CN108939220A - A kind of multifunctional cryptorrheic disease located injection means - Google Patents
A kind of multifunctional cryptorrheic disease located injection means Download PDFInfo
- Publication number
- CN108939220A CN108939220A CN201810727025.XA CN201810727025A CN108939220A CN 108939220 A CN108939220 A CN 108939220A CN 201810727025 A CN201810727025 A CN 201810727025A CN 108939220 A CN108939220 A CN 108939220A
- Authority
- CN
- China
- Prior art keywords
- signal
- frequency
- syringe
- indicate
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/42—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests having means for desensitising skin, for protruding skin to facilitate piercing, or for locating point where body is to be pierced
- A61M5/427—Locating point where body is to be pierced, e.g. vein location means using ultrasonic waves, injection site templates
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/178—Syringes
- A61M5/20—Automatic syringes, e.g. with automatically actuated piston rod, with automatic needle injection, filling automatically
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/178—Syringes
- A61M5/31—Details
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/178—Syringes
- A61M5/31—Details
- A61M5/315—Pistons; Piston-rods; Guiding, blocking or restricting the movement of the rod or piston; Appliances on the rod for facilitating dosing ; Dosing mechanisms
- A61M5/31533—Dosing mechanisms, i.e. setting a dose
- A61M5/31545—Setting modes for dosing
- A61M5/31546—Electrically operated dose setting, e.g. input via touch screen or plus/minus buttons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/178—Syringes
- A61M5/31—Details
- A61M5/315—Pistons; Piston-rods; Guiding, blocking or restricting the movement of the rod or piston; Appliances on the rod for facilitating dosing ; Dosing mechanisms
- A61M5/31565—Administration mechanisms, i.e. constructional features, modes of administering a dose
- A61M5/31576—Constructional features or modes of drive mechanisms for piston rods
- A61M5/31578—Constructional features or modes of drive mechanisms for piston rods based on axial translation, i.e. components directly operatively associated and axially moved with plunger rod
- A61M5/3158—Constructional features or modes of drive mechanisms for piston rods based on axial translation, i.e. components directly operatively associated and axially moved with plunger rod performed by axially moving actuator operated by user, e.g. an injection button
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/178—Syringes
- A61M5/20—Automatic syringes, e.g. with automatically actuated piston rod, with automatic needle injection, filling automatically
- A61M2005/2006—Having specific accessories
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/178—Syringes
- A61M5/20—Automatic syringes, e.g. with automatically actuated piston rod, with automatic needle injection, filling automatically
- A61M2005/2026—Semi-automatic, e.g. user activated piston is assisted by additional source of energy
Landscapes
- Health & Medical Sciences (AREA)
- Vascular Medicine (AREA)
- Engineering & Computer Science (AREA)
- Anesthesiology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Hematology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Dermatology (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention belongs to medical apparatus technical fields, disclose a kind of multifunctional cryptorrheic disease located injection means, are provided with syringe, and syringe forward end seal is connected with adjustable syringe needle；Pressing has rubber seal plug in syringe, and rubber seal plug rear end is connected with push-pull rod；Upper end screw is fixed with air pump；Back end of syringe screw is fixed with battery；Telescopic end is connected in fixing end, and fixing end back end activity is equipped with adjusting knob, and syringe front end is linked with switch button and infrared acquisition lamp.The present invention is more advantageous to the positioning to injection position, reduces the workload of medical staff by infrared radiation；Hand injection is replaced by air pump, is avoided because that there is a situation where injection speeds is improper for hand shaking；Syringe needle length is adjustable, can inject to different endocrine system diseases, the scope of application is more extensive.
Description
Technical field
The invention belongs to medical apparatus technical fields more particularly to a kind of multifunctional cryptorrheic disease to be filled with locating injection
It sets.
Background technique
Currently, the prior art commonly used in the trade is such that
The common sympton of endocrine system disease has: acne, menoxenia, parahypnosis, insanity, diet are abnormal, stomach is received
Abnormal etc., the treatment of many diseases needs to rely on injection and is treated.Existing endocrine injection device is simpler and cruder, does not have
Standby positioning function, increases the working dynamics of medical staff；It is injected manually, probationer nurse may make to infuse because of hand shaking
Firing rate degree is improper；Existing syringe needle length is fixed, and the scope of application is narrower.
In conclusion problem of the existing technology is:
Existing endocrine injection device is simpler and cruder, does not have positioning function, increases the working dynamics of medical staff；
It is injected manually, probationer nurse may keep injection speed improper because of hand shaking；Syringe needle length is fixed, and the scope of application compares
It is narrow.Intelligent control effect is poor.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of multifunctional cryptorrheic diseases is filled with locating injection
It sets.
