Remote Monitoring of Physiology in People Living With Dementia: An Observational Cohort Study

作者：Michael David, Magdalena Kolanko, Martina Del Giovane, Helen Lai, Jessica True, Emily Beal, Lucia M. Li, Ramin Nilforooshan, Payam Barnaghi, Paresh Malhotra, Helen Rostill, David Wingfield, Danielle Wilson, Sarah Daniels, David Sharp, Gregory Scott · 发表于：JMIR Aging · 年份：2023 · DOI：10.2196/43777 · 被引用次数：21 · 研究领域：Non-Invasive Vital Sign Monitoring、Dementia and Cognitive Impairment Research、Healthcare Technology and Patient Monitoring

BACKGROUND: Internet of Things (IoT) technology enables physiological measurements to be recorded at home from people living with dementia and monitored remotely. However, measurements from people with dementia in this context have not been previously studied. We report on the distribution of physiological measurements from 82 people with dementia over approximately 2 years. OBJECTIVE: Our objective was to characterize the physiology of people with dementia when measured in the context of their own homes. We also wanted to explore the possible use of an alerts-based system for detecting health deterioration and discuss the potential applications and limitations of this kind of system. METHODS: We performed a longitudinal community-based cohort study of people with dementia using "Minder," our IoT remote monitoring platform. All people with dementia received a blood pressure machine for systolic and diastolic blood pressure, a pulse oximeter measuring oxygen saturation and heart rate, body weight scales, and a thermometer, and were asked to use each device once a day at any time. Timings, distributions, and abnormalities in measurements were examined, including the rate of significant abnormalities ("alerts") defined by various standardized criteria. We used our own study criteria for alerts and compared them with the National Early Warning Score 2 criteria. RESULTS: A total of 82 people with dementia, with a mean age of 80.4 (SD 7.8) years, recorded 147,203 measurements over ...