CN106419879B - Blood pressure dynamic monitoring system and method based on radial artery biosensor technology - Google Patents
Blood pressure dynamic monitoring system and method based on radial artery biosensor technology Download PDFInfo
- Publication number
- CN106419879B CN106419879B CN201610842517.4A CN201610842517A CN106419879B CN 106419879 B CN106419879 B CN 106419879B CN 201610842517 A CN201610842517 A CN 201610842517A CN 106419879 B CN106419879 B CN 106419879B
- Authority
- CN
- China
- Prior art keywords
- watch
- radial artery
- biosensor
- pulse wave
- blood pressure
- 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.)
- Active
Links
Images
Classifications
-
- 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
- A61B5/02125—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave propagation time
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7455—Details of notification to user or communication with user or patient ; user input means characterised by tactile indication, e.g. vibration or electrical stimulation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention provides a dynamic blood pressure monitoring system and method based on a radial artery biosensor technology, which comprises a main processor, a watch and a biosensor arranged in the watch, wherein the biosensor comprises a radial artery biosensor embedded in the watch band and used for measuring a radial artery pulse wave waveform, a stainless steel electrode embedded in the bottom of the watch and used for contacting with the wrist and measuring an Electrocardiogram (ECG) curve of a hand, the stainless steel electrode arranged at the position of the watch shell is matched with finger touch during measurement to measure an ECG curve of the other hand, and the blood pressure value is dynamically calculated by utilizing the Pulse Wave Transmission Time (PWTT) principle through pulse wave waveform data and ECG signals synchronously grabbed. According to the invention, the radial artery of the wrist is dynamically measured by the biosensor arranged in the watch strap, the pulse wave of the radial artery is captured, and the blood pressure value is calculated with high precision by matching with the two-hand ECG signal which is synchronously measured.
Description
Technical Field
The invention relates to the field of intelligent hardware and health wearable equipment, in particular to a system and a method for monitoring continuous change of blood pressure through a biosensor acting on the radial artery of the wrist of a human body.
Background
With the rapid development of electronic technology and the improvement of health concern of people, more and more intelligent hardware devices and wearable devices are urgently needed to meet the rigid requirement of measuring or dynamically monitoring human physiological parameters anytime and anywhere.
Currently, optical methods are available on the market for measuring simple pulse waves of wrist capillaries by a PPG principle (photoplethysmography), and blood pressure values are simply estimated by calculating pulse rates. The basic principle of the method determines that the high precision of the blood pressure cannot be accurately calculated, because the pulse rate and the blood pressure value do not correspond to each other one by one. The pulse wave measured by the capillary vessel is weakly related to the cardiovascular parameter corresponding to the blood pressure in time and hemodynamics principle.
Disclosure of Invention
The invention aims to provide a blood pressure dynamic monitoring system and a blood pressure dynamic monitoring method based on a radial artery biosensor technology, which realize dynamic monitoring of individual blood pressure values through single measurement of autonomous triggering or self-defined system active measurement. The requirement of the hypertension crowd for monitoring the blood pressure in real time is met, or the requirement of the crowd concerned about blood pressure fluctuation is met. The user can more conveniently know the blood pressure condition of each time period all day. The invention focuses on the realization of high-precision dynamic monitoring of human blood pressure and solves the problem of high-precision requirement which cannot be met by the conventional optical simple measurement. The method is characterized in that a biosensor arranged in a watch strap is used for dynamically measuring the radial artery of the wrist, capturing the pulse wave of the radial artery, and matching with a two-hand ECG signal which is synchronously measured to calculate the blood pressure value with high precision.
The above object to be achieved by the present invention is achieved by the following technical solutions:
the utility model provides a blood pressure dynamic monitoring system based on radial artery biosensor technique, includes host processor, wrist-watch and arranges the biosensor in the wrist-watch in, the biosensor includes the radial artery biosensor who embeds in the watchband for measure radial artery pulse wave form, and the stainless steel electrode that inlays in the wrist-watch bottom is used for contacting with the wrist, measures the heart electrograph ECG curve of hand, arranges the stainless steel electrode of watchcase department in, and finger touching when the cooperation is measured measures the heart electrograph ECG curve of another hand.
