Behavioral Analytics is the New Medical Device
Rhoda Au, Boston University, Laura McIntosh, EmPowerYu. This project will use in-home multimodal sensors to detect changes in daily life activity patterns that indicate fluctuations in cognitive status.
Towards an AI-based Care Plan for ADRD Caregiver-patient Dyads
G. Antonio Sosa-Pascual, REOFTech. Michael Busa, UMass Amherst. This project aims to collect data from wearables and smart home sensors to determine the state, rate, and direction of change in dementia patient agitation and caregiver well-being.
Validating a Remote Sensor for Continuous Health Monitoring of Older Adults to Support Aging in Place and AD/ADRD Care Management
Ryan Gooch, TellUs You Care. Rebecca Spencer, UMass Amherst. This study will test Tellus's machine learning algorithms for tracking physiological and behavioral status using data from Tellus' radar device.
Early acute illness detection in delirium and dementia
Jane Saczynski, Northeastern University. Edward Marcantonio, Beth Israel Deaconess Medical Center. Acute illness presents in the most vulnerable organ in the body, among patients with dementia that organ is the brain and acute illness often presents first as delirium, an acute confusional state. This project will evaluate home monitoring devices as early indicators of acute illness in persons with dementia.
Detecting frailty in home environments through non-invasive whole room body heat sensing in older adults
Amanda Paluch, UMass Amherst. Dae Hyun Kim, Hebrew SeniorLife. Rags Gupta, Butlr Technologies Inc. This AITC pilot project explored the use of non-invasive, ceiling-mounted heat sensors to detect frailty in older adults living in senior communities.