Analysis of sEMG signals using discrete wavelet transform for muscle fatigue detection
The purpose of the present article is to characterize sEMG signals to determine muscular fatigue levels. To do this, the signal is decomposed using the discrete wavelet transform, which offers noise filtering features, simplicity and efficiency. sEMG signals on the forearm were acquired and analyzed...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8944
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8944
- Palabra clave:
- Muscle fatigue
Semg
Wavelet transform
Bioinformatics
Discrete wavelet transforms
Muscle
Signal analysis
Signal processing
Signal reconstruction
Muscle fatigues
Muscular contraction
Muscular fatigues
Noise filtering
Semg
Semg signals
Wavelet transforms
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/