The host processor is an ultra low power family of Cortex-M4 cores, running the FRTOS operating system.
The system supports a single measurement function, can initiate one measurement from a watch key, and a measurement result value is displayed on an LCD (liquid crystal display), and also supports a multi-time timing measurement function, and when a set measurement moment arrives, a watch motor vibrates to remind a user of preparing a measurement posture.
A blood pressure dynamic monitoring method based on a radial artery biosensor technology is realized by the blood pressure dynamic monitoring system based on the radial artery biosensor technology, and comprises the following steps:
step 1: measuring the waveform of a radial artery pulse wave through a biosensor arranged in the surface belt;
step 2: the contact with the wrist ECG electrode wearing the watch is realized through a stainless steel electrode arranged at the bottom of the watch;
and step 3: the contact of the ECG electrode of the other hand is realized by the stainless steel electrode arranged on the upper meter shell and the finger touch during measurement;
and 4, step 4: synchronously grasping ECG signals through the stainless steel electrodes;
and 5: and dynamically calculating to obtain the blood pressure value by utilizing the Pulse Wave Transmission Time (PWTT) principle through the pulse wave waveform data and the ECG signal which are synchronously grabbed.
when the measurement is triggered by operating the watch key, the main processor controls the radial artery pulse wave measurement operation according to the following sequence:
step 1.1: the power supply of the control system supplies power to the radial artery biosensor arranged in the watchband;
step 1.2: and controlling the IIC communication interface to control the radial artery biosensor to measure.
More specifically: the main processor and the radial artery biosensor realize the bidirectional transmission of data through the IIC serial communication port, and realize the power control and bidirectional data awakening function of the radial artery biosensor through the GPIO interface;
after the power is on, the main processor configures the radial artery biosensor through the IIC interface, so that the radial artery biosensor works in a low-power consumption state and has a wake-up function;
when the system receives a test starting command, the main processor starts a radial artery biosensor measuring mode through the GPIO interface and the IIC interface and acquires data;
the main processor can determine the time length of the measurement according to the signal quality, if enough good data cannot be obtained within a certain time, the failure of the measurement is declared, in the measurement process, when the collected good data meet the calculation requirement, the system directly stops the measurement, and the power supply of the radial artery biosensor is closed after the relevant exit mode is set, so that the power consumption of the system is reduced.
The step 4 comprises the following contents:
when the measurement is triggered by operating the watch keys, the main processor controls the ECG measurement in the following sequence:
step 4.1: controlling a system power supply to supply power to the ECG measuring system;
step 4.2: and controlling an SPI communication interface to control ECG measurement and capture measurement data.
More specifically: when the system receives a test starting command, the main processor starts an ECG sensor measuring mode through the GPIO interface and the SPI interface and acquires data;
the main processor can determine the time length of the measurement according to the signal quality, if enough good data cannot be obtained within a certain time, the failure of the measurement is declared, in the measurement process, when the collected good data meet the calculation requirement, the system directly stops the measurement, and the power supply of the ECG sensor is turned off after the relevant exit mode is set through the SPI, so that the power consumption of the system is reduced.
The method for dynamically calculating the blood pressure value by using the Pulse Wave Transmission Time (PWTT) principle in the step 5 specifically comprises the following steps:
according to the research on the MIMIC database of the Massachusetts institute of technology and the relation between the arterial blood pressure and the pulse wave propagation time, the pulse wave transmission time and the arterial blood pressure have a negative correlation, the average arterial pressure can be calculated through the pulse wave transmission time within a certain time range, and the root mean square error is less than 5 mmHg. The invention uses a linear regression method to calculate the linear equation between the pulse wave transmission time and the average arterial pressure in a subsection mode, and compares the linear equation with the actual blood pressure to evaluate the error of the piecewise linear equation for correction. Another parameter that affects the accuracy of linear equations is the geometry of the body, i.e., the physical length of the loop from the heart to the wrist. The invention determines the length of the physical loop by inputting the height and weight parameters of the human body in the setting parameters of the watch, and the length of the physical loop is used as one of the input parameters of the linear equation. In the actual measurement process, the PWTT value between the two waveforms is obtained through signal processing by synchronously grabbing the pulse wave waveform and the ECG signal. The linear equation calculates the blood pressure value based on the PWTT value and the physical circuit length.
