Spectral parameters for finger tapping quantification

Autor: Nathanaël Jarrassé, S Vladimir Kostic, N Igor Petrovic, Nataša Dragašević, Milica Jecmenica-Lukic, N Vladislava Bobic, D Milica Djuric-Jovicic, M Sasa Radovanovic
Přispěvatelé: School of Electrical Engineering (ETF), University of Belgrade [Belgrade], Assistance aux Gestes et Applications THErapeutiques (AGATHE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut des Systèmes Intelligents et de Robotique (ISIR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Department of Neurology, Institut des Systèmes Intelligents et de Robotique (ISIR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Facta Universitatis, Series: Electronics and Energetics
Facta Universitatis, Series: Electronics and Energetics, 2017, 30 (4), pp.585-597. ⟨10.2298/FUEE1704585B⟩
Facta Universitatis-series: Electronics & Energetics
ISSN: 0353-3670
DOI: 10.2298/FUEE1704585B⟩
Popis: A miniature inertial sensor placed on fingertip of index finger while performing finger tapping test can be used for an objective quantification of finger tapping motion. Temporal and spatial parameters such as cadence, tapping duration, and tapping angle can be extracted for detailed analysis. However, the mentioned parameters, although intuitive and simple to interpret, do not always provide all the necessary information regarding the subject?s motor performance. Analysis of frequency content of the finger tapping movement can provide crucial information about the patient's condition. In this paper, we present parameters extracted from spectral analysis that we found to be significant for finger tapping assessment. With these parameters, tapping?s intra-variability, movement smoothness and anomalies that may occur within the tapping performance can be detected and described, providing significant information for further diagnostics and monitoring progress of the disease or response to therapy.
Databáze: OpenAIRE