Design of Wireless Motion Sensor Nodes based on the Kalman Filter Algorithm

Background In recent years, wireless sensor network technology has been the center of attention in the international community. It has been a key element in e-health to monitor bodies. This technology enables new applications in different domains, including medical, physical training, etc. Methods Some sensors in WSN (Wireless Sensor Nodes) capture physiological data such as temperature, heartbeat and moving distance. The ECG signal is obtained by an analog front-end chip ADS1292 and processed by an adaptive Kalman filter algorithm. The sensor LMT70 is used to gather the body temperature; the acceleration sensor MPU6050 is used to detect, capture, recognize and identify other body gestures and motions data and the STM32F103C8 microprocessor is used as the kernel control module. WSN sensor nodes provide wireless monitoring due to transceiver module NRF24L01for anybody, anywhere and anytime. Results Each measurement result can meet physiological index demands. Conclusion The system can be used to avoid sports accidents and injuries and to plan for future training and realized in LAB conveniently owing to the high cost-performance ratio.