CN113133749B - Multi-parameter vital sign monitoring system and monitoring method - Google Patents
Multi-parameter vital sign monitoring system and monitoring method Download PDFInfo
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- CN113133749B CN113133749B CN202110517169.4A CN202110517169A CN113133749B CN 113133749 B CN113133749 B CN 113133749B CN 202110517169 A CN202110517169 A CN 202110517169A CN 113133749 B CN113133749 B CN 113133749B
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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
- A61B5/0205—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
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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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
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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
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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
Abstract
The invention relates to a multi-parameter vital sign monitoring system and a multi-parameter vital sign monitoring method. The system comprises a wrist circuit, a chest circuit, a gateway circuit and a mobile terminal; the wrist circuit and the chest circuit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol for data transmission; the gateway circuit and the mobile terminal adopt Bluetooth based on BLE5.0 protocol to perform data transmission. The invention has the characteristic of low power consumption.
Description
Technical Field
The invention relates to the field of medical care, in particular to a multi-parameter vital sign monitoring system and a monitoring method.
Background
With the increasing aging of society and the increasing concern of people on their health conditions, wearable multi-parameter vital sign monitoring systems are more and more popular with people. Along with the continuous development of electronic technology, the vital sign monitoring system of multiple style is constantly proposed, and the physical sign monitor of wired connection form not only is not convenient for the human body wearable, but also can increase user's psychological burden, and this physiological parameters such as the heart rate that just makes monitoring, pulse and blood pressure have very big deviation. Therefore, more and more monitoring systems adopt wireless communication to perform information transmission between systems.
However, the existing monitoring system is inconvenient to use due to large power consumption.
In view of the above shortcomings, a need exists for a low power consumption multi-parameter vital sign monitoring system.
Disclosure of Invention
The invention aims to provide a multi-parameter vital sign monitoring system and a multi-parameter vital sign monitoring method, which have the characteristic of low power consumption.
In order to achieve the purpose, the invention provides the following scheme:
a multi-parameter vital signs monitoring system, comprising: wrist circuit, chest circuit, gateway circuit and mobile terminal;
the wrist circuit and the chest circuit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol for data transmission;
the gateway circuit and the mobile terminal adopt Bluetooth based on BLE5.0 protocol to perform data transmission.
Optionally, the wrist circuit comprises: the device comprises a pulse blood oxygen sensor, an air pressure sensor, a nine-axis sensor and a first micro control unit;
the pulse blood oxygen sensor, the air pressure sensor and the nine-axis sensor are all connected with the first micro control unit; the first micro control unit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol for data transmission.
Optionally, the model of the pulse blood oxygen sensor is MAX 30101;
the model of the air pressure sensor is LPS22 HB;
the model of the nine-axis sensor is MPU 9250;
the first micro control unit is of the model STM32 WB.
Optionally, the chest circuit comprises: the heart rate electrocardio sensor, the nine-axis sensor, the air pressure sensor, the body temperature sensor and the second micro control unit;
the heart rate electrocardio sensor, the nine-axis sensor, the air pressure sensor and the body temperature sensor are all connected with the second micro control unit; the second micro control unit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol for data transmission.
Optionally, the model of the heart rate electrocardiograph sensor is MAX 30001;
the model of the nine-axis sensor is MPU 9250;
the model of the air pressure sensor is LPS22 HB;
the model of the body temperature sensor is MAX 30205;
the second micro control unit is of the model STM32 WB.
