Monitoring body positions and movements during sleep using WISPs
WH '10 Wireless Health 2010
Tracking influence of reflective exercise for persons with epilepsy
Proceedings of the conference on Wireless Health
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We demonstrate a subset of the components used in a real-time depression monitoring product for the home. This system runs 24/7 and can potentially detect the early signs of a depression episode, as well as track progress managing a depressive illness. In the complete system, a cohesive set of integrated wireless sensors, a touch screen station, and associated software deliver the above capabilities. The data collected are multi-modal, spanning a number of different behavioral domains including sleep, weight, activities of daily living, and speech prosody. The reports generated by this aggregated data across multiple behavioral domains are aimed to provide caregivers with more accurate and thorough information about the patient's current functioning, thus helping in their diagnostic assessment and therapeutic treatment planning as well as for patients in the management and tracking of their symptoms. We show how the sleep monitoring module can collect bed movements to infer sleeping times and periods of restlessness, and we also present the caregiver display with its series of reports of patient emotional health.