The invention is realized in this way a kind of multifunctional cryptorrheic disease located injection means, are provided with
Syringe；
The syringe forward end seal is connected with adjustable syringe needle, and pressing has rubber seal plug, rubber seal in the syringe
Plug rear end is connected with push-pull rod；Upper end screw is fixed with air pump；Back end of syringe screw is fixed with battery；
Telescopic end is connected in fixing end, and fixing end back end activity is equipped with adjusting knob, and syringe front end is linked with switch
Button and infrared acquisition lamp；
For the air pump by wire connected battery, battery rear end is linked with control button, and control button totally two, respectively
Air inlet button, outlet button；
Control module and signal processing module are embedded in air inlet button, outlet button；Control module and signal processing
The wired or wireless connection of module；Signal processing module is connect with the injection induction module being mounted in syringe；Control module with
The connection of air pump signal；
Control module carries out nonlinear transformation to signal s (t) is received, and carries out as follows:
WhereinA indicates the amplitude of signal, and a (m) indicates signal
Symbol, p (t) indicate shaping function, fcIndicate the carrier frequency of signal,Indicate the phase of signal, it is non-by this
It is obtained after linear transformation:
Decision plane is determined further according to the characteristic spectrum of nonlinear transformation signal；
Judge whether the communication channel for receiving signal is presented mutatis mutandis static conversion characteristic；
When mutatis mutandis static conversion characteristic is presented in the communication channel, using support vector machine method in the decision plane
In select decision boundary；
When mutatis mutandis static conversion characteristic is not presented in communication channel, using fuzzy clustering method in the decision plane
Select decision boundary；
The signal received is detected according to the decision boundary；
It is described to determine that decision plane includes: according to the characteristic spectrum for receiving signal
Linear transformation is carried out to the discrete signal vector for receiving signal and obtains unitary transformation matrix；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum；
Decision plane is obtained from energy feature spectrum；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum includes:
To counter-diagonal element composition matrix carry out square and multiplied by the elements in a main diagonal form matrix, received
The energy feature of signal is composed；
Obtaining decision plane from energy feature spectrum includes:
According to the encircled energy of energy feature spectrum, waveform symmetry and local wave function variance from the energy
At least one set of feature vector is extracted in characteristic spectrum；
The feature vector as decision plane is obtained from the feature vector of extraction in the way of pattern classification；
The discrete signal vector for receiving signal samples to obtain by Nyquist law, and sampling length is covered and connect
The predetermined ratio energy of the collection of letters number；
Before obtaining decision plane in composing from the energy feature, the method also includes:
The energy feature is composed and carries out sliding average processing；
The signal acceptance method is applied to the communication system or on-off keying modulation of time-hopping pulse position modulation mode
The communication system of mode；
The eigenvector method of the extraction specifically includes the following steps:
Signal is obtained, data are acquired by sensor and processing is amplified to signal；
Signal carries out segment processing；Mean value, variance, the accumulated value of signal and peak value 4 are extracted in every segment signal
Basic time domain parameter, the case where doubtful leakage is judged whether there is by the difference of 4 parameter values of adjacent segment signal occur
One layer of decision judgement: executing the denoising of step wavelet packet down if having, and no person jumps to execution and obtains signal；
Wavelet packet denoising；The signal of acquisition is denoised using improvement Wavelet Packet Algorithm；
WAVELET PACKET DECOMPOSITION and reconstruct；I.e. using improve Wavelet Packet Algorithm to the signal of acquisition carry out WAVELET PACKET DECOMPOSITION with again
Structure obtains list band reconstruction signal；
Extract signal characteristic parameter；It is extracted in the list band signal of reconstruct: time domain energy, time domain peak, frequency domain energy
The parameter of amount, frequency domain peak value, coefficient of kurtosis, variance, frequency spectrum and coefficient skewness 8 expression signal characteristics；
Composition characteristic vector, that is, utilize principal component analytical method, and Binding experiment analysis selects 3 to 8 from above-mentioned parameter
It can obviously indicate the parameter composition feature vector of sound emission signal characteristic, and these feature vectors are input to support vector machines
Decision judgement is carried out, i.e., second layer decision judges, judges whether wrong generation according to the output of support vector machines；
Wavelet packet denoising and WAVELET PACKET DECOMPOSITION include: with reconstruct
Signals extension carries out parabola continuation to each layer signal of WAVELET PACKET DECOMPOSITION；
If signal data is x (a), x (a+1), x (a+2), the then expression formula of continuation operator E are as follows:
Eliminate list band un-necessary frequency ingredient；
By the signal after continuation and decompose low-pass filter h0Convolution obtains low frequency coefficient, then calculates by HF-cut-IF
Subprocessing removes extra frequency content, then carries out down-sampling, obtains next layer of low frequency coefficient；By after continuation signal with
Decompose high-pass filter g0Convolution obtains high frequency coefficient, then by LF-cut-IF operator handle, remove extra frequency at
Point, then down-sampling is carried out, next layer of high frequency coefficient is obtained, HF-cut-IF operator uses following formula
LF-cut-IF operator uses following formula
In HF-cut-IF operator public affairs and LF-cut-IF operator formula, x (n) is 2jThe coefficient of wavelet packet, N on scalej
It indicates 2jThe length of data on scale,
The reconstruct of list band signal:
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1It is filtered with low-pass reconstruction
Wave device h1Obtained signal is used HF-cut-IF, LF-cut-IF operator to handle by convolution respectively, obtains list band reconstruction signal；
Signal processing module processing method includes: the frequency-hopping mixing signal time-frequency domain matrix to the transmission of injection induction moduleIt is pre-processed:
The first step is rightLow energy is carried out to pre-process, i.e., in each sampling instant p,
It willValue of the amplitude less than thresholding ε sets 0, obtains
The setting of thresholding ε is determined according to the average energy for receiving signal；
Second step finds out the time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero, uses
It indicates, whereinIndicate the response of p moment time-frequencyCorresponding frequency indices when non-zero, to this
A little non-zero normalization pretreatments, obtain pretreated vector b (p, q)=[b1(p, q), b2(p, q) ..., bM(p, q)
]T, wherein
