{"id":"https://openalex.org/W7163155414","doi":"https://doi.org/10.1109/memea69746.2026.11537316","title":"A Portable sEMG and Electrogoniometry Measurement System for Real-Time Sports Applications","display_name":"A Portable sEMG and Electrogoniometry Measurement System for Real-Time Sports Applications","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7163155414","doi":"https://doi.org/10.1109/memea69746.2026.11537316"},"language":null,"primary_location":{"id":"doi:10.1109/memea69746.2026.11537316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea69746.2026.11537316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Medical Measurements &amp;amp; Applications (MeMeA)","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/A5086366770","display_name":"Esteban J. Pino","orcid":"https://orcid.org/0000-0002-2636-051X"},"institutions":[{"id":"https://openalex.org/I172787465","display_name":"University of Concepci\u00f3n","ror":"https://ror.org/0460jpj73","country_code":"CL","type":"education","lineage":["https://openalex.org/I172787465"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Esteban J. Pino","raw_affiliation_strings":["Universidad de Concepcion Concepcion,Electrical Engineering Dept,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Concepcion Concepcion,Electrical Engineering Dept,Chile","institution_ids":["https://openalex.org/I172787465"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137653650","display_name":"Catalina Reyes Cama\u00f1o","orcid":null},"institutions":[{"id":"https://openalex.org/I172787465","display_name":"University of Concepci\u00f3n","ror":"https://ror.org/0460jpj73","country_code":"CL","type":"education","lineage":["https://openalex.org/I172787465"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Catalina Reyes Cama\u00f1o","raw_affiliation_strings":["Universidad de Concepcion Concepcion,Electrical Engineering Dept,Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Concepcion Concepcion,Electrical Engineering Dept,Chile","institution_ids":["https://openalex.org/I172787465"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086366770"],"corresponding_institution_ids":["https://openalex.org/I172787465"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8752707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.15960000455379486,"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":0.15960000455379486,"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"}},{"id":"https://openalex.org/T12279","display_name":"Body Composition Measurement Techniques","score":0.06509999930858612,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.061500001698732376,"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/system-of-measurement","display_name":"System of measurement","score":0.5184000134468079},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4074000120162964},{"id":"https://openalex.org/keywords/measurement-device","display_name":"Measurement device","score":0.3059999942779541},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.29580000042915344},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2685000002384186}],"concepts":[{"id":"https://openalex.org/C37649242","wikidata":"https://www.wikidata.org/wiki/Q932268","display_name":"System of measurement","level":2,"score":0.5184000134468079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045999884605408},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34940001368522644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30649998784065247},{"id":"https://openalex.org/C3019950295","wikidata":"https://www.wikidata.org/wiki/Q2041172","display_name":"Measurement device","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25920000672340393},{"id":"https://openalex.org/C62646347","wikidata":"https://www.wikidata.org/wiki/Q2041172","display_name":"Measuring instrument","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea69746.2026.11537316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea69746.2026.11537316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Medical Measurements &amp;amp; Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.47253182530403137,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2071920517","https://openalex.org/W2156914236","https://openalex.org/W2899155139","https://openalex.org/W2901295840","https://openalex.org/W3036625649","https://openalex.org/W3101223783","https://openalex.org/W3115975374","https://openalex.org/W4327857202"],"related_works":[],"abstract_inverted_index":{"Portable":[0],"monitoring":[1,222],"of":[2,25,47,84,171,223,268],"neuromuscular":[3,258],"and":[4,22,36,69,101,109,136,168,193,228,243,259],"kinematic":[5,260],"variables":[6],"is":[7,52],"increasingly":[8],"relevant":[9],"for":[10,44,81,149,257,272],"sports":[11],"training":[12,236],"applications":[13],"outside":[14],"laboratory":[15],"environments.":[16,237],"This":[17],"paper":[18],"presents":[19],"the":[20,110,161,174,217,251,266],"design":[21],"experimental":[23,141],"evaluation":[24],"a":[26,62,78,248,254],"portable":[27,249],"multimodal":[28,255],"measurement":[29],"system":[30,51,125,252],"integrating":[31,239],"six-channel":[32],"surface":[33],"electromyography":[34],"(sEMG)":[35],"eight-channel":[37],"accelerometer-based":[38,122],"electrogoniometry,":[39,242],"providing":[40],"14":[41],"acquisition":[42,72],"channels":[43],"real-time":[45,244],"assessment":[46],"upper-limb":[48],"exercises.":[49,139],"The":[50,124,140],"based":[53],"on":[54],"off-the-shelf":[55],"components,":[56],"including":[57],"an":[58],"ESP32":[59],"microcontroller":[60],"with":[61,73,128],"12-bit":[63],"ADC":[64],"operating":[65],"at":[66],"500":[67],"Hz,":[68],"supports":[70],"multichannel":[71,240],"wireless":[74],"Bluetooth":[75],"transmission":[76],"to":[77],"host":[79],"computer":[80],"realtime":[82],"visualization":[83],"processed":[85],"metrics.":[86],"Muscle":[87],"activation":[88,159,180],"was":[89,119,126],"quantified":[90],"using":[91,106,121],"normalized":[92],"root":[93],"mean":[94],"square":[95],"(RMS)":[96],"values,":[97],"while":[98],"bilateral":[99],"asymmetry":[100,205],"muscle":[102,158,224],"fatigue":[103,113,226],"were":[104],"assessed":[105],"RMS-based":[107],"indices":[108],"Dimitrov":[111],"spectral":[112],"index,":[114],"respectively.":[115],"Joint":[116],"angular":[117],"displacement":[118],"measured":[120],"electrogoniometers.":[123],"evaluated":[127],"fourteen":[129],"trained":[130],"CrossFit":[131],"athletes":[132],"performing":[133],"upright":[134,162],"row":[135,163],"military":[137,175],"press":[138,176],"protocol":[142],"included":[143],"maximal":[144],"voluntary":[145],"contraction":[146],"(MVC)":[147],"trials":[148],"normalization,":[150],"followed":[151],"by":[152],"dynamic":[153,232],"repetitions.":[154],"Results":[155],"showed":[156],"that":[157,216],"during":[160,231,262],"ranged":[164],"between":[165,182],"$40":[166],"\\%$":[167,170,209],"$120":[169],"MVC,":[172],"whereas":[173],"exhibited":[177],"more":[178],"stable":[179],"levels":[181],"$\\mathbf{6":[183],"0":[184],"-":[185,196],"8":[186],"5":[187,195],"\\%}$":[188,199],"MVC":[189,200],"in":[190,201,210,234,247],"male":[191],"participants":[192],"$\\mathbf{5":[194],"7":[197,198],"female":[202],"participants.":[203],"Bilateral":[204],"values":[206],"exceeded":[207],"$18":[208],"some":[211],"cases.":[212],"These":[213],"results":[214],"demonstrate":[215],"proposed":[218],"platform":[219],"enables":[220],"synchronized":[221],"activation,":[225],"progression,":[227],"joint":[229],"kinematics":[230],"exercises":[233],"real":[235],"By":[238],"sEMG,":[241],"metric":[245],"computation":[246],"architecture,":[250],"provides":[253],"framework":[256],"analysis":[261],"strength-training":[263],"exercises,":[264],"supporting":[265],"development":[267],"practical":[269],"biofeedback":[270],"tools":[271],"performance":[273],"monitoring.":[274]},"counts_by_year":[],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2026-06-03T00:00:00"}