The principle of the invention for realizing dynamic blood pressure monitoring by using the radial pulse wave and the ECG signal is briefly described as follows:
the speed of pulse wave transmission is directly related to blood pressure, and when the blood pressure is high, the pulse wave transmission is fast, otherwise, the pulse wave transmission is slow. The pulse transmission time (PWTT) can be obtained by the ECG signal and the pulse wave signal, and the pulse wave transmission speed can be obtained by adding some conventional body parameters (such as height and weight), so as to calculate the blood pressure value.
The pulse wave is formed by the propagation of the pulsation (vibration) of the heart along the arterial blood vessels and the blood flow to the periphery, as if it were the waviness of the water surface. The pulse wave varies slightly at different locations (aorta, artery or capillary) with the circulation of blood in the blood vessel. Because of the special relevance of the pulse wave and the blood flow, the blood pressure can be indirectly measured through the pulse wave, and the method is different from a Korotkoff sound blood pressure measuring method combining listening and watching, has no subjective error when the pulse wave is used for measuring the blood pressure, has no error caused by insufficient hearing and eyesight of a doctor, and has the reliability of accuracy.
The pulse wave detection method replaces the Korotkoff sound method, adopts multi-point measurement to replace single-point measurement, utilizes the internal relation and change rule between each point near the systolic pressure and diastolic pressure point, adopts the calculation method of approximation and fitting to calculate the real systolic pressure and diastolic pressure value, realizes the continuous measurement of discontinuous events, and can measure the blood pressure value between two jumps of the heart. All measurement processes do not need manual intervention, and errors caused by subjectivity are avoided. The calculation of the blood pressure value depends on the internal connection and the change law between the points near the systolic pressure and the diastolic pressure point.
With regard to the ECG measurement, electrodes are mounted on the bottom and surface of the watch, respectively, the bottom electrode being in contact with the wrist and the surface electrode being in contact with the other hand, so that electrocardiogram ECG curves taken from both hands are measured.
Compared with the prior art, the invention has the following beneficial effects:
1) by integrating the radial pulse wave measurement and ECG signal measurement technology into a small intelligent watch, a user can conveniently measure the blood pressure value at any time and any place;
2) the blood pressure fluctuation situation of the user in each time period within 24 hours all day can be conveniently known by the user through single measurement triggered by the user or multiple timing measurements set by the system, so that all-weather dynamic blood pressure monitoring is realized;
2) by optimizing the power consumption of the system, the standby time is prolonged by 60 days, and the user experience is enhanced.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic diagram of the hardware architecture of the system of the present invention;
FIG. 2 is a schematic diagram of the present invention for calculating a blood pressure value by using a pulse wave signal and an ECG signal;
wherein: (a) representing high blood pressure, (b) representing low blood pressure;
FIG. 3 is a flow chart of the low power algorithm of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
The invention realizes the calculation of the blood pressure value and the heart rate value by mainly utilizing the biosensor to measure the pulse wave of the radial artery and synchronously measuring the ECG signals of both hands. The central rate value can be calculated separately from the pulse wave or the ECG signal. However, the high precision blood pressure value requires the radial pulse wave data and the ECG data to be jointly involved in the calculation. The invention is based on the theory that the PWTT working principle (measuring blood pressure by using electrocardio and pulse waves) is adopted.
