A Novel Method for Extracting Subtle Tremor Signal from Human Body

Abstract

Some common diseases (such as Parkinson's disease, stroke and epilepsy) could cause spontaneous tremors in patients, and doctors could make a preliminary diagnosis based on these tremor in different parts of the patient's body. In order to be more accurate to automatically obtain the tremor signal, we proposed a Novel method for extracting subtle tremor signal from human body. The scope of traditional video tremor extraction usually contained the whole video. In order to extract tremor signals of different body parts of patients separately, we adopted OpenPose to automatically divide different body parts, so as to obtain more detailed video of body parts. Due to some patients' tremor was not obvious, so we used Eulerian video magnification method to amplify the non-obvious tremor and then extracted the tremor signal from the amplified video. To obtain a better tremor signal, we used Butterworth band-pass filter to remove the noise from the initial signal. The experimental results showed that our method can automatically obtain the tremor signal of different body parts of the patient, and the tremor signal was relatively accurate.