CN113633887A - Biostimulation feedback system based on filtering algorithm - Google Patents
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Abstract
The invention discloses a biostimulation feedback system based on a filtering algorithm, which relates to the technical field of biostimulation feedback and aims to solve the problem that the integrally obtained data is not accurate enough, so that a treatment scheme obtained integrally according to parameters possibly causes adverse effects on a patient and the overall treatment effect is reduced. The effects of high precision, historical information comparison calculation and various types of filtering are achieved.
Description
Technical Field
The invention relates to the technical field of biostimulation feedback, in particular to a biostimulation feedback system based on a filtering algorithm.
Background
The biofeedback is to use the precise special tool to explore and amplify various information produced in the inherent physiological change process of human body, and convert the information into the signal or reading easy to be understood by the patient through the display system, and train under the guidance of the medical staff, so that the patient learns to utilize the signal sent from the patient to control the physiological and pathological processes in the body consciously, and promote the functional recovery, thereby achieving the purpose of treating diseases.
As in a biostimulation feedback treatment method, system and computer device with publication number CN107875510A, it is proposed to acquire treatment information at a terminal; performing data training on the treatment information to obtain treatment parameters; and sending the treatment parameters to the terminal so that the terminal can control the biostimulation feedback device to treat the patient according to the treatment parameters.
The above prior art solutions have the following drawbacks: although the biostimulation feedback system can receive the electric signals transmitted from the body of the patient, the signals generated integrally are affected by interference waves in the environment in the overall receiving process, so that the integrally obtained data are not accurate enough, and the overall treatment scheme obtained according to the parameters possibly has adverse effects on the patient, so that the overall treatment effect is reduced.
Disclosure of Invention
The invention aims to provide a high-precision biological stimulation feedback system based on a filtering algorithm, which can carry out interference item combination calculation on obtained data.
In order to achieve the purpose, the invention provides the following technical scheme:
a biostimulation feedback system based on a filtering algorithm comprises a main control system, wherein the main control system internally comprises a stimulation module, an electric signal receiving module, an information processing module, a filtering algorithm module, a signal sending module, a treatment module and a control terminal.
Through adopting above-mentioned technical scheme, set up the interference signal that filtering algorithm module produced in to the environment and collect to conveniently calculate interference signal's concrete numerical value, and substitute the calculation to interference numerical value, guarantee that whole numerical value that reachs is close actual numerical value more, guarantee whole good detection and treatment.
Furthermore, the stimulation module comprises a stimulation signal emitting unit inside, and the stimulation signal emitting unit is an electrode rod capable of emitting a stimulation electrode to a human body.
Through adopting above-mentioned technical scheme, amazing to the human body to guarantee that the human body can respond to according to amazing, and introduce into control terminal through the mode of signal of telecommunication, control terminal can handle the signal of telecommunication of gained, guarantees that whole can carry out abundant treatment according to patient's the condition.
Furthermore, the electric signal receiving module comprises a skin signal collecting unit and a muscle signal collecting unit inside, and the skin signal collecting unit and the muscle signal collecting unit are provided with patches capable of collecting human body electric signals.
Through adopting above-mentioned technical scheme, go on under the stimulation of two kinds of signals of skin signal and muscle signal to the patient, guarantee wholly can carry out abundant collection to the biological filter of difference to guarantee wholly more easily to look for the interference wave, guarantee whole detection effect and final treatment.
Furthermore, the information processing module comprises an information comparison unit, a stimulation signal parameter calculation unit and a skin muscle parameter calculation unit.
Through adopting above-mentioned technical scheme, use information contrast unit, stimulation signal parameter calculation unit and skin muscle parameter calculation unit can contrast the information of record in the past, guarantee wholly can contrast according to historical information, if there is not historical information can adjust stimulation signal's size, guarantee whole sample many times to make things convenient for wholly to serve filtering algorithm, the error that whole detection produced has been reduced, the convenience carries out abundant detection to anomalous interference wave simultaneously, make things convenient for wholly to detect.
