Evidence map›Paper›PMID 40498599›Full record

ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2025

The Effects of Real-Time Haptic Feedback on Gait and Cognitive Load in Older Adults.

Ehsan Sharafian M, Colby Ellis, Ben Sidaway, Marie Hayes, Babak Hejrati

Abstract read
In one paragraph

Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ehsan Sharafian M
Colby Ellis
Ben Sidaway
Marie Hayes
Babak Hejrati

Funding

A Wearable Haptic Feedback System for Home-based Gait Training for Older AdultsR15AG078865 · NIA · UNIVERSITY OF MAINE ORONO · PI HEJRATI, BABAK · 2023 to 2023
$432k
NIA NIH HHS R15 AG078865
6 · The paper itself

Abstract

Gait speed is a key indicator of mobility and health in older adults, with declines often reflecting neuromotor deficits rather than musculoskeletal or cardiopulmonary limitations. This study presents a wearable smartphone-based haptic feedback system that applies feedback to the thighs to increase peak thigh extension (PTE) and, consequently, improve stride length and walking speed. Thirty community-dwelling older adults ( ${79}.{9}~ {\pm }~{6}.{5}$ years) participated in this study. Three treatment conditions were evaluated: (1) tactile feedback due to incorrect response when PTE was below the target ( ${F}_{\text {IR}}$ ); (2) tactile feedback due to correct response when the target PTE was met ( ${F}_{\textit {CR} }$ ); and (3) verbal instructions ( ${I}_{\boldsymbol {V}}$ ) without feedback. Cognitive demand during treatment was assessed using a probe reaction time task. Walking trials comparing baseline with treatment conditions were conducted. We found significant differences for all gait parameters across walking trials ( $\mathit {p} \lt {0}.{001}$ ), but no significant difference among the three treatment conditions. The haptic feedback system significantly increased stride length by 14% and gait speed by 18%. Gains in speed and stride length were achieved using the haptic system during a single session, comparable to following verbal instructions. Although no statistical difference was found across treatments, thigh feedback employed a different mechanism than verbal instructions for attaining greater speed. Adding haptic feedback increased reaction time, but these increases were small ( ${F}_{\textit {IR} }$ : 27ms, ${F}_{\textit {CR} }$ : 74ms), indicating minimal cognitive load. The observed gait improvements suggest haptic feedback is a viable option for gait training for older adults.

Indexed as

CognitionFeedback, SensoryGaitTouchAgedAged, 80 and overBiomechanical PhenomenaFemaleHumansIndependent LivingMaleReaction TimeSmartphoneThighWalkingWalking Speed

Identifiers

PMID40498599
PMCPMC12230859

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Registered trials

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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.