A comparison of sEMG temporal and spatial information in the analysis of continuous movements
Much effort has recently been devoted to the analysis of continuous movements with the aim of promoting EMG signal acceptance in several fields of application. Moreover, several studies have been performed to optimize the temporal and spatial parameters in order to obtain a robust interpretation of...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-01-01
|
Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914817301648 |
id |
doaj-95fb184aa3fa490c98ac8ccc10a7a844 |
---|---|
record_format |
Article |
spelling |
doaj-95fb184aa3fa490c98ac8ccc10a7a8442020-11-24T20:59:00ZengElsevierInformatics in Medicine Unlocked2352-91482017-01-019C25526310.1016/j.imu.2017.10.006A comparison of sEMG temporal and spatial information in the analysis of continuous movementsMichela Di Girolamo0Alain Favetto1Marco Paleari2Nicolò Celadon3Paolo Ariano4Department of Applied Science and Technology - DISAT, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, ItalyCenter for Sustainable Future Technologies @PoliTo, Fondazione Istituto Italiano di Tecnologia, Corso Trento 21,10129 Torino, ItalyCenter for Sustainable Future Technologies @PoliTo, Fondazione Istituto Italiano di Tecnologia, Corso Trento 21,10129 Torino, ItalyCenter for Sustainable Future Technologies @PoliTo, Fondazione Istituto Italiano di Tecnologia, Corso Trento 21,10129 Torino, ItalyCenter for Sustainable Future Technologies @PoliTo, Fondazione Istituto Italiano di Tecnologia, Corso Trento 21,10129 Torino, ItalyMuch effort has recently been devoted to the analysis of continuous movements with the aim of promoting EMG signal acceptance in several fields of application. Moreover, several studies have been performed to optimize the temporal and spatial parameters in order to obtain a robust interpretation of EMG signals. Resulting from these perspectives, the investigation of the contribution of EMG temporal and spatial information has become a relevant aspect for signal interpretation. This paper aims to evaluate the effects of the two types of information on continuous motions analysis. In order to achieve this goal, the spatial and temporal information of EMG signals were separated and applied as input for an offline Template Making and Matching algorithm. Movement recognition was performed testing three different methods. In the first case (the Temporal approach) the RMS time series generated during movements was the only information employed. In the second case (the Spatial approach) the mean RMS amplitude measured on each channel was considered. Finally, in the third case (the Spatio-Temporal approach) a combination of the information from both the previous approaches was applied. The experimental protocol included 14 movements, which were different from each other in the muscular activation and the execution timing. Results show that the recognition of continuous movements cannot disregard the temporal information. Moreover, the temporal patterns seem to be relevant also for distinguishing movements which differ only in the muscular areas they activate.http://www.sciencedirect.com/science/article/pii/S2352914817301648EMG analysisTimeMovement discriminationContinuous movementTemplate matching |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michela Di Girolamo Alain Favetto Marco Paleari Nicolò Celadon Paolo Ariano |
spellingShingle |
Michela Di Girolamo Alain Favetto Marco Paleari Nicolò Celadon Paolo Ariano A comparison of sEMG temporal and spatial information in the analysis of continuous movements Informatics in Medicine Unlocked EMG analysis Time Movement discrimination Continuous movement Template matching |
author_facet |
Michela Di Girolamo Alain Favetto Marco Paleari Nicolò Celadon Paolo Ariano |
author_sort |
Michela Di Girolamo |
title |
A comparison of sEMG temporal and spatial information in the analysis of continuous movements |
title_short |
A comparison of sEMG temporal and spatial information in the analysis of continuous movements |
title_full |
A comparison of sEMG temporal and spatial information in the analysis of continuous movements |
title_fullStr |
A comparison of sEMG temporal and spatial information in the analysis of continuous movements |
title_full_unstemmed |
A comparison of sEMG temporal and spatial information in the analysis of continuous movements |
title_sort |
comparison of semg temporal and spatial information in the analysis of continuous movements |
publisher |
Elsevier |
series |
Informatics in Medicine Unlocked |
issn |
2352-9148 |
publishDate |
2017-01-01 |
description |
Much effort has recently been devoted to the analysis of continuous movements with the aim of promoting EMG signal acceptance in several fields of application. Moreover, several studies have been performed to optimize the temporal and spatial parameters in order to obtain a robust interpretation of EMG signals. Resulting from these perspectives, the investigation of the contribution of EMG temporal and spatial information has become a relevant aspect for signal interpretation. This paper aims to evaluate the effects of the two types of information on continuous motions analysis. In order to achieve this goal, the spatial and temporal information of EMG signals were separated and applied as input for an offline Template Making and Matching algorithm. Movement recognition was performed testing three different methods. In the first case (the Temporal approach) the RMS time series generated during movements was the only information employed. In the second case (the Spatial approach) the mean RMS amplitude measured on each channel was considered. Finally, in the third case (the Spatio-Temporal approach) a combination of the information from both the previous approaches was applied. The experimental protocol included 14 movements, which were different from each other in the muscular activation and the execution timing. Results show that the recognition of continuous movements cannot disregard the temporal information. Moreover, the temporal patterns seem to be relevant also for distinguishing movements which differ only in the muscular areas they activate. |
topic |
EMG analysis Time Movement discrimination Continuous movement Template matching |
url |
http://www.sciencedirect.com/science/article/pii/S2352914817301648 |
work_keys_str_mv |
AT micheladigirolamo acomparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT alainfavetto acomparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT marcopaleari acomparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT nicoloceladon acomparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT paoloariano acomparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT micheladigirolamo comparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT alainfavetto comparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT marcopaleari comparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT nicoloceladon comparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements AT paoloariano comparisonofsemgtemporalandspatialinformationintheanalysisofcontinuousmovements |
_version_ |
1716784188605071360 |