Further, signal processing module is additionally provided with synchronized orthogonal Frequency Hopping Signal blind source separating module, the synchronized orthogonal
The synchronized orthogonal Frequency Hopping Signal blind source separation method of Frequency Hopping Signal blind source separating module includes:
Step 1, the Frequency Hopping Signal using the array antenna received containing M array element from multiple synchronized orthogonal frequency hopping radio sets,
It is sampled to per reception signal all the way, the road the M discrete time-domain mixed signal after being sampled
Step 2 carries out overlapping adding window Short Time Fourier Transform to the road M discrete time-domain mixed signal, obtains M mixing letter
Number time-frequency domain matrixP=0,1 ..., P-1, q=0,1 ..., Nfft- 1, wherein P table
Show total window number, NfftIndicate FFT transform length；In step 2, (p, q) indicates time-frequency index, and specific time-frequency value isHere NfftIndicate the length of FFT transform, p indicates adding window number, TsIndicate sampling interval, fsIt indicates
Sample frequency, C are integer, indicate the sampling number at Short Time Fourier Transform adding window interval, C < Nfft, and Kc=Nfft/ C is whole
Number, that is to say, that using the Short Time Fourier Transform of overlapping adding window；
Step 3, to frequency-hopping mixing signal time-frequency domain matrix obtained in step 2
It is pre-processed；
Step 4 estimates the jumping moment of each jump using clustering algorithm and respectively jumps corresponding normalized hybrid matrix
Column vector, Hopping frequencies；It is right at p (p=0,1,2 ... the P-1) momentThe frequency values of expression are clustered, obtained cluster
Center NumberIndicate carrier frequency number existing for the p moment,A cluster centre then indicates the size of carrier frequency, uses respectivelyIt indicates；To each sampling instant p (p=0,1,2 ... P-1), clustering algorithm pair is utilizedInto
Row cluster, it is same availableA cluster centre is usedIt indicates；To allIt averages and is rounded, obtain
To the estimation of source signal numberThat is:
It finds outAt the time of, use phIt indicates, to the p of each section of continuous valuehIntermediate value is sought, is usedTable
Show that paragraph 1 is connected phIntermediate value, thenIndicate the estimation at the 1st frequency hopping moment；It is obtained according to estimationp≠phAnd the 4th frequency hopping moment for estimating in step estimate it is each jump it is correspondingIt is a
Hybrid matrix column vectorSpecific formula are as follows:
HereIndicate that the 1st jump is correspondingA mixed moment
Array vector estimated value；Estimate the corresponding carrier frequency of each jump, usesIndicate that the 1st jump is correspondingA frequency estimation, calculation formula are as follows:
Step 5 estimates time-frequency domain frequency hopping source signal according to the normalization hybrid matrix column vector that step 4 is estimated；
Step 6 splices the time-frequency domain frequency hopping source signal between different frequency hopping points；Estimate that the 1st jump is correspondingIt is a
Incident angle is usedIndicate the corresponding incident angle of the 1st n-th of source signal of jump,Calculation formula it is as follows:
Indicate n-th of hybrid matrix column vector that the 1st jump estimation obtainsM-th of element, c indicate the light velocity,
That is vc=3 × 108Meter per second；Judge that the 1st (1=2,3 ...) jumps pair between the source signal of estimation and the source signal of the first jump estimation
It should be related to, judgment formula is as follows:
Wherein mn (l)Indicate the m of the 1st jump estimationn (l)A signal and n-th of signal of the first jump estimation belong to the same source
Signal；By different frequency hopping point estimation to the signal for belonging to the same source signal be stitched together, as final time-frequency domain source
Signal estimation, uses YnTime-frequency domain estimated value of n-th source signal of (p, q) expression on time frequency point (p, q), p=0,1,
2 ..., P, q=0,1,2 ..., Nfft- 1, it may be assumed that
Step 7 restores time domain frequency hopping source signal according to source signal time-frequency domain estimated value；To each sampling instant p (p=
0,1,2 ...) frequency domain data Yn(p, q), q=0,1,2 ..., Nfft- 1 is NfftThe IFFT transformation of point, obtains p sampling instant
Corresponding time domain frequency hopping source signal, uses yn(p, qt)(qt=0,1,2 ..., Nfft- 1) it indicates；Above-mentioned all moment are obtained
Time domain frequency hopping source signal yn(p, qt) processing is merged, final time domain frequency hopping source signal estimation is obtained, specific formula is as follows:
Here Kc=Nfft/ C, C are the sampling number at Short Time Fourier Transform adding window interval, NfftFor the length of FFT transform.
Further, the infrared acquisition lamp connects infrared acquisition lamp by conducting wire by wire connected battery, switch button.
Further, the air pump is connect with syringe inner sealing, air pump air inlet and outlet end and extraneous connection.
Further, nut one end between fixing end and syringe is bonded on syringe, and another and fixing end is threaded together；
Push-and-pull rod rear end is bonded with injection handle；
Form friction pattern is bonded in the outer surface of syringe；Graduation mark is carved on the outer wall of syringe.
Advantages of the present invention and good effect are as follows:
The invention is more advantageous to the positioning to injection position, reduces the workload of medical staff by infrared radiation；
Hand injection is replaced by air pump, is avoided because that there is a situation where injection speeds is improper for hand shaking；Syringe needle length is adjustable, can be to not
Same endocrine system disease is injected, and the scope of application is more extensive.
The present invention has infrared positioning function, and operation is simple, replaces hand injection by automatic injection, syringe needle length is adjustable
Section, the scope of application are more extensive.
Control module carries out nonlinear transformation to signal s (t) is received, and carries out as follows:
WhereinA indicates the amplitude of signal, and a (m) indicates signal
Symbol, p (t) indicate shaping function, fcIndicate the carrier frequency of signal,Indicate the phase of signal, it is non-by this
It is obtained after linear transformation:
The accurate data that can be obtained realize intelligent control.
Signal processing module processing method includes: the frequency-hopping mixing signal time-frequency domain matrix to the transmission of injection induction moduleIt is pre-processed: can get accurately injection data on flows.
Detailed description of the invention
Fig. 1 is multifunctional cryptorrheic disease located injection means structural schematic diagram provided in an embodiment of the present invention.
Fig. 2 is adjustable syringe needle detailed schematic provided in an embodiment of the present invention.
Fig. 3 is switch button provided in an embodiment of the present invention, infrared acquisition modulated structure schematic diagram.
Fig. 4 is injection head addition structure chart provided in an embodiment of the present invention.
Fig. 5 is the enlarged drawing inside syringe provided in an embodiment of the present invention.
Fig. 6 is the addition structure chart of syringe outer wall provided in an embodiment of the present invention.