A multi-parameter vital sign monitoring system monitoring method comprises the following steps:
wearing the multi-parameter vital sign monitoring system;
acquiring motion parameters of a user to be monitored according to the chest circuit and the wrist circuit; the motion parameters comprise attitude and air pressure;
determining the motion state of the user to be monitored according to the motion parameters;
adjusting the monitoring interval time of the chest circuit and the wrist circuit according to the motion state;
controlling the working modes of the chest circuit and the wrist circuit according to the monitoring interval time; the working modes comprise a normal running mode, a turn-off mode, an idle mode, a sleep mode and a STOP mode;
when the chest circuit and the wrist circuit are within the monitoring interval time, the pulse blood oxygen sensor in the chest circuit and the body temperature sensor in the chest circuit are in an off mode; a heart rate electrocardio sensor in the chest circuit is in an idle mode; while the nine-axis sensor and the barometric sensor in the chest circuit and the wrist circuit are in sleep mode; simultaneously, the first micro control unit, the second micro control unit and the gateway circuit enter a STOP mode;
when the chest circuit and the wrist circuit are monitored, the first micro-control unit and the second micro-control unit enter a normal operation mode, pack the acquired physical sign data into data frames, send the data frames to the gateway circuit, and then enter a STOP mode again; and the gateway circuit receives the sign data, enters a normal running mode from the STOP mode, transmits the sign data to the mobile terminal and then enters the STOP mode again.
Optionally, said wearing said multi-parameter vital signs monitoring system further comprises:
and the wrist circuit, the chest circuit, the gateway circuit and the mobile terminal form a wearable network.
Optionally, said wearing said multi-parameter vital signs monitoring system further comprises:
and judging whether the wearing of the multi-parameter vital sign monitoring system is finished.
Optionally, determining whether the multi-parameter vital sign monitoring system is worn completely includes:
the temperature sensor of the chest circuit and the blood oxygen pulse sensor of the wrist circuit are in normal working mode;
acquiring temperature data acquired by a temperature sensor and a pulse blood oxygen sensor;
judging whether the temperature data is in a temperature range or not;
if the monitoring system is in the normal operation mode, the wearing of the multi-parameter vital sign monitoring system is completed;
if not, no wearing is finished, and the multi-parameter vital sign monitoring system enters a standby mode.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the multi-parameter vital sign monitoring system and the monitoring method provided by the invention, the wrist circuit and the chest circuit and the gateway circuit adopt Bluetooth based on a BLE5.0 protocol for data transmission; the gateway circuit and the mobile terminal adopt Bluetooth based on BLE5.0 protocol for data transmission; BLE5.0 compares data transmission rate with BLE4.2 and has improved 2 times, under the same transmission power consumption, transmission distance has improved 4 times, and broadcast mode information capacity has improved 8 times. This enables the BLE5.0 protocol to be used to reduce system power consumption over the BLE4.2 protocol when transmitting data of the same size. It can be seen that the present invention reduces overall power consumption.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a multi-parameter vital sign monitoring system according to the present invention;
FIG. 2 is a diagram of a low power consumption scheme provided by the present invention;
FIG. 3 is a diagram of a wearable network architecture;
fig. 4 is a schematic flow chart of a monitoring method of a multi-parameter vital sign monitoring system according to the present invention;
FIG. 5 is a flow chart of the gateway circuit motion state determination;
fig. 6 is a flow chart of the wrist circuit and chest circuit adjusting the interval time.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a multi-parameter vital sign monitoring system and a multi-parameter vital sign monitoring method, which have the characteristic of low power consumption.
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description thereof.
Fig. 1 is a schematic structural diagram of a multi-parameter vital sign monitoring system provided by the present invention, and as shown in fig. 1, the multi-parameter vital sign monitoring system includes: wrist circuit, chest circuit, gateway circuit and mobile terminal.
The wrist circuit and the chest circuit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol for data transmission.
The gateway circuit and the mobile terminal adopt Bluetooth based on BLE5.0 protocol to perform data transmission.
Wrist circuit, chest circuit, gateway circuit and mobile terminal constitute through the bluetooth and dress the network and carry out data transmission, transmit 6 vital sign parameters of blood oxygen concentration, pulse, blood pressure, heart rate, electrocardio and body temperature and nine sensor data and barometer data of gathering. The wearing network is shown in fig. 3.
The wrist circuit includes: the pulse blood oxygen sensor, the air pressure sensor, the nine-axis sensor and the first micro control unit MCU 1;
the pulse blood oxygen sensor, the air pressure sensor and the nine-axis sensor are all connected with the first micro control unit MCU 1; the first MCU1 and the gateway circuit adopt bluetooth based on BLE5.0 protocol for data transmission.
