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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Paula Andrea Duque
Universidad Católica de Manizales
Computer Science & IT

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Fall risk in the aging population: fall prevention using smartphones technology and multiscale sample entropy Yeison Alberto Garcés-Gómez; Paula Andrea Duque; Angela Viviana Alzate-García; Nicolás Tóro-García
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 6: December 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i6.15980

Abstract

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 world wide. This paper presents the applicability ofa simple technique of analysis of gait signals capturedby 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 inpatients 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.
Co-Authors Angela Viviana Alzate-García Nicolás Toro-García Yeison Alberto Garcés-Gómez