title: Comparative muscle study fatigue with sEMG signals during the isotonic and isometric tasks for diagnostics purposes.
abstract: The study of fatigue is an important tool for diagnostics of disease, sports, ergonomics and robotics areas. This work deals with the analysis of sEMG most important fatigue muscle indicators with use of signal processing in isometric and isotonic tasks with the propose of standardizing fatigue protocol to select the data acquisition and processing with diagnostic proposes. As a result, the slope of the RMS, ARV and MNF indicators were successful to describe the fatigue behavior expected. Whereas that, MDF and AIF indicators failed in the description of fatigue. Similarly, the use of a constant load for sEMG data acquisition was the best strategy in both tasks.
authors.affiliation: Programa de Pós-graduação em Biotecnologia RENORBIO and Departamento de Engenharia Elétrica, Universidade Federal do Espírito Santo, Vitoria 29075-910, Brazil. jfsarmi@gmail.com
authors.forename: Jhon F
authors.initials: JF
authors.lastname: Sarmiento
authors.forename: Alessandro B
authors.initials: AB
authors.lastname: Benevides
authors.forename: Marcelo H
authors.initials: MH
authors.lastname: Moreira
authors.forename: Arlindo
authors.initials: A
authors.lastname: Elias
authors.forename: Teodiano F
authors.initials: TF
authors.lastname: Bastos
authors.forename: Ian V
authors.initials: IV
authors.lastname: Silva
authors.forename: Claudinei C
authors.initials: CC
authors.lastname: Pelegrina
mesh_terms: D004576:Electromyography / Q000379:methods; D006804:Ergonomics; D006801:Humans; D007537:Isometric Contraction; D007551:Isotonic Contraction; D008953:Models, Anatomic; D008991:Monitoring, Physiologic / Q000379:methods; D009048:Motor Skills; D009119:Muscle Contraction / Q000502:physiology; D018763:Muscle Fatigue; D018482:Muscle, Skeletal / Q000502:physiology; D011187:Posture; D012044:Regression Analysis; D012371:Robotics; D012815:Signal Processing, Computer-Assisted; D015398:Signal Transduction; D013997:Time Factors