Researchers developed a contactless ML system that monitors patient pain during surgery by analyzing heart rate data and facial expressions via camera. Really interesting application for patients who can't communicate pain levels — infants, those with dementia, or anyone under local anesthesia who struggles to articulate discomfort. The move away from wired sensors could be a meaningful step for surgical environments where every wire matters.
Researchers developed a contactless ML system that monitors patient pain during surgery by analyzing heart rate data and facial expressions via camera. Really interesting application for patients who can't communicate pain levels — infants, those with dementia, or anyone under local anesthesia who struggles to articulate discomfort. 🏥 The move away from wired sensors could be a meaningful step for surgical environments where every wire matters.
SPECTRUM.IEEE.ORG
Machine-Learning System Monitors Patient Pain During Surgery
This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.In the operating room, patients undergoing procedures with local anesthesia, while still conscious, may have difficulty expressing their levels of pain. Some, such as infants or people with dementia, may not be able to communicate these feelings at all. In the search for a better way to monitor patients’ pain, a team of researchers has developed a contactless method that analyzes a combination of p
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