The model of the pulse blood oxygen sensor is MAX 30101;
the model of the air pressure sensor is LPS22 HB;
the model of the nine-axis sensor is MPU 9250;
the model of the first micro control unit MCU1 is STM32 WB.
The chest circuit includes: the heart rate electrocardio sensor, the nine-axis sensor, the air pressure sensor, the body temperature sensor and the second micro control unit MCU 2;
the heart rate electrocardio sensor, the nine-axis sensor, the air pressure sensor and the body temperature sensor are all connected with the second micro control unit MCU 2; the second MCU2 and the gateway circuit adopt bluetooth based on BLE5.0 protocol for data transmission.
The model of the heart rate electrocardio sensor is MAX 30001;
the model of the nine-axis sensor is MPU 9250;
the model of the air pressure sensor is LPS22 HB;
the model of the body temperature sensor is MAX 30205;
the model of the second micro control unit MCU2 is STM32 WB.
The low power consumption sensor is first selected in the circuit design section. The circuit has low power consumption characteristics due to the selection of the devices. The pulse oximetry sensor selects the low power device MAX30101, and the lookup table of the sensor and the pulse oximetry sensor DCM07 is shown in Table 1. From table 1 it can be seen that not only is the power consumption of MAX30101 low, but also the off current is only 0.7uA, and the device consumes almost no power when MAX30101 is put into off mode during standby. The heart rate electrocardio sensor is MAX30001, and a comparison table of the heart rate electrocardio sensor with a heart rate electrocardio sensor BMD101 of Neurosky company and a PLUS101 of Shenzhen PLUS science and technology Limited company is shown in a table 2. From table 2, it can be seen that the MAX30001 has an ultra-low power consumption characteristic, the off current of the device is only 0.6uA, and also when the MAX30001 can be put into the off mode during standby, the device has almost no power consumption, and the sensor is small in size and more convenient for wearable design. The body temperature sensor was selected from Meixin MAX30205 sensor, the device and Meixin DL1624 pair shown in Table 3. It can be seen from the table that the operating current of the MAX30205 is 650uA smaller than the operating current of the DL1624, the magnitude of the off-current of the two is almost equal, but the body temperature measurement accuracy of the MAX30205 is higher. In order to identify the state of the human body, a nine-axis sensor and a barometer are introduced into the system to judge whether the human body moves, the speed of the movement, whether the human body moves upstairs or downstairs and the like. The nine axis sensor selects MPU9250, the device and BNO055 pair as shown in table 4. As can be seen from table 4, the MPU9250 has a smaller ratio of operating current to sleep current, and has a lower power consumption characteristic. The LPS22HB was selected for the barometer comparison as shown in table 5. It can be seen from table 5 that the working current of LPS22HB is relatively small compared to MS5611 and that the working current is 20 μ a smaller than BMP180, although the sleep current of LPS22HB is larger than BMP180, compared to BMP 180. And therefore the LPS22HB has a lower power consumption characteristic in comparison. The MCU selects an STM32WB series, adopts a dual-core architecture, is in charge of various user applications based on a main processor of an M4 core, supports a batch processing mode, can reduce power consumption under the condition that a flash memory and a CPU are closed, and simultaneously completes corresponding work. When the M0+ core processes related tasks of the BLE protocol stack, the application processor M4 core is in a sleep state, and the power consumption can be reduced to 1.8 muA, but the wake-up time of 5 mus is kept. When two cores run simultaneously, the current consumption is not more than 53 muA/MHz. The low power consumption characteristic of the series of MCUs can obviously reduce the power consumption of the system. The comparison between the MCU and the CC2640R2F checklist of TI company in table 6 shows that the STM32WB MCU has better low power consumption characteristics while the operating dominant frequency is high, and the adopted BLE protocol stack is the BLE5.0 version.
