A Multiday Evaluation of Real-time Intramuscular EMG Usability With ANN

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aut.relation.articlenumber3385en_NZ
aut.relation.issue12en_NZ
aut.relation.journalSensorsen_NZ
aut.relation.volume20en_NZ
aut.researcherDrabsch, Julie
dc.contributor.authorWaris, Aen_NZ
dc.contributor.authorZia ur Rehman, Men_NZ
dc.contributor.authorNiazi, IKen_NZ
dc.contributor.authorJochumsen, Men_NZ
dc.contributor.authorEnglehart, Ken_NZ
dc.contributor.authorJensen, Wen_NZ
dc.contributor.authorHaavik, Hen_NZ
dc.contributor.authorKamavuako, ENen_NZ
dc.date.accessioned2020-09-08T03:22:56Z
dc.date.available2020-09-08T03:22:56Z
dc.date.copyright2020en_NZ
dc.date.issued2020en_NZ
dc.description.abstractRecent developments in implantable technology, such as high-density recordings, wireless transmission of signals to a prosthetic hand, may pave the way for intramuscular electromyography (iEMG)-based myoelectric control in the future. This study aimed to investigate the real-time control performance of iEMG over time. A novel protocol was developed to quantify the robustness of the real-time performance parameters. Intramuscular wires were used to record EMG signals, which were kept inside the muscles for five consecutive days. Tests were performed on multiple days using Fitts’ law. Throughput, completion rate, path efficiency and overshoot were evaluated as performance metrics using three train/test strategies. Each train/test scheme was categorized on the basis of data quantity and the time difference between training and testing data. An artificial neural network (ANN) classifier was trained and tested on (i) data from the same day (WDT), (ii) data collected from the previous day and tested on present-day (BDT) and (iii) trained on all previous days including the present day and tested on present-day (CDT). It was found that the completion rate (91.6 ± 3.6%) of CDT was significantly better (p < 0.01) than BDT (74.02 ± 5.8%) and WDT (88.16 ± 3.6%). For BDT, on average, the first session of each day was significantly better (p < 0.01) than the second and third sessions for completion rate (77.9 ± 14.0%) and path efficiency (88.9 ± 16.9%). Subjects demonstrated the ability to achieve targets successfully with wire electrodes. Results also suggest that time variations in the iEMG signal can be catered by concatenating the data over several days. This scheme can be helpful in attaining stable and robust performance.en_NZ
dc.identifier.citationSensors, 20(12), 3385. doi:10.3390/s20123385
dc.identifier.doi10.3390/s20123385en_NZ
dc.identifier.issn1424-2818en_NZ
dc.identifier.issn1424-8220en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/13642
dc.languageenen_NZ
dc.publisherMDPI AGen_NZ
dc.relation.urihttps://www.mdpi.com/1424-8220/20/12/3385
dc.rights© 2020 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/).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectIntramuscular electromyography (iEMG); Prosthetic hand; Pattern recognition (PR)
dc.titleA Multiday Evaluation of Real-time Intramuscular EMG Usability With ANNen_NZ
dc.typeJournal Article
pubs.elements-id378647
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Clinical Sciences
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