International Internal Medicine Journal(IIMJ)
ISSN: 2837-4835 | DOI: 10.33140/IIMJ
Impact Factor: 1.02
Emnet Kebede Worassa
Department of Biomedical Engineering, College of Medicine and Health Science, Hawassa University, Hawassa, Ethiopia
Publications
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Research Article
Muscle Fatigue Analysis and Stress Detection from Surface EMG and ECG Data Obtained Using Deep Learning for Upper-Limb Trauma Rehabilitation
Author(s): Emnet Kebede Worassa*, Kinde Anlay Fante, Genet Tadese Aboye and Ewunate Assaye Kassaw
Background: The repetitive nature of physical rehabilitation may result in excess muscular fatigue, which can adversely impact an individual's motor function, leading to discomfort or even physical injury. Moreover, individuals who have experienced trauma tend to encounter difficulties concentrating, which can significantly impede their physical capabilities. Regrettably, existing therapeutic approaches do not appear to consider the potential mental exhaustion of patients. This study aimed to create a bidirectional long short-term memory (Bi-LSTM) model for assessing muscle fatigue stage and mental stress conditions during physical rehabilitation of trauma-injured patients. Methods: Data corresponding to 188 EMG signals and 223 ECG signals were collected from the Jimma University physiotherapy clinic and prepared for signal processing. S.. Read More»