An untethered shoe with vibratory feedback for improving gait of Parkinson's Patients: The PDShoe

Kyle N. Winfree, Ingrid Pretzer-Aboff, David Hilgart, Rajeev Aggarwal, Madhuri Behari, Sunil Agrawal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Subjects with Parkinson's disease (PD) often have trouble with ambulation. Some research has shown that auxiliary cueing in the form of vision, audio, or vibration can improve the gait of PD patients. We have developed a new vibratory feedback shoe, known as the PDShoe, which builds on existing research. This device can modulate both frequency and amplitude of feedback for the wearer. It is untethered, and thus can be worn during daily activities. Pressure and tactor status data are transmitted wirelessly over a personal area network to a notebook computer. This computer can also control the tactor actuation and stimulation frequency. This paper describes the details of design and construction of the PDShoe. A preliminary evaluation with four Parkinson's disease subjects and two healthy subjects is included to show the usability of the device.

Original languageEnglish (US)
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages1202-1205
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: Aug 28 2012Sep 1 2012

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Conference

Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
Country/TerritoryUnited States
CitySan Diego, CA
Period8/28/129/1/12

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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