In figure: 1, syringe；2, syringe needle is adjusted；3, rubber seal plug；4, push-pull rod；5, air pump；6, battery；7, control is pressed
Button；8, telescopic end；9, fixing end；10, adjusting knob；11, switch button；12, infrared acquisition lamp；13, plastic nut；14, it infuses
Penetrate handle；15, form friction pattern；16, graduation mark.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
As shown in Figure 1 to Figure 3, which includes: syringe 1, adjustable syringe needle
2, rubber seal plug 3, push-pull rod 4, air pump 5, battery 6, control button 7, telescopic end 8, fixing end 9, adjusting knob 10, switch
Button 11, infrared acquisition lamp 12.
1 forward end seal of syringe is connected with adjustable syringe needle 2, and pressing has rubber seal plug 3, rubber in the syringe 1
3 rear end of sealing-plug is connected with push-pull rod 4, and the 1 upper end screw of syringe is fixed with air pump 5, and the 1 rear end screw of syringe is fixed
There is battery 6；
Telescopic end 8 is connected in fixing end 9, and 9 back end activity of fixing end is equipped with adjusting knob 10, and 1 front end of syringe is bonded
There are switch button 11 and infrared acquisition lamp 12.
For air pump 5 by wire connected battery 6,6 rear end of battery is linked with control button 7, control button 7 totally two, distinguishes
It is air inlet button, outlet button.By wire connected battery 6, switch button 11 is connected infrared infrared acquisition lamp 12 by conducting wire
Detecting lamp 12.Air pump 5 is connect with 1 inner sealing of syringe, 5 air inlet and outlet end of air pump and extraneous connection.
As shown in Fig. 4 is the addition structure of the device, and a plastic nut is added between fixing end 9 and syringe 1
13, one section of the nut is bonded on syringe 1, and the other end and fixing end 9 are threaded together, can after having used the injection device
It is rotated and is thrown away with the fixing end 9 that plastic nut 13 is connected, then in this way can again to remaining part disinfection and sterilization
Medical expense is saved, is inserted into when reusing, then new syringe needle.
It is the internal structure chart of syringe 1 in the device as shown in Fig. 5, pressing has rubber seal plug 3 in the syringe 1,
3 rear end of rubber seal plug is connected with push-pull rod 4, and 4 rear end of push-pull rod is bonded with injection handle 14, rubber seal plug in the syringe 1
3 one end relies on the variation of intraductal pressure, to control the speed of injection speed.
It is the addition structure of the syringe 1 as shown in Fig. 6, the form friction pattern 15 is bonded in the outer surface of syringe 1, works as medical care
Personnel are in use, can prevent from being decorated with scale on the outer wall of the syringe 1 because of the deviation that the sliding of hand causes injection to generate
Line 16 facilitates the observation and operation of medical staff.
It is noted that the present apparatus must carry out cleaning disinfection and sterilization after use, prevent from polluting.
The working principle of the invention: the telescopic end 8 of adjustable syringe needle 2 is carried out by telescopic adjustment by adjusting knob 10, is led to
Cross press switch button 11 open infrared acquisition lamp 12 (HY-IR1206), by control button 7 to air pump 5 (KYK50BPM) into
The control of traveling gas outlet, so that push-pull rod 4 is driven, compound rubber sealing ring 3, and then realize automatic injection.
Control module and signal processing module are embedded in air inlet button, outlet button；Control module and signal processing
The wired or wireless connection of module；Signal processing module is connect with the injection induction module being mounted in syringe；Control module with
The connection of air pump signal；
Control module carries out nonlinear transformation to signal s (t) is received, and carries out as follows:
WhereinA indicates the amplitude of signal, and a (m) indicates signal
Symbol, p (t) indicate shaping function, fcIndicate the carrier frequency of signal,Indicate the phase of signal, it is non-by this
It is obtained after linear transformation:
Decision plane is determined further according to the characteristic spectrum of nonlinear transformation signal；
Judge whether the communication channel for receiving signal is presented mutatis mutandis static conversion characteristic；
When mutatis mutandis static conversion characteristic is presented in the communication channel, using support vector machine method in the decision plane
In select decision boundary；
When mutatis mutandis static conversion characteristic is not presented in communication channel, using fuzzy clustering method in the decision plane
Select decision boundary；
The signal received is detected according to the decision boundary；
It is described to determine that decision plane includes: according to the characteristic spectrum for receiving signal
Linear transformation is carried out to the discrete signal vector for receiving signal and obtains unitary transformation matrix；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum；
Decision plane is obtained from energy feature spectrum；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy
Characteristic spectrum includes:
To counter-diagonal element composition matrix carry out square and multiplied by the elements in a main diagonal form matrix, received
The energy feature of signal is composed；
Obtaining decision plane from energy feature spectrum includes:
According to the encircled energy of energy feature spectrum, waveform symmetry and local wave function variance from the energy
At least one set of feature vector is extracted in characteristic spectrum；
The feature vector as decision plane is obtained from the feature vector of extraction in the way of pattern classification；
The discrete signal vector for receiving signal samples to obtain by Nyquist law, and sampling length is covered and connect
The predetermined ratio energy of the collection of letters number；
Before obtaining decision plane in composing from the energy feature, the method also includes:
The energy feature is composed and carries out sliding average processing；
The signal acceptance method is applied to the communication system or on-off keying modulation of time-hopping pulse position modulation mode
The communication system of mode；
The eigenvector method of the extraction specifically includes the following steps:
Signal is obtained, data are acquired by sensor and processing is amplified to signal；
Signal carries out segment processing；Mean value, variance, the accumulated value of signal and peak value 4 are extracted in every segment signal
Basic time domain parameter, the case where doubtful leakage is judged whether there is by the difference of 4 parameter values of adjacent segment signal occur
One layer of decision judgement: executing the denoising of step wavelet packet down if having, and no person jumps to execution and obtains signal；
