With the further development of Internet technology, wireless communication technology and biosensor technology, wearable health monitoring and early warning systems for patients in hospitals, homes and other environments have become the focus of researchers at home and abroad.
This paper designs a wearable pulse detection system using Internet technology to complete real-time remote monitoring of the patient's pulse beat. The patient only needs to wear the pulse monitor on the finger, and the pulse beat waveform is uploaded to the server in real time. The doctor and the patient can log in to the server through the computer or mobile phone to check the pulse condition, and the server will treat the patient with abnormal pulse signal. An alarm will be issued to facilitate the doctor to carry out special treatment work. After experimental testing: the system has the characteristics of stable performance, convenient wear, low cost and wide application prospects.
1, the overall designThe system architecture is shown in Figure 1, which consists of two parts: the hardware system and the server. The hardware system mainly includes a sensor module, a WiFi module, a power module, and a control module. The pulse signal is measured by the pulse sensor, and the pulse signal is filtered, amplified, and sampled by the STM32 microprocessor to obtain a more accurate human pulse signal. The sampled signal is transmitted to the server via WiFi. The server is a real-time display of a pulse signal written in the PHP programming language, which can be accessed via a computer or mobile phone.
Figure 1 overall system architecture
2, system hardware design 2.1, control systemIntegrated chip price, power consumption, function and other factors, the STM32F103 microcontroller is selected to meet the design requirements of the control system. In addition, STM32 has stable and reliable performance, low power consumption and high cost performance. It is very suitable for occasions where the amount of data processing is small and it is necessary to control multiple peripheral devices.
The STM32F103 microcontroller is powered by a 3.3V low-voltage supply, operates at 72MHz, operates over a temperature range of -40 to 105°C, and operates at very low voltages (2 to 3.6V). A range of power-saving modes guarantee low power consumption. Application requirements.
2.2, pulse sensorThe sensor uses a photoelectric reflective analog sensor consisting of an LED green light emitting end and an optical receiver. According to the pulse beat, the blood concentration is different from the principle of green light transmission, the green light passes through the finger, the earlobe, etc., so that the optical receiver collects the pulse beat data and then filters and amplifies the analog voltage signal.
Since the pulse of the human body is usually 50-200 times/min, the corresponding frequency range is between 0.83 and 3.33 Hz, and the amplitude is generally at the level of millivolts (mV). Therefore, the electrical signal collected and converted by infrared detection is obtained. The frequency is very low. In order to simulate the signal due to external high-frequency signal interference and the detection result is wrong, the signal must first be low-pass filtered to filter out most of the high-frequency interference. After the optical receiver, an amplifier composed of an op amp MCP6001 is used to amplify the signal by 330 times, and a voltage dividing resistor is used to set the DC bias voltage to 1/2 of the power supply voltage, so that the amplified signal can be well received. AD module acquisition.
2.3, WiFi moduleThe remote monitoring system uses a wireless access node (AP) as an access point to quickly upload the pulse data of the detected person to the server to observe the pulse condition in real time. The system uses the ESP8266WiFi module.
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