CN115227207A - Data acquisition method for traditional Chinese medicine five-Tibetan intelligent wearable equipment - Google Patents
Data acquisition method for traditional Chinese medicine five-Tibetan intelligent wearable equipment Download PDFInfo
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The invention provides a data acquisition method of traditional Chinese medicine five-Tibetan intelligent wearable equipment, which comprises the following steps: the method comprises the following steps that firstly, human body data are collected by using intelligent wearable equipment with a photoelectric volume pulse wave sensor and a three-axis acceleration sensor; secondly, preprocessing the collected original sensing data to remove noise; and step three, respectively extracting pulse characteristics, gait characteristics and blood oxygen values, and uploading the extracted characteristic data to a server. The data acquisition method provided by the invention is combined with intelligent wearing equipment with a photoelectric volume pulse wave sensor and a three-axis acceleration sensor, can continuously and uninterruptedly acquire each pulse characteristic, blood oxygen and each gait characteristic data of a human body, can extract effective characteristics by combining with the traditional Chinese medicine theory, realizes the automation of traditional Chinese medicine characteristic data acquisition, and provides equipment and a data base for the traditional Chinese medicine to be sick.
Description
Technical Field
The invention belongs to the technical field of data acquisition, and particularly relates to a data acquisition method of traditional Chinese medicine five-Tibetan intelligent wearable equipment.
Background
Along with the development of modern science and technology and the improvement of the living standard of Chinese people, the attention degree of Chinese people to health is higher and higher, the conventional hospital physical examination can only detect the sick state, and the detection equipment of the hospital is generally larger in size, expensive in price, complicated to operate and use, inconvenient to use for a long time, and is not suitable for being purchased and used by families and individuals. Wearable main integrated acceleration sensor, gyroscope, photoplethysmography sensor on the existing market regularly detect many items characteristic index such as people's blood oxygen, heart rate, meter step number, sleep, realize detecting human health status through judging abnormal conditions. The characteristic indexes detected by the intelligent equipment are discrete and cannot be continuously detected, and meanwhile, a plurality of valuable characteristic indexes are lost, so that only abnormal conditions of diseases can be detected, and the state of the Chinese medicine without diseases cannot be concerned.
According to the traditional Chinese medicine Tibetan theory, the heart has the physiological functions of governing blood and pulse and tranquilizing, the lung has the physiological functions of governing breath, regulating water passage and assisting heart and blood circulation, the spleen has the physiological functions of governing transportation and transformation, governing blood and governing four limbs, the liver has the physiological functions of governing catharsis and storing blood, and the kidney has the physiological functions of governing essence storage, water storage and qi absorption. Pulse characteristic data collected in the five-treasure intelligent wearable device in the traditional Chinese medicine is related to physiological functions related to blood vessels of heart governing, blood stored in liver and blood assisting the heart to circulate blood of lung, pulse characteristic data collected continuously for 24 hours in the five-treasure intelligent wearable device in the traditional Chinese medicine is related to functions of heart governing the mind, liver governing smoothing and kidney governing essence storage, blood oxygen data collected continuously for 24 hours in the five-treasure intelligent wearable device is related to main qi intake functions of lung and kidney, gait data collected continuously for 24 hours in the five-treasure intelligent wearable device can be related to physiological functions of spleen governing four limbs, and the functional states of five-treasure can be reflected by collecting the data.
Therefore, in view of the above, a data acquisition method for a traditional Chinese medicine five-Tibetan intelligent wearable device is provided, so as to achieve the purpose of higher practical value.
Disclosure of Invention
In order to solve the technical problems, the invention provides a data acquisition method for a traditional Chinese medicine five-treasure intelligent wearable device, which is achieved by the following specific technical means:
a data acquisition method for a traditional Chinese medicine five-Tibetan intelligent wearable device comprises the following steps:
the method comprises the following steps that firstly, human body data are collected by using intelligent wearable equipment with a photoelectric volume pulse wave sensor and a three-axis acceleration sensor;
secondly, preprocessing the collected original sensing data to remove noise;
and step three, respectively extracting pulse characteristics, gait characteristics and blood oxygen values, and uploading the extracted characteristic data to a server.
Further, the specific process of extracting the blood oxygen value in the third step is as follows:
simultaneously collecting red light lambda at a sampling frequency of at least 25Hz r And infrared light lambda ir The photoelectric volume pulse signals are respectively calculated by a band-pass filter from 0.5Hz to 4Hz according to the corresponding direct current components of the red light of each pulse wave
And an alternating current component
Green light corresponding to DC component
And an alternating current component
The R is calculated out, and the R is calculated,
specifically, the blood oxygen value SpO is calculated according to the following calibration formula 2 ：
SpO 2 ＝a-bR，
Where a has an empirical value of 110 and b has an empirical value of 25.
