CN115633948A - Portable vital sign monitoring devices - Google Patents
Portable vital sign monitoring devices Download PDFInfo
- Publication number
- CN115633948A CN115633948A CN202211286020.0A CN202211286020A CN115633948A CN 115633948 A CN115633948 A CN 115633948A CN 202211286020 A CN202211286020 A CN 202211286020A CN 115633948 A CN115633948 A CN 115633948A
- Authority
- CN
- China
- Prior art keywords
- module
- camera
- sign
- heart
- radar
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a portable vital sign monitoring device, which comprises a radar sign detection module, a camera auxiliary positioning module, a cardio-pulmonary health evaluation and display early warning module and an operation environment monitoring module, wherein the radar sign detection module is used for transmitting electromagnetic waves and receiving echo signals and judging the respiratory frequency and the heartbeat frequency of a person according to the echo signals, the camera auxiliary positioning module realizes target positioning operation, the cardio-pulmonary health evaluation and display early warning module further processes and analyzes the heartbeat and respiratory information separated by the radar sign detection module to provide reference for judging the health of cardio-pulmonary functions, and the operation environment monitoring module is used for judging the air quality of an operation environment and early warning and displaying dangerous conditions. The device can be used for monitoring vital signs of soldiers, disaster relief personnel and injured people in the scenes of battlefields, disaster areas and the like, can be used for monitoring the vital signs of the soldiers, the disaster relief personnel and the injured people, can also be used for monitoring the vital signs of surrounding people, has a sign abnormal alarm signal and guides rescue work.
Description
Technical Field
The invention relates to the technical field of medical instruments, in particular to a portable vital sign monitoring device.
Background
Sign health detection research and application have attracted extensive attention. Under complex scenes such as battlefields, disaster areas and the like, the real-time life detection of related personnel not only needs to meet a certain detection speed, but also needs to give related prompts. Detecting the sign signals based on a non-contact method can help diagnose the health condition. When the Internet of things is carried for health monitoring, the non-contact sensor can avoid interference with human body feeling and life quality. By detecting the physical sign signals such as heart rate, respiratory rate, blood oxygen saturation and the like, the health condition can be discovered or predicted at an early stage by helping a patient to diagnose abnormal symptoms such as bradycardia, tachycardia, tachypnea, apnea and the like. Usually, the monitoring of cardiopulmonary activity is realized through skin contact sensor, and the signal that detects through the contact is more accurate, steady and directly perceived, and the doctor can directly be according to the signal characteristics analysis state of illness. However, touch sensors may cause skin damage, infection, or adverse reactions to the injured person, burned person. And the conducting wire and the electrode used by the contact sensor are disposable, so that the cost is easily wasted. These problems can be reduced using a non-contact detection method.
Disclosure of Invention
The invention aims to provide a vital sign monitoring device based on a millimeter wave radar and used for soldiers, relief workers and injured people in complex environments such as battlefields, disaster areas and the like, aiming at the defects of the prior art.
In order to solve the technical problems, the invention provides the following technical scheme:
a portable vital signs monitoring device, comprising: the heart-lung health evaluation and display early warning system comprises a camera auxiliary positioning module, a radar sign detection module and a heart-lung health evaluation and display early warning module, wherein the camera auxiliary positioning module comprises a camera, a light source, a light sensor and an omnidirectional pan-tilt, the radar sign monitoring module comprises a millimeter wave radar, the heart-lung health evaluation and display early warning module comprises an LCD (liquid crystal display), a buzzer and a mini-type embedded computer, the camera, the light source, the light sensor, the millimeter wave radar and the buzzer are arranged on the omnidirectional pan-tilt, the LCD is arranged on a control box, the control box is connected with the omnidirectional pan-tilt, the mini-type embedded computer is arranged in the control box, and the camera, the light source, the light sensor, the omnidirectional pan-tilt, the millimeter wave radar, the display and the buzzer are all connected with the mini-type embedded computer; the system comprises a camera auxiliary positioning module, a radar sign monitoring module, a heart-lung health assessment and display early warning module, a mini embedded computer and a monitoring and monitoring system, wherein the camera auxiliary positioning module is used for auxiliary positioning of the position of a human target to be monitored, the radar sign monitoring module is used for collecting sign signals of the human target to be monitored and transmitting the sign signals to the mini embedded computer, and the heart-lung health assessment and display early warning module is used for processing, analyzing and collecting the sign signals of the human target to be monitored and carrying out heart-lung health assessment and analysis.
