ArticlePloS one2017
Better than counting seconds: Identifying fallers among healthy elderly using fusion of accelerometer features and dual-task Timed Up and Go.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- eHealth for Addressing Balance Disorders in the Elderly: Systematic Review.Journal of medical Internet research · 2021Pooled it
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- Benefits of Multimodal Exercise Intervention for BDNF and Cytokines Levels, Cognitive Function, and Motor Functionality in Alzheimer's Disease: A Preliminary Study.International journal of environmental research and public health · 2025Article
- Ecological Fall Prediction Sensitivity, Specificity, and Accuracy in Patients with Mild Cognitive Impairment at a High Risk of Falls.Sensors (Basel, Switzerland) · 2023Article
- Near-Fall Detection in Unexpected Slips during Over-Ground Locomotion with Body-Worn Sensors among Older Adults.Sensors (Basel, Switzerland) · 2022Article
- Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study.Journal of physical therapy science · 2022Article
- Automatic Recognition and Analysis of Balance Activity in Community-Dwelling Older Adults: Algorithm Validation.Journal of medical Internet research · 2021Article
- Random Forest for Automatic Feature Importance Estimation and Selection for Explainable Postural Stability of a Multi-Factor Clinical Test.Sensors (Basel, Switzerland) · 2021Article
- MoCA vs. MMSE of Fibromyalgia Patients: The Possible Role of Dual-Task Tests in Detecting Cognitive Impairment.Journal of clinical medicine · 2021Article
- Feasibility of Using Floor Vibration to Detect Human Falls.International journal of environmental research and public health · 2020Article
- Quantitative clinical assessment of motor function during and following LSVT-BIG® therapy.Journal of neuroengineering and rehabilitation · 2020Article
- Mobility improves after high intensity aerobic exercise in individuals with Parkinson's disease.Journal of the neurological sciences · 2019Article
- Quantifying turning behavior and gait in Parkinson's disease using mobile technology.IBRO reports · 2018Article
- Actions to Improve Physical Activity Surveillance in the United States.NAM perspectives · 2018Article
- Cognitive-Motor Interference during Walking in Older Adults with Probable Mild Cognitive Impairment.Frontiers in aging neuroscience · 2017Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Devices and sensors for identification of fallers can be used to implement actions to prevent falls and to allow the elderly to live an independent life while reducing the long-term care costs. In this study we aimed to investigate the accuracy of Timed Up and Go test, for fallers' identification, using fusion of features extracted from accelerometer data. Single and dual tasks TUG (manual and cognitive) were performed by a final sample (94% power) of 36 community dwelling healthy older persons (18 fallers paired with 18 non-fallers) while they wear a single triaxial accelerometer at waist with sampling rate of 200Hz. The segmentation of the TUG different trials and its comparative analysis allows to better discriminate fallers from non-fallers, while conventional functional tests fail to do so. In addition, we show that the fusion of features improve the discrimination power, achieving AUC of 0.84 (Sensitivity = Specificity = 0.83, 95% CI 0.62-0.91), and demonstrating the clinical relevance of the study. We concluded that features extracted from segmented TUG trials acquired with dual tasks has potential to improve performance when identifying fallers via accelerometer sensors, which can improve TUG accuracy for clinical and epidemiological applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.