Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms

The choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments with six healthy volunteers were performed with a NORAXON measuring and processing sy...

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Main Authors: Rositsa Raikova, Silvija Angelova, Ivanka Veneva, Ivaylo Christov
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2019-09-01
Series:International Journal Bioautomation
Subjects:
Online Access:http://www.biomed.bas.bg/bioautomation/2019/vol_23.3/files/23.3_08.pdf
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spelling doaj-f40892a26e804e4ea60bc4a1732a8f542020-11-25T02:34:54ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212019-09-0123334335410.7546/ijba.2019.23.3.000673Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of FreedomsRositsa Raikova0Silvija AngelovaIvanka VenevaIvaylo ChristovDepartment of Motor Control, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, BulgariaThe choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments with six healthy volunteers were performed with a NORAXON measuring and processing system. EMG signals from 8 muscles of the upper right arm performing the main motions in the shoulder and elbow joints were registered and processed. Four angles in the joints were also registered. Six motor tasks were performed, without and with an exoskeleton with four degrees of freedom. Since the EMG signal of the muscle pectoralis major was contaminated by noise coming from the electrical activity of the heart, first this signal was filtered using recently developed dynamic filter. Normalization according to maximal isometric tasks was performed after filtration. Rectification and smoothing ensured a suitable signal for proportional control of the exoskeleton. On/off control was simulated by setting different constants for maximal EMG amplitude levels.http://www.biomed.bas.bg/bioautomation/2019/vol_23.3/files/23.3_08.pdfemg signalsupper limbexoskeletonrehabilitation
collection DOAJ
language English
format Article
sources DOAJ
author Rositsa Raikova
Silvija Angelova
Ivanka Veneva
Ivaylo Christov
spellingShingle Rositsa Raikova
Silvija Angelova
Ivanka Veneva
Ivaylo Christov
Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms
International Journal Bioautomation
emg signals
upper limb
exoskeleton
rehabilitation
author_facet Rositsa Raikova
Silvija Angelova
Ivanka Veneva
Ivaylo Christov
author_sort Rositsa Raikova
title Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms
title_short Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms
title_full Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms
title_fullStr Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms
title_full_unstemmed Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms
title_sort experimental investigation of electromyographic activities of upper limb muscles without and with a passive exoskeleton with four degrees of freedoms
publisher Bulgarian Academy of Sciences
series International Journal Bioautomation
issn 1314-1902
1314-2321
publishDate 2019-09-01
description The choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments with six healthy volunteers were performed with a NORAXON measuring and processing system. EMG signals from 8 muscles of the upper right arm performing the main motions in the shoulder and elbow joints were registered and processed. Four angles in the joints were also registered. Six motor tasks were performed, without and with an exoskeleton with four degrees of freedom. Since the EMG signal of the muscle pectoralis major was contaminated by noise coming from the electrical activity of the heart, first this signal was filtered using recently developed dynamic filter. Normalization according to maximal isometric tasks was performed after filtration. Rectification and smoothing ensured a suitable signal for proportional control of the exoskeleton. On/off control was simulated by setting different constants for maximal EMG amplitude levels.
topic emg signals
upper limb
exoskeleton
rehabilitation
url http://www.biomed.bas.bg/bioautomation/2019/vol_23.3/files/23.3_08.pdf
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