Furthermore, the mini embedded computer is connected with an operating environment monitoring module, and the operating environment monitoring module is used for collecting the air quality, temperature, humidity and pressure of the operating environment and transmitting the air quality, temperature, humidity and pressure to the mini embedded computer.
Further, the camera auxiliary positioning module is used for auxiliary positioning of the position of the human body target to be monitored, and specifically comprises the following processes:
step 1: the light sensor detects the ambient light intensity;
step 2: according to the ambient illumination intensity, a light source is used for supplementing light;
and 3, step 3: starting the omnidirectional pan-tilt and the camera;
and 4, step 4: rotating the omnidirectional holder, and searching a human body target to be monitored through the camera;
and 5: detecting the human body target frame by the camera, if no human body part is detected, returning to execute the step 4, otherwise, executing the next step;
step 6: identifying a left chest target position of a human body as a central position, and rotating the omnidirectional holder to align the camera with the central position;
and 7: and closing the camera and the omnidirectional holder.
Further, the cardiopulmonary health assessment and display early warning module is used for processing, analyzing and collecting physical sign signals of a human target to be monitored and performing cardiopulmonary health assessment and analysis, and specifically comprises the following steps:
and 8: receiving beat signals collected by a radar sign monitoring module for preprocessing;
and step 9: detecting whether the human body target generates body movement, if the human body target generates body movement, displaying body movement reminding on an LCD display, and repositioning the chest position of the human body target, otherwise, executing the next step;
step 10: detecting whether the human target generates apnea, if the human target generates apnea, displaying that the respiration rate is 0 on an LCD, otherwise, executing the next step;
step 11: separating and extracting heart and lung characteristic signals into a heartbeat waveform, a respiration waveform, a heart rate estimation value and a respiration rate estimation value, and displaying the heart and lung characteristic signals on an LCD;
step 12: and performing heart rate variability analysis and respiratory rate variability analysis through the heartbeat waveform and the respiratory waveform.
Furthermore, the millimeter wave radar adopts an integrated monolithic frequency modulation continuous wave radar sensor, and the working frequency is 76GHz to 81GHz.
Further, the mini embedded computer is a raspberry pie.
Furthermore, a handheld rod is arranged to be connected with the control box.
Furthermore, the omnidirectional holder is connected with the mini embedded computer through a driving plate.
Furthermore, the omnidirectional pan-tilt comprises a first steering engine and a second steering engine.
Further, still include the helmet, the top of helmet is connected with the control box through the mounting groove.
Compared with the prior art, the invention has the beneficial effects that:
1. the non-contact vital sign detection is adopted, and the posture of the user can be in a sitting, standing or lying state during detection;
2. the method can be used in complex scenes such as battlefields, disaster areas and the like;
3. the working environment condition can be monitored and fed back, and air and temperature indexes are mainly monitored;
4. the monitoring system can be used for monitoring vital signs of the user, and can also be used for monitoring the vital signs of surrounding people;
5. the device has a sign abnormal alarm signal to guide rescue work;
6. the auxiliary positioning module is included, and when a user moves, the user can be accurately repositioned to the left chest;
7. a heart rate variability analysis (HRV) and a respiratory rate variability analysis (BRV) can be performed.
Drawings
FIG. 1 is a schematic view of the overall structure of the embodiment of the present invention in a head-mounted state;
FIG. 2 is a schematic view of an overall structure of a handheld state according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating a connection relationship between modules according to an embodiment of the present invention;
FIG. 4 is an overall workflow diagram of an embodiment of the present invention;
FIG. 5 is a flowchart illustrating operation of an auxiliary camera positioning module according to an embodiment of the present invention;
fig. 6 is a flowchart illustrating the operation of the cardiopulmonary health assessment and display early warning module according to the embodiment of the present invention.
Wherein: 1-millimeter wave radar, 2-light sensor, 3-camera, 4-first steering engine, 5-light source, 6-buzzer, 7-second steering engine, 8-handheld rod, 9-LCD display, 10-operation environment monitoring module, 11-driving board, 12-raspberry group, 13-control box and 14-helmet.
