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	<title>cross-participant generalization &#8211; BIOENGINEER.ORG</title>
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		<title>Physics-Meets-AI Model Reads Muscle Fatigue Signals for Back Pain Rehab</title>
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		<pubDate>Mon, 05 Oct 2026 11:45:45 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Biomechanics]]></category>
		<category><![CDATA[chronic low back pain]]></category>
		<category><![CDATA[cross-participant generalization]]></category>
		<category><![CDATA[Hill force-velocity model]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[muscle fatigue]]></category>
		<category><![CDATA[physics-informed neural network]]></category>
		<category><![CDATA[probability calibration]]></category>
		<category><![CDATA[Rehabilitation]]></category>
		<category><![CDATA[surface electromyography]]></category>
		<category><![CDATA[trigger-state generation]]></category>
		<category><![CDATA[wearable health monitoring]]></category>
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					<description><![CDATA[A physics-informed neural network constrained by biomechanical laws achieved near-perfect recall in monitoring muscle fatigue from surface EMG signals across participants with chronic low back pain.]]></description>
		
		
		
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