Further, the filtering algorithm module includes a first algorithm unit and a second algorithm unit therein, and the first algorithm unit includes the steps of:
a1: recording the numerical values generated by multiple times of stimulation, taking the intermediate value as an effective value, and if the intermediate value is two groups, adding the two groups of data and dividing by two to obtain an average value
；
A2: comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for many times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, and recording the average value;
a3: and substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result of the calculation with the interference item.
By adopting the technical scheme, the first filtering algorithm detects and calculates the numerical value of the relatively stable and constant interference wave, so that the whole filtering of the fixedly generated interference wave can be ensured, the whole filtering is not influenced by the normal and regular interference waveform, and the whole good filtering effect is ensured.
Further, the second algorithm unit comprises the steps of:
b1 recording the values generated by multiple stimulations, adding all obtained data and dividing the number of values to obtain an average value
；
B2, comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for many times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, and recording the average value;
b3: and substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result of the calculation with the interference item.
By adopting the technical scheme, the second filtering algorithm can fully detect the irregular interference wave, and is convenient to detect the suddenly generated interference item, so that the overall good filtering effect is ensured, the influence of the irregular interference wave on the overall detection result is prevented, and the overall detection and filtering detection effect is ensured.
Further, the first algorithm unit and the second algorithm unit are connected in series with each other.
By adopting the technical scheme, the interference waves calculated by the first algorithm unit and the second algorithm unit can be used for fully detecting and calculating stable waveforms and unstable waveforms, so that the detection and calculation of different types of interference items are integrally guaranteed, and the integral good calculation effect is guaranteed.
Furthermore, the signal sending module comprises a data receiving unit, a data regulating unit and an electrode control unit inside, and the data receiving unit, the data regulating unit and the electrode control unit are electrically connected with the control terminal.
By adopting the technical scheme, the integrally calculated data are recorded and received, so that the electrode control unit can be conveniently controlled by the data regulating and controlling unit, the integrally generated electrode is ensured to be the optimal value calculated by the filtering algorithm, and the integral treatment electrode is ensured to be the treatment electrode most suitable for the physical condition of a patient.
Furthermore, the treatment module comprises a treatment signal sending unit inside, and the treatment signal sending unit is a treatment electrode rod capable of sending a treatment electrode.
By adopting the technical scheme, the treatment signal sending unit can send the integrally adjusted treatment numerical value in an electrode mode, so that the integral good treatment effect is ensured, and the integral practicability is increased.
Furthermore, the control terminal is electrically connected with the information comparison unit, the stimulation signal parameter calculation unit and the skin muscle parameter calculation unit.
By adopting the technical scheme, the data calculated by the information comparison unit, the stimulation signal parameter calculation unit and the skin muscle parameter calculation unit are controlled and calculated through the control terminal, so that the overall good treatment effect is ensured, and the overall practicability is increased.
In conclusion, the beneficial technical effects of the invention are as follows:
1. by adopting the filtering algorithm system and the control terminal, the interference waves generated in the whole calculation process can be conveniently calculated, the influence of the interference waves on the outer side on the whole calculation effect can be prevented, and the high-precision effect can be generated;
2. the first algorithm unit and the second algorithm unit are adopted to fully detect different types of interference waves, so that the overall good detection effect is ensured, and various filtering effects are generated;
3. the control terminal and the information comparison unit are adopted, so that the previous information of the patient can be conveniently collected, and the effect of comparing and calculating the historical information is generated.
Drawings
Fig. 1 is a schematic diagram of the overall structure of the master control system of the present invention.
