The relationship between electrovestibulography and Parkinson's disease severity

Mehrnaz Shoushtarian, Brian John Lithgow

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

Abstract

Parkinson's disease (PD) is the second largest neurodegenerative disorder worldwide. This disease results from the loss of dopamine producing neurons in parts of the basal ganglia of the brain. Previous studies have shown the involvement of the dopamine system in the basal ganglia in balance control. Sensations of balance in the body are detected by the vestibular apparatus. In this project, electrovestibulography (EVestG) has been used to measure neuronal activity of the vestibular apparatus and nuclei from Parkinson's patients. A wavelet based signal processing technique, a Neural Event Extraction Routine, has been used to extract biomarkers from these EVestG recordings. These measurements appear to be correlated with scores from mobility tests which indicate disease progression and mobility impairment in Parkinson's patients.

Original languageEnglish
Title of host publicationProceedings of the 29th Annual International Conference of the IEEE EMBS 2007
EditorsEric McAdams, Nigel Lovell
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages2377-2380
Number of pages4
ISBN (Print)1424407885, 9781424407880
DOIs
Publication statusPublished - 2007
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2007 - Centre de Congres, Lyon, France
Duration: 22 Aug 200726 Aug 2007
Conference number: 29th
https://ieeexplore.ieee.org/xpl/conhome/4352184/proceeding (Proceedings)

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2007
Abbreviated titleEMBC 2007
Country/TerritoryFrance
CityLyon
Period22/08/0726/08/07
Otherheld in conjunction with the Biennial Conference of the French society of Biological and Medical Engineering (SFGBM)
Internet address

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