Estimating proximity to muscular failure using surface EMG and deep learning

Key Points

• Proximity to muscular failure is accurately estimated using surface EMG data—important for athletes.
• The model achieved an accuracy of 87% in predicting muscular failure during exercises, indicating its reliability.
• Assessment using deep learning models allowed for processing complex surface EMG signals effectively.
• These findings may enable better training strategies, but further validation across diverse populations is necessary.