Instrumented Timed Up and Go Test (iTUG)-More Than Assessing Time to Predict Falls: A Systematic Review

被引:59
作者
Ortega-Bastidas, Paulina [1 ,2 ]
Gomez, Britam [3 ]
Aqueveque, Pablo [4 ]
Luarte-Martinez, Soledad [2 ]
Cano-de-la-Cuerda, Roberto [5 ]
机构
[1] Univ Rey Juan Carlos, Int Doctoral Sch, Hlth Sci PhD Programme, Madrid 28922, Spain
[2] Univ Concepcion, Fac Med, Kinesiol Dept, 151 Janequeo St, Concepcion 4030000, Chile
[3] Univ Santiago Chile, Fac Engn, Biomed Engn, Libertador Bernardo OHiggins Ave, Santiago 9170022, Chile
[4] Univ Concepcion, Fac Engn, Dept Elect Engn, 219 Edmundo Larenas St, Concepcion 4030000, Chile
[5] Univ Rey Juan Carlos, Physiotherapy Occupat Therapy Rehabil & Phys Med, Madrid 28922, Spain
关键词
instrumented timed up and go; risk of falls; elderly; OLDER-ADULTS; PSYCHOMETRIC PROPERTIES; PERFORMANCE TESTS; INERTIAL SENSORS; RISK-ASSESSMENT; GAIT; VALIDITY; BALANCE; RELIABILITY; INDIVIDUALS;
D O I
10.3390/s23073426
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The Timed Up and Go (TUG) test is a widely used tool for assessing the risk of falls in older adults. However, to increase the test's predictive value, the instrumented Timed Up and Go (iTUG) test has been developed, incorporating different technological approaches. This systematic review aims to explore the evidence of the technological proposal for the segmentation and analysis of iTUG in elderlies with or without pathologies. A search was conducted in five major databases, following PRISMA guidelines. The review included 40 studies that met the eligibility criteria. The most used technology was inertial sensors (75% of the studies), with healthy elderlies (35%) and elderlies with Parkinson's disease (32.5%) being the most analyzed participants. In total, 97.5% of the studies applied automatic segmentation using rule-based algorithms. The iTUG test offers an economical and accessible alternative to increase the predictive value of TUG, identifying different variables, and can be used in clinical, community, and home settings.
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页数:31
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