CN113925474A - Non-sleeve type blood pressure monitoring system based on PWTT principle - Google Patents
Non-sleeve type blood pressure monitoring system based on PWTT principle Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 64
- 230000036772 blood pressure Effects 0.000 title claims abstract description 29
- 238000012806 monitoring device Methods 0.000 claims abstract description 54
- 230000036760 body temperature Effects 0.000 claims abstract description 48
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 31
- 239000008280 blood Substances 0.000 claims abstract description 31
- 210000004369 blood Anatomy 0.000 claims abstract description 31
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 31
- 239000001301 oxygen Substances 0.000 claims abstract description 31
- 230000004872 arterial blood pressure Effects 0.000 claims abstract description 14
- 210000000707 wrist Anatomy 0.000 claims abstract description 11
- 230000001360 synchronised effect Effects 0.000 claims description 28
- 239000000523 sample Substances 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000035945 sensitivity Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 210000001367 artery Anatomy 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 230000017531 blood circulation Effects 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000035772 mutation Effects 0.000 description 2
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 108010064719 Oxyhemoglobins Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 208000026106 cerebrovascular disease Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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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
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- 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
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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Abstract
The invention discloses a cuff-free blood pressure monitoring system based on a PWTT principle, which is characterized by comprising a patch type electrocardio monitoring device, a wristwatch type physiological parameter monitoring device and a cloud server, wherein the wristwatch type physiological parameter monitoring device simultaneously monitors electrocardio, wrist body temperature and blood oxygen volume wave parameters, the patch type electrocardio monitoring device acquires chest body temperature, the cloud server carries out calibration analysis on acquired data to acquire a central arterial pressure value, a blood oxygen saturation value, a body temperature value and a heart rate value, and the values acquired by the cloud server are transmitted to the wristwatch type physiological parameter monitoring device for display. The invention has high monitoring precision, small error, no need of a cuff, convenient carrying, and capability of uninterruptedly monitoring central arterial pressure, blood oxygen saturation, body temperature, electrocardio and heart rate data for 24 hours, and is suitable for being used for uninterruptedly monitoring physiological parameters in families or hospitals.
Description
Technical Field
The invention relates to the field of blood pressure monitoring, and particularly belongs to a cuff-free blood pressure monitoring system based on a PWTT principle.
Background
Blood pressure is commonly referred to as arterial blood pressure. The medicine shows that the change of blood pressure has direct relation with cardiovascular and cerebrovascular diseases. The blood pressure monitoring device commonly used at present is mainly a Holter blood pressure meter. The Holter blood pressure monitor has the following defects when continuously monitoring the patient for 24 hours: 1. when the Holter sphygmomanometer is used for monitoring blood pressure, a cuff is required to be used for compressing an artery, and rest of a patient is influenced to a great extent when the Holter sphygmomanometer is used; 2. the cuff is used for compressing the artery, so that the compression part is red and swollen after a long time, and the blood circulation is influenced; 3. since the cuff pressure is gradually reduced with the change of the time when the cuff is used, the monitoring data gradually increases in error and gradually decreases in accuracy with the increase of the time when the cuff is continuously used for 24 hours.
Although blood pressure data can be accurately obtained by adopting the principle of the PWTT, the calibration of the start-stop position of the PWTT is difficult, especially when the blood pressure data is obtained at the end point. The PWTT principle needs to calibrate a starting point at an electrocardio R wave position and calibrate an ending point at 20% of a pulse wave rising section, and the section of the calibrated starting point and the calibrated ending point is a PWTT section.
In order to solve the problems, the invention provides a cuff-less blood pressure monitoring device based on the PWTT principle.
