{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T06:51:11Z","timestamp":1649055071200},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,27]]},"abstract":"<jats:p>In this, study, we have investigated to identify the muscle fatigue using spatial maps of High-Density Electromyography (HDEMG). The experiment involves subjects performing plantar flexion at 40% maximum voluntary contraction until fatigue. During the experiment, HDEMG signal was recorded from the tibialis anterior muscle. The monopolar and bipolar spatial intensity maps were extracted from the HDEMG signal. The random forest classifier with different tree configurations was tested to distinguish nonfatigue and fatigue condition. The results indicate that selected electrodes from the differential intensity map results in an accuracy of 83.3% with the number of trees set at 17. This method of spatial analysis of HDEMG signals may be extended to assess fatigue in real life scenarios.<\/jats:p>","DOI":"10.3233\/shti210218","type":"book-chapter","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T13:19:40Z","timestamp":1622121580000},"source":"Crossref","is-referenced-by-count":0,"title":["Spatial Intensity Map of HDEMG Based Classification of Muscle Fatigue"],"prefix":"10.3233","author":[{"given":"Navaneethakrishna","family":"Makaram","sequence":"first","affiliation":[{"name":"Applied Mechanics, Indian Institute of Technology Madras, India"}]},{"given":"Sridhar P.","family":"Arjunan","sequence":"additional","affiliation":[{"name":"Electronics and Instrumentation, SRM Institute of Science and Technology, India"}]},{"given":"Dinesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"School of Engineering, RMIT University, Melbourne, Australia"}]},{"given":"Ramakrishnan","family":"Swaminathan","sequence":"additional","affiliation":[{"name":"Applied Mechanics, Indian Institute of Technology Madras, India"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Public Health and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:13:12Z","timestamp":1635167592000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210218","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,27]]}}}