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	<title>chronic pelvic pain disorders &#8211; BIOENGINEER.ORG</title>
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		<title>Simple AI on a Wristband Predicts When Women With Chronic Pelvic Pain Will Sit Too Long</title>
		<link>https://bioengineer.org/simple-ai-on-a-wristband-predicts-when-women-with-chronic-pelvic-pain-will-sit-too-long/</link>
		
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		<pubDate>Thu, 08 Oct 2026 21:24:02 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[chronic pelvic pain disorders]]></category>
		<category><![CDATA[Digital Health]]></category>
		<category><![CDATA[Endometriosis]]></category>
		<category><![CDATA[just-in-time adaptive interventions]]></category>
		<category><![CDATA[mHealth]]></category>
		<category><![CDATA[on-device learning]]></category>
		<category><![CDATA[physical activity]]></category>
		<category><![CDATA[privacy-preserving machine learning]]></category>
		<category><![CDATA[recursive least squares]]></category>
		<category><![CDATA[sedentary behavior]]></category>
		<category><![CDATA[time-series forecasting]]></category>
		<category><![CDATA[wearable devices]]></category>
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					<description><![CDATA[Mount Sinai researchers built a privacy-preserving, on-device forecasting system that uses simple linear models and Fitbit data to predict sedentary bouts in women with chronic pelvic pain disorders, enabling timely just-in-time activity prompts.]]></description>
		
		
		
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