Reliable and accurate information extraction from surface electromyographic signals

The electrical activity generated in contracting muscles is measured using electromyographic (EMG) signals. By placing an array of electrodes on the surface of the skin, surface EMG (sEMG) signals are recorded non-invasively. sEMG has applications in rehabilitation, sport science, kinesiology, ergonomics, muscle architecture identification, neurological disease diagnosis, prosthesis control and human–machine interfaces. In this chapter, the sEMG signal processing methods used in such applications are discussed, and critical issues are considered. Finally, a basic prosthesis control example is provided for interested readers.

• Autores: Reza Marateb, Hamid; Jordanic, Mislav; Rojas Martínez, Monica; Francesc Alonso, Joan; Serna, Leidy Yanet; Shirzadi, Mehdi; Nosouhi, Marjan; Mañanas, Miguel Ángel; McGill, Kevin C.
• Tipo de recurso: https://purl.org/coar/resource_type/c_6501
• Fecha de publicación: 2021
• Institución: Universidad El Bosque
• Repositorio: Repositorio U. El Bosque
• Idioma: eng
• OAI Identifier: oai:repositorio.unbosque.edu.co:20.500.12495/5522
• Acceso en línea: https://hdl.handle.net/20.500.12495/5522; https://doi.org/10.1088/978-0-7503-3279-8ch7
• License: Acceso abierto