Further, the specific process of extracting the pulse feature data in the third step is as follows:
collecting green photoplethysmography data at a sampling frequency of 100Hz or above, preprocessing the data through a band-pass filter of 0.5Hz to 4Hz, and only retaining useful physiological characteristic data;
the sampling data between the two wave troughs is taken as a pulse SPPG, the index position hi of the maximum value in the SPPG is found, and the pulse basic characteristics required by the traditional Chinese medicine Wucang report are extracted, wherein the pulse basic characteristics comprise the systolic time St of the pulse, the pulse period Vt, the height H of the pulse wave peak, the left area S1 of the pulse wave peak and the right area S2 of the pulse wave peak.
Further, the calculation formula of the needed pulse basic characteristics is as follows:
SPPG＝PPG(V(i)：V(i+1))；
St＝(1000×hi)/Fs；
Vt＝(len(SPPG)×1000)/Fs；
H＝SPPG(hi)；
further, the specific flow of extracting the gait feature data in the third step is as follows:
collecting three-axis data at a sampling frequency of 25Hz and above, and preprocessing the data by a band-pass filter of 0.75Hz to 1.25Hz respectively for each axis data, and filtering out noise and a base line;
setting the direction of the movable shaft as the y-axis direction, and integrating the movable shaft once to obtain the speed Vy, vy (x) = y (x) dx;
and extracting gait basic characteristics required by the traditional Chinese medicine Wuzang report according to the gait waveform data identified by the activity axis, wherein the gait basic characteristics comprise the duration Span of each gait, the average resultant acceleration Svm, the moving distance Xdis in the X-axis direction, the moving distance Ydis in the Y-axis direction and the moving distance Zdis in the Z-axis direction.
Further, the calculation formula of the needed gait basic characteristics is as follows:
Span＝(1000*len(V(i)：V(i+1)))/Fs；
wherein i is the index of the trough data set, g is the gravity acceleration, a is the value represented by one g of the triaxial sensor, and t is 1/Fs second.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention utilizes a photoplethysmography pulse wave sensor on the traditional Chinese medicine five-Tibetan intelligent wearable device to send and receive reflected light waves through specified frequency, collect and obtain PPG pulse signal data of a human body after electric signal conversion, and obtain PPG pulse signals by irradiating red light, infrared light and green light of the PPG signals; the acceleration data in three directions are collected through the appointed frequency by utilizing a three-axis acceleration sensor on the traditional Chinese medicine five-Tibetan intelligent wearable device.
2. The data acquisition method provided by the invention is combined with intelligent wearing equipment with a photoelectric volume pulse wave sensor and a three-axis acceleration sensor, can continuously and uninterruptedly acquire each pulse characteristic, blood oxygen and each gait characteristic data of a human body, can extract effective characteristics by combining with the traditional Chinese medicine theory, realizes the automation of traditional Chinese medicine characteristic data acquisition, and provides equipment and a data base for the traditional Chinese medicine to be sick.
Drawings
FIG. 1 is a schematic overall flow diagram of the present invention.
FIG. 2 is a flow chart illustrating the process of acquiring pulse characteristic data according to the present invention.
Fig. 3 is a flow chart of gait data acquisition according to the invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
The embodiment is as follows:
as shown in fig. 1, the invention provides a data acquisition method for a traditional Chinese medicine five-Tibetan intelligent wearable device, which comprises the following steps:
the method comprises the following steps that firstly, human body data are collected by using intelligent wearable equipment with a photoelectric volume pulse wave sensor and a three-axis acceleration sensor;
secondly, preprocessing the collected original sensing data to remove noise;
and step three, respectively extracting the pulse characteristic, the gait characteristic and the blood oxygen value, and uploading the extracted characteristic data to a server.
The specific process for extracting the blood oxygen value is as follows:
simultaneously collecting red light lambda at a sampling frequency of at least 25Hz r And infrared light lambda ir The photoelectric volume pulse signals are respectively calculated by a band-pass filter from 0.5Hz to 4Hz according to the corresponding direct current components of the red light of each pulse wave
And an alternating current component
Green light corresponding to DC component
And an alternating current component
The R is calculated out, and the R is calculated,
specifically, the blood oxygen value SpO is calculated according to the following calibration formula 2 ：
SpO 2 ＝a-bR，
Where a has an empirical value of 110 and b has an empirical value of 25.