TABLE 1 two blood oxygen pulse sensor comparison tables
| Sensor with a sensor element | Power of | Off current | Volume of |
| MAX30101 | Less than 1mW | 0.7μA | 5.6mm*3.3mm1.55mm |
| DCM07 | 2mW | 10μA | 16.6mm*12.6mm*1.5mm |
TABLE 2 comparison table for three heart rate and electrocardio-sensors
| Sensor with a sensor element | Power of | Operating current | Volume of |
| MAX30001 | 85μW | 76 to 120 μ A | 2.7mm*2.9mm*2mm |
| BMD101 | 2.64mW | 0.8mA | 3mm*3mm*0.6mm |
| PLUS101 | 2.97mW | 0.9mA | 5mm*10mm*2.45mm |
TABLE 3 two kinds of body temperature sensor contrast table
| Sensor with a sensor element | Operating current | Off current | Accuracy of measurement | Size of sensor |
| DL1624 | 1250μA | 3μA | 0.5℃ | 2mm*3mm |
| MAX30205 | 600μA | 3.5μA | 0.1℃ | 3mm*3mm |
TABLE 4 COMPARATIVE TABLE FOR TWO NONINE-AXIS SENSORS
| Sensor with a sensor element | Operating current | Quiescent current |
| MPU9250 | 3.7mA | 8μA |
| BNO055 | 12.3mA | 0.04mA |
TABLE 5 barometer COMPARATIVE TABLE
| Sensor with a sensor element | Operating current | Quiescent current |
| LPS22HB | 12μA | 1μA |
| BMP180 | 32μA | 0.1μA |
| MS5611 | 12.5μA | 1μA |
TABLE 6 two MCU comparison tables
| MCU | Operating current | Off mode current | Dominant frequency | BLE protocol version |
| STM32WB | <53μA/MHz | <50nA | 64MHz | 5.0 |
| CC2640R2F | 61μA/MHz | 100nA | 48MHz | 5.0 |
The blood oxygen pulse sensor adopts MAX30101, the heart rate electrocardio sensor adopts MAX30001, the body temperature sensor adopts MAX30205, and the MCU selects STM32WB series wireless dual-core MCU of ST company. The selection devices have low power consumption characteristics, so that the system has low power consumption characteristics on hardware circuits.
The selected pulse blood oxygen sensor MAX30101 has an internal LED pulse width of 215us, a working current of 600 muA to 1000 muA when the sampling rate is 50sps, and a current of only 0.7 muA in an off mode; the working current of the body temperature sensor MAX30205 is only 600 muA, and the current in the off mode is 3.5 muA; when the heart rate electrocardio sensor works, the power consumption is only 85 muW, and the working current is 76 muA to 120 muA; the current in the off mode is 0.6 muA; the working current of the nine-axis sensor mpu9250 is only 3.5mA, and the current is 8 muA in the sleep mode; the barometer LPS22HB operated at a current of 12 μ A and in sleep mode at a current of 1 μ A. The STM32WB series of MCUs are selected, the MCU adopts a dual-core architecture, a main processor based on an M4 core is responsible for various user applications, a batch processing mode is supported, the flash memory and the CPU can reduce power consumption under a closing condition, and corresponding work is completed at the same time. When the M0+ core processes related tasks of the BLE protocol stack, the application processor M4 core is in a sleep state, and the power consumption can be reduced to 1.8 muA, but the wake-up time of 5 mus is kept. When two cores run simultaneously, the power consumption is only 117 muA/MHz. The low power consumption characteristic of the series of MCUs can obviously reduce the power consumption of the system. The selected low power devices not only have low power consumption characteristics at idle times in the circuit, but the total sensor current is only 13.8 muA. The circuit also has lower power consumption in normal operation, and the total sensor current is 4988 muA to 5532 muA.
In addition to reducing power consumption during hardware circuit design, software aspects are also employed to reduce system power consumption, as shown in fig. 2. The software aspect is specifically realized by adopting a BLE5.0 protocol and optimizing a software scheduling strategy. The BLE5.0 protocol has lower power consumption characteristics compared with the BLE4.2 protocol, and the throughput and data transmission rate pair of BLE5.0 and BLE4.0/4.1/4/2 are shown in Table 7. As can be seen from the comparison in table 5, the BLE5.0 protocol can reduce the transmit function on-time compared to the BLE4.2 protocol in the case of transmitting the same amount of data, thereby reducing the system power consumption. And under the condition of the same transmission power, the transmission distance is improved by 4 times by adopting the BLE5.0 protocol compared with the distance of the BLE4.2 protocol. The software scheduling strategy reduces the power consumption of work by scheduling the work of each sensor and adjusting the normal operation mode of the MCU kernel, thereby saving a large amount of electric power which does not need to be consumed. The STM32WB family of MCUs supports multiple low power modes. The current consumption of the MCU in STOP mode is only 2.1 mua. In this mode, the M4 core stops working, the M0+ core and the radio frequency system still work normally, and the radio frequency event can wake up the M4 core.