Wavelet packet denoising；The signal of acquisition is denoised using improvement Wavelet Packet Algorithm；
WAVELET PACKET DECOMPOSITION and reconstruct；I.e. using improve Wavelet Packet Algorithm to the signal of acquisition carry out WAVELET PACKET DECOMPOSITION with again
Structure obtains list band reconstruction signal；
Extract signal characteristic parameter；It is extracted in the list band signal of reconstruct: time domain energy, time domain peak, frequency domain energy
The parameter of amount, frequency domain peak value, coefficient of kurtosis, variance, frequency spectrum and coefficient skewness 8 expression signal characteristics；
Composition characteristic vector, that is, utilize principal component analytical method, and Binding experiment analysis selects 3 to 8 from above-mentioned parameter
It can obviously indicate the parameter composition feature vector of sound emission signal characteristic, and these feature vectors are input to support vector machines
Decision judgement is carried out, i.e., second layer decision judges, judges whether wrong generation according to the output of support vector machines；
Wavelet packet denoising and WAVELET PACKET DECOMPOSITION include: with reconstruct
Signals extension carries out parabola continuation to each layer signal of WAVELET PACKET DECOMPOSITION；
If signal data is x (a), x (a+1), x (a+2), the then expression formula of continuation operator E are as follows:
Eliminate list band un-necessary frequency ingredient；
By the signal after continuation and decompose low-pass filter h0Convolution obtains low frequency coefficient, then calculates by HF-cut-IF
Subprocessing removes extra frequency content, then carries out down-sampling, obtains next layer of low frequency coefficient；By after continuation signal with
Decompose high-pass filter g0Convolution obtains high frequency coefficient, then by LF-cut-IF operator handle, remove extra frequency at
Point, then down-sampling is carried out, next layer of high frequency coefficient is obtained, HF-cut-IF operator uses following formula
LF-cut-IF operator uses following formula
In HF-cut-IF operator public affairs and LF-cut-IF operator formula, x (n) is 2jThe coefficient of wavelet packet, N on scalej
It indicates 2jThe length of data on scale,
The reconstruct of list band signal:
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1It is filtered with low-pass reconstruction
Wave device h1Obtained signal is used HF-cut-IF, LF-cut-IF operator to handle by convolution respectively, obtains list band reconstruction signal；
Signal processing module processing method includes: the frequency-hopping mixing signal time-frequency domain matrix to the transmission of injection induction moduleIt is pre-processed:
The first step is rightIt carries out low energy to pre-process, i.e., in each sampling instant
P, willValue of the amplitude less than thresholding ε sets 0, obtains
The setting of thresholding ε is determined according to the average energy for receiving signal；
Second step finds out the time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero, uses
It indicates, whereinIndicate the response of p moment time-frequencyCorresponding frequency indices when non-zero, to this
A little non-zero normalization pretreatments, obtain pretreated vector b (p, q)=[b1(p, q), b2(p, q) ..., bM(p, q)
]T, wherein
Further, signal processing module is additionally provided with synchronized orthogonal Frequency Hopping Signal blind source separating module, the synchronized orthogonal
The synchronized orthogonal Frequency Hopping Signal blind source separation method of Frequency Hopping Signal blind source separating module includes:
Step 1, the Frequency Hopping Signal using the array antenna received containing M array element from multiple synchronized orthogonal frequency hopping radio sets,
It is sampled to per reception signal all the way, the road the M discrete time-domain mixed signal after being sampled
Step 2 carries out overlapping adding window Short Time Fourier Transform to the road M discrete time-domain mixed signal, obtains M mixing letter
Number time-frequency domain matrixP=0,1 ..., P-1, q=0,1 ..., Nfft- 1, wherein P table
Show total window number, NfftIndicate FFT transform length；In step 2, (p, q) indicates time-frequency index, and specific time-frequency value isHere NfftIndicate the length of FFT transform, p indicates adding window number, TsIndicate sampling interval, fsIt indicates
Sample frequency, C are integer, indicate the sampling number at Short Time Fourier Transform adding window interval, C < Nfft, and Kc=Nfft/ C is whole
Number, that is to say, that using the Short Time Fourier Transform of overlapping adding window；
Step 3, to frequency-hopping mixing signal time-frequency domain matrix obtained in step 2
It is pre-processed；
Step 4 estimates the jumping moment of each jump using clustering algorithm and respectively jumps corresponding normalized hybrid matrix
Column vector, Hopping frequencies；It is right at p (p=0,1,2 ... the P-1) momentThe frequency values of expression are clustered, obtained cluster
Center NumberIndicate carrier frequency number existing for the p moment,A cluster centre then indicates the size of carrier frequency, uses respectivelyIt indicates；To each sampling instant p (p=0,1,2 ... P-1), clustering algorithm pair is utilizedInto
Row cluster, it is same availableA cluster centre is usedIt indicates；To allIt averages and is rounded, obtain
To the estimation of source signal numberThat is:
It finds outAt the time of, use phIt indicates, to the p of each section of continuous valuehIntermediate value is sought, is usedTable
Show that paragraph 1 is connected phIntermediate value, thenIndicate the estimation at the 1st frequency hopping moment；It is obtained according to estimationp≠phAnd the 4th frequency hopping moment for estimating in step estimate it is each jump it is correspondingIt is a
Hybrid matrix column vectorSpecific formula are as follows:
HereIndicate that the 1st jump is correspondingA mixed moment
Array vector estimated value；Estimate the corresponding carrier frequency of each jump, usesIndicate that the 1st jump is correspondingA frequency estimation, calculation formula are as follows:
Step 5 estimates time-frequency domain frequency hopping source signal according to the normalization hybrid matrix column vector that step 4 is estimated；
Step 6 splices the time-frequency domain frequency hopping source signal between different frequency hopping points；Estimate that the 1st jump is correspondingIt is a
Incident angle is usedIndicate the corresponding incident angle of the 1st n-th of source signal of jump,Calculation formula it is as follows:
Indicate n-th of hybrid matrix column vector that the 1st jump estimation obtainsM-th of element, c indicate the light velocity,
That is vc=3 × 108Meter per second；Judge that the 1st (1=2,3 ...) jumps pair between the source signal of estimation and the source signal of the first jump estimation
It should be related to, judgment formula is as follows:
