A WAVELET-BASED APPROACH TO MONITORING PARKINSON'S DISEASE SYMPTOMS

被引：0

作者：

Wagner, Avishai ^{[1
]}

Fixler, Naama ^{[1
]}

Resheff, Yehezkel S. ^{[1
]}

机构：

[1] Intel Adv Analyt, Santa Clara, CA 95054 USA

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年

关键词：

Parkinson's Disease; Monitoring; Wearable Devices; Accelerometer; Wavelets;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Parkinson's disease is a neuro-degenerative disorder affecting tens of millions of people worldwide. Lately, there has been considerable interest in systems for at-home monitoring of patients, using wearable devices which contain inertial measurement units. We present a new wavelet-based approach for analysis of data from single wrist-worn smart-watches, and show high detection performance for tremor, bradykinesia, and dyskinesia, which have been the major targets for monitoring in this context. We also discuss the implication of our controlled-experiment results for uncontrolled home monitoring of freely behaving patients.

引用

页码：5980 / 5984

页数：5

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