In order to improve the accuracy of human blood pressure measurement in the intelligent watch device, a human blood pressure calculation model based on multiple pulse wave parameters is established through multiple linear regression analysis of the multiple pulse wave parameters such as pulse transmission time (PWTT), cardiac output per stroke, waveform coefficient, ascending and descending average slope, pulse rate and the like, and the blood pressure value is calculated by using the model. By implanting stainless steel electrodes at the bottom and the top of the watch, the defects that electrodes need to be replaced and a lead connecting wire is inconvenient to wear when an electrocardiosignal is used as a reference for calculating the PWTT (PWTT _ ECG) are overcome. The blood pressure calculated by the human blood pressure calculation model based on the PWTTPCG and the multi-pulse wave parameters is verified through experiments, and the experimental result shows that the feasibility of calculating the human blood pressure by using the PWTTPCG as PWTT is realized; the average error of the systolic pressure and the diastolic pressure calculated by the model is respectively improved by 55 percent and 50 percent compared with a single parameter, and the measurement precision is higher.
Because the pulse wave signals and the electrocardiosignals are obtained under a plurality of strong interference environments, the user is required to keep the hand posture stable during measurement, and the watch and the heart are ensured to keep the same horizontal position.
The watch built-in firmware supports a single measurement function. The user can initiate a measurement from the watch key at any time and any place, and the measurement result value is directly displayed on the LCD. The resulting values include systolic blood pressure, diastolic blood pressure, heart rate, etc. The watch also supports multiple timing measurement functions. When the set measuring moment is reached, the watch motor vibrates to remind a client of preparing a measuring posture. The timing measurement can ensure that the blood pressure monitoring is carried out according to the professional measurement requirement.
The main processor of the system is an ultra-low power consumption series of Cortex-M4 cores, and runs the FRTOS operating system. The related low power consumption algorithm and strategy ensures that the standby time is as long as 60 days.
The implementation process of the invention comprises the following steps:
obtaining radial pulse wave data
The hardware connection diagram of the invention is shown in fig. 1, the main processor and the radial artery biosensor realize the bidirectional transmission of data through an IIC serial communication port, and realize the power control and bidirectional data wake-up functions of the radial artery biosensor through a GPIO (general purpose input/output) interface.
After the power is on, the main processor configures the radial artery biosensor through the IIC interface, so that the radial artery biosensor works in a low-power consumption state and has a wake-up function;
when the system receives a test starting command, the main processor starts a radial artery biosensor measuring mode through the GPIO interface and the IIC interface and acquires data;
the main processor can determine the time length of the measurement according to the signal quality, and if enough good data can not be obtained within two minutes, the failure of the measurement is declared. In the measuring process, when the collected excellent data meets the calculation requirement, the system directly stops measuring, and the power supply of the radial artery biosensor is turned off after the relevant exit mode setting is made, so that the power consumption of the system is reduced.
Acquiring bimanual ECG data
The bottom of the watch is embedded with a stainless steel electrode. When the watch is worn in a proper tightness mode, the electrode can be ensured to be in good contact with the skin of the left wrist by the structural design. A stainless steel electrode is embedded on the right side of the watch upper cover. When the measurement is started, the index finger of the right hand needs to be lightly draped over the electrode and ensure good electrical contact. The hardware design inside the watch has paralleled the right hand reference electrode signal with the right hand electrode signal. Such a hardware scheme may ensure proper left and right hand ECG signal acquisition.
Similar to the radial pulse wave measuring method, when the system receives a test starting command, the main processor starts an ECG sensor measuring mode through the GPIO interface and the SPI interface and acquires data;
the main processor can determine the time length of the measurement according to the signal quality, and if enough good numbers cannot be obtained within two minutes, the failure of the measurement is declared. In the measuring process, when the collected excellent data meets the calculation requirement, the system directly stops measuring, and closes the power supply of the ECG sensor after relevant exit mode setting is completed through the SPI interface so as to reduce the power consumption of the system.
Calculation of results
After sufficient radial pulse wave data and bimanual ECG data are obtained, the blood pressure algorithm calculates a blood pressure value and a heart rate value based on the PWTT _ ECG principle. The parameters influencing the calculation result comprise pulse transmission time (PWTT), stroke cardiac output, wave form coefficient, ascending and descending average slope, pulse rate and other multi-pulse wave parameters. The human blood pressure calculation model is established based on multiple pulse wave parameters, and the watch calculates the blood pressure value by using the model.