In the figure, 1, a master control system; 2. a stimulation module; 3. an electric signal receiving module; 4. an information processing module; 5. a filtering algorithm module; 6. a signal emitting module; 7. a therapy module; 8. a control terminal; 21. a stimulation signal emitting unit; 31. a skin signal collection unit; 32. a muscle signal collection unit; 41. an information comparison unit; 42. a stimulation signal parameter calculation unit; 43. a skin muscle parameter calculation unit; 51. a first algorithm unit; 52. a second algorithm unit; 61. a data receiving unit; 62. a data regulating unit; 63. an electrode control unit; 71. a therapeutic signal emitting unit.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, a biostimulation feedback system based on a filtering algorithm comprises a main control system 1, wherein the main control system 1 comprises a stimulation module 2, an electric signal receiving module 3, an information processing module 4, a filtering algorithm module 5, a signal sending module 6, a treatment module 7 and a control terminal 8. The stimulation module 2 includes a stimulation signal emitting unit 21 inside, the stimulation signal emitting unit 21 is an electrode rod capable of emitting stimulation electrodes generated to a human body, the electrical signal receiving module 3 includes a skin signal collecting unit 31 and a muscle signal collecting unit 32 inside, the skin signal collecting unit 31 and the muscle signal collecting unit 32 are patches capable of collecting human body electrical signals, the information processing module 4 includes an information comparing unit 41, a stimulation signal parameter calculating unit 42 and a skin muscle parameter calculating unit 43 inside, the filtering algorithm module 5 includes a first algorithm unit 51 and a second algorithm unit 52 inside, and the first algorithm unit 51 includes the steps of:
a1: recording the numerical values generated by multiple times of stimulation, taking the intermediate value as an effective value, and if the intermediate value is two groups, adding the two groups of data and dividing by two to obtain an average value
；
A2: comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for many times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, and recording the average value;
a3: and substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result of the calculation with the interference item.
The steps of the second algorithm unit 52 are:
b1 recording the values generated by multiple stimulations, adding all obtained data and dividing the number of values to obtain an average value
；
B2, comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for many times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, and recording the average value;
b3: and substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result of the calculation with the interference item.
The first algorithm unit 51 and the second algorithm unit 52 are connected in series, the signal emitting module 6 includes a data receiving unit 61, a data regulating unit 62 and an electrode control unit 63, the data receiving unit 61, the data regulating unit 62 and the electrode control unit 63 are electrically connected to the control terminal 8, the therapeutic module 7 includes a therapeutic signal emitting unit 71, and the therapeutic signal emitting unit 71 is a therapeutic electrode rod capable of emitting therapeutic electrodes.
Example one
The method comprises the following steps: firstly, a stimulation signal sending unit 21 in the stimulation module 2 is used for sending stimulation signals to a human body, and meanwhile, the stimulation signal sending unit 21 is an electrode rod capable of sending stimulation electrodes to the human body, so that the stimulation electrodes can be sent out integrally;
step two: in the using process, the skin signal collecting unit 31 and the muscle signal collecting unit 32 are attached to the skin and muscle positions which are easy to react on the human body through the patches in the skin signal collecting unit and the muscle signal collecting unit, so that the whole reaction is convenient to carry out;
step three: the collected information is processed and recorded by the information comparison unit 41, the stimulation signal parameter calculation unit 42 and the skin muscle parameter calculation unit 43, so that the comparison of historical data of a detected patient is facilitated, and the integral sampling is facilitated for multiple times by changing the stimulation signal output parameters in the integral, so that the optimal value is obtained, and the multiple data analysis is guaranteed;
step four: filtering and calculating the obtained numerical value, substituting the obtained numerical value into the first algorithm unit 51 and the second algorithm unit 52 for calculation through multiple sampling so as to obtain a stable interference wave numerical value and a special interference numerical value, specifically, recording the numerical value generated by multiple times of stimulation, taking an intermediate value as an effective value, and if the intermediate value is two groups, adding the two groups of data and dividing the two groups of data by two to obtain an average value
And recording the values generated by multiple stimulations, adding all the obtained data and dividing the number of values to obtain an average value
Comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for multiple times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, recording the average value, substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result with interference item calculation;
step five: the data obtained by the integration is processed by the data receiving unit 61, the data regulating unit 62 and the electrode control unit 63, and corresponding treatment electric waves are emitted, and sufficient treatment is carried out by the treatment signal emitting unit 71.
