Early detection of Parkinson's disease through Voice

Vikas, Ranjan Sharma
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引用次数: 9

Abstract

This paper present different methods of diagnosis of Parkinson's disease through voice in early stages. The aim of this study is to provide a simple, fast, cheaper method of detection of Parkinson's disease for the patients as there is no cure for this disease and the available therapies which provide some relief to them are too much costlier for this disease. Voice has different parameters that tell meaningful variations between normal people and Parkinson's patient like pitch, jitter, formant, shimmer, Mel-frequency Cepstral Coefficient (MFCC) and glottal pulse were founded out and analyzed.
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通过语音进行帕金森病的早期检测
本文介绍了早期语音诊断帕金森病的不同方法。这项研究的目的是为患者提供一种简单、快速、便宜的检测帕金森病的方法,因为这种疾病无法治愈,现有的治疗方法对他们有一定的缓解作用,但对这种疾病来说太贵了。我们发现并分析了正常人和帕金森患者的声音有不同的参数,如音高、抖动、共振峰、闪烁、Mel-frequency Cepstral Coefficient (MFCC)和声门脉冲。
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