{"id":"https://openalex.org/W1522300572","doi":"https://doi.org/10.1109/civemsa.2015.7158632","title":"A novel dot-plot algorithm for surface EMG signal segment identification","display_name":"A novel dot-plot algorithm for surface EMG signal segment identification","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1522300572","doi":"https://doi.org/10.1109/civemsa.2015.7158632","mag":"1522300572"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa.2015.7158632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2015.7158632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},"type":"article","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/A5006096871","display_name":"Enoch C. Y. Sit","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Enoch C. Y. Sit","raw_affiliation_strings":["Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042083053","display_name":"Yong Hu","orcid":"https://orcid.org/0000-0003-0305-5616"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yong Hu","raw_affiliation_strings":["Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006096871"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02010448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8088761568069458},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.6719738245010376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6584327220916748},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6288914084434509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6102636456489563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5525811910629272},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5191178321838379},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.513836681842804},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4836312532424927},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4666469097137451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45240598917007446},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43837684392929077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41082438826560974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2206903100013733},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07544434070587158}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8088761568069458},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.6719738245010376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6584327220916748},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6288914084434509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6102636456489563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5525811910629272},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5191178321838379},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.513836681842804},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4836312532424927},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4666469097137451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45240598917007446},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43837684392929077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41082438826560974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2206903100013733},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07544434070587158},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/civemsa.2015.7158632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa.2015.7158632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/213564","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/213564","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1977705205","https://openalex.org/W2035625064","https://openalex.org/W2063646365","https://openalex.org/W2115097977","https://openalex.org/W2135162413","https://openalex.org/W2154804136"],"related_works":["https://openalex.org/W2897156099","https://openalex.org/W2245242553","https://openalex.org/W1981338710","https://openalex.org/W3135697610","https://openalex.org/W3041711126","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W4390591638","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,21,36,88,97,116],"surface":[2,82],"EMG":[3,83],"signal":[4,84,123],"often":[5],"involve":[6],"in":[7,13,61,119],"many":[8],"scenarios":[9],"including":[10],"motion":[11,17],"classification":[12],"robotic":[14],"prostheses":[15],"and":[16],"segment":[18,118],"identification.":[19],"Many":[20],"them":[22],"require":[23],"a":[24,30,42,48,117,120],"threshold":[25,49,104],"that":[26,103],"is":[27,39,92,102,105],"predefined":[28],"or":[29,50,69],"training":[31,51],"data":[32,52],"set.":[33,53],"The":[34,71,86,94],"objective":[35],"this":[37],"paper":[38],"to":[40,44,63,80,109,125],"find":[41],"way":[43],"perform":[45,81],"segmentation":[46,100],"without":[47],"Dot":[54],"plot":[55,75],"analysis":[56,76],"has":[57],"been":[58],"widely":[59],"used":[60],"bioinformatics":[62],"identify":[64],"similar":[65],"segments":[66],"between":[67],"proteins":[68],"DNA.":[70],"philosophy":[72],"behind":[73],"dot":[74],"can":[77],"be":[78,110,126],"applied":[79],"segmentation.":[85],"properties":[87],"the":[89,98,113],"new":[90],"algorithm":[91,101],"examined.":[93],"major":[95],"advantage":[96],"dot-plot":[99],"no":[106],"long":[107],"need":[108,124],"estimated,":[111],"instead":[112],"minimal":[114],"length":[115],"time":[121],"series":[122],"declared.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