The specific process for extracting the pulse characteristic data comprises the following steps:
as shown in fig. 2, collecting green photoplethysmography data at a sampling frequency of 100Hz (Fs) or higher, preprocessing the data by a 0.5Hz to 4Hz band-pass filter, and only retaining useful physiological characteristic data;
the sampling data between two wave troughs is taken as a pulse SPPG, the index position hi of the maximum value in the SPPG is found out, the pulse basic characteristics required by the traditional Chinese medicine Wucang report are extracted, the pulse basic characteristics comprise the systolic time St of the pulse, the pulse period Vt, the height H of the pulse peak, the left area S1 of the pulse peak and the right area S2 of the pulse peak, and the required calculation formula of the pulse basic characteristics is as follows:
SPPG＝PPG(V(i)：V(i+1))；
St＝(1000×hi)/Fs；
Vt＝(leh(SPPG)×1000)/Fs；
H＝SPPG(hi)；
the specific process for extracting the gait feature data is as follows:
as shown in fig. 3, three-axis data (x, y, z) are collected at 25Hz (Fs) and above, and each axis data is preprocessed by a band-pass filter of 0.75Hz to 1.25Hz, respectively, to filter out noise and baseline;
the direction of a movable shaft is made to be the y-axis direction, the movable shaft refers to the shaft which is consistent with the advancing direction of a user when the traditional Chinese medicine Wuzang intelligent wearing equipment is worn correctly, and the movable shaft is subjected to primary integration to obtain the speed Vy, vy (x) =: (x) dx;
extracting basic gait features required by the traditional Chinese medicine Wuzang report according to gait waveform data identified by the activity axis, wherein the basic gait features comprise duration Span of each gait, average resultant acceleration Svm, moving distance Xdis in the X-axis direction, moving distance Ydis in the Y-axis direction and moving distance Zdis in the Z-axis direction, and a calculation formula of the required basic gait features is as follows:
Span＝(1000*len(V(i)：V(i+1)))/Fs；
wherein i is the index of the trough data set, g is the gravity acceleration, a is the value represented by one g of the triaxial sensor, and t is 1/Fs second.
The specific use mode and function of the embodiment are as follows:
the data acquisition method provided by the invention is combined with intelligent wearing equipment with a photoelectric volume pulse wave sensor and a three-axis acceleration sensor, can continuously and uninterruptedly acquire each pulse characteristic, blood oxygen and each gait characteristic data of a human body, can extract effective characteristics by combining with the traditional Chinese medicine theory, realizes the automation of traditional Chinese medicine characteristic data acquisition, and provides equipment and a data base for the traditional Chinese medicine to be sick.
The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (6)
1. A traditional Chinese medicine five-Tibetan intelligent wearable device data acquisition method is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps that firstly, human body data are collected by using intelligent wearable equipment with a photoelectric volume pulse wave sensor and a three-axis acceleration sensor;
secondly, preprocessing the collected original sensing data to remove noise;
and step three, respectively extracting pulse characteristics, gait characteristics and blood oxygen values, and uploading the extracted characteristic data to a server.
2. The data acquisition method for the traditional Chinese medicine Wuzang intelligent wearable device as claimed in claim 1, wherein the data acquisition method comprises the following steps: the specific process for extracting the blood oxygen value in the third step is as follows:
at least at a sampling frequency of 25Hz, while collecting red light lambda r And infrared light lambda ir The photoelectric volume pulse signals are respectively calculated by a band-pass filter from 0.5Hz to 4Hz according to the corresponding direct current components of the red light of each pulse wave
And an alternating current component
Green light corresponding to DC component
And an alternating current component
The R is calculated out, and the R is calculated,
specifically, the blood oxygen value SpO is calculated according to the following calibration formula 2 ：
SpO 2 ＝a-bR，
Where a has an empirical value of 110 and b has an empirical value of 25.
3. The data acquisition method for the traditional Chinese medicine Wuzang intelligent wearable device as claimed in claim 1, wherein the data acquisition method comprises the following steps: the specific process of extracting the pulse characteristic data in the third step is as follows:
collecting green photoplethysmography data at a sampling frequency of 100Hz or above, preprocessing the data through a band-pass filter of 0.5Hz to 4Hz, and only retaining useful physiological characteristic data;
the sampling data between the two wave troughs is taken as a pulse SPPG, the index position hi of the maximum value in the SPPG is found, and the pulse basic characteristics required by the traditional Chinese medicine Wucang report are extracted, wherein the pulse basic characteristics comprise the systolic time St of the pulse, the pulse period Vt, the height H of the pulse wave peak, the left area S1 of the pulse wave peak and the right area S2 of the pulse wave peak.
