Hand tremor detection method

Abstract

The invention discloses a hand tremor detection method. The hand tremor detection method is characterized in that hand tremor detection includes finger tremor detection, wrist tremor detection and arm tremor detection; the hand tremor detection is completed through a hand tremor detection system, and the hand tremor detection system comprises a hand tremor detection module which is composed of a handwriting input module, a handwritten data acquisition module, a handwritten data storage module and a handwritten data processing module. The hand tremor detection method includes the steps: firstly, executing hand tremor detection drawing activities through the handwriting input module, secondly, acquiring handwritten data generated from the hand tremor detection drawing activities executed by a detected person through the handwritten data acquisition module, and finally, performing hand tremor detection index calculation through the handwritten data processing module. The hand tremor detection method can achieve more comprehensive and meticulous quantitative hand tremor detection and is simple and feasible.

Description

technical field [0001] The invention relates to a hand tremor detection method, which is used for quantitative detection of tremors in fingers, wrists and arms, and assists clinical diagnosis, curative effect evaluation and condition monitoring of tremors. Background technique [0002] Tremor is an involuntary rhythmic and alternating swinging movement caused by the alternating contraction of antagonistic muscle groups. It is common in Parkinson's disease, senile tremor, essential tremor and other diseases. The upper limbs of the human body are frequent sites of tremors. Tremors hinder the fine motor skills of patients and affect daily activities such as writing and eating. Evaluation is important. [0003] At present, most of the clinical evaluation methods for tremor are based on questionnaires, and professional doctors score the tremor amplitude according to the evaluation scale, which is closely related to the clinical experience of doctors, and inevitably brings subjec...

AI Technical Summary

Problems solved by technology

This tremor detection method based on the digital tablet realizes the analysis of the graphic information and kinematic information of the drawing, but only analyzing the kinematic characteristics of the tremor is not enough to fully characterize the tremor. In this paper, the pressure peak frequency and other characteristics are analyzed. Preliminary discussion is also limited to the level of global features, not detailed

[0008] The tremor detection method based on drawing activities provides a way to quantitatively measure hand tremors, but because it only analyzes the static drawing results, or analyzes the kinematic characteristics displayed during the drawing process, the tremor information provided is not comprehensive. , the analysis of tremor force characteristics is limited to the level of global features, and the index provided is a measure of the tremor phenomenon produced by the comprehensive action of various parts of the hand, which is not conducive to the separate detection of finger, wrist and arm tremors

[0009] At the same time, due to the lack of an effective method to completely cure tremor, medical treatment can only relieve the patient's tremor to a certain extent. Therefore, it is necessary to track and judge the therapeutic effect clinically. Treatment provides effective means of assessing

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