TABLE 7 BLE5.0 protocol vs. BLE4.0/4.1/4.2 protocol
The BLE5.0 protocol is applied to the system in both the aspects of wearable network construction and data transmission. Wrist circuit, chest circuit, gateway circuit and mobile terminal pass through the bluetooth and constitute and dress the network in the system, and the bluetooth adopts BLE5.0 agreement. According to the GATT (generic attribute Profile) layer of the BLE5.0 protocol, in a networked connection of a wrist circuit, a chest circuit, and a gateway circuit, the wrist circuit and the chest circuit are regarded as slaves (Server sides), and the wrist is regarded as Server1 and the chest is regarded as Server2 in the system. The gateway circuit serves as a host (Client terminal). In the networking connection between the gateway circuit and the mobile terminal, the gateway circuit is used as a slave (Server side) and the mobile terminal is used as a master (Client side), and the network structure diagram is shown in fig. 3. When the wrist circuit, the chest circuit and the gateway circuit carry out data transmission, firstly, a sending function is called from a machine end (a Server1 and a Server2) at an application layer to send a data packet to a BLE protocol stack, and the BLE protocol stack fills the data packet and a data length into a Payload of a Bluetooth data packet and packages the data packet into a Bluetooth data packet conforming to a BLE5.0 protocol. The BLE protocol stack uses the "Notification" feature to send bluetooth packets to the gateway circuit (Client). And after receiving the data, a BLE protocol stack of the gateway circuit analyzes the received Bluetooth data packet according to a BLE5.0 protocol and then sends the Bluetooth data packet to an application layer for analysis and processing. When the gateway circuit needs to send data to the slave end (Server1 and Server2), the BLE protocol stack of the gateway circuit encapsulates the sent data packets into data packets conforming to the BLE5.0 protocol, and then transmits the data to the BLE protocol stack of the slave end through the "Write" characteristic. After receiving the data, the BEL protocol stack of the slave machine analyzes the data according to the BLE5.0 protocol and sends the data to an application layer for processing. The data transmission between the gateway circuit and the mobile terminal is also transmitted according to the flow.
The invention provides a monitoring method of a multi-parameter vital sign monitoring system, which comprises the following steps:
s1, wearing the multi-parameter vital sign monitoring system;
s2, acquiring the motion parameters of the user to be monitored according to the chest circuit and the wrist circuit; the motion parameters comprise attitude and air pressure;
s3, determining the motion state of the user to be monitored according to the motion parameters;
as shown in fig. 5, S3 specifically includes:
the state of the human body is judged through the nine-axis sensor and the barometer, and the working interval time t of the sensor is dynamically adjusted according to the state of the human body, so that the system has the characteristic of low power consumption under various application scenarios. Because the change range of the vital sign parameters of the human body is large when the human body is in motion, and the heart burden is increased under the motion condition, the working interval t of the sensor is reduced to observe the vital sign of the human body, so that the human body sign can prompt and early warn in time when being abnormal under the motion state. The gateway circuit receives the data of MPU9250 and LPS22HB of the chest circuit, determines the motion state, feeds back the data to the chest circuit and the wrist circuit according to the different states of the human body, and determines the state of the human body as shown in the flowchart of fig. 5. Whether the human body is static, whether the human body moves and the speed of the human body can be judged according to the MPU9250 data transmitted by the chest circuit, and whether the human body moves upstairs or downstairs can be judged according to the barometer data transmitted by the chest circuit. The working interval duration t of the sensor is adjusted according to different motion states, when the system judges that the human body is in a static state, the working interval is t1, the walking state is t2, the fast walking state is t3, and the running state is t 4. Wherein t1> t2> t3> t 4. The up-and-down movement can also adopt the intervals of t2, t3 and t4 according to the speed of the height change of the human body. Different time intervals are sent to the wrist circuit and the chest circuit, and the circuit will adjust the interval time t according to the received time interval t, and the flow chart is shown in fig. 6. The wrist circuit and the chest circuit can reduce the power consumption of the sensor and the power consumption of the MCU kernel in the interval time under each scene by dynamically adjusting the interval time t, so that the power consumption of the system is reduced.