Wherein mn (l)Indicate the m of the 1st jump estimationn (l)A signal and n-th of signal of the first jump estimation belong to the same source
Signal；By different frequency hopping point estimation to the signal for belonging to the same source signal be stitched together, as final time-frequency domain source
Signal estimation, uses YnTime-frequency domain estimated value of n-th source signal of (p, q) expression on time frequency point (p, q), p=0,1,
2 ..., P, q=0,1,2 ..., Nfft- 1, it may be assumed that
Step 7 restores time domain frequency hopping source signal according to source signal time-frequency domain estimated value；To each sampling instant p (p=
0,1,2 ...) frequency domain data Yn(p, q), q=0,1,2 ..., Nfft- 1 is NfftThe IFFT transformation of point, obtains p sampling instant
Corresponding time domain frequency hopping source signal, uses yn(p, qt)(qt=0,1,2 ..., Nfft- 1) it indicates；Above-mentioned all moment are obtained
Time domain frequency hopping source signal yn(p, qt) processing is merged, final time domain frequency hopping source signal estimation is obtained, specific formula is as follows:
Here Kc=Nfft/ C, C are the sampling number at Short Time Fourier Transform adding window interval, NfftFor the length of FFT transform.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (5)
1. a kind of multifunctional cryptorrheic disease located injection means, which is characterized in that the multifunctional cryptorrheic disease is used fixed
Position injection device is provided with
Syringe；
The syringe forward end seal is connected with adjustable syringe needle, and pressing in the syringe has rubber seal plug, after rubber seal plug
End is connected with push-pull rod；Upper end screw is fixed with air pump；Back end of syringe screw is fixed with battery；
Telescopic end is connected in fixing end, and fixing end back end activity is equipped with adjusting knob, and syringe front end is linked with switch button
With infrared acquisition lamp；
For the air pump by wire connected battery, battery rear end is linked with control button, control button totally two, respectively air inlet
Button, outlet button；
Control module and signal processing module are embedded in air inlet button, outlet button；Control module and signal processing module
Wired or wireless connection；Signal processing module is connect with the injection induction module being mounted in syringe；Control module and air pump
Signal connection；
Control module carries out nonlinear transformation to signal s (t) is received, and carries out as follows:
WhereinA indicates the amplitude of signal, and a (m) indicates the code of signal
Metasymbol, p (t) indicate shaping function, fcIndicate the carrier frequency of signal,Indicate the phase of signal, it is non-linear by this
It is obtained after transformation:
Decision plane is determined further according to the characteristic spectrum of nonlinear transformation signal；
Judge whether the communication channel for receiving signal is presented mutatis mutandis static conversion characteristic；
When mutatis mutandis static conversion characteristic is presented in the communication channel, selected in the decision plane using support vector machine method
Decision boundary out；
When mutatis mutandis static conversion characteristic is not presented in communication channel, selected in the decision plane using fuzzy clustering method
Decision boundary；
The signal received is detected according to the decision boundary；
It is described to determine that decision plane includes: according to the characteristic spectrum for receiving signal
Linear transformation is carried out to the discrete signal vector for receiving signal and obtains unitary transformation matrix；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy feature
Spectrum；
Decision plane is obtained from energy feature spectrum；
According in the unitary transformation matrix the elements in a main diagonal and counter-diagonal element calculate receive signal energy feature
Spectrum includes:
To counter-diagonal element composition matrix carry out square and multiplied by the elements in a main diagonal form matrix, obtain receive signal
Energy feature spectrum；
Obtaining decision plane from energy feature spectrum includes:
According to the encircled energy of energy feature spectrum, waveform symmetry and local wave function variance from the energy feature
At least one set of feature vector is extracted in spectrum；
The feature vector as decision plane is obtained from the feature vector of extraction in the way of pattern classification；
The discrete signal vector for receiving signal samples to obtain by Nyquist law, and sampling length covers reception letter
Number predetermined ratio energy；
Before obtaining decision plane in composing from the energy feature, the method also includes:
The energy feature is composed and carries out sliding average processing；
The signal acceptance method is applied to the communication system or on-off keying modulation system of time-hopping pulse position modulation mode
Communication system；
The eigenvector method of the extraction specifically includes the following steps:
Signal is obtained, data are acquired by sensor and processing is amplified to signal；
Signal carries out segment processing；It is basic that mean value, variance, the accumulated value of signal and peak value 4 are extracted in every segment signal
Time domain parameter, the first layer that the case where judging whether there is doubtful leakage by the difference of 4 parameter values of adjacent segment signal occurs
Decision judgement: executing the denoising of step wavelet packet down if having, and no person jumps to execution and obtains signal；
Wavelet packet denoising；The signal of acquisition is denoised using improvement Wavelet Packet Algorithm；
WAVELET PACKET DECOMPOSITION and reconstruct；I.e. using Wavelet Packet Algorithm is improved to the signal progress WAVELET PACKET DECOMPOSITION of acquisition and reconstruct, obtain
To list band reconstruction signal；
Extract signal characteristic parameter；It is extracted in the list band signal of reconstruct: time domain energy, time domain peak, frequency domain energy, frequency
Domain peak value, coefficient of kurtosis, variance, the parameter of frequency spectrum and coefficient skewness 8 expression signal characteristics；
Composition characteristic vector, that is, utilize principal component analytical method, and Binding experiment analysis selects 3 to 8 energy bright from above-mentioned parameter
The aobvious parameter for indicating sound emission signal characteristic forms feature vector, and these feature vectors are input to support vector machines and are determined
Plan judgement, i.e., second layer decision judges, judges whether wrong generation according to the output of support vector machines；
Wavelet packet denoising and WAVELET PACKET DECOMPOSITION include: with reconstruct
Signals extension carries out parabola continuation to each layer signal of WAVELET PACKET DECOMPOSITION；
If signal data is x (a), x (a+1), x (a+2), the then expression formula of continuation operator E are as follows:
