Spectral-Distance-Based Detection of EMG Activity From Capacitive Measurements
Electromyographic (EMG) activity is often used as a diagnostic tool in hospitals. In addition, in the last decade, EMG signals are used for the control of assistive devices such as active exoskeletons and prostheses. Conventional surface electrodes used for the acquisition of EMG signals can cause i...
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| Veröffentlicht in: | IEEE sensors journal 2018-10, Vol.18 (20), p.8502-8509 |
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| creator | Borelli, Gabriele Bonnet, Jovana Jovic Hernandez, Yoel Rosales Matsuda, Koichi Damerau, Jochen |
| description | Electromyographic (EMG) activity is often used as a diagnostic tool in hospitals. In addition, in the last decade, EMG signals are used for the control of assistive devices such as active exoskeletons and prostheses. Conventional surface electrodes used for the acquisition of EMG signals can cause irritation, discomfort, skin allergy, and inflammation. To cope with these issues capacitive contactless EMG electrodes have been developed. The method proposed in this paper is based on the use of short time Fourier transform and spectral distance computation to detect muscle activation from signals recorded using capacitive sensors. The method has been experimentally tested on five young healthy subjects. To assess the reliability of our method, we quantified the latency between the output of the detection algorithm and results of a gold standard protocol created by an expert bioengineer. The results show reliable off-line EMG detection. In the future, we plan to test whether the method could be used for online EMG detection. |
| doi_str_mv | 10.1109/JSEN.2018.2865580 |
| format | Article |
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In addition, in the last decade, EMG signals are used for the control of assistive devices such as active exoskeletons and prostheses. Conventional surface electrodes used for the acquisition of EMG signals can cause irritation, discomfort, skin allergy, and inflammation. To cope with these issues capacitive contactless EMG electrodes have been developed. The method proposed in this paper is based on the use of short time Fourier transform and spectral distance computation to detect muscle activation from signals recorded using capacitive sensors. The method has been experimentally tested on five young healthy subjects. To assess the reliability of our method, we quantified the latency between the output of the detection algorithm and results of a gold standard protocol created by an expert bioengineer. The results show reliable off-line EMG detection. 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(IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-949cfafcbb23bd6d24dd1fb8dfff9cbc3d81ae2a19960147bdfd875cf0a6549c3</citedby><cites>FETCH-LOGICAL-c293t-949cfafcbb23bd6d24dd1fb8dfff9cbc3d81ae2a19960147bdfd875cf0a6549c3</cites><orcidid>0000-0001-9797-7798 ; 0000-0002-7843-4269 ; 0000-0002-0708-1136 ; 0000-0002-9892-9381</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8438488$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8438488$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Borelli, Gabriele</creatorcontrib><creatorcontrib>Bonnet, Jovana Jovic</creatorcontrib><creatorcontrib>Hernandez, Yoel Rosales</creatorcontrib><creatorcontrib>Matsuda, Koichi</creatorcontrib><creatorcontrib>Damerau, Jochen</creatorcontrib><title>Spectral-Distance-Based Detection of EMG Activity From Capacitive Measurements</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>Electromyographic (EMG) activity is often used as a diagnostic tool in hospitals. In addition, in the last decade, EMG signals are used for the control of assistive devices such as active exoskeletons and prostheses. Conventional surface electrodes used for the acquisition of EMG signals can cause irritation, discomfort, skin allergy, and inflammation. To cope with these issues capacitive contactless EMG electrodes have been developed. The method proposed in this paper is based on the use of short time Fourier transform and spectral distance computation to detect muscle activation from signals recorded using capacitive sensors. The method has been experimentally tested on five young healthy subjects. To assess the reliability of our method, we quantified the latency between the output of the detection algorithm and results of a gold standard protocol created by an expert bioengineer. The results show reliable off-line EMG detection. In the future, we plan to test whether the method could be used for online EMG detection.</description><subject>Bio-signal processing</subject><subject>Bioengineering</subject><subject>contactless capacitive EMG electrodes</subject><subject>Diagnostic software</subject><subject>Diagnostic systems</subject><subject>Electrodes</subject><subject>Electromyography</subject><subject>EMG detection</subject><subject>Exoskeletons</subject><subject>Fourier transforms</subject><subject>Impedance</subject><subject>Irritation</subject><subject>Muscles</subject><subject>Prostheses</subject><subject>Reliability analysis</subject><subject>Sensors</subject><subject>short time Fourier transformation</subject><subject>Skin</subject><subject>spectral distance</subject><subject>Test procedures</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtLAzEUhYMoWKs_QNwMuJ6aO8lMkmXtS6Wtiyq4C5k8YEo7MybTQv-9GVpcnfs45174EHoEPALA4uVjM1uPMgx8lPEizzm-QgOImgKj_LqvCU4pYT-36C6ELcYgWM4GaL1pre682qXTKnSq1jZ9VcGaZGq7uKiaOmlcMlstknHsjlV3Sua-2ScT1SpdxYlNVlaFg7d7W3fhHt04tQv24aJD9D2ffU3e0uXn4n0yXqY6E6RLBRXaKafLMiOlKUxGjQFXcuOcE7rUxHBQNlMgRIGBstI4w1muHVZFHrNkiJ7Pd1vf_B5s6OS2Ofg6vpQZAANWUIqjC84u7ZsQvHWy9dVe-ZMELHtssscme2zygi1mns6Zylr77-eUcMo5-QP5TWop</recordid><startdate>20181015</startdate><enddate>20181015</enddate><creator>Borelli, Gabriele</creator><creator>Bonnet, Jovana Jovic</creator><creator>Hernandez, Yoel Rosales</creator><creator>Matsuda, Koichi</creator><creator>Damerau, Jochen</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Bio-signal processing Bioengineering contactless capacitive EMG electrodes Diagnostic software Diagnostic systems Electrodes Electromyography EMG detection Exoskeletons Fourier transforms Impedance Irritation Muscles Prostheses Reliability analysis Sensors short time Fourier transformation Skin spectral distance Test procedures |
| title | Spectral-Distance-Based Detection of EMG Activity From Capacitive Measurements |
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