Instrumentación Virtual Aplicada al Análisis y Procesado de Señales de Electromiografía (EMG)
- Iñigo Oleagordia Aguirre 1
- José I. San Martín Díaz 2
- Aitor J. Garrido Hernández 3
- Pedro Rodríguez López 4
- 1 Dpto. de Tecnología Electrónica de la Universidad del País Vasco/Euskal Herriko Unibertsitatea
- 2 Dpto. de Ingeniería Eléctrica de la Universidad del País Vasco/Euskal Herriko Unibertsitatea
- 3 Dpto. de Ingeniería de Sistemas y Automática de la Universidad del País Vasco/Euskal Herriko Unibertsitatea
- 4 Dpto. de Dpto. de Tecnología Electrónica de la Universidad del País Vasco/Euskal Herriko Unibertsitatea.
- Alfonso Lago Ferreiro (ed. lit.)
- Manuel G. Gericota (ed. lit.)
Publisher: Universidade de Vigo
ISBN: 978-84-8158-732-6
Year of publication: 2017
Pages: 57-64
Type: Book chapter
Abstract
This paper describes the methodology, development, implementation and evaluation of a learning environment applied to the analysis and processing of electromyographic signals (EMG) using virtual instrumentation. For this purpose, both the LabVIEW Biomedical Toolkit and "ad hoc" programs have been used, being this last one the option described. As well as this, an assessment of the effectiveness, efficiency and teaching projection of this learning environment has been developed. Using this "ad hoc" virtual instrumentation a representation and processing of the signal is made among the domain of time and frequency. Doing so, the RMS value, integral value, the mean and median frequencies, can be calculated. This material and teaching experience belong to the Continuing Education Course in Bioelectronics, more specifically to the module titled "Analysis and Processing of Bioelectrical Signals" taught at the University School of Technical Industrial Engineering (EUITI) of Bilbao, from the University of the Basque Country UPV / EHU during the academic year 2014/2015.