Disclosure of Invention
The invention aims to provide sleeve-free blood pressure monitoring equipment based on the PWTT principle, which solves the problems mentioned in the technical background, has high monitoring precision, small error, no need of a sleeve belt, convenient carrying and capability of continuously monitoring central arterial pressure, blood oxygen saturation, body temperature, electrocardio and heart rate data for 24 hours, and is suitable for being used for continuously monitoring physiological parameters in families or hospitals.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a sleeveless blood pressure monitoring system based on a PWTT principle is characterized by comprising a patch type electrocardio monitoring device, a wristwatch type physiological parameter monitoring device and a cloud server, wherein the wristwatch type physiological parameter monitoring device simultaneously monitors electrocardio, body temperature and blood oxygen volume wave parameters, the wristwatch type physiological parameter monitoring device comprises a synchronous monitoring host, a reflective photoelectric sensor, a body temperature probe a, an electrocardioelectrode a, a display and a wristwatch, the reflective photoelectric sensor and the body temperature probe a are positioned below the synchronous monitoring host, the electrocardioelectrode a and the display are positioned on the front side of the wristwatch, the patch type electrocardio monitoring device comprises an electrocardio monitoring host, an electrocardioelectrode b, a body temperature probe b and a shell, the patch type electrocardio monitoring device is attached to the chest of a human body, the cloud server carries a PWTT blood pressure calculation method, and the synchronous monitoring host carries the PWTT blood pressure calculation method through the reflective photoelectric sensor, The body temperature probe a and the electrocardio electrode a acquire blood oxygen volume wave data, wrist body temperature data and electrocardio data a, the electrocardio monitoring host acquires electrocardio data b and chest body temperature data through an electrocardio electrode b and a body temperature probe b, the electrocardio monitoring host transmits the data to the synchronous monitoring host through Bluetooth after acquiring the data, blood oxygen volume wave data, wrist body temperature data, electrocardio data a, electrocardio data b, chest body temperature data are uploaded to the cloud server simultaneously by the synchronous monitoring host, the cloud server calibrates and analyzes received data to obtain central arterial pressure (BP) numerical value, heart rate numerical value, body temperature numerical value (T) and blood oxygen saturation numerical value, the cloud server transmits the calibrated and analyzed numerical value to the synchronous monitoring host, the synchronous monitoring host displays the numerical value through a display, and the calibrated and analyzed numerical value in the cloud server can be checked on line.
Preferably, the synchronous monitoring host and the electrocardio monitoring host both comprise a synchronization module, the two synchronization modules are synchronized in a Bluetooth mode, and the synchronization error value is less than 50 microseconds per hour.
Preferably, each wristwatch type physiological parameter monitoring device can be connected with 1-30 patch type electrocardiogram monitoring devices or wristwatch type physiological parameter monitoring devices through a wireless network (Bluetooth, 4G or WiFi).
Preferably, the wristwatch type physiological parameter monitoring devices can mutually transmit data through a wireless network (Bluetooth, 4G or WiFi).
Preferably, the patch type electrocardiogram monitoring device and the wristwatch type physiological parameter monitoring device are used for monitoring continuously and uploading data to the cloud server every 5s +/-0.01 s.
Preferably, the PWTT algorithm in the cloud server calculates the blood pressure data as follows: a. the cloud server receives electrocardiogram data and blood oxygen volume wave data monitored by a patch type electrocardiogram monitoring device and a wristwatch type physiological parameter monitoring device, B, a PWTT starting calibration position is obtained at an R wave position in the electrocardiogram data a or the electrocardiogram data B, c, a PWTT ending calibration position is obtained in the blood oxygen volume wave data, d, the obtained PWTT starting calibration position and the obtained PWTT ending calibration position are subjected to difference calculation to obtain a pulse wave delay value (delta T) e of the PWTT, and a central arterial pressure is obtained according to a formula Bp which is A + B delta T, wherein Bp is central arterial pressure, A, B is a constant, and delta T is the pulse wave delay value.
Preferably, when obtaining PWTT end calibration position in blood oxygen volume wave data, a moving kinetic energy mutation calibration algorithm [ a × T × Xn (Xn-m) × (Xn + m-Xn) ] based on biological features is performed, where a is sensitivity coefficient, T is body temperature data (equal to (wrist body temperature data + chest body temperature data)/2 at normal temperature), Xn is actually measured pulse wave data sequence (obtaining pulse wave while obtaining blood oxygen volume wave), n is serial number, and m is coefficient of biological self elastic scale.
