TY - JOUR AU - Rawtaer, Iris AU - Mahendran, Rathi AU - Kua, Ee Heok AU - Tan, Hwee Pink AU - Tan, Hwee Xian AU - Lee, Tih-Shih AU - Ng, Tze Pin PY - 2020 DA - 20/5/5 TI -早期检测轻度认知障碍，监测新加坡社区居住老年人的行为模式:横断可行性研究JO - J医学互联网Res SP - e16854 VL - 22 IS - 5 KW -痴呆症KW -神经认知障碍KW -模式识别，自动化/方法KW -物联网KW -早期诊断AB -背景:痴呆症是一种全球性流行病，对受影响的家庭和医疗保健系统造成巨大负担。干预的机会之窗是被称为轻度认知障碍(MCI)的痴呆前期阶段。个人往往在疾病发展的晚期才接受治疗，需要做更多的工作以便及早发现;传感器技术是一种很有潜力的检测方法。目的:本横断面研究的目的是建立可行性和可接受的利用传感器在家中的老年人，以检测行为的变化，不引人注目。方法:我们招募了59名患有和不患有MCI的社区独居老年人(年龄为> ~ 65岁)，并对他们进行了为期2个月的观察。通过标记个人物品和跟踪漏服药物剂量来监测健忘的频率。使用被动红外运动传感器、智能插头、床传感器和可穿戴活动带跟踪步数、离家时间、电视使用、睡眠时长和质量等活动。研究人员还对认知、抑郁、睡眠和社会联系进行了测量。 Results: Of the 49 participants who completed the study, 28 had MCI and 21 had healthy cognition (HC). Frequencies of various sensor-derived behavior metrics were computed and compared between MCI and HC groups. MCI participants were less active than their HC counterparts and had more sleep interruptions per night. MCI participants had forgotten their medications more times per month compared with HC participants. The sensor system was acceptable to over 80% (40/49) of study participants, with many requesting for permanent installation of the system. Conclusions: We demonstrated that it was both feasible and acceptable to set up these sensors in the community and unobtrusively collect data. Further studies evaluating such digital biomarkers in the homes in the community are needed to improve the ecological validity of sensor technology. We need to refine the system to yield more clinically impactful information. SN - 1438-8871 UR - //www.mybigtv.com/2020/5/e16854 UR - https://doi.org/10.2196/16854 UR - http://www.ncbi.nlm.nih.gov/pubmed/32369031 DO - 10.2196/16854 ID - info:doi/10.2196/16854 ER -