Método para detecção do ONSET da atividade muscular para medida do limiar do reflexo de estiramento tônico

• Ano de defesa: 2015
• Autor(a) principal: Silva, Andrei Nakagawa
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Engenharia Elétrica; Engenharias; UFU
• Palavras-chave em Português: Espasticidade; Limiar do reflexo de estiramento tônico; Onset do sinal EMG; Eletromiografia; Engenharia biomédica; Spasticity; Tonic stretch reflex threshold; EMG onset; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: https://repositorio.ufu.br/handle/123456789/14610; https://doi.org/10.14393/ufu.di.2015.446

Spasticity isamotordisorderthatmightbecausedbystroke,spinalcordinjury, multiplesclerosisandcerebralpalsy,forexample.Itischaracterizedbyanincreaseof velocity-dependenttonicstretchreflex,causedbythehiperexcitabilityofthestretchre- flex.Thecorrectassessmentofspasticityisessentialtoclinicalpractice,helpinginthe proposal ofrehabilitationtherapiesthatarebettersuitedandtrackingofthepatient s condition moreaccurately.Inthiscontext,anewmethodhasbeenfoundinthelitera- ture basedonthemeasurementoftheTonicStretchReflexThreshold(TSRT).Thisisa more interestingalternativethantheothers,consideringthatisarepresentationofthe excitabilityofspinalcircuitsratherthanameasurementofthespasticlimbresistance feltduringapassivestretch.Bystudyingtheproposedmethodology,somepointswere foundthatcouldchangetheTSRTvalue,influencingtheoutcomeoftheclinicalasses- sment. Thedetectionoftheonsetofmuscularactivityintheelectromyographicsignal (EMG) isoneofthem.Thus,theobjectiveofthisworkwastoaddresstheprecision of differentEMGonsetdetectionmethodsthathasbeenusedformeasuringtheTSRT and checkhowtheywouldinterferewiththespasticityassessmentwhenappliedto real experimentalsignals.TheresultspresentedsuggeststhattheTSRTisdirected influenced bytheEMGonsetdetectionmethod.Furthermore,theonesthataremore precise,arelikelytoproducebetterresultswithregressionlinesthataremorelinear and, consequently,validTSRTvalues.