Detailed Description
For the understanding of the present invention, the following detailed description will be given with reference to the accompanying drawings, which are provided for the purpose of illustration only and are not intended to limit the scope of the present invention.
Fig. 1-3 show a specific implementation of a portable vital sign monitoring device, which includes a camera auxiliary positioning module, a radar sign detection module, a cardiopulmonary health assessment and display early warning module, and an operating environment monitoring module 10, wherein the camera auxiliary positioning module includes a camera 3, a light source 5, a light sensor 2, and an omnidirectional pan-tilt, and the omnidirectional pan-tilt includes a first steering engine 4 and a second steering engine 7. The radar sign monitoring module adopts a millimeter wave radar 1, specifically an integrated monolithic Frequency Modulated Continuous Wave (FMCW) radar sensor, the working frequency is 77GHz, the corresponding wavelength is 3.9mm, the sensor is provided with 2 transmitting antennas and 4 receiving antennas, the maximum measurable distance is 4.29 meters, and the minimum resolution distance is 0.0429 meters. The heart-lung health evaluating and displaying early warning module comprises an LCD (liquid crystal display) 9, a buzzer 6 and a miniature embedded computer, and a raspberry pie 12 is used as the miniature embedded computer and is arranged in a control box 13. Camera 3, light source 5, optical line sensors 20, millimeter wave radar 1, LCD display 9, bee calling organ 6 all links to each other with raspberry group 12, first steering wheel 4, second steering wheel 7 is connected with raspberry group 12 through drive plate 11, camera 3, light source 5, optical line sensors 2, millimeter wave radar 1, bee calling organ 6 set up on first steering wheel 4 and second steering wheel 7, LCD display 9 sets up on control box 13, control box 13 is connected with second steering wheel 7.
Preferably, the millimeter wave radar 1 can also be connected to a PC end through a UART interface for signal analysis; the light source 5 adopts an LED light source, and the light sensor 2, the light source 5 and the driving board 11 are all connected to a GPIO port of the raspberry pie 12.
The present embodiment has two use states, including a head-mounted state and a hand-held or fixed-position state, and can be mounted on the rescue personnel helmet 14, and also can be detached to detect the vital signs of the discovered survivors. As shown in fig. 1, when the monitoring device is in a head-wearing state, the monitoring device further comprises a helmet 14, the top of the helmet 14 is connected with the bottom of the control box 13 through a mounting groove, and the monitoring device is inserted into the mounting groove above the helmet 14 from back to front, so that a soldier or a disaster relief person can use the monitoring device by wearing the helmet 14.
When the monitoring device is in a hand-held state as shown in fig. 2, the control box 13 is drawn out from the helmet 14 to complete the state transition, and the user holds the device by the hand-held lever 8 connected to the control box 13.
As shown in fig. 4, the general workflow of this embodiment is to first locate a human target through the camera auxiliary positioning module, then collect sign signals of the human target through the radar sign monitoring module, and finally analyze the collected signals through the cardiopulmonary health assessment and display early warning module.
Specifically, the camera auxiliary positioning module is used for assisting in positioning the position of the human body target to be monitored, and the working process of the camera auxiliary positioning module is shown in fig. 5, and specifically comprises the following processes:
step 1: the light sensor 2 detects the ambient light intensity;
and 2, step: according to the ambient illumination intensity, light is supplemented by using a light source 5;
and 3, step 3: starting a first steering engine 4, a second steering engine 7 and a camera 3;
and 4, step 4: rotating the first steering engine 4 and the second steering engine 7, and searching a human body target to be monitored by driving the camera 3;
and 5: the camera 3 detects the human body target frame by frame, if no human body part is detected, the step 4 is returned to be executed, otherwise, the next step is executed;
step 6: identifying a left chest target position of a human body as a central position, and rotating a first steering engine 4 and a second steering engine 7 to align the camera 3 with the central position;
and 7: the camera 3, the first steering engine 4 and the second steering engine 7 are turned off.
The radar sign monitoring module uses a 77GHz FMCW millimeter wave radar to collect echo signals of human target signs to be monitored, data of the signals are transmitted to the raspberry pie 12 through a USB interface to be processed and identified, each frame interval is set to be 10ms, the slow time sampling rate is 100Hz, and the high-frequency components of the sign signals can be obtained sufficiently according to the sampling law.
