ArticleBiomedical engineering letters2017
Real-time biofeedback device for gait rehabilitation of post-stroke patients.
Article in Biomedical engineering letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06560450 (Research Report), which is not on this map. Cited by 10 papers, 3 of them syntheses that pooled it.
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.
Research Report: CERITER Clinical Study - Stride One
Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Can wearable real-time biofeedback gait training devices improve gait speed, balance, functional mobility and activities of daily living (ADL) in individuals post-stroke? A systematic review and meta-analysis of randomized controlled trials.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Systematic review on wearable lower-limb exoskeletons for gait training in neuromuscular impairments.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Tactile Biofeedback That Targets Stance Time Acutely Modulates Propulsion Mechanics in Healthy Gait.Research square · 2026Article
- The Advantage of Gait Pattern Assessment in Patients With Osteoarthritis Using Pearson Correlation Coefficient and SMAPE: A Case Series.Annals of rehabilitation medicine · 2025Article
- Instant gait classification for hip osteoarthritis patients: a non-wearable sensor approach utilizing Pearson correlation, SMAPE, and GMM.Biomedical engineering letters · 2025Article
- Robotic Ankle Exoskeleton and Limb Angle Biofeedback for Assisting Stroke Gait: A Feasibility Study.IEEE robotics and automation letters · 2025Article
- Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.Sensors (Basel, Switzerland) · 2022Article
- Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation.Sensors (Basel, Switzerland) · 2022Review
- The Effects of Auditory Feedback Gait Training Using Smart Insole on Stroke Patients.Brain sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this work, we develop a device, called 'Walk-Even', that can provide real-time feedback to correct gait asymmetry commonly exhibited in post-stroke survivors and persons with certain neurological disorders. The device computes gait parameters, including gait time, swing time, and stance time of each leg, to detect gait asymmetry and provide corresponding real-time biofeedback by means of auditory and electrotactile stimulation to actively correct the user's gait. The system consists of customized force-sensor-embedded insoles adjustable to fit any shoe size, electrotactile and auditory feedback circuits, microcontroller, and wireless XBee transceivers. The device also offers data saving capability. To validate its accuracy and reliability, we compared the gait measurements from our device with a commercial gait and balance assessment device, Zeno Walkway. The results show good correlation and agreement in a validity study with six healthy subjects and reliability study with seventeen healthy subjects. In addition, preliminary testing on six post-stroke patients after an 8-week training shows that the Walk-Even device helps to improve gait symmetry, foot pressure and forefoot loading of the affected side. Thus, initial testing indicates that the device is accurate in measuring the gait parameters and effective in improving gait symmetry using real-time feedback. The device is portable and low cost and has the potential for use in a non-clinical setting for patients that can walk independently without assistance. A more extensive testing with stroke patients is still ongoing.
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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.