Compared with the prior art, the invention has the following beneficial effects:
through carrying out preferred design combination to high in the clouds server, SMD electrocardio monitoring devices and wristwatch formula physiological parameter monitoring devices, become a sleeveless belt blood pressure monitoring equipment based on PWTT principle, replace the Holter sphygmomanometer, and need not to use the sleeve area, solve the Holter sphygmomanometer and carry out 24 hours incessant monitoring to patient and time measuring and have following drawback: 1. when the Holter sphygmomanometer is used for monitoring blood pressure, a cuff is required to be used for compressing an artery, and rest of a patient is influenced to a great extent when the Holter sphygmomanometer is used; 2. the cuff is used for compressing the artery, so that the compression part is red and swollen after a long time, and the blood circulation is influenced; 3. since the cuff pressure is gradually reduced with the change of the time when the cuff is used, the monitoring data gradually increases in error and gradually decreases in accuracy with the increase of the time when the cuff is continuously used for 24 hours. In addition, a mobile kinetic energy sudden change calibration algorithm based on biological characteristics is used for accurately acquiring the terminal position of PWTT calibration. The invention has high monitoring precision, small error, no need of a cuff, convenient carrying, and capability of uninterruptedly monitoring central arterial pressure, blood oxygen saturation, body temperature, electrocardio and heart rate data for 24 hours, and is suitable for being used for uninterruptedly monitoring physiological parameters in families or hospitals.
Drawings
FIG. 1 is a diagram: the invention has a schematic structure;
FIG. 2 is a diagram of: the structure schematic diagram of the wristwatch type physiological parameter monitoring device;
FIG. 3 is a diagram of: PWTT calibration schematic diagram;
FIG. 4 is a diagram of: blood oxygen volume wave map (A is an idealized map, and B is an actual map).
Corresponding parts are labeled in the figures: the device comprises a patch type electrocardio monitoring device (1), a wristwatch type physiological parameter monitoring device (2), a cloud server (3), a synchronous monitoring host (6), a reflective photoelectric sensor (7), a body temperature probe a (8), an electrocardioelectrode a (5), a display (4) and a wristwatch (9).
Detailed Description
The technical scheme of the invention is clearly described below with reference to the attached drawings, and the specific implementation manner of the invention is as follows with reference to the attached drawings:
referring to attached drawings 1-2, the sleeveless blood pressure monitoring system based on the PWTT principle is characterized by comprising a patch type electrocardio monitoring device (1), a wristwatch type physiological parameter monitoring device (2) and a cloud server (3), wherein the wristwatch type physiological parameter monitoring device (2) simultaneously monitors electrocardio, body temperature and blood oxygen volume wave parameters, the wristwatch type physiological parameter monitoring device (2) comprises a synchronous monitoring host (6), a reflective photoelectric sensor (7), a body temperature probe a (8), an electrocardio electrode a (5), a display (4) and a wristwatch (9), the reflective photoelectric sensor (7) and the body temperature probe a (8) are positioned below the synchronous monitoring host (6), the electrocardio electrode a (5) and the display (4) are positioned on the front side of the wristwatch (9), and the patch type blood pressure monitoring device (1) comprises the electrocardio monitoring host, the electrocardio electrode a (5) and the display (4), The patch type electrocardio monitoring device (1) is attached to the chest of a human body, the cloud server (3) is loaded with a PWTT blood pressure calculation method, the synchronous monitoring host (6) acquires blood oxygen volume wave data, wrist body temperature data and electrocardio data a through the reflection type photoelectric sensor (7), the body temperature probe a (8) and the electrocardio electrode a (5), the electrocardio monitoring host acquires the electrocardio data b and the chest body temperature data through the electrocardio electrode b and the body temperature probe b, the electrocardio monitoring host transmits the acquired data to the synchronous monitoring host (6) through Bluetooth, the synchronous monitoring host (6) simultaneously uploads the blood oxygen volume wave data, the wrist body temperature data, the electrocardio data a, the electrocardio data b and the chest body temperature data to the cloud server (3), and the cloud server (3) calibrates and analyzes the received data to obtain a central arterial pressure (BP) value, Heart rate numerical value, body temperature numerical value (T), oxyhemoglobin saturation numerical value, high in the clouds server (3) are transmitting calibration analysis's numerical value to synchronous monitoring host computer (6), and synchronous monitoring host computer (6) are showing numerical value through display (4), and calibration analysis's numerical value also can be looked over on line in high in the clouds server (3).
Preferably, the synchronous monitoring host (6) and the electrocardio monitoring host both comprise a synchronization module, the two synchronization modules are synchronized through a Bluetooth mode, and the synchronization error value is less than 50 microseconds per hour.
