Saner Hugo, Schuetz Narayan, Buluschek Philipp, Du Pasquier Guillaume, Ribaudo Giuseppe, Urwyler Prabitha, Nef Tobias
ARTORG Center for Biomedical Research, Gerontotechnology & Rehabilitation Group, University of Bern, Bern, Switzerland.
University Clinic for Cardiology, University Hospital, Inselspital Bern, Bern, Switzerland.
Front Cardiovasc Med. 2021 Feb 2;8:617682. doi: 10.3389/fcvm.2021.617682. eCollection 2021.
Home monitoring systems are increasingly used to monitor seniors in their apartments for detection of emergency situations. More recently, multimodal ambient sensor systems are also used to monitor digital biomarkers to detect clinically relevant health problems over longer time periods. Clinical signs of HF decompensation including increase of heart rate and respiration rate, decreased physical activity, reduced gait speed, increasing toilet use at night and deterioration of sleep quality have a great potential to be detected by non-intrusive contactless ambient sensor systems and negative changes of these parameters may be used to prevent further deterioration and hospitalization for HF decompensation. This is to our knowledge the first report about the potential of an affordable, contactless, and unobtrusive ambient sensor system for the detection of early signs of HF decompensation based on data with prospective data acquisition and retrospective correlation of the data with clinical events in a 91 year old senior with a serious heart problem over 1 year. The ambient sensor system detected an increase of respiration rate, heart rate, toilet use at night, toss, and turns in bed and a decrease of physical activity weeks before the decompensation. In view of the rapidly increasing prevalence of HF and the related costs for the health care systems and the societies, the real potential of our approach should be evaluated in larger populations of HF patients.
家庭监测系统越来越多地用于监测居住在公寓中的老年人,以发现紧急情况。最近,多模态环境传感器系统也被用于监测数字生物标志物,以在更长时间段内检测临床相关的健康问题。心力衰竭失代偿的临床体征,包括心率和呼吸频率增加、身体活动减少、步态速度减慢、夜间如厕次数增加以及睡眠质量下降,很有可能被非侵入式非接触式环境传感器系统检测到,这些参数的负面变化可用于预防心力衰竭失代偿的进一步恶化和住院治疗。据我们所知,这是第一份关于一种经济实惠、非接触式且不显眼的环境传感器系统基于前瞻性数据采集以及对一名患有严重心脏问题的91岁老年人超过1年的数据与临床事件进行回顾性关联,来检测心力衰竭失代偿早期迹象的潜力的报告。在失代偿前数周,环境传感器系统检测到呼吸频率、心率、夜间如厕次数、在床上辗转次数增加以及身体活动减少。鉴于心力衰竭的患病率迅速上升以及对医疗保健系统和社会造成的相关成本,我们这种方法的实际潜力应在更大规模的心力衰竭患者群体中进行评估。