Integrated gait, distance, relative weight and brain wave synchronous sensing analysis system based on Internet of Things

Abstract

The invention discloses an integrated gait, distance, relative weight and brain wave synchronous sensing analysis system based on the Internet of Things. The system comprises a sensor, an amplification and conversion circuit processing unit, a single chip computer, a wireless communication control unit and an Internet data server. The internet data server comprises a processor suitable for realizing each instruction and a storage device suitable for storing a plurality of instructions. The processor is used for processing received data sent by each mobile terminal in real time, including eye movement electric waves, frontal muscle electric waves, acceleration signals during walking and pressure waveform data, generating a data analysis report, and transmitting the data analysis report to a doctor center workstation in an electronic mode. According to the invention, the problem of automatically analyzing and calculating the walking gait, the distance, the relative weight and the brain wave synchronization characteristic of the human body by using the Internet of Things cloud under various environment states can be solved by using the wireless mobile Internet technology.

Description

technical field [0001] The present invention relates to a wearable system that can automatically calculate walking gait, distance, relative weight and brain wave characteristics by using multi-channel wireless mobile Internet technology under various environmental conditions. Background technique [0002] In today's era, Internet technology and communication technology are one of the supporting forces leading the progress of science and technology. Combined with clinical medical services, the integrated exchange of medical information is realized by means of wireless communication on the Internet platform, and a new medical service model is created. Using public communication and Internet service platforms to realize a new model of medical services, and achieving stable signal transmission on unstable mobile Internet can save a lot of investment in creating this service and reduce the cost of users, and then this medical service can be implemented The service is extended to ...

AI Technical Summary

Problems solved by technology

At present, the wearable walking distance, brain coordination and relative weight monitoring system for the elderly is in a blank state. The relevant research does not involve the characteristic performance of brain waves during walking. A wearable sensor and Internet cloud computing and Internet cloud computing that can meet these requirements are invented. The real-time monitoring and analysis system of big data has great social significance and the value of medical care and smart elderly care

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