Preferably, each wristwatch type physiological parameter monitoring device (2) can be connected with 1-30 patch type electrocardio monitoring devices (1) or wristwatch type physiological parameter monitoring devices (2) through a wireless network (Bluetooth, 4G or WiFi).
Preferably, the wristwatch type physiological parameter monitoring devices (2) can mutually transmit data through a wireless network (Bluetooth, 4G or WiFi).
Preferably, the patch type electrocardio monitoring device (1) and the wristwatch type physiological parameter monitoring device (2) are used for monitoring continuously and uploading data to the cloud server (3) every 5s +/-0.01 s.
Referring to fig. 3: preferably, the PWTT algorithm in the cloud server (3) calculates the blood pressure data as follows: a. the method comprises the steps that a cloud server (3) receives electrocardio data and blood oxygen volume wave data monitored by a patch type electrocardio monitoring device (1) and a wristwatch type physiological parameter monitoring device (2), B, a PWTT starting calibration position is obtained at an R wave position in the electrocardio data a or the electrocardio data B, c, a PWTT ending calibration position is obtained in the blood oxygen volume wave data, d, the obtained PWTT starting calibration position and the obtained PWTT ending calibration position are subjected to difference calculation to obtain a pulse wave delay value (delta T) e of the PWTT, and central arterial pressure is obtained according to a formula Bp + B delta T, wherein Bp is central arterial pressure, A, B is a constant, and delta T is the pulse wave delay value.
Referring to fig. 4, comparing the graphs a and B, it can be seen that in the idealized graph a, the PWTT calibration end positions are all on the same straight line and there is no other clutter interference, at this time, the PWTT calibration end positions are easy to obtain, in the actual graph B, it can be seen that the blood oxygen volume wave map is interfered by external clutter interference, at this time, it is difficult to accurately find the PWTT calibration end positions, and if the graph B is optimized into the graph a by software, at this time, the data is distorted and has a large difference with the actual data, in the present invention, it is preferable to perform a motion kinetic energy mutation calibration algorithm [ a x T x n (Xn-m) (Xn + m-Xn) ] based on biological characteristics when the PWTT calibration end positions are obtained from the blood oxygen volume wave data, where a is a sensitivity coefficient, and T is body temperature data (equal to (wrist body temperature data + chest body temperature data)/2 at normal temperature), xn is an actually measured pulse wave data sequence (pulse waves are obtained when blood oxygen volume waves are obtained), n is a serial number, m is a coefficient of the self elastic scale of the organism, and the PWTT calibration ending position of 20% of each blood oxygen volume wave can be accurately found out through the algorithm. This process ensures that the procedure of claim 5 proceeds smoothly.
The above embodiments are merely illustrative of the principles of the present invention and its effects, and do not limit the present invention. It will be apparent to those skilled in the art that modifications and variations can be made in the above-described embodiments without departing from the spirit or scope of the invention. Accordingly, it is intended that all equivalent modifications or changes be made by those skilled in the art without departing from the spirit and technical spirit of the present invention, and be covered by the claims of the present invention.
Claims (7)
1. A sleeveless blood pressure monitoring system based on a PWTT principle is characterized by comprising a patch type electrocardio monitoring device, a wristwatch type physiological parameter monitoring device and a cloud server, wherein the wristwatch type physiological parameter monitoring device simultaneously monitors electrocardio, body temperature and blood oxygen volume wave parameters, the wristwatch type physiological parameter monitoring device comprises a synchronous monitoring host, a reflective photoelectric sensor, a body temperature probe a, an electrocardioelectrode a, a display and a wristwatch, the reflective photoelectric sensor and the body temperature probe a are positioned below the synchronous monitoring host, the electrocardioelectrode a and the display are positioned on the front side of the wristwatch, the patch type electrocardio monitoring device comprises an electrocardio monitoring host, an electrocardioelectrode b, a body temperature probe b and a shell, the patch type electrocardio monitoring device is attached to the chest of a human body, the cloud server carries a PWTT blood pressure calculation method, and the synchronous monitoring host carries the PWTT blood pressure calculation method through the reflective photoelectric sensor, The body temperature probe a and the electrocardio electrode a acquire blood oxygen volume wave data, wrist body temperature data and electrocardio data a, the electrocardio monitoring host acquires electrocardio data b and chest body temperature data through an electrocardio electrode b and a body temperature probe b, the electrocardio monitoring host transmits the data to the synchronous monitoring host through Bluetooth after acquiring the data, blood oxygen volume wave data, wrist body temperature data, electrocardio data a, electrocardio data b, chest body temperature data are uploaded to the cloud server simultaneously by the synchronous monitoring host, the cloud server calibrates and analyzes received data to obtain central arterial pressure (BP) numerical value, heart rate numerical value, body temperature numerical value (T) and blood oxygen saturation numerical value, the cloud server transmits the calibrated and analyzed numerical value to the synchronous monitoring host, the synchronous monitoring host displays the numerical value through a display, and the calibrated and analyzed numerical value in the cloud server can be checked on line.
