This study describes the development of a wireless and wearable ECG monitoring system with ultra-low power consumption. The system is mainly composed of a connection part of an ECG electrode sticker, an electrocardiogram collecting part, a data storage part, a Bluetooth main control unit, a charging module, a voltage regulator and a lithium battery. The low-power ECG acquisition chip ADS1292R and the ultra-low-power Bluetooth microcontroller nRF51822 together constitute the ECG signal acquisition and wireless data communication part. The collected ECG signals can be sent to the mobile APP through the Bluetooth function provided by the MCU, and can completly display and analysis to achieve low power system. After testing, the system power consumption is only (3.7 V×2.87 mA)10.619 mW, and if it is optimized, it can further reduce power consumption, therefore, the system design can have good applicability.
Electric Power Supplies ; Electrocardiography ; Equipment Design ; Monitoring, Physiologic/instrumentation* ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices ; Wireless Technology

In order to diagnose and evaluate the human spinal lesions through the paravertebral muscles, a paravertebral muscle monitoring system based on surface EMG signals was designed. The system used surface mount electrodes to obtain the surface myoelectric signal (sEMG) of paravertebral muscle. The signal was filtered and amplified by the conditioning circuit. The signal was collected by the microcontroller NRF52832 and was sent to the mobile APP. After the signal was preprocessed by the wavelet threshold denoising algorithm in APP, the time and frequency characteristics of the sEMG signal reflecting the functional state of the muscle were extracted. The calculated characteristic parameters was displayed in real time in the application interface. The experimental results show that the system meets the design requirements in analog signal acquisition, digital processing of signals and calculation of characteristic parameters. The system has certain application value.
Algorithms ; Computers ; Electrodes ; Electromyography ; instrumentation ; Humans ; Monitoring, Physiologic ; Muscle, Skeletal ; Signal Processing, Computer-Assisted

The existing fetal monitor is prone to false detection in the case of high maternal interference in the second stage of labor. With this background, the article designs and implements a combined maternal-fetal fetal heart monitoring system. The system obtains the Doppler signal of the abdominal fetal heart and the blood oxygen signal of the mother's finger, and estimates the maternal interference degree in the fetal heart rate Doppler signal according to the maximum correlation value between the maternal finger blood oxygen signal and the abdominal fetal heart Doppler signal, and switches the fetal heart rate extraction algorithm between the autocorrelation method suitable for lower interference and improved template method suitable for higher interference according to the maternal interference degree. The accuracy of our method is 9.2% which is higher than that of the improved template matching method and 6.1% higher than that of the autocorrelation method.
Algorithms ; Electrocardiography ; Female ; Fetal Monitoring ; instrumentation ; Fetus ; Heart Rate ; Heart Rate, Fetal ; Humans ; Pregnancy ; Signal Processing, Computer-Assisted

The present circuit was designed to apply to human tissue impedance tuning and matching device in ultra-short wave treatment equipment. In order to judge if the optimum status of circuit parameter between energy emitter circuit and accepter circuit is in well syntony, we designed a high frequency envelope detect circuit to coordinate with automatic adjust device of accepter circuit, which would achieve the function of human tissue impedance matching and tuning. Using the sampling coil to receive the signal of amplitude-modulated wave, we compared the voltage signal of envelope detect circuit with electric current of energy emitter circuit. The result of experimental study was that the signal, which was transformed by the envelope detect circuit, was stable and could be recognized by low speed Analog to Digital Converter (ADC) and was proportional to the electric current signal of energy emitter circuit. It could be concluded that the voltage, transformed by envelope detect circuit can mirror the real circuit state of syntony and realize the function of human tissue impedance collecting.
Diathermy ; instrumentation ; Electric Impedance ; Humans ; Radio Waves ; Signal Processing, Computer-Assisted