The cardiopulmonary health assessment and display early warning module is used for processing, analyzing and collecting physical sign signals of human targets to be monitored, and performing cardiopulmonary health assessment and analysis, the working flow of the cardiopulmonary health assessment and display early warning module is shown in fig. 6, and the cardiopulmonary health assessment and display early warning module specifically comprises the following processes:
and step 8: receiving beat signals collected by a radar sign monitoring module for preprocessing;
and step 9: detecting whether the human body target generates body movement, if the body movement occurs, displaying a body movement prompt on the LCD 9, and repositioning the chest position of the human body target, otherwise, executing the next step;
step 10: detecting whether the human body target generates apnea, if the human body target generates apnea, displaying that the respiration rate is 0 on an LCD, otherwise, executing the next step;
step 11: separating and extracting heart and lung characteristic signals as a heart beat waveform, a respiration waveform, a heart rate estimation value and a respiration rate estimation value and displaying the heart and lung characteristic signals on an LCD (liquid crystal display) 9;
step 12: and performing heart rate variability analysis and respiratory rate variability analysis through the heartbeat waveform and the respiratory waveform.
The operation environment monitoring module 10 comprises an air quality sensor, a temperature sensor, a humidity sensor and a pressure sensor, is used for collecting the air quality, the temperature, the humidity and the pressure of the operation environment and transmitting the air quality, the temperature, the humidity and the pressure to the raspberry pie 12, can monitor and early warn the working environment of the equipment, and responds to relevant conditions by the buzzer 6. Specifically, the air quality sensor is used for judging the air quality of the working environment, measuring the ratio of various components in the air, and early warning and displaying dangerous conditions; the temperature sensor is used for judging the temperature of the operation environment and carrying out early warning and display on dangerous conditions; and the humidity sensor and the pressure sensor are used for detecting the humidity and the pressure of the environment.
The raspberry pie 12 is a mini embedded computer and can be connected with peripheral hardware through ports such as UBD, GPIO and Type-C; the LCD display 9 and the buzzer 6 are connected with the raspberry pie 12; the LCD 9 can display the detection result; the buzzer 6 can give an early warning to a dangerous working environment.
The vital sign monitoring device based on the millimeter wave radar 1 is developed to conveniently and accurately collect radar signal data, so that a vital sign monitoring method of a biological radar sensor can be practically applied, and a real-time cardiopulmonary activity parameter extraction method is researched on the basis; the main practical scene of the system is that the condition of heartbeat change and respiration change need to be detected in a non-contact manner, the user needs to keep a static state in the process of receiving measurement, the posture can be in a sitting, standing or lying state, and the distance between the user and the physical sign monitoring sensor cannot exceed the farthest monitoring range.
The function of processing and analyzing the acquired physical sign signals is realized, and a heartbeat waveform, a respiration waveform, a heart rate estimation value and a respiration rate estimation value are obtained after the physical sign information is preliminarily analyzed; in addition to the heartbeat and respiration waveforms displayed on the LCD display 9, the heartbeat and respiration waveforms may be analyzed for Heart Rate Variability (HRV) and respiration rate variability (BRV), with the normal range of these values varying with age, sex, weight and other factors. The analysis method comprises two parts of heart rate variability analysis (HRV) and respiratory rate variability analysis (BRV). Heart rate variability analysis (HRV) includes changes in the time interval between successive heartbeats, referred to as the inter-beat interval; the healthy heart is not a metronome, the oscillations of the healthy heart are complex and constantly changing, which allows the cardiovascular system to adjust rapidly to adapt to the sudden physiological and psychological challenges of homeostasis; at present, the measuring time of heart rate variability is divided into 24h, a short-term (5 min) and an ultra-short-term (5 min), and the method is used for analyzing the ultra-short-term heart rate variability. Studies have provided an overview of the Heart Rate Variability (HRV) time domain, frequency domain and nonlinear measures. The time domain index quantifies the HRV value observed during detection, and the frequency domain value calculates the absolute and relative quantity of signal energy in each component frequency band. The non-linear measure quantifies the unpredictability and complexity of a series of heartbeat intervals. Respiratory frequency variability analysis (BRV) calculates respiratory intervals (BBIs) from the respiratory signal, and then calculates time domain parameters, frequency domain parameters, and non-linear parameters of the respiratory intervals. Because the respiratory movement of the human body is an autonomous movement, the normal respiratory frequency is about 12 to 16 times/minute; due to the fact that related researches on respiratory rate variability are few, and due to complex factors such as weight, sex, health condition and even respiratory habits of each person, the respiratory rate variability has no uniform reference range. There are studies to distinguish between meditation and non-meditation persons using the variability of breathing rate, the present system software will refer to its calculation method and experimental analysis results to calculate the breathing intervals (BBIs) from the breathing signal and then calculate the time domain parameters, frequency domain parameters and non-linear parameters of the breathing intervals.
