Evidence map›Paper›PMID 39729143›Full record

ArticleAnnals of biomedical engineering2025

Utilizing Rhythmic Haptic Cueing in Arm Swing Training to Improve Gait Speed Among Older Adults.

Ines Khiyara, Ben Sidaway, Babak Hejrati

Abstract read
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In one paragraph

Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Effects of Real-Time Haptic Feedback on Gait and Cognitive Load in Older Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  6. Review
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

3 authors.

Ines KhiyaraDepartment of Mechanical Engineering, The Biorobotics and Biomechanics Lab, University of Maine, 168 College Ave, Orono, ME, 04469, USA. ines.khiyara@maine.edu.ORCID http://orcid.org/0009-0005-8622-4762
Ben SidawaySchool of Physical Therapy, Husson University, 1 College Cir, Bangor, ME, 04401, USA.
Babak HejratiDepartment of Mechanical Engineering, The Biorobotics and Biomechanics Lab, University of Maine, 168 College Ave, Orono, ME, 04469, USA.

Funding

National Science Foundation 2145177
6 · The paper itself

Abstract

purposeCurrent gait rehabilitation protocols for older adults typically attempt to effect changes in leg movements, while the role of arm movements is often ignored despite evidence of the neurological coupling of the upper and lower extremities. In the present work, we examine the effectiveness of a novel wearable haptic cueing system that targets arm swing to improve various gait parameters in older adults.

methodsTwenty participants (

resultsThe presentation of the haptic cues significantly altered arm swing cycle time resulting in an increase in gait speed of 18.2% when arm cycle time was decreased and a 12.3% decrease in gait speed when arm cycle time was lengthened. The response to haptic cues was immediate, emphasizing the tight coupling of the arm and legs in the production of gait. Spatiotemporal analysis revealed improvements in gait parameters and symmetry metrics, indicating enhanced coordination between limbs when using tactile cues. Subjective evaluations further supported the system's potential for gait training.

conclusionThe results reveal the significant potential of the haptic cueing system to modulate gait through arm swing manipulation, leveraging interlimb neural coupling. This aligns with the growing need for home-based gait training solutions, particularly for the older population, and presents a novel approach that could be integrated into current gait rehabilitation practices.

Indexed as

ArmCuesGaitWalking SpeedAgedAged, 80 and overFemaleHumansMaleWearable Electronic DevicesAgingArm swing trainingGait rehabilitationWearable haptic cueing system

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.