Neck recovering training system and training method based on band sensor

Abstract

The invention discloses a neck recovering training system based on a band sensor. The neck recovering training system comprises the band sensor, a massaging module, a cloud server, a mobile phone terminal and a computer terminal, wherein the band sensor comprises a myoelectricity sensor module, a photoelectric blood oxygen sensor module, a storing module, a transmitting module, a control module and a receiver module which are sequentially connected; the myoelectricity sensor module is used for detecting the exhaustion degree of neck muscles; the photoelectric blood oxygen sensor module is usedfor detecting blood pressure, heart rate and psychological pressure; the storing module is used for storing data; the transmitting module is used for transmitting data; the control module is used formaking a judgment; the receiver module is used for receiving data; the transmitting module is connected with the mobile phone terminal through a gateway, bluetooth and the cloud server; data is transmitted to the cloud server through an LTCP agreement; a user can monitor own health information through the mobile phone terminal and the computer terminal and start the massaging module in a long-distance manner; the neck recovering training system can intelligently start air cushion massaging and electrode slice acupuncture point massaging; and neck data received by the cloud server is subjectedto artificial neural network algorithm analysis, and an intelligent system for scientific recovering training is established.

Description

technical field [0001] The invention relates to the technical field of sensor information processing and health identification, combining sensor-based intelligent systems with traditional massage methods, especially a combination of two sensor data modeling and multi-channel intelligent control transmission, human-computer interaction based on multi- A health monitoring and rehabilitation visualization system and method based on a wearable belt sensor fusion. Background technique [0002] Since the 21st century, sensor technology and algorithmic pattern recognition have flourished, and more and more rehabilitation training equipment uses sensors to collect human health data for intelligent mitigation and rehabilitation training. [0003] Modern people, especially white-collar workers, suffer from cervical spine discomfort or even disease more or less due to sedentary work. Therefore, cervical spine pain has become a major resistance to modern white-collar work. However, the...

AI Technical Summary

Problems solved by technology

However, the massage equipment in the market all use mechanical slapping muscles to relieve cervical pain. However, the slapping mode does not conform to human mechanics, and it is difficult to perform personalized massage according to the real-time health status of the neck. At the same time, the entire rehabilitation training process has always been repetitive. Lack of continuity and stability

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