Analysis of Feature Space for Monitoring Persons with Parkinson´s Disease With Application to a Wireless Wearable Sensor System

Author

Patel, S. ; Lorincz, K. ; Hughes, R. ; Huggins, N. ; Growdon, J.H. ; Welsh, M. ; Bonato, P.

Author_Institution

Harvard Med. Sch., Boston

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

6290

Lastpage

6293

Abstract

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.

Keywords

biosensors; diseases; medical computing; patient monitoring; wearable computers; Parkinson´s disease; feature space; on-board data process; person monitoring; wireless wearable sensor system; Base stations; Data analysis; Feature extraction; Fluctuations; Hospitals; Intelligent sensors; Monitoring; Parkinson´s disease; Wearable sensors; Wireless sensor networks; Aged; Clothing; Diagnosis, Computer-Assisted; Equipment Design; Equipment Failure Analysis; Female; Humans; Male; Middle Aged; Miniaturization; Monitoring, Ambulatory; Parkinson Disease; Telemedicine; Telemetry; Transducers;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353793

Filename

4353793