A wearable accelerometer system for unobtrusive monitoring of Parkinson's diease motor symptoms

  • Faisal M. Khan
  • , Michael Barnathan
  • , Michael Montgomery
  • , Stanely Myers
  • , Lucien Côté
  • , Sheree Loftus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

Parkinson's disease is a complex condition currently monitored at home with paper diaries which rely on subjective and unreliable assessment of motor function at nonstandard time intervals. We present an innovative wearable and unobtrusive monitoring system for patients which can help provide physicians with significantly improved assessment of patients' responses to drug therapies and lead to better-targeted treatment regimens. In this paper we describe the algorithmic development of the system and an evaluation in patients for assessing the onset and duration of advanced PD motor symptoms.

Original languageEnglish
Title of host publicationProceedings - IEEE 14th International Conference on Bioinformatics and Bioengineering, BIBE 2014
EditorsReda Alhajj, Taghi M. Khoshgoftaar, Nikolaos G. Bourbakis, Xingquan Zhu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages120-125
Number of pages6
ISBN (Electronic)9781479975013
DOIs
StatePublished - 5 Feb 2014
Externally publishedYes
Event14th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2014 - Boca Raton, United States
Duration: 10 Nov 201412 Nov 2014

Publication series

NameProceedings - IEEE 14th International Conference on Bioinformatics and Bioengineering, BIBE 2014

Conference

Conference14th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2014
Country/TerritoryUnited States
CityBoca Raton
Period10/11/1412/11/14

Keywords

  • Accelerometer
  • Parkinson's
  • Time series

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