Evidence map›Paper›PMID 41149350›Full record

ArticleBiosensors2025

Feasibility of IMU-Based Wearable Sonification: Toward Personalized, Real-Time Gait Monitoring and Rehabilitation.

Toh Yen Pang, Chi-Tsun Cheng, Frank Feltham, Azizur Rahman, Luke McCarney, Carolina Quintero Rodriguez

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
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

6 authors.

Toh Yen PangBiomedical Engineering Department, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-4766-3042
Chi-Tsun ChengMechanical, Manufacturing and Mechatronic Engineering Department, School of Engineering, STEM College, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0003-3306-6148
Frank FelthamIndustrial Design, School of Design, College of Design and Social Context, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-4973-6612
Azizur RahmanOccupational Health and Safety/Ergonomics, School of Property, Construction and Project Management, Design and Social Context, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0001-5732-037X
Luke McCarneySchool of Health and Biomedical Science, Health Sciences Osteopathy RMIT University, Bundoora West Campus, Bundoora, VIC 3083, Australia.ORCID 0000-0003-4128-3900
Carolina Quintero RodriguezEnterprise, School of Fashion and Textiles, RMIT University, Brunswick Campus, Brunswick, VIC 3056, Australia.ORCID 0000-0003-2919-4454

Funding

Strategic Impact Fund 2023 EIPSIF20230068
6 · The paper itself

Abstract

Wearable auditory feedback systems have demonstrated potential to support gait rehabilitation, yet user experience and engagement remain underexplored. This feasibility study investigated the usability and perceptions of an IMU-based (WT901BLECL, WitMotion) sonification system designed to deliver real-time gait feedback. Twenty healthy participants walked on a treadmill at two speeds under three conditions: no feedback, discrete bass tones, and continuous whoosh tones. The proposed system, with an IMU sensor embedded in a flexible garment, combined real-time gait analysis with auditory cues. Participants reported high levels of comfort, with most (90%) indicating that they had a positive overall experience. Discrete bass tones enhanced awareness of specific gait phases, particularly heel strike and initial contact, whereas continuous whoosh sounds extended awareness to the trunk and hips but were occasionally perceived as distracting. Motivation effects were mixed, and no significant correlations were found between subjective ratings and biomechanical measures, reflecting individual variability in auditory cue interpretation. These results emphasized the role of sound modality in influencing gait perception and highlighted the importance of user-centered design in wearable rehabilitation technologies. The study provides foundational evidence for refining personalized auditory feedback systems and supports future investigations with clinical populations, such as stroke survivors and individuals with Parkinson's Disease.

Indexed as

GaitWearable Electronic DevicesAdultFeasibility StudiesFemaleHumansMaleMonitoring, PhysiologicYoung Adultbiofeedbackbiomechanicsdigital biomarkersneurorehabilitationuser-centered design

Identifiers

PMID41149350
PMCPMC12563678

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.