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Quantification of Finger-Tapping Angle Based on Wearable Sensors
We propose a novel simple method for quantitative and qualitative finger-tapping assessment based on miniature inertial sensors (3D gyroscopes) placed on the thumb and index-finger. We propose a simplified description of the finger tapping by using a single angle, describing rotation around a domina...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336005/ https://www.ncbi.nlm.nih.gov/pubmed/28125051 http://dx.doi.org/10.3390/s17020203 |
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author | Djurić-Jovičić, Milica Jovičić, Nenad S. Roby-Brami, Agnes Popović, Mirjana B. Kostić, Vladimir S. Djordjević, Antonije R. |
author_facet | Djurić-Jovičić, Milica Jovičić, Nenad S. Roby-Brami, Agnes Popović, Mirjana B. Kostić, Vladimir S. Djordjević, Antonije R. |
author_sort | Djurić-Jovičić, Milica |
collection | PubMed |
description | We propose a novel simple method for quantitative and qualitative finger-tapping assessment based on miniature inertial sensors (3D gyroscopes) placed on the thumb and index-finger. We propose a simplified description of the finger tapping by using a single angle, describing rotation around a dominant axis. The method was verified on twelve subjects, who performed various tapping tasks, mimicking impaired patterns. The obtained tapping angles were compared with results of a motion capture camera system, demonstrating excellent accuracy. The root-mean-square (RMS) error between the two sets of data is, on average, below 4°, and the intraclass correlation coefficient is, on average, greater than 0.972. Data obtained by the proposed method may be used together with scores from clinical tests to enable a better diagnostic. Along with hardware simplicity, this makes the proposed method a promising candidate for use in clinical practice. Furthermore, our definition of the tapping angle can be applied to all tapping assessment systems. |
format | Online Article Text |
id | pubmed-5336005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53360052017-03-16 Quantification of Finger-Tapping Angle Based on Wearable Sensors Djurić-Jovičić, Milica Jovičić, Nenad S. Roby-Brami, Agnes Popović, Mirjana B. Kostić, Vladimir S. Djordjević, Antonije R. Sensors (Basel) Article We propose a novel simple method for quantitative and qualitative finger-tapping assessment based on miniature inertial sensors (3D gyroscopes) placed on the thumb and index-finger. We propose a simplified description of the finger tapping by using a single angle, describing rotation around a dominant axis. The method was verified on twelve subjects, who performed various tapping tasks, mimicking impaired patterns. The obtained tapping angles were compared with results of a motion capture camera system, demonstrating excellent accuracy. The root-mean-square (RMS) error between the two sets of data is, on average, below 4°, and the intraclass correlation coefficient is, on average, greater than 0.972. Data obtained by the proposed method may be used together with scores from clinical tests to enable a better diagnostic. Along with hardware simplicity, this makes the proposed method a promising candidate for use in clinical practice. Furthermore, our definition of the tapping angle can be applied to all tapping assessment systems. MDPI 2017-01-25 /pmc/articles/PMC5336005/ /pubmed/28125051 http://dx.doi.org/10.3390/s17020203 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Djurić-Jovičić, Milica Jovičić, Nenad S. Roby-Brami, Agnes Popović, Mirjana B. Kostić, Vladimir S. Djordjević, Antonije R. Quantification of Finger-Tapping Angle Based on Wearable Sensors |
title | Quantification of Finger-Tapping Angle Based on Wearable Sensors |
title_full | Quantification of Finger-Tapping Angle Based on Wearable Sensors |
title_fullStr | Quantification of Finger-Tapping Angle Based on Wearable Sensors |
title_full_unstemmed | Quantification of Finger-Tapping Angle Based on Wearable Sensors |
title_short | Quantification of Finger-Tapping Angle Based on Wearable Sensors |
title_sort | quantification of finger-tapping angle based on wearable sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336005/ https://www.ncbi.nlm.nih.gov/pubmed/28125051 http://dx.doi.org/10.3390/s17020203 |
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