Medical parameter extraction method of sports injury based on sensor network

Gong, Yi; García‐Díaz, Vicente

doi:10.1007/s11036-022-02023-4

Cited by 2 publications

(1 citation statement)

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“…The wireless acceleration sensor network node is composed mainly of five components, namely the power supply system, the RF module, the high-performance processor, the low-power controller, and the sensor (Gong & García-Díaz, 2022). Simple peripheral circuit and analog output can be easily combined with microcontroller (Zhu et al, 2014).…”

Section: Hardware Function Design Of the Physical Training Monitoring...mentioning

confidence: 99%

Modeling of Sports Training Simulation Based on Energy Harvesting in Wireless Sensor Networks

Gong,

2024

International Journal of Distributed Systems and Technologies

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For patients with limb motor dysfunction, the effect of physical exercise is directly related to their future quality of life. This article combines the physical training plan of rehabilitation therapists with the training of rehabilitation robots, which can effectively improve the training performance of existing lower limb rehabilitation robots. Therefore, a teaching and training method and a wireless data acquisition system based on energy acquisition wireless network sensor are proposed. Based on wireless wearable technology, wireless network sensors, PCs and electronic devices are used to monitor the activity information of human walking and standing in real time, and the physical fitness is tested by means of mean, variance, and standard deviation. Through the analysis of rehabilitation health, this article consists of two parts: power module and physical exercise. Finally, experiments show that the accuracy of wireless network sensors based on SVM algorithm is the most accurate under physical training. It provides a good means for wireless body area network technology.

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Section: Hardware Function Design Of the Physical Training Monitoring...mentioning

confidence: 99%