The treatment electric wave obtained according to the first embodiment is the treatment electric wave most suitable for the physical condition of the patient, stable and regular electric waves are filtered, irregular electric waves generated in the whole detection process are filtered, and the whole good detection effect and treatment effect are ensured;
example two
The method comprises the following steps: firstly, a stimulation signal sending unit 21 in the stimulation module 2 is used for sending stimulation signals to a human body, and meanwhile, the stimulation signal sending unit 21 is an electrode rod capable of sending stimulation electrodes to the human body, so that the stimulation electrodes can be sent out integrally;
step two: in the using process, the skin signal collecting unit 31 and the muscle signal collecting unit 32 are attached to the skin and muscle positions which are easy to react on the human body through the patches in the skin signal collecting unit and the muscle signal collecting unit, so that the whole reaction is convenient to carry out;
step three: the collected information is processed and recorded by the information comparison unit 41, the stimulation signal parameter calculation unit 42 and the skin muscle parameter calculation unit 43, so that the comparison of historical data of a detected patient is facilitated, and the integral sampling is facilitated for multiple times by changing the stimulation signal output parameters in the integral, so that the optimal value is obtained, and the multiple data analysis is guaranteed;
step four: filtering and calculating the obtained numerical value, substituting the obtained numerical value into the first algorithm unit 51 and the second algorithm unit 52 for calculation through multiple sampling so as to obtain a stable interference wave numerical value and a special interference numerical value, specifically, recording the numerical value generated by multiple times of stimulation, taking an intermediate value as an effective value, and if the intermediate value is two groups, adding the two groups of data and dividing the two groups of data by two to obtain an average value
Comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for multiple times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, recording the average value, substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result with interference item calculation;
step five: the data obtained by the integration is processed by the data receiving unit 61, the data regulating unit 62 and the electrode control unit 63, and corresponding treatment electric waves are emitted, and sufficient treatment is carried out by the treatment signal emitting unit 71.
The treatment electric wave obtained according to the second embodiment is a treatment electric wave which is more suitable for the physical condition of the patient, stable and regular electric waves are filtered, but irregular electric waves generated in the whole detection process cannot be filtered, and the whole treatment effect is reduced possibly due to a detection error in a certain time in the whole treatment process;
EXAMPLE III
The method comprises the following steps: firstly, a stimulation signal sending unit 21 in the stimulation module 2 is used for sending stimulation signals to a human body, and meanwhile, the stimulation signal sending unit 21 is an electrode rod capable of sending stimulation electrodes to the human body, so that the stimulation electrodes can be sent out integrally;
step two: in the using process, the skin signal collecting unit 31 and the muscle signal collecting unit 32 are attached to the skin and muscle positions which are easy to react on the human body through the patches in the skin signal collecting unit and the muscle signal collecting unit, so that the whole reaction is convenient to carry out;
step three: the collected information is processed and recorded by the information comparison unit 41, the stimulation signal parameter calculation unit 42 and the skin muscle parameter calculation unit 43, so that the comparison of historical data of a detected patient is facilitated, and the integral sampling is facilitated for multiple times by changing the stimulation signal output parameters in the integral, so that the optimal value is obtained, and the multiple data analysis is guaranteed;
step four: filtering and calculating the obtained numerical value, substituting the obtained numerical value into the first algorithm unit 51 and the second algorithm unit 52 for calculation through multiple sampling so as to obtain a stable interference wave numerical value and a special interference numerical value, recording the numerical values generated by multiple times of stimulation, adding all the obtained data, and dividing the number of the numerical values to obtain an average value
Comparing the obtained value with the normal value to obtain a filter output value, comparing the repeatedly obtained detection data with the standard data to obtain a deviation value, and comparing the deviation valueCalculating to obtain an average value, recording the average value, substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result of the calculation with the interference item;
step five: the data obtained by the integration is processed by the data receiving unit 61, the data regulating unit 62 and the electrode control unit 63, and corresponding treatment electric waves are emitted, and sufficient treatment is carried out by the treatment signal emitting unit 71.
