EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/40257 |
Resumo: | Physical activity is a constant in life, prolonging since the primordial times until now as an intrinsic element of human condition, though his character have suffered a transmutation, going from a need, by the predatory nature of the human being, for an option in escaping sedentary habits of contemporary society. Despite the enormous benefits of sports practice, there are also some negative consequences associated, namely the emergence of muscular injuries provided by the installation of fatigue, due to an overload on time or in the intensity of training. The consequences of an injury are drastic, conditioning the quotidian of the injured and carrying high costs for the health system, establishing this problem as the starting point of the present work. Although investigations on this subject have recently appeared, yet is not common to find commercial solutions for evaluating fatigue and with the capability of warning the user about the risk of injury. In order to avoid the fatigue consequences, is proposed the implementation of a computational system for physiological signal processing - Electromyographic (EMG) and Electrocardiographic (ECG) - extracting multiple indexes with informative potential at fatigue level. There is provided an automatic evaluation of the state of fatigue assured by the definition of a Global Fatigue Index that synthesises information from distinct individual fatigue indexes and implementation of a Classification System, with the capability of giving to the user the indication if the physical activity is originating the approximation or deviation from fatigue state. The computer system was built for a future integration as a plugin on a signal acquisition software. This framework is a specialized tool for acquiring and processing of the physiological signals collected in equipments such as bitalino and biosignalsplux, being directed to the practice of indoor cycling. |
id |
RCAP_48f70ecc9cb2298d37a29e1c6ff8c6be |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/40257 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury PreventionOnline ProcessingOffline ProcessingBiosignalsMonitoring of Fatigue LevelsMachine-LearningGlobal Fatigue IndexDomínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e TecnologiasPhysical activity is a constant in life, prolonging since the primordial times until now as an intrinsic element of human condition, though his character have suffered a transmutation, going from a need, by the predatory nature of the human being, for an option in escaping sedentary habits of contemporary society. Despite the enormous benefits of sports practice, there are also some negative consequences associated, namely the emergence of muscular injuries provided by the installation of fatigue, due to an overload on time or in the intensity of training. The consequences of an injury are drastic, conditioning the quotidian of the injured and carrying high costs for the health system, establishing this problem as the starting point of the present work. Although investigations on this subject have recently appeared, yet is not common to find commercial solutions for evaluating fatigue and with the capability of warning the user about the risk of injury. In order to avoid the fatigue consequences, is proposed the implementation of a computational system for physiological signal processing - Electromyographic (EMG) and Electrocardiographic (ECG) - extracting multiple indexes with informative potential at fatigue level. There is provided an automatic evaluation of the state of fatigue assured by the definition of a Global Fatigue Index that synthesises information from distinct individual fatigue indexes and implementation of a Classification System, with the capability of giving to the user the indication if the physical activity is originating the approximation or deviation from fatigue state. The computer system was built for a future integration as a plugin on a signal acquisition software. This framework is a specialized tool for acquiring and processing of the physiological signals collected in equipments such as bitalino and biosignalsplux, being directed to the practice of indoor cycling.Gamboa, HugoQuintão, CarlaRUNRamos, Guilherme Alexandre dos Santos Espadanal2018-06-26T15:08:43Z2018-0520182018-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/40257enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:22:00Zoai:run.unl.pt:10362/40257Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:31:14.684136Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention |
title |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention |
spellingShingle |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention Ramos, Guilherme Alexandre dos Santos Espadanal Online Processing Offline Processing Biosignals Monitoring of Fatigue Levels Machine-Learning Global Fatigue Index Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias |
title_short |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention |
title_full |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention |
title_fullStr |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention |
title_full_unstemmed |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention |
title_sort |
EMG Signal Processing in Amateur and Professional Sports with Performance Evaluation and Injury Prevention |
author |
Ramos, Guilherme Alexandre dos Santos Espadanal |
author_facet |
Ramos, Guilherme Alexandre dos Santos Espadanal |
author_role |
author |
dc.contributor.none.fl_str_mv |
Gamboa, Hugo Quintão, Carla RUN |
dc.contributor.author.fl_str_mv |
Ramos, Guilherme Alexandre dos Santos Espadanal |
dc.subject.por.fl_str_mv |
Online Processing Offline Processing Biosignals Monitoring of Fatigue Levels Machine-Learning Global Fatigue Index Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias |
topic |
Online Processing Offline Processing Biosignals Monitoring of Fatigue Levels Machine-Learning Global Fatigue Index Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias |
description |
Physical activity is a constant in life, prolonging since the primordial times until now as an intrinsic element of human condition, though his character have suffered a transmutation, going from a need, by the predatory nature of the human being, for an option in escaping sedentary habits of contemporary society. Despite the enormous benefits of sports practice, there are also some negative consequences associated, namely the emergence of muscular injuries provided by the installation of fatigue, due to an overload on time or in the intensity of training. The consequences of an injury are drastic, conditioning the quotidian of the injured and carrying high costs for the health system, establishing this problem as the starting point of the present work. Although investigations on this subject have recently appeared, yet is not common to find commercial solutions for evaluating fatigue and with the capability of warning the user about the risk of injury. In order to avoid the fatigue consequences, is proposed the implementation of a computational system for physiological signal processing - Electromyographic (EMG) and Electrocardiographic (ECG) - extracting multiple indexes with informative potential at fatigue level. There is provided an automatic evaluation of the state of fatigue assured by the definition of a Global Fatigue Index that synthesises information from distinct individual fatigue indexes and implementation of a Classification System, with the capability of giving to the user the indication if the physical activity is originating the approximation or deviation from fatigue state. The computer system was built for a future integration as a plugin on a signal acquisition software. This framework is a specialized tool for acquiring and processing of the physiological signals collected in equipments such as bitalino and biosignalsplux, being directed to the practice of indoor cycling. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-26T15:08:43Z 2018-05 2018 2018-05-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/40257 |
url |
http://hdl.handle.net/10362/40257 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137935684009984 |