Literature DB >> 24992225

New methods for fall risk prediction.

Andreas Ejupi1, Stephen R Lord, Kim Delbaere.   

Abstract

PURPOSE OF REVIEW: Accidental falls are the leading cause of injury-related death and hospitalization in old age, with over one-third of the older adults experiencing at least one fall or more each year. Because of limited healthcare resources, regular objective fall risk assessments are not possible in the community on a large scale. New methods for fall prediction are necessary to identify and monitor those older people at high risk of falling who would benefit from participating in falls prevention programmes. RECENT
FINDINGS: Technological advances have enabled less expensive ways to quantify physical fall risk in clinical practice and in the homes of older people. Recently, several studies have demonstrated that sensor-based fall risk assessments of postural sway, functional mobility, stepping and walking can discriminate between fallers and nonfallers.
SUMMARY: Recent research has used low-cost, portable and objective measuring instruments to assess fall risk in older people. Future use of these technologies holds promise for assessing fall risk accurately in an unobtrusive manner in clinical and daily life settings.

Entities:  

Mesh:

Year:  2014        PMID: 24992225     DOI: 10.1097/MCO.0000000000000081

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  13 in total

Review 1.  Effect of Traditional Chinese Exercise on Gait and Balance for Stroke: A Systematic Review and Meta-Analysis.

Authors:  Bing-Lin Chen; Jia-Bao Guo; Ming-Shuo Liu; Xin Li; Jun Zou; Xi Chen; Ling-Li Zhang; Yu-Shan Yue; Xue-Qiang Wang
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

2.  Body Acceleration as Indicator for Walking Economy in an Ageing Population.

Authors:  Giulio Valenti; Alberto G Bonomi; Klaas R Westerterp
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

3.  The design of a purpose-built exergame for fall prediction and prevention for older people.

Authors:  Hannah R Marston; Ashley Woodbury; Yves J Gschwind; Michael Kroll; Denis Fink; Sabine Eichberg; Karl Kreiner; Andreas Ejupi; Janneke Annegarn; Helios de Rosario; Arno Wienholtz; Rainer Wieching; Kim Delbaere
Journal:  Eur Rev Aging Phys Act       Date:  2015-12-08       Impact factor: 3.878

4.  Kinect-based choice reaching and stepping reaction time tests for clinical and in-home assessment of fall risk in older people: a prospective study.

Authors:  Andreas Ejupi; Yves J Gschwind; Matthew Brodie; Wolfgang L Zagler; Stephen R Lord; Kim Delbaere
Journal:  Eur Rev Aging Phys Act       Date:  2016-01-30       Impact factor: 3.878

5.  Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features.

Authors:  Dylan Drover; Jennifer Howcroft; Jonathan Kofman; Edward D Lemaire
Journal:  Sensors (Basel)       Date:  2017-06-07       Impact factor: 3.576

6.  Better than counting seconds: Identifying fallers among healthy elderly using fusion of accelerometer features and dual-task Timed Up and Go.

Authors:  Moacir Ponti; Patricia Bet; Caroline L Oliveira; Paula C Castro
Journal:  PLoS One       Date:  2017-04-27       Impact factor: 3.240

7.  Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors.

Authors:  Andreas Ejupi; Carlo Menon
Journal:  Sensors (Basel)       Date:  2018-07-31       Impact factor: 3.576

8.  Tai Chi for improving balance and reducing falls: A protocol of systematic review and meta-analysis.

Authors:  Dongling Zhong; Qiwei Xiao; Mingxing He; Yuxi Li; Jing Ye; Hui Zheng; Lina Xia; Chi Zhang; Fanrong Liang; Juan Li; Rongjiang Jin
Journal:  Medicine (Baltimore)       Date:  2019-04       Impact factor: 1.817

9.  Review: Are we stumbling in our quest to find the best predictor? Over-optimism in sensor-based models for predicting falls in older adults.

Authors:  Tal Shany; Kejia Wang; Ying Liu; Nigel H Lovell; Stephen J Redmond
Journal:  Healthc Technol Lett       Date:  2015-08-03

10.  A novel accelerometry-based algorithm for the detection of step durations over short episodes of gait in healthy elderly.

Authors:  M Encarna Micó-Amigo; Idsart Kingma; Erik Ainsworth; Stefan Walgaard; Martijn Niessen; Rob C van Lummel; Jaap H van Dieën
Journal:  J Neuroeng Rehabil       Date:  2016-04-19       Impact factor: 4.262

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