Eliminate list band un-necessary frequency ingredient；
By the signal after continuation and decompose low-pass filter h0Convolution obtains low frequency coefficient, then by HF-cut-IF operator
Reason, removes extra frequency content, then carry out down-sampling, obtains next layer of low frequency coefficient；By after continuation signal and decomposition
High-pass filter g0Convolution obtains high frequency coefficient, then handles by LF-cut-IF operator, removes extra frequency content, then
Down-sampling is carried out, next layer of high frequency coefficient is obtained, HF-cut-IF operator uses following formula
LF-cut-IF operator uses following formula
In HF-cut-IF operator public affairs and LF-cut-IF operator formula, x (n) is 2jThe coefficient of wavelet packet, N on scalejIt indicates
2jThe length of data on scale,K=0,1 ..., Nj-1；N=0,1 ..., Nj-1；
The reconstruct of list band signal:
Obtained high and low frequency coefficient is up-sampled, then respectively with high pass reconstruction filter g1With low-pass reconstruction filter h1
Obtained signal is used HF-cut-IF, LF-cut-IF operator to handle by convolution respectively, obtains list band reconstruction signal；
Signal processing module processing method includes: the frequency-hopping mixing signal time-frequency domain matrix to the transmission of injection induction moduleIt is pre-processed:
The first step is rightLow energy is carried out to pre-process, i.e., it, will in each sampling instant pValue of the amplitude less than thresholding ε sets 0, obtains
The setting of thresholding ε is determined according to the average energy for receiving signal；
Second step finds out the time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero, uses
It indicates, whereinIndicate the response of p moment time-frequencyCorresponding frequency indices when non-zero, to this
A little non-zero normalization pretreatments, obtain pretreated vector b (p, q)=[b1(p, q), b2 (p, q) ..., bM(p, q)
]T, wherein
2. multifunctional cryptorrheic disease located injection means as described in claim 1, which is characterized in that signal processing module is also
It is provided with synchronized orthogonal Frequency Hopping Signal blind source separating module, the synchronized orthogonal of the synchronized orthogonal Frequency Hopping Signal blind source separating module
Frequency Hopping Signal blind source separation method includes:
Step 1, the Frequency Hopping Signal using the array antenna received containing M array element from multiple synchronized orthogonal frequency hopping radio sets, to each
Road receives signal and is sampled, the road the M discrete time-domain mixed signal after being sampled
Step 2 carries out overlapping adding window Short Time Fourier Transform to the road M discrete time-domain mixed signal, obtains M mixed signal
Time-frequency domain matrixWherein P indicates total
Window number, NfftIndicate FFT transform length；In step 2, (p, q) indicates time-frequency index, and specific time-frequency value isHere NfftIndicate the length of FFT transform, p indicates adding window number, TsIndicate sampling interval, fsExpression is adopted
Sample frequency, C are integer, indicate the sampling number at Short Time Fourier Transform adding window interval, C < Nfft, and Kc=Nfft/ C is integer,
That is using the Short Time Fourier Transform of overlapping adding window；
Step 3, to frequency-hopping mixing signal time-frequency domain matrix obtained in step 2It carries out
Pretreatment；
Step 4, using clustering algorithm estimate each jump jumping moment and respectively jump corresponding normalized mixed moment array to
Amount, Hopping frequencies；It is right at p (p=0,1,2 ... the P-1) momentThe frequency values of expression are clustered, obtained cluster centre
NumberIndicate carrier frequency number existing for the p moment,A cluster centre then indicates the size of carrier frequency, uses respectively
It indicates；To each sampling instant p (p=0,1,2 ... P-1), clustering algorithm pair is utilizedIt is clustered, it is same availableA cluster centre is usedIt indicates；To allIt averages and is rounded, obtain the estimation of source signal numberThat is:
It finds outAt the time of, use phIt indicates, to the p of each section of continuous valuehIntermediate value is sought, is usedIndicate the 1st
Duan Xianglian phIntermediate value, thenIndicate the estimation at the 1st frequency hopping moment；
It is obtained according to estimationAnd the 4th frequency hopping moment for estimating in step estimate
Each jump is correspondingA hybrid matrix column vectorSpecific formula are as follows:
HereIndicate that the 1st jump is correspondingA mixed moment array
Vector estimated value；Estimate the corresponding carrier frequency of each jump, usesIndicate that the 1st jump is correspondingA frequency
Rate estimated value, calculation formula are as follows:
Step 5 estimates time-frequency domain frequency hopping source signal according to the normalization hybrid matrix column vector that step 4 is estimated；
Step 6 splices the time-frequency domain frequency hopping source signal between different frequency hopping points；Estimate that the 1st jump is correspondingA incidence
Angle is usedIndicate the corresponding incident angle of the 1st n-th of source signal of jump,Calculation formula it is as follows:
Indicate n-th of hybrid matrix column vector that the 1st jump estimation obtainsM-th of element, c indicate the light velocity, i.e. vc
=3 × 108Meter per second；It is corresponding between the source signal of estimation and the source signal of the first jump estimation to judge that the 1st (1=2,3 ...) is jumped
Relationship, judgment formula are as follows:
Wherein mn (l)Indicate the m of the 1st jump estimationn (l)A signal and n-th of signal of the first jump estimation belong to the same source and believe
Number；By different frequency hopping point estimation to the signal for belonging to the same source signal be stitched together, believe as final time-frequency domain source
Number estimation, use YnTime-frequency domain estimated value of n-th of the source signal of (p, q) expression on time frequency point (p, q), p=0,1,2 ..., P,
Q=0,1,2 ..., Nfft- 1, it may be assumed that
Step 7 restores time domain frequency hopping source signal according to source signal time-frequency domain estimated value；To each sampling instant p (p=0,1,
2 ...) frequency domain data Yn(p, q), q=0,1,2 ..., Nfft- 1 is NfftThe IFFT transformation of point, it is corresponding to obtain p sampling instant
Time domain frequency hopping source signal, uses yn(p, qt)(qt=0,1,2 ..., Nfft- 1) it indicates；The time domain frequency hopping obtained to above-mentioned all moment
Source signal yn(p, qt) processing is merged, final time domain frequency hopping source signal estimation is obtained, specific formula is as follows:
Here Kc=Nfft/ C, C are the sampling number at Short Time Fourier Transform adding window interval, NfftFor the length of FFT transform.
