{"id":"https://openalex.org/W2199246337","doi":"https://doi.org/10.3233/978-1-61499-589-0-118","title":"Time Domain Features of Multi-channel EMG Applied to Prediction of Physiological Parameters in Fatiguing Bicycling Exercises","display_name":"Time Domain Features of Multi-channel EMG Applied to Prediction of Physiological Parameters in Fatiguing Bicycling Exercises","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2199246337","doi":"https://doi.org/10.3233/978-1-61499-589-0-118","mag":"2199246337"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-589-0-118","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-589-0-118","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116337845","display_name":"Ra zcaron anskas Petras","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ražanskas Petras","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116337846","display_name":"Verikas Antanas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Verikas Antanas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116337847","display_name":"Olsson Charlotte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olsson Charlotte","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116337848","display_name":"Viberg Per-Arne","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viberg Per-Arne","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5116337845"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0909378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"278","issue":null,"first_page":"118","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4418618679046631},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4191031754016876},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.40892642736434937},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13914519548416138},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.044844239950180054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4418618679046631},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4191031754016876},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.40892642736434937},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13914519548416138},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.044844239950180054}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-589-0-118","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-589-0-118","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2199246337","is_oa":false,"landing_page_url":"http://www.diva-portal.org/smash/record.jsf?pid=diva2:862405","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Frontiers in artificial intelligence and applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"set":[1],"of":[2,12,21,28,83,124],"novel":[3],"time-domain":[4,115],"features":[5],"characterizing":[6],"multi-channel":[7],"surface":[8],"EMG":[9],"(sEMG)":[10],"signals":[11],"six":[13],"muscles":[14,150],"(rectus":[15],"femoris,":[16],"vastus":[17],"lateralis,":[18],"and":[19,38,67,72,87,138],"semitendinosus":[20],"each":[22],"leg)":[23],"is":[24],"proposed":[25],"for":[26,121],"prediction":[27],"physiological":[29],"parameters":[30],"considered":[31],"important":[32,120],"in":[33],"cycling:":[34],"blood":[35],"lactate":[36,129],"concentration":[37],"oxygen":[39,145],"uptake.":[40],"Fifty-one":[41],"different":[42],"features,":[43],"including":[44],"phase":[45],"shifts":[46],"between":[47,59,136,156],"muscles,":[48,140],"active":[49],"time":[50],"percentages,":[51],"sEMG":[52,65,117],"amplitudes,":[53],"as":[54,56,107,109],"well":[55],"symmetry":[57],"measures":[58],"both":[60,122],"legs,":[61],"were":[62,93],"defined":[63],"from":[64],"data":[66],"used":[68],"to":[69,127,143],"train":[70],"linear":[71,91],"random":[73,77,102],"forest":[74,103],"models.":[75,125],"The":[76,90],"forests":[78],"models":[79,92,104,142],"achieved":[80],"the":[81,157],"coefficient":[82],"determination":[84],"R2=0.962":[85],"(lactate)":[86,111],"R2=0.980":[88],"(oxygen).":[89],"less":[94],"accurate.":[95],"Feature":[96],"pruning":[97],"applied":[98],"enabled":[99],"creating":[100],"accurate":[101],"(R2>0.9)":[105],"using":[106],"few":[108],"7":[110],"or":[112],"4":[113],"(oxygen)":[114],"features.":[116],"amplitude":[118],"was":[119],"types":[123],"Models":[126],"predict":[128,144],"also":[130,153],"relied":[131,147],"on":[132,148],"measurements":[133],"describing":[134],"interaction":[135],"front":[137,149],"back":[139],"while":[141],"uptake":[146],"only,":[151],"but":[152],"included":[154],"interactions":[155],"two":[158],"legs.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}