AI reads your body signals to spot fatigue in real time
NCT ID NCT07066462
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This study tested whether an AI model can detect physical fatigue in healthy young adults by monitoring muscle, heart, and brain signals during exercise. Seventeen participants did cycling and squats while wearing non-invasive sensors. The goal was to see how accurately these signals predict fatigue, which could help improve training and prevent injury.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary โ we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary โ we know it does not capture everything.
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Locations
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National Taipei University, Master Program in Smart Healthcare Management
New Taipei City, 237303, Taiwan