Low power implementation
The key hardware device is mainly low-power consumption type, and comprises a main processor Cortex-M4, a Sharp memory liquid crystal display screen, a low-leakage load switch, a low-leakage LDO (low-leakage output) device, a low-power consumption MEMS G-Sensor, a CSR low-power consumption Bluetooth BT4.0 chip and the like.
More importantly, the software algorithm realizes low power consumption. All parts are enabled to work intermittently under the condition that user experience is not influenced, and the high power consumption duration is shortened. The operating system FRTOS also makes precise and fine adjustments to the system timing.
Fig. 2 is a schematic diagram of the principle of calculating a blood pressure value by using a pulse wave signal and an ECG signal according to the technical solution of the present invention. The top of each set of waveforms illustrates the ECG electrocardiographic waveforms obtained from both hands, and the bottom is the radial pulse waveform. The time of generation of the bimanual electrocardiographic waveform is completely synchronized with the time of the heart beat. According to hemodynamics, a certain time is required for the blood pulse wave to pass to the wrist portion, and the time difference between these two waveforms is indicated by the PWTT (pulse wave transmission time) parameter in the figure. The higher the blood pressure, the smaller the PWTT value and vice versa. Fig. 2(a) represents high blood pressure, and fig. 2(b) represents low blood pressure. The PWTT difference value of the two images corresponds to the change value of the blood pressure according to a linear equation of piecewise approximation. Blood flows from the heart to the radial artery illustrated in this case, the aorta, which is schematically shown in the figure, to the peripheral blood vessels.
Fig. 3 is a flow chart of a low power consumption algorithm according to the technical solution of the present invention. The blood pressure monitoring watch does not need to work except when blood pressure measurement is carried out, and the radial pulse wave sensor and the ECG sensor are not needed to work. Thus, the operating system FRTOS of the watch switches off the power supply to the two sensors as quickly as possible at the end of a single measurement, and only switches on at the hardware power-on sequence when the measurement begins. The maximum power consumption of the system comes from the two sensors at the time of measurement, and the shorter the time of single measurement, the better. In order to obtain sufficiently good waveform data in the shortest possible time, the low-power algorithm of the system identifies the signal quality in real time in a slicing mode, and the total quantity of the statistical qualified data is not analyzed after the whole measurement is finished. And (5) stopping the measurement once the collected qualified data meets the resolving requirement, and turning off the power supplies of the two sensors. On the other hand, the static power consumption during standby is closely related to the standby time duration. When the operating system is not performing other critical tasks, the FRTOS will fine-configure the peripheral hardware parameters to avoid any potential leakage. Meanwhile, the FRTOS is adjusted to maintain a plurality of time parameters running in rhythm, so that the system breathes slowly and accurately without missing any interruption event. The drift of the watch time display is ensured to be as small as possible.
The technical problems to be solved by the invention are embodied in the following points:
1) grasping a clear pulse wave waveform by measuring the radial artery of the wrist instead of measuring the capillary;
2) the relevant ECG signals are captured by two-handed electrode-assisted measurements. The ECG signal assists in correcting the blood pressure calculation result, and ensures that the equipment can accurately reflect the fluctuation of the blood pressure value in real time when the blood pressure dynamically changes;
3) the production, low power consumption and convenience of the technology are realized in the form of a smart watch.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (1)
