Unobtrusive Sensors for the Assessment of Older Adult's Frailty: A Scoping Review

被引:2
|
作者
Cobo, Antonio [1 ,2 ]
Villalba-Mora, Elena [1 ,2 ]
Perez-Rodriguez, Rodrigo [3 ]
Ferre, Xavier [1 ]
Rodriguez-Manas, Leocadio [4 ,5 ]
机构
[1] Univ Politecn Madrid UPM, Ctr Biomed Technol CTB, Madrid 28223, Spain
[2] Ctr Invest Biomed Red Bioingn Biomat & Nanomed CI, Madrid 28029, Spain
[3] Hosp Getafe, Hosp Univ Getafe, Fdn Invest Biomed, Madrid 28905, Spain
[4] Hosp Getafe, Serv Geriatria, Madrid 28095, Spain
[5] Ctr Invest Biomed Red Fragilidad & Envejecimiento, Madrid 28029, Spain
关键词
unobtrusiveness; ubiquity; transparency; sensors; frailty syndrome; older people; smart home; SIT-TO-STAND; TEST-RETEST RELIABILITY; PHYSICAL-ACTIVITY; GAIT SPEED; SEDENTARY BEHAVIOR; WEARABLE TECHNOLOGY; FUNCTIONAL STATUS; SMART HOME; TRANSITIONS; PERFORMANCE;
D O I
10.3390/s21092983
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Ubiquity (devices becoming part of the context) and transparency (devices not interfering with daily activities) are very significant in healthcare monitoring applications for elders. The present study undertakes a scoping review to map the literature on sensor-based unobtrusive monitoring of older adults' frailty. We aim to determine what types of devices comply with unobtrusiveness requirements, which frailty markers have been unobtrusively assessed, which unsupervised devices have been tested, the relationships between sensor outcomes and frailty markers, and which devices can assess multiple markers. SCOPUS, PUBMED, and Web of Science were used to identify papers published 2010-2020. We selected 67 documents involving non-hospitalized older adults (65+ y.o.) and assessing frailty level or some specific frailty-marker with some sensor. Among the nine types of body worn sensors, only inertial measurement units (IMUs) on the waist and wrist-worn sensors comply with ubiquity. The former can transparently assess all variables but weight loss. Wrist-worn devices have not been tested in unsupervised conditions. Unsupervised presence detectors can predict frailty, slowness, performance, and physical activity. Waist IMUs and presence detectors are the most promising candidates for unobtrusive and unsupervised monitoring of frailty. Further research is necessary to give specific predictions of frailty level with unsupervised waist IMUs.
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页数:38
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