AI reads your body signals to spot fatigue in real time
NCT ID NCT07066462
First seen Apr 29, 2026 · Last updated May 19, 2026 · Updated 5 times
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 performed cycling and squats while wearing non-invasive sensors. The goal was to see how accurately AI could predict fatigue in real time.
Disclaimer
Read more
Show less
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 — 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 — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for HEALTHY YOUNG ADULTS are added.
Genom att skicka in godkänner du våra Användarvillkor
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
Genom att skicka in godkänner du våra Användarvillkor
Locations
-
National Taipei University, Master Program in Smart Healthcare Management
New Taipei City, 237303, Taiwan
Conditions
Explore the condition pages connected to this study.