帕金森震颤与原发性震颤的计算机辅助诊断方法综述

doi:10.11896/j.issn.1002-137X.2019.07.004

Abstract

Abstract: The diagnosis of Parkinson’s tremor and essential tremor has been a clinical problem,and proper diagnosis is of vital importance for the treatment and rehabilitation of patients.With the development of sensor technology and artificial intelligence (AI),more and more scholars begin to use state-of-the-art technology to assist diagnosis of two diseases,and satisfied results were achieved.This paper summarized the wearable devices currently used for the diagnosis of two diseases and related AI classification algorithms,and discussed their advantages and limitations.Finally,this paper analyzed the main problems existing in the related researches and pointed out the possible research directions in this field.

Key words: Artificial intelligence, Computer aided diagnosis, Essential tremor, Parkinson’s tremor, Wearable sensors

CLC Number:

TP391

ZHANG Yu-qian,GU Dong-yun. Review of Computer Aided Diagnosis for Parkinson’s Tremor and Essential Tremor[J].Computer Science, 2019, 46(7): 22-29.

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