文章基本信息

标题：Fall risk in the aging population: fall prevention using smartphones technology and multiscale sample entropy
本地全文：下载
作者：Yeison Alberto Garcés-Gómez ; Paula Andrea Duque ; Angela Viviana Alzate-García 等
期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2020
卷号：18
期号：6
页码：3058-3066
DOI：10.12928/telkomnika.v18i6.15980
出版社：Universitas Ahmad Dahlan
摘要：Falls are an important aspect of older people's health because they trigger major injuries and even death in one-third of fallen patients, making them a major public health problem. Given the risk of physical and psychological injury, if serious injuries occur as a result of a fall, prevention is an important consideration in today's health care landscape, where the population is predominantly adult worldwide. This paper presents the applicability of a simple technique of analysis of gait signals captured by mobile devices with the objective to the generation of early warnings on the risk of falls in older adults, which correlates with subjective scales. The technique is tested in a population of patients showing results of the significant risk of falls in patients that the subjective scales could not detect, demonstrating that mobile devices and signal processing can become important tools in the service of elderly care in fall risk prevention.
关键词：elderly; fall risk; falls prevention; inertial sensor; smartphone accelerometer; technology;