2. The system according to claim 1, wherein the synchronous monitoring host and the electrocardiographic monitoring host each comprise a synchronization module, the two synchronization modules are synchronized in a bluetooth mode, and the synchronization error value is less than 50 μ sec/hr.
3. The system according to claim 1, wherein each of the wristwatch-type physiological parameter monitoring devices can be connected to 1-30 patch-type electrocardiograph monitoring devices or wristwatch-type physiological parameter monitoring devices via wireless network (bluetooth, 4G or WiFi).
4. The system according to claim 1 or 3, wherein the wrist watch type physiological parameter monitoring device can transmit data to each other via wireless network (Bluetooth, 4G or WiFi).
5. The system according to claim 1, wherein the patch type electrocardiographic monitoring device and the wristwatch type physiological parameter monitoring device are configured to continuously monitor and upload data to the cloud server every 5s ± 0.01 s.
6. The system according to claim 1, wherein the PWTT algorithm in the cloud server calculates the blood pressure data as follows: a. the cloud server receives electrocardiogram data and blood oxygen volume wave data monitored by a patch type electrocardiogram monitoring device and a wristwatch type physiological parameter monitoring device, B, a PWTT starting calibration position is obtained at an R wave position in the electrocardiogram data a or the electrocardiogram data B, c, a PWTT ending calibration position is obtained in the blood oxygen volume wave data, d, the obtained PWTT starting calibration position and the obtained PWTT ending calibration position are subjected to difference calculation to obtain a pulse wave delay value (delta T) e of the PWTT, and a central arterial pressure is obtained according to a formula Bp which is A + B delta T, wherein Bp is central arterial pressure, A, B is a constant, and delta T is the pulse wave delay value.
7. The device according to claim 6, wherein a moving kinetic energy jump calibration algorithm [ a x T x Xn (Xn-m) x (Xn + m-Xn) ] based on biological characteristics is performed when acquiring the PWTT ending calibration position in the blood oxygen volume wave data, where a is the sensitivity coefficient, T is the body temperature data (equal to (wrist body temperature data + chest body temperature data)/2 at normal temperature), Xn is the actually measured pulse wave data sequence (pulse wave is acquired while acquiring blood oxygen volume wave), n is the serial number, and m is the coefficient of the elastic scale of the organism itself.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115990007A (en) * | 2022-11-30 | 2023-04-21 | 未来穿戴健康科技股份有限公司 | Central artery pressure waveform fitting method, monitoring device and watch equipment |
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| US20190365256A1 (en) * | 2016-09-12 | 2019-12-05 | Koninklijke Philips N.V. | Pulse wave velocity determination, for example for blood pressure monitoring |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20190365256A1 (en) * | 2016-09-12 | 2019-12-05 | Koninklijke Philips N.V. | Pulse wave velocity determination, for example for blood pressure monitoring |
Non-Patent Citations (1)
| Title |
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| 刘光达;郭维;李肃义;蔡靖;包泽民;孙潇宇;: "穿戴式人体参数连续监测系统", 吉林大学学报(工学版), no. 03, 15 May 2011 (2011-05-15) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115990007A (en) * | 2022-11-30 | 2023-04-21 | 未来穿戴健康科技股份有限公司 | Central artery pressure waveform fitting method, monitoring device and watch equipment |
| CN115990007B (en) * | 2022-11-30 | 2024-01-23 | 未来穿戴健康科技股份有限公司 | Central artery pressure waveform fitting method, monitoring device and watch equipment |
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