Identification method for essential tremor disease based on sensing platform of wireless body area network

Abstract

The invention belongs to the technical field of computer science, wireless body area networks and life health and discloses an identification method for an essential tremor disease based on a sensing platform of a wireless body area network. The identification method comprises the following steps: using body actions of patients sensed by Wi-Fi (Wireless Fidelity) in an actual path, namely scattering, reflecting and multipath effects of signals and actual information of environment in the finger-nose experimental process as data for collecting by combining with the wireless body area network; carrying out integrated processing on acquired data, extracting two characteristic values, namely amplitude and phase of channel state information (CSI) of the data, and quantitatively identifying the essential tremor disease from two aspects. The invention provides more intelligent health monitoring services for people, and related references about the essential tremor disease are from medical field; the disease can be identified according to a characteristic pattern of the amplitude and the phase of the CSI by experimental design, data collection, processing and analysis, and reliable service is provided for the life health.

Description

Technical field [0001] The invention belongs to the technical fields of computer science, wireless body area network and life and health, and in particular relates to a primary tremor disease identification method based on a wireless body area network sensing platform. Background technique [0002] With the continuous development of science and technology and the continuous improvement of people's requirements for the quality of life, the wireless body area network that serves the health and quality of human life has attracted great attention and research from researchers. The so-called wireless body area network (Wireless Body Area Network, WBAN), its purpose is to take the human body as the center, without carrying any electronic equipment, the line of sight or non-line of sight path caused by the human body in the process of wireless networking With the weak fluctuation of the upper signal, the receiving end obtains the real-time path gain data of body movements or posture cha...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current identification methods include two mainstream methods of electromyography identification and empirical identification. Among them, the needle motor needs to be inserted into the muscle during the electromyography examination, which belongs to minimally invasive detection. It must be painful, and the patient's mental state is likely to affect the test results; on the other hand, the judgment and identification method based on experience is to identify whether the patient has essential tremor disease by observing the patient's clinical tremor symptoms

This method is not accurate because there are many diagnostic criteria for essential tremor and the differences are large, and it is easy to misdiagnose or miss diagnosis.

Images