Analysis of feature space for monitoring persons with Parkinson's disease with application to a wireless wearable sensor system

被引：0

作者：

Patel, Shyamal ^{[1
]}

Lorincz, Konrad ^{[1
]}

Hughes, Richard ^{[1
]}

Huggins, Nancy ^{[1
]}

Growdon, John H. ^{[1
]}

Welsh, Matt ^{[1
]}

Bonato, Paolo ^{[1
]}

机构：

[1] Harvard Univ, Sch Med, Dept Phys Med & Rehabil, Spaulding Rehabil Hosp, Boston, MA 02114 USA

来源：

2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 | 2007年

基金：

美国国家卫生研究院;

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We present work to develop a wireless wearable sensor system for monitoring patients with Parkinson's disease (PD) in their homes. For monitoring outside the laboratory, a wearable system must not only record data, but also efficiently process data on-board. This manuscript details the analysis of data collected using tethered wearable sensors. Optimal window length for feature extraction and feature ranking were calculated, based on their ability to capture motor fluctuations in persons with PD. Results from this study will be employed to develop a software platform for the wireless system, to efficiently process on-board data.

引用

页码：6291 / +

页数：2

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