1. A dynamic blood pressure monitoring system based on a radial artery biosensor technology is characterized by comprising a main processor, a watch and a biosensor arranged in the watch, wherein the biosensor comprises a radial artery biosensor embedded in the watch band and used for measuring the radial artery pulse wave waveform of a user, a stainless steel electrode embedded in the bottom of the watch shell and a stainless steel electrode arranged at the top of the watch shell and used for grabbing an ECG signal of the user, the dynamic blood pressure monitoring system utilizes the pulse wave transmission time principle to dynamically calculate a blood pressure value through synchronously grabbing pulse wave waveform data and the ECG signal, wherein the radial artery biosensor embedded in the watch band is not arranged at the bottom of the watch shell and at the top of the watch shell, but is arranged at different positions of the watch with the stainless steel electrode arranged at the top of the watch shell and the stainless steel electrode embedded at the bottom of the watch shell, the main processor and the radial artery biosensor realize the bidirectional transmission of data through an IIC serial communication port and realize the power control and bidirectional data awakening functions of the radial artery biosensor through a GPIO interface; after the power is on, the main processor configures the radial artery biosensor through the IIC interface, so that the radial artery biosensor works in a low-power consumption state and has a wake-up function; when the system receives a test starting command, the main processor starts a radial artery biosensor measuring mode through the GPIO interface and the IIC interface and acquires data;
the main processor starts the radial artery biosensor to measure and acquire data of the radial artery pulse wave waveform; the main processor stops the measurement of the waveform of the radial artery pulse wave and closes a power supply of the radial artery biosensor to reduce the power consumption of the system when judging that the collected data of the waveform of the radial artery pulse wave meet the calculation requirement, the watch key is used for triggering the measurement, so that the main processor controls the power supply of the system to supply power to the ECG sensor and controls the ECG sensor to capture the data of the measured ECG signal, and the main processor starts the ECG sensor through a GPIO (general purpose input/output) interface and an SPI (serial peripheral interface) and acquires the data of the ECG signal; when the main processor judges that the collected ECG signal data meets the calculation requirements, the measurement of the ECG signal is terminated and the power supply of the ECG sensor is turned off, so that the power consumption of the system is reduced; the main processor obtains a linear equation between the pulse wave transmission time and the average arterial pressure in a segmented mode by using a linear regression method, compares the linear equation with the actual blood pressure, evaluates the error of the segmented linear equation and corrects the error;
the main processor determines the physical length of a loop from the heart to the wrist part by inputting the height and weight parameters of the human body in the setting parameters of the watch, and the physical length is used as one of the input parameters of a linear equation; the bottom of the watch case is embedded with a stainless steel electrode, and when the watch is worn in a proper tightness mode, the electrode can be ensured to be in good contact with the skin of the left wrist by the structural design; the right side of the upper cover of the watch is embedded with a stainless steel electrode, when measurement is started, the index finger of the right hand needs to be lightly put on the electrode and good conductive contact is ensured, the right hand reference electrode signal is connected in parallel with the right hand electrode signal by the hardware design in the watch, and the right left hand ECG signal can be obtained by the hardware scheme;
the main processor obtains a pulse wave transmission time value between the two waveforms through signal processing by synchronously grabbing pulse wave waveforms and ECG signals; after enough radial pulse wave data and two-hand ECG data are obtained, a blood pressure value and a heart rate value are calculated based on a blood pressure algorithm of multiple pulse wave parameters, and the multiple pulse wave parameters influencing the calculation result comprise pulse transmission time (PWTT), cardiac output per stroke, a waveform coefficient, a rising-branch average slope and a pulse rate.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610842517.4A CN106419879B (en) | 2016-09-22 | 2016-09-22 | Blood pressure dynamic monitoring system and method based on radial artery biosensor technology |