The above embodiments are merely illustrative of the technical concept and structural features of the present invention, and are intended to be implemented by those skilled in the art, but the present invention is not limited thereto, and any equivalent changes or modifications made according to the spirit of the present invention should fall within the scope of the present invention.
Claims (10)
1. A portable vital signs monitoring device, comprising: the heart-lung health assessment and display early warning system comprises a camera auxiliary positioning module, a radar sign detection module and a heart-lung health assessment and display early warning module, wherein the camera auxiliary positioning module comprises a camera (3), a light source (5), a light sensor (2) and an omnidirectional holder, the radar sign monitoring module comprises a millimeter wave radar (1), the heart-lung health assessment and display early warning module comprises an LCD (liquid crystal display) (9), a buzzer (6) and a mini embedded computer, the camera (3), the light source (5), the light sensor (2), the millimeter wave radar (1) and the buzzer (6) are arranged on the omnidirectional holder, the LCD (9) is arranged on a control box (13), the control box (13) is connected with the omnidirectional holder, the mini embedded computer is arranged in the control box (13), and the camera (3), the light source (5), the light sensor (2), the omnidirectional holder, the millimeter wave radar (1), the LCD (9) and the buzzer (6) are all connected with the mini embedded computer; the monitoring system comprises a camera auxiliary positioning module, a radar sign monitoring module, a mini-type embedded computer, a heart-lung health assessment and display early warning module, a mini-type embedded computer and a monitoring module, wherein the camera auxiliary positioning module is used for assisting in positioning the position of a human target to be monitored, the radar sign monitoring module is used for acquiring sign signals of the human target to be monitored and transmitting the sign signals to the mini-type embedded computer, and the heart-lung health assessment and display early warning module is used for processing, analyzing and acquiring the sign signals of the human target to be monitored and performing heart-lung health assessment and analysis.
2. The portable vital sign monitoring device of claim 1, wherein: the mini embedded computer is connected with an operation environment monitoring module (10), and the operation environment monitoring module (10) is used for collecting the air quality, the temperature, the humidity and the pressure of an operation environment and transmitting the air quality, the temperature, the humidity and the pressure to the mini embedded computer.
3. The portable vital signs monitoring device of claim 1, wherein: the camera auxiliary positioning module is used for auxiliary positioning of the position of a human body target to be monitored, and specifically comprises the following processes:
step 1: the light sensor (2) detects the ambient light intensity;
step 2: according to the ambient illumination intensity, a light source (5) is used for supplementing light;
and step 3: starting the omnidirectional pan-tilt and the camera (3);
and 4, step 4: the omnidirectional holder is rotated, and a human body target to be monitored is searched through the camera (3);
and 5: the camera (3) detects the human body target frame by frame, if no human body part is detected, the step 4 is returned to be executed, otherwise, the next step is executed;
step 6: identifying the target position of the left chest of the human body as a central position, and rotating the omnidirectional holder to align the camera (3) with the central position;
and 7: and closing the camera (3) and the omnidirectional pan-tilt.
4. A portable vital signs monitoring device according to claim 3, wherein: the cardiopulmonary health assessment and display early warning module is used for processing, analyzing and collecting physical sign signals of human targets to be monitored and performing cardiopulmonary health assessment and analysis, and specifically comprises the following steps:
and 8: receiving beat signals collected by a radar sign monitoring module for preprocessing;
and step 9: detecting whether the human body target generates body movement, if the human body target generates body movement, displaying a body movement prompt on an LCD (9), and repositioning the chest position of the human body target, otherwise, executing the next step;
step 10: detecting whether the human target is in apnea, if the human target is in apnea, displaying that the respiration rate is 0 on an LCD (9), and if the human target is not in apnea, executing the next step;
step 11: separating and extracting heart and lung characteristic signals into a heart beat waveform, a respiration waveform, a heart rate estimation value and a respiration rate estimation value, and displaying the heart and lung characteristic signals on an LCD (9);
step 12: and performing heart rate variability analysis and respiratory rate variability analysis through the heartbeat waveform and the respiratory waveform.
