ArticlePloS one2016
Use of an Enactive Insole for Reducing the Risk of Falling on Different Types of Soil Using Vibrotactile Cueing for the Elderly.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174948 (The Use of the CUE1/CUE1+ Device in People With Idiopathic Parkinson's Disease and Related Disorders), which is not on this map. Cited by 8 papers.
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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.
The Use of the CUE1/CUE1+ Device in People With Idiopathic Parkinson's Disease and Related Disorders: A Feasibility Study
Who cites it
8 citing papers in PubMed.
- I-BaR: integrated balance rehabilitation framework.Frontiers in neurorobotics · 2024Article
- The Efficacy of a Newly Developed Cueing Device for Gait Mobility in Parkinson's Disease.Parkinson's disease · 2022Article
- Vibrotactile-Based Rehabilitation on Balance and Gait in Patients with Neurological Diseases: A Systematic Review and Metanalysis.Brain sciences · 2021Review
- Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole.Sensors (Basel, Switzerland) · 2021Article
- Perception of a Haptic Stimulus Presented Under the Foot Under Workload.Sensors (Basel, Switzerland) · 2020Article
- Response Time to a Vibrotactile Stimulus Presented on the Foot at Rest and During Walking on Different Surfaces.Sensors (Basel, Switzerland) · 2018Article
- Wearable Devices for Classification of Inadequate Posture at Work Using Neural Networks.Sensors (Basel, Switzerland) · 2017Article
- Effectiveness of Shoes With Non-Slip Insole on Balance, Fear of Falling, and Fall Prevention Among Older Women: A Parallel RCT.Sage open agingArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur daily activities imply displacements on various types of soil. For persons with gait disorder or losing functional autonomy, walking on some types of soil could be challenging because of the risk of falling it represents.
methodsIn this paper, we present, in a first part, the use of an enactive shoe for an automatic differentiation of several types of soil. In a second part, using a second improved prototype (an enactive insole), twelve participants with Parkinson's disease (PD) and nine age-matched controls have performed the Timed Up and Go (TUG) test on six types of soil with and without cueing. The frequency of the cueing was set at 10% above the cadence computed at the lower risk of falling (walking over the concrete). Depending on the cadence computed at the lower risk, the enactive insole activates a vibrotactile cueing aiming to improve gait and balance control. Finally, a risk index is computed using gait parameters in relation to given type of soil.
resultsThe frequency analysis of the heel strike vibration allows the differentiation of various types of soil. The risk computed is associated to an appropriate rhythmic cueing in order to improve balance and gait impairment. The results show that a vibrotactile cueing could help to reduce the risk of falling.
conclusionsFirstly, this paper demonstrates the feasibility of reducing the risk of falling while walking on different types of soil using vibrotactile cueing. We found a significant difference and a significant decrease in the computed risks of falling for most of types of soil especially for deformable soils which can lead to fall. Secondly, heel strike provides an approximation of the impulse response of the soil that can be analyzed with time and frequency-domain modeling. From these analyses, an index is computed enabling differentiation the types of soil.
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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.