title: Passive in-home health and wellness monitoring: overview, value and examples.
abstract: Modern sensor and communication technology, coupled with advances in data analysis and artificial intelligence techniques, is causing a paradigm shift in remote management and monitoring of chronic disease. In-home monitoring technology brings the added benefit of measuring individualized health status and reporting it to the care provider and caregivers alike, allowing timely and targeted preventive interventions, even in home and community based settings. This paper presents a paradigm for geriatric care based on monitoring older adults passively in their own living settings through placing sensors in their living environments or the objects they use. Activity and physiological data can be analyzed, archived and mined to detect indicators of early disease onset or changes in health conditions at various levels. Examples of monitoring systems are discussed and results from field evaluation pilot studies are summarized. The approach has shown great promise for a significant value proposition to all the stakeholders involved in caring for older adults. The paradigm would allow care providers to extend their services into the communities they serve.
authors: University of Virginia, Charlottesville, VA 22908, USA. malwan@agingtech.org
authors: Majd
authors: M
authors: Alwan
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control; D000203:Activities of Daily Living; D000368:Aged; D001185:Artificial Intelligence; D003195:Computer Communication Networks; D006699:Home Care Services; D006801:Humans; D008490:Medical Informatics / Q000379:methods; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000379:methods*; D008991:Monitoring, Physiologic / Q000295:instrumentation / Q000379:methods*; D017286:Polysomnography / Q000379:methods; D017216:Telemedicine / Q000295:instrumentation / Q000379:methods*; D013686:Telemetry / Q000379:methods*; D014159:Transducers