Conventional sleep diagnostics often force patients to sleep in unfamiliar clinical environments while tethered to two dozen wires, a process that can distort the very sleep patterns doctors aim to measure. The new HoneyNaps architecture replaces this cumbersome setup with a Head, Chest, Body, and Leg sensor. Despite the reduction in hardware, the system maintains medical-grade accuracy, capturing EEG, EOG, ECG, EMG, respiratory airflow, and blood oxygen saturation levels without a single cable.
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HoneyNaps Unveils Wireless Patch System for Sleep Diagnostics
Moving away from the traditional tangle of 24 wired sensors, HoneyNaps has introduced a wireless polysomnography platform that consolidates essential diagnostic data into four compact skin patches. The system pairs this wearable hardware with AI-driven analysis to streamline sleep studies in both clinical and home settings.
Technological innovation within the patches includes a six-layer flexible printed circuit board and integrated noise-reduction circuitry, ensuring data integrity during overnight monitoring. Once collected, the physiological data feeds into SOMNUM, the company's proprietary AI software. This platform automates the scoring of sleep stages, apnea events, and limb movements, shifting the burden of interpretation from manual clinician review to real-time edge computing. Sean Ha, President of HoneyNaps USA, noted that the integration of these sensors and software aims to modernize diagnostics, potentially transitioning sleep medicine from centralized hospital labs to more accessible home-based monitoring.
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