{"componentChunkName":"component---src-templates-page-js","path":"/research/sleep-circadian-iot/","result":{"data":{"page":{"childMarkdownRemark":{"html":"<p>Creative Thinking Institute's research lineage moved from stress-performance monitoring into a broader question: how can physiology, behaviour, movement and clinical context be captured safely enough to support better care?</p>\n<p>That question led CTI into sleep, circadian health, wearable biosensors, soft sensing, movement analysis, rehabilitation monitoring and medical IoT data streams.</p>\n<h2>Why This Matters</h2>\n<p>Sleep, circadian rhythm and physiological recovery are not separate from healthcare delivery. They shape fatigue, performance, rehabilitation, perioperative risk, recovery and longer-term health outcomes.</p>\n<p>For CTI, this work became part of the bridge between early Regenemm and the current Regenemm Healthcare platform. It showed that healthcare AI cannot only read text. It must understand clinical context, physiological signals, timing, behaviour, consent, data quality and the way information moves between people.</p>\n<h2>The Research Arc</h2>\n<h3>From Stress to Physiology</h3>\n<p>Regenemm began as a mobile health platform focused on stress, performance and preventative health. It combined biometric signals, psychometric data, wearable devices and machine-learning methods.</p>\n<p>The next research step was physiology: sleep, circadian rhythm, movement, biosensor data and recovery patterns.</p>\n<h3>Soft Sensing and Movement Analysis</h3>\n<p>CTI's body movement work explored how wearable sensors could capture objective movement data, including joint movement, muscle activity and rehabilitation patterns.</p>\n<p>The clinical idea was simple: recovery should not rely only on subjective reporting or generic rehabilitation plans. Objective movement data can help clinicians understand whether a patient is doing too much, too little, or recovering in a way that needs a more personalised plan.</p>\n<h3>Sleep and Circadian Health</h3>\n<p>Sleep and circadian work extended the platform beyond day-to-day stress into deeper physiological rhythms. This research direction helped CTI think about fatigue, recovery, performance, perioperative risk and health monitoring as connected systems rather than isolated measurements.</p>\n<h3>Medical IoT Data Streams</h3>\n<p>Medical IoT thinking pushed the platform toward streaming data, edge-connected devices, cloud processing, data lineage and clinical dashboards.</p>\n<p>That work is part of the reason Regenemm Healthcare is now positioned as AI-native infrastructure rather than a single app.</p>\n<h2>What This Became</h2>\n<p>The current Regenemm Healthcare architecture carries this lineage forward:</p>\n<ul>\n<li>Specialist spokes capture clinical context close to the workflow.</li>\n<li>The Hub governs identity, consent, persistence, auditability, routing and compliance evidence.</li>\n<li>Regenemm Voice transforms clinical conversations into structured documentation and patient-facing summaries.</li>\n<li>Future biosensor and home-hub workflows can extend that shared transparency model into recovery, rehabilitation and remote monitoring.</li>\n</ul>\n<h2>Strategic Takeaway</h2>\n<p>CTI has been building toward AI-enabled healthcare since before generative AI became mainstream. The early work in stress, physiology, movement, sleep, biosensors and IoT created the foundation for a platform that now connects clinical conversations, structured health data, consent-aware workflows and audit-grade governance.</p>","frontmatter":{"slug":"research/sleep-circadian-iot","title":"Sleep, Circadian Health and Medical IoT","meta":{"title":"Sleep, Circadian Health and Medical IoT","description":"CTI research lineage across sleep physiology, circadian health, wearable biosensors, soft sensing, medical IoT and AI-native healthcare infrastructure."}}}}},"pageContext":{"name":"sleep-circadian-iot"}},"staticQueryHashes":["1216909356","2831923220"]}