Physiological monitoring devices in modern clinical area are basically used electrodes or sensors directly touching the surface of human subject body, which will increase physiological and psychological load of the subjects. In order to realize non-contact monitoring of respiration and heartbeat, firstly, the micro bioradar was used to detect human body motion signal. Then, the respiration signal and heartbeat signal was extracted from the body-motion signal by using signal and conditioning circuits, digital filter and signal processing. Finally, the results of heart rate and breathing rate was wirelessly transmitted. The experimental results showed that the device for non-contact monitoring of respiration and heartbeat waveforms has advantages of small volume, low power consumption, which can realize the monitoring of physiological parameters in real time.
Heart Rate ; Humans ; Monitoring, Physiologic ; instrumentation ; Respiration ; Signal Processing, Computer-Assisted

A design of ECG monitor was presented in this paper. It is based on the latest MCU and BLE4.0 technologies and can interact with multi-platform smart devices with extra low power consumption. Besides, a clinical expansion part can realize functions including displaying the real-time ECG and heart rate curve, reading abnormal ECG signals stored in the monitor, and setting alarm threshold. These functions are suitable for follow-up use.
Electrocardiography ; instrumentation ; Equipment Design ; Heart Rate ; Humans ; Signal Processing, Computer-Assisted

Heart disease is the major disease that threaten human health. ECG is an important tool for the diagnosis of cardiac disease. As traditional ECG measurement devices have many disadvantages, a non-contact ECG measurement system was designed. With the non-contact electrode based on capacitive coupling, the signals were collected and then they were amplified and filtered. The conditioned analog signal was converted to digital data which was sent to the mobile terminal through bluetooth. Finally, the ECG data was analyzed to extract the key ECG parameters. The results showed that the precise ECG signals can be got with the non-contact electrode and the key ECG parameters can be acquired accurately.
Electrocardiography, Ambulatory ; instrumentation ; Electrodes ; Equipment Design ; Signal Processing, Computer-Assisted

In order to meet the requirements of the multi-physiological signal measurement of the 3D-TV health assessment, try to find the suitable biological acquisition chips and design the hardware system which can detect different physiological signals in real time. The systems mainly uses ARM11/S3C6410 microcontroller to control the EEG/EOG acquisition chip RHA2116 and the ECG acquisition chip ADS1298, and then the microcontroller transfer the data collected by the chips to the PC software by the USB port which can display and save the experimental data in real time, then use the Matlab software for further processing of the data, finally make a final health assessment. In the meantime, for the different varieties in the different brain regions of watching 3D-TV, developed the special brain electrode placement and the experimental data processing methods, then effectively disposed the multi-signal data in the multilevel.
Computer Simulation ; Equipment Design ; Microcomputers ; Physiological Phenomena ; Signal Processing, Computer-Assisted ; instrumentation ; Software

A rapid fetal ECG signal acquisition system is designed, which includes three modules: a front-end signal acquisition module, a micro control module and a PC software application module. The first two modules are accomplished through the ADS1294 and the STM32F103 chips, respectively, and the third one is developed in VC++ platform. By using the FT245RL chip, the proposed system implements the serial-parallel conversion communication between ARM and PC, improving the data transmission rate largely. Also, it has a simple structure, with low power consumption and high precision. Furthermore, it can collect fetal ECG signals from mother's abdominal wall and convert them into the 24-bit digital signals.
Electrocardiography ; instrumentation ; Fetal Monitoring ; instrumentation ; Humans ; Signal Processing, Computer-Assisted ; Software

In accordance with the bulky volume and not easy to carry of pain detection equipment limitations, designs a kind of portable high-precision dolorimeter based on STM32. Using the high precision pressure sensor pressure contact as the main body to make the pressure pain signals. Through the signal preprocess of the amplifying circuit and the filter circuit, to eliminate the system noise effectively. Use the TFT-LCD to display the real-time measured pressure value, and establish a pressure pain threshold of the object. The USB interface transmits the data to PC to store, and it's beneficial to the diagnosis and treatment of subsequent.
Equipment Design ; Humans ; Pain Measurement ; instrumentation ; Pressure ; Signal Processing, Computer-Assisted ; instrumentation