Fall risk in the aging population: fall prevention using smartphones technology and multiscale sample entropy

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 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.

Hubungan antara Forward Head Posture dengan Risiko Jatuh pada Lanjut Usia di Kelurahan Untia Kota Makassar

“…United Nations menyatakan bahwa sebanyak 646.000 jiwa meninggal dengan jumlah terbanyak di alami oleh lansia (Pashar & Efendi, 2022). Selain kematian, jatuh memberikan dampak imobilitas parsial maupun total pada lansia sehingga mempengaruhi kualitas hidup seperti trauma tulang belakang, cedera otot bahkan kelumpuhan (Garcés-Gómez et al, 2020). Jatuh adalah peristiwa ketika seseorang secara tidak sadar duduk atau bersandar di permukaan yang lebih rendah.…”