| CN202011041073.7A CN112263230B (en) | 2016-09-22 | 2016-09-22 | Dynamic blood pressure monitoring system and method based on radial artery biosensor technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610842517.4A CN106419879B (en) | 2016-09-22 | 2016-09-22 | Blood pressure dynamic monitoring system and method based on radial artery biosensor technology |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011041073.7A Division CN112263230B (en) | 2016-09-22 | 2016-09-22 | Dynamic blood pressure monitoring system and method based on radial artery biosensor technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106419879A CN106419879A (en) | 2017-02-22 |
| CN106419879B true CN106419879B (en) | 2020-10-30 |
Family
ID=58166991
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011041073.7A Active CN112263230B (en) | 2016-09-22 | 2016-09-22 | Dynamic blood pressure monitoring system and method based on radial artery biosensor technology |
| CN201610842517.4A Active CN106419879B (en) | 2016-09-22 | 2016-09-22 | Blood pressure dynamic monitoring system and method based on radial artery biosensor technology |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011041073.7A Active CN112263230B (en) | 2016-09-22 | 2016-09-22 | Dynamic blood pressure monitoring system and method based on radial artery biosensor technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN112263230B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102407094B1 (en) * | 2017-07-25 | 2022-06-08 | 삼성전자주식회사 | Apparatus and method for measuring bio-information |
| US11013421B2 (en) | 2017-10-10 | 2021-05-25 | Verily Life Sciences Llc | Blood pressure estimation using finger-wearable sensor array |
| CN113662510B (en) * | 2020-05-15 | 2023-03-10 | 华为技术有限公司 | User health state detection method based on multiple signals, wearable device and medium |
| CN115047744A (en) * | 2022-06-30 | 2022-09-13 | 深圳金亿帝医疗设备股份有限公司 | Multifunctional smart watch, function implementation method and storage medium |
Family Cites Families (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5535753A (en) * | 1994-10-04 | 1996-07-16 | Rutgers University | Apparatus and methods for the noninvasive measurement of cardiovascular system parameters |
| CN100346740C (en) * | 2003-05-20 | 2007-11-07 | 香港中文大学 | Blood pressure measuring device and method based on the pulse information of radial artery |
| JP2005237472A (en) * | 2004-02-24 | 2005-09-08 | 七臣 ▲苅▼尾 | Sphygmomanometry instrument |
| US20060195035A1 (en) * | 2005-02-28 | 2006-08-31 | Dehchuan Sun | Non-invasive radial artery blood pressure waveform measuring apparatus system and uses thereof |
| KR100871230B1 (en) * | 2007-03-12 | 2008-11-28 | 삼성전자주식회사 | Method and?apparatus for the cuffless and non-invasive device connected to communication device which measures blood pressure from a wrist |
| JP5045476B2 (en) * | 2008-02-08 | 2012-10-10 | オムロンヘルスケア株式会社 | Detection unit for blood pressure information measuring device and blood pressure information measuring device |
| KR101007354B1 (en) * | 2008-08-25 | 2011-01-13 | 한국전자통신연구원 | Apparatus and method for measuring blood presure |
| CN101773387B (en) * | 2009-01-08 | 2011-12-14 | 香港中文大学 | Body feeling network-based sleeveless driven pulse pressure measurement and automatic calibration device |
| JP5471337B2 (en) * | 2009-11-17 | 2014-04-16 | セイコーエプソン株式会社 | Blood pressure measuring device and blood pressure measuring method |
| CN101828908A (en) * | 2010-05-10 | 2010-09-15 | 上海理工大学 | Cuff-free portable device for monitoring human physiological parameters and method |
| US9408542B1 (en) * | 2010-07-22 | 2016-08-09 | Masimo Corporation | Non-invasive blood pressure measurement system |
| CN102008296B (en) * | 2010-12-24 | 2013-09-04 | 吉林大学 | Device and method for measuring arterial blood pressures based on pulse wave signals and electrocardiosignals |
| US20150366469A1 (en) * | 2012-12-13 | 2015-12-24 | Cnv Systems Ltd. | System for measurement of cardiovascular health |
| CN203000918U (en) * | 2012-12-25 | 2013-06-19 | 沈阳市威灵医用电子有限公司 | Non-invasive blood pressure continuous monitoring system based on pulse waves |
| CN103027671A (en) * | 2013-01-09 | 2013-04-10 | 王成 | Mobile physiological parameter monitoring system |
| CN104414626B (en) * | 2013-08-23 | 2016-12-28 | 同方健康科技（北京）股份有限公司 | The method that electronics magnetic induction sphygomanometer is carried out parameter calibration |
