Application of fractal dimension on vestibular response signals for diagnosis of Parkinson's disease

Zeinab A Dastgheib, B. Lithgow, Zahra Moussavi

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In this paper, a novel method based on analysis of dynamic response of vestibular system for diagnosis of Parkinson's Disease (PD) is introduced. Electrovestibulography (EVestG) signals are recorded from the ear canal in response to a vestibular stimulus. EVestG signals are in fact the vestibular response modulated by more cortical brain signals. We used EVestG data of 20 patients with PD and 26 age-matched healthy controls recorded in a previous study. We calculated the Katz Fractal Dimension (FD) of the extracted timing signal of firings during contralateral and ipsilateral stimuli of both left and right ear. We used multivariate analysis of variance (MANOVA) to select pairs of features showing the most significant differences between the groups. Then, Linear and Quadratic Discriminant (LDA, QDA) classification algorithms were applied on the selected features. The results have shown above 77.27% accuracy. Given the small population of the subjects and the patients were at different stage of disease, the results encourage continuing exploration of the application of EVestG for PD diagnosis and perhaps as a quick and non-invasive screening tool.

Original languageEnglish
Title of host publicationEngineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9781424441228
Publication statusPublished - 1 Dec 2011
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2011 - Boston, United States of America
Duration: 30 Aug 20113 Sep 2011
Conference number: 33rd (Proceedings)


ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2011
Abbreviated titleEMBC 2011
CountryUnited States of America
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