Sensors, Vol. 23, Pages 1323: Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review

Sensors, Vol. 23, Pages 1323: Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review Sensors doi: 10.3390/s23031323 Authors: Ricardo A. Torres-Guzman Margaret R. Paulson Francisco R. Avila Karla Maita John P. Garcia Antonio J. Forte Michael J. Maniaci In the US, at least one fall occurs in at least 28.7% of community-dwelling seniors 65 and older each year. Falls had medical costs of USD 51 billion in 2015 and are projected to reach USD 100 billion by 2030. This review aims to discuss the extent of smartphone (SP) usage in fall detection and prevention across a range of care settings. A computerized search was conducted on six electronic databases to investigate the use of remote sensing technology, wireless technology, and other related MeSH terms for detecting and preventing falls. After applying inclusion and exclusion criteria, 44 studies were included. Most of the studies targeted detecting falls, two focused on detecting and preventing falls, and one only looked at preventing falls. Accelerometers were employed in all the experiments for the detection and/or prevention of falls. The most frequent course of action following a fall event was an alarm to the guardian. Numerous studies investigated in this research used accelerometer data analysis, machine learning, and data from previous falls to devise a boundary and increase detection accuracy. SP was found to have potential as a fall detection system...
Source: Sensors - Category: Biotechnology Authors: Tags: Systematic Review Source Type: research