| EP3071096A4 (en) * | 2013-11-22 | 2017-08-09 | Mc10, Inc. | Conformal sensor systems for sensing and analysis of cardiac activity |
| CN103735258A (en) * | 2014-01-13 | 2014-04-23 | 深圳市达吉隆实业发展有限公司 | Wireless multi-mode electronic sphygmomanometer |
| CN103989463B (en) * | 2014-05-16 | 2015-09-30 | 东北大学 | A kind of radial artery pulse wave detection system based on fingertip pulse wave and method |
| CN105266784A (en) * | 2014-06-05 | 2016-01-27 | 明仲 | Oscillography-based blood pressure measuring method and device |
| CN105455797B (en) * | 2014-08-19 | 2020-01-07 | 南京茂森电子技术有限公司 | Autonomic nerve heart regulation function measuring method and device |
| CN104622445B (en) * | 2015-01-30 | 2017-02-01 | 中国科学院电子学研究所 | Wireless intelligent multi-physiological-parameter health supervision wrist type equipment |
| CN104706348B (en) * | 2015-03-20 | 2018-01-30 | 宁波市美灵思医疗科技有限公司 | A kind of self-calibrating method using multi-mode continuous blood pressure measurer |
| CN104887209A (en) * | 2015-06-26 | 2015-09-09 | 京东方科技集团股份有限公司 | Blood pressure measuring method and system |
| CN105342596A (en) * | 2015-12-15 | 2016-02-24 | 深圳市珑骧智能科技有限公司 | Method and system capable of increasing heart rate detection accuracy |
-
2016
- 2016-09-22 CN CN202011041073.7A patent/CN112263230B/en active Active
- 2016-09-22 CN CN201610842517.4A patent/CN106419879B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112263230B (en) | 2023-05-09 |
| CN106419879A (en) | 2017-02-22 |
| CN112263230A (en) | 2021-01-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6659830B2 (en) | Biological information analyzer, system, and program | |
| US11317814B2 (en) | Systems and methods for collecting physiological information of a user | |
| US20190059752A1 (en) | Method and apparatus for cuff less blood pressure monitoring based on simultaneously measured ECG and PPG signals designed in wristband form for continuous wearing | |
| CN102008296B (en) | Device and method for measuring arterial blood pressures based on pulse wave signals and electrocardiosignals | |
| US20060195020A1 (en) | Methods, systems, and apparatus for measuring a pulse rate | |
| US20200178818A1 (en) | System and method for real-time heartbeat events detection using low-power motion sensor | |
| CN106419879B (en) | Blood pressure dynamic monitoring system and method based on radial artery biosensor technology | |
| CN108366749A (en) | Ambulatory blood pressure and life physical sign monitoring device, system and method | |
| US20090082681A1 (en) | Biological information processing apparatus and biological information processing method | |
| KR20150110414A (en) | Confidence indicator for physiological measurements using a wearable sensor platform | |
| WO2007053146A1 (en) | Methods, systems and apparatus for measuring a pulse rate | |
| CN103645625A (en) | Massage watch with pulse and blood-pressure testing function and use method thereof | |
| WO2022120656A1 (en) | Blood pressure measurement method and apparatus, and electronic device | |
| JP7061659B2 (en) | Electronic equipment and estimation system | |
| CN105054918A (en) | Blood pressure calculating method based on pulse reflection wave transmission time and blood pressure meter | |
| WO2022120658A1 (en) | Biological feature information detection apparatus and electronic device | |
| CN110464316A (en) | Blood pressure measuring device and smartwatch with it | |
| CN112426141A (en) | Blood pressure detection method and device and electronic equipment | |
| CN110418600A (en) | Blood pressure measuring device, method and program | |
| WO2015143729A1 (en) | Pulse condition detection device and measuring method, related device and communication system | |
| US20210353165A1 (en) | Pressure Assessment Using Pulse Wave Velocity | |
| KR20230129505A (en) | Method and system for measuring blood pressure | |
| CN108024743A (en) | Analysis of blood pressure device, blood pressure measurement apparatus, analysis of blood pressure method, analysis of blood pressure program | |
| WO2018176536A1 (en) | Blood pressure monitoring method, apparatus and device | |
| WO2015143728A1 (en) | Blood pressure detection device and measuring method, related device and communication system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190919 Address after: 201801 Shanghai Jiading District Jiaxin highway 758, 3, 2, 5. Applicant after: Shanghai Weimei Medical Technology Co., Ltd. Address before: 200235, A46 building, building 3, building 4299, 6 Jin Du Road, Shanghai, Minhang District Applicant before: Shanghai Shuilan Mdt InfoTech Ltd |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |