RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETS

The paper describes an EMG signal analysis based on the wavelet transform, applied for the hand prosthesis control. Signal features are represented by wavelet coefficients. A cross-validation method is applied for the feature selection process. The classification algorithm uses multistage recogniti...

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Main Authors: KRZYSZTOF KRYSZTOFORSKI, ANDRZEJ WOLCZOWSKI, ROMUALD BĘDZIŃSKI, KRZYSZTOF HELT
Format: Article
Language:English
Published: Gdańsk University of Technology 2004-04-01
Series:TASK Quarterly
Subjects:
Online Access:https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2511
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author KRZYSZTOF KRYSZTOFORSKI
ANDRZEJ WOLCZOWSKI
ROMUALD BĘDZIŃSKI
KRZYSZTOF HELT
author_facet KRZYSZTOF KRYSZTOFORSKI
ANDRZEJ WOLCZOWSKI
ROMUALD BĘDZIŃSKI
KRZYSZTOF HELT
author_sort KRZYSZTOF KRYSZTOFORSKI
collection DOAJ
description The paper describes an EMG signal analysis based on the wavelet transform, applied for the hand prosthesis control. Signal features are represented by wavelet coefficients. A cross-validation method is applied for the feature selection process. The classification algorithm uses multistage recognition. The information about finger posture provided by a data glove is recorded concurrently with forearm EMG signals. The acquired data are used to train the classification algorithm.
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publisher Gdańsk University of Technology
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spelling doaj.art-72ba467cb5574b9a823ad9c56f3695b42022-12-22T00:22:42ZengGdańsk University of TechnologyTASK Quarterly1428-63942004-04-0182RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETSKRZYSZTOF KRYSZTOFORSKI0ANDRZEJ WOLCZOWSKI1ROMUALD BĘDZIŃSKI2KRZYSZTOF HELT3Biomedical Engineering and Experimental Mechanics Division, Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wroclaw, PolandInstitute of Engineering Cybernetics, Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wroclaw, PolandBiomedical Engineering and Experimental Mechanics Division, Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wroclaw, PolandInstitute of Engineering Cybernetics, Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wroclaw, Poland The paper describes an EMG signal analysis based on the wavelet transform, applied for the hand prosthesis control. Signal features are represented by wavelet coefficients. A cross-validation method is applied for the feature selection process. The classification algorithm uses multistage recognition. The information about finger posture provided by a data glove is recorded concurrently with forearm EMG signals. The acquired data are used to train the classification algorithm. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2511multistage pattern recognitionEMG signal processingwavelet transformdexterous prosthesis control
spellingShingle KRZYSZTOF KRYSZTOFORSKI
ANDRZEJ WOLCZOWSKI
ROMUALD BĘDZIŃSKI
KRZYSZTOF HELT
RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETS
TASK Quarterly
multistage pattern recognition
EMG signal processing
wavelet transform
dexterous prosthesis control
title RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETS
title_full RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETS
title_fullStr RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETS
title_full_unstemmed RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETS
title_short RECOGNITION OF PALM FINGER MOVEMENTS ON THE BASIS OF EMG SIGNALS WITH THE APPLICATION OF WAVELETS
title_sort recognition of palm finger movements on the basis of emg signals with the application of wavelets
topic multistage pattern recognition
EMG signal processing
wavelet transform
dexterous prosthesis control
url https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2511
work_keys_str_mv AT krzysztofkrysztoforski recognitionofpalmfingermovementsonthebasisofemgsignalswiththeapplicationofwavelets
AT andrzejwolczowski recognitionofpalmfingermovementsonthebasisofemgsignalswiththeapplicationofwavelets
AT romualdbedzinski recognitionofpalmfingermovementsonthebasisofemgsignalswiththeapplicationofwavelets
AT krzysztofhelt recognitionofpalmfingermovementsonthebasisofemgsignalswiththeapplicationofwavelets