5. The portable vital signs monitoring device of claim 1, wherein: the millimeter wave radar (1) adopts an integrated monolithic frequency modulation continuous wave radar sensor, and the working frequency is 76GHz to 81GHz.
6. The portable vital signs monitoring device of claim 1, wherein: the mini embedded computer is a raspberry pie (12).
7. The portable vital signs monitoring device of claim 1, wherein: a hand-held rod (8) is also arranged to be connected with the control box (13).
8. The portable vital sign monitoring device of claim 1, wherein: the omnidirectional holder is connected with the mini embedded computer through a driving plate (11).
9. The portable vital signs monitoring device of claim 1, wherein: the omnidirectional pan-tilt comprises a first steering engine (4) and a second steering engine (7).
10. The portable vital signs monitoring device of claim 1, wherein: the helmet is characterized by further comprising a helmet (14), and the top of the helmet (14) is connected with the control box (13) through a mounting groove.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211286020.0A CN115633948A (en) | 2022-10-20 | 2022-10-20 | Portable vital sign monitoring devices |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211286020.0A CN115633948A (en) | 2022-10-20 | 2022-10-20 | Portable vital sign monitoring devices |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115633948A true CN115633948A (en) | 2023-01-24 |
Family
ID=84945358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211286020.0A Pending CN115633948A (en) | 2022-10-20 | 2022-10-20 | Portable vital sign monitoring devices |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115633948A (en) |
-
2022
- 2022-10-20 CN CN202211286020.0A patent/CN115633948A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11763665B2 (en) | Non-invasive multifunctional telemetry apparatus and real-time system for monitoring clinical signals and health parameters | |
| EP3383256B1 (en) | Systems and methods for detecting photoplethysmographic device usage | |
| CN104055499B (en) | Monitor wearable Intelligent bracelet and the method for Human Physiology sign continuously | |
| US10194808B1 (en) | Correlated hemodynamic measurements | |
| CN107080527B (en) | Mental state monitoring method based on wearable vital sign monitoring device | |
| CA3075474C (en) | Non-invasive multifunctional telemetry apparatus and real-time system for monitoring clinical signals and health parameters | |
| CN110167430A (en) | Vital signs monitoring device, system and method | |
| CN104640498A (en) | Mobile cardiac health monitoring | |
| US20220249020A1 (en) | System for monitoring physiological parameters | |
| CN112244803A (en) | Sufficient risk check out test set of diabetes | |
| CN107582040B (en) | Method and device for monitoring heart rhythm | |
| CN103169479A (en) | Blood oxygen measuring system, physiological measuring device thereof and pulse wave analysis method thereof | |
| CA3193711A1 (en) | Systems, devices, and methods for developing a fetal oximetry model for use to determine a fetal oximetry value | |
| CN103908233A (en) | Monitoring device for physiological parameters of human body | |
| CN203898280U (en) | Human health condition monitoring device | |
| CN105078422A (en) | Method and equipment based on pulse blood oxygen technology to monitor cardio-pulmonary resuscitation) pressing interruption time | |
| Tzavaras et al. | Development of a low-cost wireless monitoring System supporting the Continuity of Medical Care of the Patient at home | |
| CN115633948A (en) | Portable vital sign monitoring devices | |
| CN203059671U (en) | Monitoring equipment for cardiovascular system status | |
| Izneid et al. | Development of wireless Bluetooth heart rate remote monitoring system | |
| CN114732381A (en) | Multifunctional physiological and biochemical parameter detection system and use method | |
| CN208301646U (en) | A kind of multi-parameter monitoring equipment | |
| CN111603151A (en) | Noninvasive blood component detection method and system based on time-frequency joint analysis | |
| TW201601681A (en) | Medical device with arrhythmia analysis and MEMS, and the arrhythmia analysis method | |
| Yudhana et al. | A Mobile Phone Application for Someone Fitness Monitoring with Fast Fourier Transform Algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |