Health Monitoring of Human Multiple Physiological Parameters Based on Wireless Remote Medical System

Abstract

Telemedicine, as a new technical means and medical model, can truly realize the sharing and monitoring of telemedicine information, and ultimately ensure that everyone has equal access to medical and health resources. Based on the research on the status of telemedicine application and wireless communication technology, this paper proposes a multi-physical parameter wireless telemedicine health monitoring system solution, and analyzes the overall structure and functional requirements of the system. Human physiological parameters of the wireless remote medical system for health monitoring include body temperature, respiration, blood oxygen saturation, pulse, blood pressure, and electrocardiogram. In this paper, fabric electrodes are used to extract human bioimpedance signals, discrete Fourier transform algorithm is used to detect human respiratory signals, and respiratory rate is detected based on dynamic differential threshold peak detection technology. The reflection type photoelectric sensor is used to realize the reflection of the human pulse signal, and the continuous measurement of the cuff-free blood pressure based on the pulse wave conduction time is combined with the ECG (Electrocardiogram) data. A self-learning threshold algorithm based on near-infrared photo plethysmo graphy signal trough detection is designed on the reflective blood oxygen saturation calculation algorithm. The difference threshold method is used to extract the QRS band feature points. We tested the overall operation of the system. The results show that the collected human physiological signal data is accurate. After a series of tests, the validity and reliability of the collected physiological signals have been proven. INDEX TERMS Telemedicine, health monitoring, physiological signals, signal processing.

Health Index Monitoring of Sports Injury Rehabilitation Training Based on Wearable Sensors

“…When the wearer is in a standing posture, the movement intention is judged by the ground force distribution and the deviation of the center of gravity. The wearer extends the left crutch/right crutch forward, while the upper torso tilts to the left/right front, indicating that the wearer wishes to step forward with the right/left leg [ 19 , 20 ]. Determine the movement intention from the angle of the torso.…”

Effect of Cyclical Bending and Rubbing on the Characteristic Impedance of Textile Signal Lines

“…The TSL consists of a signal path (1) (Figure 1) and two ground paths (3) made from electroconductive fabric. The signal path and ground paths are placed on opposite side of the substrate (2). The substrate of the line (2) was made from non-conducting fabric.…”

“…pneumatic actuator (4). The tested sample (1) attached to the movable table ( 3) is rubbed with a rubbing finger (2). A white CO lawn (5 cm × 5 cm) is mounted on the rubbing finger (2).…”

“…The tested sample (1) attached to the movable table ( 3) is rubbed with a rubbing finger (2). A white CO lawn (5 cm × 5 cm) is mounted on the rubbing finger (2). The diameter of the rubbing finger is 16.5 mm.…”

“…This extended functionality can be obtained, among other ways, by placing electronic circuits in the textiles. These textiles can perform various functions, e.g., monitoring human physiological parameters [1][2][3][4][5][6][7][8][9], ensuring communication, exchanging information [10,11], etc. For proper operation of such systems, each of its modules should be electrically connected to the other.…”