S4, adjusting the monitoring interval time of the chest circuit and the wrist circuit according to the motion state;
s5, controlling the working modes of the chest circuit and the wrist circuit according to the monitoring interval time; the working modes comprise a normal running mode, a turn-off mode, an idle mode, a sleep mode and a STOP mode;
s6, when the chest circuit and the wrist circuit are in the monitoring interval time, the pulse blood oxygen sensor in the chest circuit and the body temperature sensor in the chest circuit are in the off mode; a heart rate electrocardio sensor in the chest circuit is in an idle mode; while the nine-axis sensor and the barometric sensor in the chest circuit and the wrist circuit are in a sleep mode; meanwhile, the first micro control unit, the second micro control unit and the gateway circuit enter a STOP mode;
s7, when the chest circuit and the wrist circuit are monitored, the first micro control unit and the second micro control unit enter a normal operation mode, pack the collected physical sign data into data frames and send the data frames to the gateway circuit, and then enter a STOP mode again; and the gateway circuit receives the sign data, enters a normal running mode from the STOP mode, transmits the sign data to the mobile terminal and then enters the STOP mode again.
The invention reduces the total power consumption of the system from two aspects of hardware circuit design and software resource scheduling. The hardware circuit design firstly adopts low-power consumption devices to enable the circuit to have low-power consumption characteristics, and in the circuit, the total current consumption of all the sensors at the idle time is 13.8 muA, and the current consumption is 4988 muA to 5532 muA in normal operation. And then reasonably designed software scheduling is carried out on the basis of the BLE5.0 protocol to control the operation mode of the chip kernel and the working time of the sensor, and the idle time is distributed to further reduce the power consumption of the system. Thereby meeting the purpose of low power consumption design. The system judges the state of the human body according to the nine-axis sensor and the barometer, and dynamically adjusts the working time interval t of the sensor according to the state of the human body, so that the system has the characteristic of low power consumption in various states of the human body.
Said wearing of said multi-parameter vital signs monitoring system, previously comprising:
and the wrist circuit, the chest circuit, the gateway circuit and the mobile terminal form a wearable network.
Said wearing of said multi-parameter vital signs monitoring system thereafter further comprises:
and judging whether the multi-parameter vital sign monitoring system is worn completely.
Judge whether wearing of a multi-parameter vital sign monitoring system is accomplished, specifically include:
the temperature sensor of the chest circuit and the blood oxygen pulse sensor of the wrist circuit are in normal working mode;
acquiring temperature data acquired by a temperature sensor and a pulse blood oxygen sensor;
judging whether the temperature data is in a temperature range or not;
if the monitoring system is in the normal operation mode, the wearing of the multi-parameter vital sign monitoring system is finished;
if not, no wearing is finished, and the multi-parameter vital sign monitoring system enters a standby mode. Further, the blood oxygen pulse measurement function of the MAX30101 is turned off, the MAX30001 is turned off, and the MPU9250 and the LPS22HB are put into a sleep mode, so that the power consumption of the sensor in the system standby mode is reduced.
Namely specifically:
the working mode of the temperature sensor MAX30101 is a normal operation mode; data in a temperature register having a MAX30101 sensor address of 0X1F in the wrist circuit is acquired, and whether the temperature is within a temperature range or not is determined.
