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The document discusses using mechanomyography (MMG) signals to detect muscle fatigue in patients with spinal cord injuries during electrically stimulated cycling. MMG signals were recorded from quadriceps muscles during cycling and categorized as non-fatigued or fatigued. Mel frequency cepstral coefficients (MFCC) were extracted from the MMG signals and used to train a support vector machine classifier, achieving an average accuracy of 90.7% for detecting fatigue.

Author

mariasol63

Language

EN