The treatment electric wave obtained according to the first embodiment is a treatment electric wave which is relatively suitable for the physical condition of a patient, irregular electric waves generated in the whole detection process are filtered, but stable and constant interference waves interfere all the time, and the whole good detection effect and treatment effect cannot be guaranteed;
example four
The method comprises the following steps: firstly, a stimulation signal sending unit 21 in the stimulation module 2 is used for sending stimulation signals to a human body, and meanwhile, the stimulation signal sending unit 21 is an electrode rod capable of sending stimulation electrodes to the human body, so that the stimulation electrodes can be sent out integrally;
step two: in the using process, the skin signal collecting unit 31 and the muscle signal collecting unit 32 are attached to the skin and muscle positions which are easy to react on the human body through the patches in the skin signal collecting unit and the muscle signal collecting unit, so that the whole reaction is convenient to carry out;
step three: the collected information is processed and recorded by the information comparison unit 41, the stimulation signal parameter calculation unit 42 and the skin muscle parameter calculation unit 43, so that the comparison of historical data of a detected patient is facilitated, and the integral sampling is facilitated for multiple times by changing the stimulation signal output parameters in the integral, so that the optimal value is obtained, and the multiple data analysis is guaranteed;
step four: the data obtained by the integration is processed by the data receiving unit 61, the data regulating unit 62 and the electrode control unit 63, and corresponding treatment electric waves are emitted, and sufficient treatment is carried out by the treatment signal emitting unit 71.
The therapeutic radio waves obtained in the fourth embodiment have many interference items, and thus the therapist cannot obtain sufficient treatment, and the overall therapeutic effect is poor.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (10)
1. A biostimulation feedback system based on a filtering algorithm, comprising a master control system (1), characterized in that: the main control system (1) comprises a stimulation module (2), an electric signal receiving module (3), an information processing module (4), a filtering algorithm module (5), a signal sending module (6), a treatment module (7) and a control terminal (8).
2. A filtering algorithm based biostimulation feedback system according to claim 1, characterized in that: the stimulation module (2) is internally provided with a stimulation signal sending unit (21), and the stimulation signal sending unit (21) is an electrode rod capable of sending out stimulation electrodes generated to a human body.
3. A filtering algorithm based biostimulation feedback system according to claim 1, characterized in that: the electric signal receiving module (3) comprises a skin signal collecting unit (31) and a muscle signal collecting unit (32) inside, and the skin signal collecting unit (31) and the muscle signal collecting unit (32) are patches capable of collecting human body electric signals.
4. A filtering algorithm based biostimulation feedback system according to claim 1, characterized in that: the information processing module (4) comprises an information comparison unit (41), a stimulation signal parameter calculation unit (42) and a skin muscle parameter calculation unit (43) inside.
5. A filtering algorithm based biostimulation feedback system according to claim 1, characterized in that: the filtering algorithm module (5) comprises a first algorithm unit (51) and a second algorithm unit (52), and the first algorithm unit (51) comprises the following steps:
a1: recording the numerical values generated by multiple times of stimulation, taking the intermediate value as an effective value, and if the intermediate value is two groups, adding the two groups of data and dividing by two to obtain an average value
；
A2: comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for many times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, and recording the average value;
a3: and substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result of the calculation with the interference item.
6. A filtering algorithm based biostimulation feedback system according to claim 5, characterized in that: the steps of the second algorithm unit (52) are:
b1 recording the values generated by multiple stimulations, adding all obtained data and dividing the number of values to obtain an average value
；
B2, comparing the obtained numerical value with the normal numerical value to obtain a filtering output value, comparing the detection data obtained for many times with the standard data to obtain a deviation value, calculating the deviation value to obtain an average value, and recording the average value;
b3: and substituting the obtained filtering data into the whole calculation formula for calculation to obtain a final result of the calculation with the interference item.
7. A filtering algorithm based biostimulation feedback system according to claim 3, characterized in that: the first algorithm unit (51) and the second algorithm unit (52) are connected in series with each other.
8. A filtering algorithm based biostimulation feedback system according to claim 1, characterized in that: the signal sending module (6) comprises a data receiving unit (61), a data regulating and controlling unit (62) and an electrode control unit (63) inside, and the data receiving unit (61), the data regulating and controlling unit (62) and the electrode control unit (63) are electrically connected with the control terminal (8).
9. A filtering algorithm based biostimulation feedback system according to claim 1, characterized in that: the treatment module (7) comprises a treatment signal sending unit (71) inside, and the treatment signal sending unit (71) is a treatment electrode rod capable of sending a treatment electrode.
10. A filtering algorithm based biostimulation feedback system according to claim 1, characterized in that: the control terminal (8) is electrically connected with the information comparison unit (41), the stimulation signal parameter calculation unit (42) and the skin muscle parameter calculation unit (43).
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