A system for finger tremor quantification in patients with Parkinson's disease

M. Bravo, A. Bermeo, M. Huerta, C. Llumiguano, J. Bermeo, R. Clotet, A. Soto

Research output: Contribution to conferencePaper

5 Scopus citations

Abstract

© 2017 IEEE. The current diagnosis of Parkinson's disease (PD) is based on a subjective assessment by the specialist. The monitoring of the tremor that presents in the hand index fingers in a patient with Parkinson's is one of the most important parameters to diagnose the evolution of the disease in an objective manner. This research analyze the tremor in the hand index fingers of patients with PD with medication and without medication. A sensor based in a triaxial accelerometer was used to acquire the data produced by the acceleration changes of parkinsonian tremor in the case of three activities: postural tremor, action tremor and rest tremor. Acquired data were processed in Matlab; the data were filtered and the spectral power density (PSD) was estimated with the Burg periodogram. It has been verified that the system presented in this article can accurately detect the parkinsonian tremors of the patients evaluated, additionally has been found that with the medication the tremors do not disappear completely, these remained with the same frequencies of PD but with a very small amplitude.
Original languageEnglish (US)
Pages3549-3552
Number of pages4
DOIs
StatePublished - 13 Sep 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2017 - Jeju Island, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2017
Abbreviated titleEMBS 2017
Country/TerritoryKorea, Republic of
CityJeju Island
Period11/07/1715/07/17

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