3. multifunctional cryptorrheic disease located injection means as described in claim 1, which is characterized in that the infrared acquisition lamp
By wire connected battery, switch button connects infrared acquisition lamp by conducting wire.
4. multifunctional cryptorrheic disease located injection means as described in claim 1, which is characterized in that the air pump and syringe
Inner sealing connection, air pump air inlet and outlet end and extraneous connection.
5. multifunctional cryptorrheic disease located injection means as described in claim 1, which is characterized in that in fixing end and syringe
Between nut one end be bonded on syringe, another and fixing end is threaded together；
Push-and-pull rod rear end is bonded with injection handle；
Form friction pattern is bonded in the outer surface of syringe；Graduation mark is carved on the outer wall of syringe.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810727025.XA CN108939220A (en) | 2018-06-25 | 2018-06-25 | A kind of multifunctional cryptorrheic disease located injection means |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810727025.XA CN108939220A (en) | 2018-06-25 | 2018-06-25 | A kind of multifunctional cryptorrheic disease located injection means |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108939220A true CN108939220A (en) | 2018-12-07 |
Family
ID=64485603
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810727025.XA Pending CN108939220A (en) | 2018-06-25 | 2018-06-25 | A kind of multifunctional cryptorrheic disease located injection means |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108939220A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080281297A1 (en) * | 2007-03-19 | 2008-11-13 | Benny Pesach | Method and device for drug delivery |
| CN202590080U (en) * | 2012-05-21 | 2012-12-12 | 王金峰 | Convenient injector |
| CN204543136U (en) * | 2015-04-08 | 2015-08-12 | 常州市久虹医疗器械有限公司 | A kind of clinical syringe needles |
| CN106359023A (en) * | 2016-09-13 | 2017-02-01 | 叶永伟 | Agricultural irrigation system based on internet of things |
| CN107998486A (en) * | 2017-11-16 | 2018-05-08 | 凌红本 | One kind anesthesia special syringe |
-
2018
- 2018-06-25 CN CN201810727025.XA patent/CN108939220A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080281297A1 (en) * | 2007-03-19 | 2008-11-13 | Benny Pesach | Method and device for drug delivery |
| CN202590080U (en) * | 2012-05-21 | 2012-12-12 | 王金峰 | Convenient injector |
| CN204543136U (en) * | 2015-04-08 | 2015-08-12 | 常州市久虹医疗器械有限公司 | A kind of clinical syringe needles |
| CN106359023A (en) * | 2016-09-13 | 2017-02-01 | 叶永伟 | Agricultural irrigation system based on internet of things |
| CN107998486A (en) * | 2017-11-16 | 2018-05-08 | 凌红本 | One kind anesthesia special syringe |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106725488B (en) | Wireless field intensity respiration detection method and device and respiration detector | |
| CN102215746B (en) | Method for detecting heart beating and/or breathing | |
| CN103027667B (en) | Characteristic parameter extraction of pulse wave | |
| CN104173043B (en) | Electrocardiogram (ECG) data analysis method suitable for mobile platform | |
| CN105054926A (en) | Electrocardiosignal feature information extraction method and device | |
| CN106037743B (en) | A kind of method and apparatus extracting respiratory rate | |
| CN107041743A (en) | A kind of real-time R wave detecting methods of electrocardiosignal | |
| CN106108904B (en) | A kind of contactless human body respiration parameter method for real-time measurement and system | |
| CN106772219A (en) | Indoor orientation method based on CSI signals | |
| CN107944199A (en) | A kind of gearbox fault recognition methods based on spectral trends and variation mode decomposition | |
| CN102028457A (en) | Pulse rate measuring method and ring type pulse rate measuring meter | |
| CN104202101B (en) | A kind of shortwave/ultrashort wave instant dynamic spectrum detecting system and method | |
| CN101494508A (en) | Frequency spectrum detection method based on characteristic cyclic frequency | |
| CN103829944B (en) | Based on the thoracic impedance signal processing method of pattern recognition | |
| Jaswal et al. | QRS detection using wavelet transform | |
| CN109009087B (en) | Rapid detection method for electrocardiosignal R wave | |
| CN106725415A (en) | Method and device for processing electrophysiological signals | |
| CN107036916A (en) | A kind of Intelligent sports equipment shock-testing control system | |
| CN111142668B (en) | Interaction method based on Wi-Fi fingerprint positioning and activity gesture joint recognition | |
| CN110944336B (en) | Time spectrum sensing method based on limited new information rate | |
| CN109512405A (en) | A kind of pulse signal dividing method based on partial points detection | |
| CN108939220A (en) | A kind of multifunctional cryptorrheic disease located injection means | |
| CN104181508B (en) | Threatening radar signal detection method based on compressed sensing | |
| CN106805943B (en) | Blood glucose level data processing method and processing device based on Fractional Differential Equation | |
| CN110327031A (en) | A method of removal electrocardiosignal motion artifacts |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181207 |