As a specific embodiment, if the vital signs monitoring system is worn, after the system enters the working mode, the system enters the normal running mode, the system collects human body signs at an interval T1 within a time period T, and during the collection interval, the system enters the MAX30101, MAX30205, and MAX30001 into the off mode, and enters the MPU9250 and LPS22HB into the sleep mode, so as to reduce the working time of the sensor, and further reduce the power consumption of the sensor. Furthermore, because the body temperature is relatively stable relative to characteristics such as heart rate electrocardio, the body temperature sensor can acquire the body temperature t5> t1 at the interval of t5, and the power consumption of the system can be further reduced. After human body signs in the T time period are collected, processed human body sign data are sent to the gateway, the wrist collecting circuit and the chest collecting circuit enable the sensor to enter a turn-off mode or a sleep mode after the wrist collecting circuit and the chest collecting circuit send the data, and the MCU core enters a STOP mode to wait for being awakened next time. The gateway receives the data and then is awakened from the STOP mode, and the received data is sent to the mobile terminal and then enters the STOP mode to wait for being awakened next time.
As a specific embodiment, the monitoring method of the multi-parameter vital sign monitoring system of the present invention is scheduling of software resources, and the specific steps in scheduling of software resources are as follows, and a flowchart is shown in fig. 4:
the overall power consumption of the system is reduced from two aspects of hardware circuit design and software resource scheduling. The hardware circuit design firstly adopts low-power consumption devices to enable the circuit to have low-power consumption characteristics, and in the circuit, the total current consumption of all the sensors at the idle time is 13.8 muA, and the current consumption is 4988 muA to 5532 muA in normal operation. And then reasonably designed software scheduling is carried out on the basis of the BLE5.0 protocol to control the operation mode of the chip kernel and the working time of the sensor, and the idle time is distributed to further reduce the power consumption of the system. Thereby satisfying the purpose of low power consumption design. The system judges the state of the human body according to the nine-axis sensor and the barometer, and dynamically adjusts the working time interval t of the sensor according to the state of the human body, so that the system has the characteristic of low power consumption in various states of the human body.
Table 8 wrist part data packet
TABLE 9 thoracic acquisition part packet
Step five: the wrist circuit and the chest circuit enable the pulse blood oxygen sensor and the body temperature sensor to enter an off mode after data transmission, the heart rate electrocardio sensor to enter an idle mode, and the nine-axis sensor and the air pressure sensor to enter a sleep mode, so that power consumption of the sensors at the idle time is reduced. And then the MCU enters a Stop mode to reduce the power consumption of the MCU and waits for the next awakening. When the MAX30101 enters the shutdown mode, the highest position 1 of the register with the address of 0X09 can enter the shutdown mode, and the highest position 0 can exit the shutdown mode. Entering the shutdown mode at MAX30205 the shutdown mode is entered by placing the lowest bit 1 address 0X01 and exiting the shutdown mode at this bit 0. The MAX30001 is only required to be written with 0X000000 in the register with address 0X10 and 0X000000 in the register with address 0X 1D. When the nine-axis sensor enters the sleep mode, the 6 th bit position 1 of the register with the address of 0X6B is required to enter the sleep mode, and the position 0 is exited from the sleep mode. The LPS22HB may enter sleep mode by setting the 4 th bit, 5bit, and 6bit of the register with address 0X10 to 0.
The stationary measurement interval is set to 40s in the example. During this interval, the power pair ratios for the device in normal mode and off sleep mode are shown in table 10. It can be seen from table 10 that the power consumption of the device is greatly reduced in the off sleep mode, when the system works, the measurement interval time is set, the power consumption of the system can be effectively reduced when the sensor is in the off sleep mode in the interval time, and the longer the interval time is, the more effective the power consumption reduction effect is.
