EMG pattern discrimination for patient-response control of FES in paraplegics for walker supported using artificial neural network (ANN)

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dc.contributor.authorKocyigit Yucel
dc.contributor.authorKarlik Bekir
dc.contributor.authorKorurek Mehmet
dc.date.accessioned2024-07-22T08:26:00Z
dc.date.available2024-07-22T08:26:00Z
dc.date.issued1996
dc.description.abstractFES (functional electrical stimulation) encompasses the use of electricity in functioning neural substrates. FES is used to restore lower limb function to individuals paralyzed by spinal cord injury. The system determines a patient-responsive manner using above-lesion surface EMG signals to activate standing and walking functions. In this work, classification of EMG patterns which were used by FES to restore lower limb function of walker-supported walking patients was done by using ANN.
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/20696
dc.language.isoEnglish
dc.publisherIEEE
dc.subjectBiomedical engineering
dc.subjectComputer simulation
dc.subjectElectric variables control
dc.subjectElectricity
dc.subjectElectrodes
dc.subjectElectromyography
dc.subjectMathematical models
dc.subjectPatient treatment
dc.subjectRegression analysis
dc.subjectSubstrates
dc.subjectWhite noise
dc.subjectAdaptive resonance theory
dc.subjectAutoregressive parameters
dc.subjectFunctional electrical stimulation
dc.subjectNeural substrates
dc.subjectParaplegics
dc.subjectPatient response control
dc.subjectWalker supported walking patients
dc.subjectNeural networks
dc.titleEMG pattern discrimination for patient-response control of FES in paraplegics for walker supported using artificial neural network (ANN)
dc.typeConference paper

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