Continuous assessment of gait velocity in Parkinson's disease from unobtrusive measurements

Misha Pavel, Tamara Hayes, Ishan Tsay, Deniz Erdogmus, Anindya Paul, Nicole Larimer, Holly Jimison, John Nutt

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

21 Citations (Scopus)

Abstract

The ability to assess the neurological state of patients with neurodegenerative diseases on a continuous basis is an important component of future care for these chronically ill patients. In this paper we describe a set of algorithms to infer gait velocity and its variability using data from an unobtrusive sensor network by incorporating a simple dynamic description of a patient's movements within his or her residence. The sensors include a combination of passive motion detectors and active radio frequency identification tags. The dynamic model is a simple 4 state hidden Markov model. We investigated the ability of this model to assess gait velocity and its variability using data from a six month pilot study of several patients with early stage Parkinson's disease.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages700-703
Number of pages4
DOIs
StatePublished - 2007
Event3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States
Duration: May 2 2007May 5 2007

Other

Other3rd International IEEE EMBS Conference on Neural Engineering
CountryUnited States
CityKohala Coast, HI
Period5/2/075/5/07

Fingerprint

Gait
Parkinson Disease
Neurodegenerative diseases
Hidden Markov models
Radio frequency identification (RFID)
Sensor networks
Dynamic models
Radio Frequency Identification Device
Detectors
Sensors
Neurodegenerative Diseases
Chronic Disease

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Neuroscience (miscellaneous)

Cite this

Pavel, M., Hayes, T., Tsay, I., Erdogmus, D., Paul, A., Larimer, N., ... Nutt, J. (2007). Continuous assessment of gait velocity in Parkinson's disease from unobtrusive measurements. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering (pp. 700-703). [4227374] https://doi.org/10.1109/CNE.2007.369769

Continuous assessment of gait velocity in Parkinson's disease from unobtrusive measurements. / Pavel, Misha; Hayes, Tamara; Tsay, Ishan; Erdogmus, Deniz; Paul, Anindya; Larimer, Nicole; Jimison, Holly; Nutt, John.

Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. p. 700-703 4227374.

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

Pavel, M, Hayes, T, Tsay, I, Erdogmus, D, Paul, A, Larimer, N, Jimison, H & Nutt, J 2007, Continuous assessment of gait velocity in Parkinson's disease from unobtrusive measurements. in Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering., 4227374, pp. 700-703, 3rd International IEEE EMBS Conference on Neural Engineering, Kohala Coast, HI, United States, 5/2/07. https://doi.org/10.1109/CNE.2007.369769
Pavel M, Hayes T, Tsay I, Erdogmus D, Paul A, Larimer N et al. Continuous assessment of gait velocity in Parkinson's disease from unobtrusive measurements. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. p. 700-703. 4227374 https://doi.org/10.1109/CNE.2007.369769
Pavel, Misha ; Hayes, Tamara ; Tsay, Ishan ; Erdogmus, Deniz ; Paul, Anindya ; Larimer, Nicole ; Jimison, Holly ; Nutt, John. / Continuous assessment of gait velocity in Parkinson's disease from unobtrusive measurements. Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering. 2007. pp. 700-703
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