Cargando…
Reducing Noise, Artifacts and Interference in Single-Channel EMG Signals: A Review
Electromyography (EMG) is gaining importance in many research and clinical applications, including muscle fatigue detection, control of robotic mechanisms and prostheses, clinical diagnosis of neuromuscular diseases and quantification of force. However, EMG signals can be contaminated by various typ...
Autores principales: | Boyer, Marianne, Bouyer, Laurent, Roy, Jean-Sébastien, Campeau-Lecours, Alexandre |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059683/ https://www.ncbi.nlm.nih.gov/pubmed/36991639 http://dx.doi.org/10.3390/s23062927 |
Ejemplares similares
-
Allumo: Preprocessing and Calibration Software for Wearable Accelerometers Used in Posture Tracking
por: Fortin-Côté, Alexis, et al.
Publicado: (2019) -
Validity of Wearable Sensors at the Shoulder Joint: Combining Wireless Electromyography Sensors and Inertial Measurement Units to Perform Physical Workplace Assessments
por: Poitras, Isabelle, et al.
Publicado: (2019) -
The use of a three-dimensional dynamic arm support prevents the development of muscle fatigue during repetitive manual tasks in healthy individuals
por: Lavallée-Bourget, Marie-Hélène, et al.
Publicado: (2022) -
Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review
por: Poitras, Isabelle, et al.
Publicado: (2019) -
Development and Validation of Open-Source Activity Intensity Count and Activity Intensity Classification Algorithms from Raw Acceleration Signals of Wearable Sensors
por: Poitras, Isabelle, et al.
Publicado: (2020)