ArticleActa of bioengineering and biomechanics2021
Differentiating fallers from nonfallers using nonlinear variability analyses of data from a low-cost portable footswitch device: a feasibility study.
Article in Acta of bioengineering and biomechanics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
5 citing papers in PubMed, 1 citations in OpenAlex.
- Dynamic stability is tied to gait assistance when walking with a hip exoskeleton.Scientific reports · 2026Article
- Predicting lower body joint moments and electromyography signals using ground reaction forces during walking and running: An artificial neural network approach.Gait & posture · 2025Article
- Restoring the complexity of walking in the elderly and its impact on clinical measures around the risk of falls.Frontiers in network physiology · 2025Article
- How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression.Applied sciences (Basel, Switzerland) · 2024Article
- Effects of metronome walking on long-term attractor divergence and correlation structure of gait: a validation study in older people.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
purposeFalls are one of the main causes of injuries in older adults. This study evaluated a low-cost footswitch device that was designed to measure gait variability and investigates whether there are any relationships between variability metrics and clinical balance tests for individuals with a history of previous falls.
methodsSixteen older adults completed a history of falls questionnaire, three functional tests related to fall risk, and walked on a treadmill with the footswitch device. We extracted the stride times from the device and applied two nonlinear variability analyses: coefficient of variation and detrended fluctuation analysis.
resultsThe temporal variables and variability metrics from the footswitch device correlated with gold-standard measurements based on ground reaction force data. One variability metric (detrended fluctuation analysis) showed a significant relationship with the presence of past falls with a sensitivity of 43%.
conclusionThis feasibility study demonstrates the basis for using low-cost footswitch devices to predict fall risk.
Indexed as
Identifiers
34846047PMC8634663W3202236022What OpenQuestion holds
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.