TABLE 10 Normal mode and OFF sleep mode Power comparison Table
| Sensor with a sensor element | Normal mode | Turning off sleep mode |
| MAX30101 | 1.98mW to 3.03mW | 2.31 μ W to 8.25 μ W |
| MAX30001 | 250.8 to 396 uW | 1.98μW |
| MPU9250 | 12.21mW | 26.4μW |
| LPS22HB | 39.6μW | 3.3μW |
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (5)
1. A multi-parameter vital sign monitoring system monitoring method is characterized by comprising the following steps:
wearing the multi-parameter vital sign monitoring system;
acquiring motion parameters of a user to be monitored according to the chest circuit and the wrist circuit; the motion parameters comprise attitude and air pressure; the wrist circuit includes: the device comprises a pulse blood oxygen sensor, an air pressure sensor, a nine-axis sensor and a first micro control unit; the pulse blood oxygen sensor, the air pressure sensor and the nine-axis sensor are all connected with the first micro control unit; the first micro control unit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol to perform data transmission; the chest circuit includes: the device comprises a heart rate electrocardio sensor, a nine-axis sensor, an air pressure sensor, a body temperature sensor and a second micro control unit; the heart rate electrocardio sensor, the nine-axis sensor, the air pressure sensor and the body temperature sensor are all connected with the second micro control unit; the second micro control unit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol for data transmission; the model of the heart rate electrocardio sensor is MAX 30001; the model of the nine-axis sensor is MPU 9250; the model of the air pressure sensor is LPS22 HB; the model of the body temperature sensor is MAX 30205; the model of the second micro control unit is STM32 WB; the model of the pulse blood oxygen sensor is MAX 30101; the model of the air pressure sensor is LPS22 HB; the model of the nine-axis sensor is MPU 9250; the model of the first micro control unit is STM32 WB;
determining the motion state of the user to be monitored according to the motion parameters;
adjusting a monitoring interval time of a chest circuit and a wrist circuit according to the motion state;
controlling the working modes of the chest circuit and the wrist circuit according to the monitoring interval time; the working modes comprise a normal running mode, a turn-off mode, an idle mode, a sleep mode and a STOP mode;
when the chest circuit and the wrist circuit are within the monitoring interval time, the pulse blood oxygen sensor in the chest circuit and the body temperature sensor in the chest circuit are in an off mode; a heart rate electrocardio sensor in the chest circuit is in an idle mode; while the nine-axis sensor and the barometric sensor in the chest circuit and the wrist circuit are in a sleep mode; simultaneously, the first micro control unit, the second micro control unit and the gateway circuit enter a STOP mode;
when the chest circuit and the wrist circuit are monitored, the first micro-control unit and the second micro-control unit enter a normal operation mode, pack the acquired physical sign data into data frames, send the data frames to the gateway circuit, and then enter a STOP mode again; and the gateway circuit receives the sign data, enters a normal running mode from the STOP mode, transmits the sign data to the mobile terminal and then enters the STOP mode again.
2. The multi-parameter vital signs monitoring system monitoring method of claim 1, wherein said wearing of said multi-parameter vital signs monitoring system further comprises:
and the wrist circuit, the chest circuit, the gateway circuit and the mobile terminal form a wearable network.
3. The method of claim 1, wherein said wearing of said multi-parameter vital signs monitoring system further comprises:
and judging whether the wearing of the multi-parameter vital sign monitoring system is finished.
4. The method for monitoring a multi-parameter vital sign monitoring system of claim 3, wherein determining whether the multi-parameter vital sign monitoring system is worn includes:
the temperature sensor of the chest circuit and the blood oxygen pulse sensor of the wrist circuit are in normal working mode;
acquiring temperature data acquired by a temperature sensor and a pulse blood oxygen sensor;
judging whether the temperature data is in a temperature range or not;
if the monitoring system is in the normal operation mode, the wearing of the multi-parameter vital sign monitoring system is completed;
if not, no wearing is finished, and the multi-parameter vital sign monitoring system enters a standby mode.
5. A multi-parameter vital signs monitoring system for implementing a multi-parameter vital signs monitoring system monitoring method of any one of claims 1-4; it is characterized by comprising: wrist circuit, chest circuit, gateway circuit and mobile terminal;
the wrist circuit and the chest circuit and the gateway circuit adopt Bluetooth based on BLE5.0 protocol for data transmission;
the gateway circuit and the mobile terminal adopt Bluetooth based on BLE5.0 protocol for data transmission;
the operation modes include a normal operation mode, an off mode, an idle mode, a sleep mode, and a STOP mode.
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