4. The data acquisition method for the traditional Chinese medicine Wuzang intelligent wearable device as claimed in claim 3, wherein the data acquisition method comprises the following steps: the calculation formula of the required pulse basic characteristics is as follows:
SPPG＝PPG(V(i)：V(i+1))；
St＝(1000×hi)/Fs；
Vt＝(len(SPPG)×1000)/Fs；
H＝SPPG(hi)；
5. the data acquisition method for the traditional Chinese medicine Wuzang intelligent wearable device as claimed in claim 1, wherein the data acquisition method comprises the following steps: the specific flow of extracting the gait feature data in the third step is as follows:
collecting three-axis data at a sampling frequency of 25Hz and above, and preprocessing the data by a band-pass filter of 0.75Hz to 1.25Hz respectively to filter out noise and a base line;
taking the direction of the movable shaft as the direction of the y axis, and integrating the movable shaft once to obtain the speed Vy, vy (x) =: (x) dx;
and extracting basic gait features required by the Chinese medicine Wuzang report according to the gait waveform data identified by the movable axes, wherein the basic gait features comprise the duration Span of each gait, the average resultant acceleration Svm, the moving distance Xdis in the X-axis direction, the moving distance Ydis in the Y-axis direction and the moving distance Zdis in the Z-axis direction.
6. The data acquisition method for the traditional Chinese medicine Wuzang intelligent wearable device as claimed in claim 5, wherein the data acquisition method comprises the following steps: the calculation formula of the needed gait basic characteristics is as follows:
Span＝(1000*len(V(i)：V(i+1)))/Fs；
wherein i is the index of the trough data set, g is the gravity acceleration, a is the value represented by one g of the triaxial sensor, and t is 1/Fs second.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015070634A1 (en) * | 2013-11-15 | 2015-05-21 | 吴一兵 | Life maintenance mode, brain inhibition method and personal health information platform |
| EP2957224A1 (en) * | 2014-06-17 | 2015-12-23 | Riccardo Furlanetto | Portable diagnostic system for monitoring biomedical parameters |
| CN107411727A (en) * | 2017-05-17 | 2017-12-01 | 上海理工大学 | Pulse condition formula healthy bracelet |
| CN208259692U (en) * | 2017-09-04 | 2018-12-21 | 东北大学 | Human body physiological state detection intelligent helmet and system based on Multi-sensor Fusion |
| CN113925491A (en) * | 2020-06-29 | 2022-01-14 | 深圳辉煌耀强科技有限公司 | Sign detection method for bracelet and sign detection bracelet |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015070634A1 (en) * | 2013-11-15 | 2015-05-21 | 吴一兵 | Life maintenance mode, brain inhibition method and personal health information platform |
| EP2957224A1 (en) * | 2014-06-17 | 2015-12-23 | Riccardo Furlanetto | Portable diagnostic system for monitoring biomedical parameters |
| CN107411727A (en) * | 2017-05-17 | 2017-12-01 | 上海理工大学 | Pulse condition formula healthy bracelet |
| CN208259692U (en) * | 2017-09-04 | 2018-12-21 | 东北大学 | Human body physiological state detection intelligent helmet and system based on Multi-sensor Fusion |
| CN113925491A (en) * | 2020-06-29 | 2022-01-14 | 深圳辉煌耀强科技有限公司 | Sign detection method for bracelet and sign detection bracelet |
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Effective date of registration: 20231017 Address after: 518000 Skyworth Building A1205, No. 008, Gaoxin South 1st Road, High tech Zone Community, Yuehai Street, Nanshan District, Shenzhen, Guangdong Applicant after: Shenzhen Yujia Biotechnology Co.,Ltd. Address before: 518000 Skyworth Building A1205, No. 008, Gaoxin South 1st Road, High tech Zone Community, Yuehai Street, Nanshan District, Shenzhen, Guangdong Applicant before: SHENZHEN LINGMENG TECHNOLOGY Co.,Ltd. |
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Effective date of registration: 20240712 Address after: A715, TCL Building, No. 006 Gaoxin South 1st Road, High tech Zone Community, Yuehai Street, Shenzhen City, Guangdong Province 518000 Applicant after: Taiji Health (Shenzhen) Co.,Ltd. Country or region after: China Address before: 518000 Skyworth Building A1205, No. 008, Gaoxin South 1st Road, High tech Zone Community, Yuehai Street, Nanshan District, Shenzhen, Guangdong Applicant before: Shenzhen Yujia Biotechnology Co.,Ltd. Country or region before: China |
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Application publication date: 20221025 |