ArticleSensors (Basel, Switzerland)2019
Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Effects of Biofeedback on the Rehabilitation of People with Post-stroke Dysphagia: A Systematic Review and Meta-Analysis.Dysphagia · 2026Pooled it
- Effects of Feedback on Students' Motor Skill Learning in Physical Education: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases.Sensors (Basel, Switzerland) · 2021Pooled it
- Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.European journal of sport science · 2026Article
- The effect of neurofeedback and EMG biofeedback on gastrocnemius, tibialis anterior, and peroneus longus time to peak EMG in elite athletes with chronic ankle instability: a randomized controlled trial.BMC sports science, medicine & rehabilitation · 2026Article
- Vibrotactile Feedback Strategies for Trunk-Stabilizing Exercises in a Home-Based Scenario: Qualitative Interview Study Among Physiotherapists.JMIR formative research · 2025Article
- Real-Time Digitized Visual Feedback in Exercise Therapy for Lower Extremity Functional Deficits: Qualitative Study of Usability Factors During Prototype Testing.JMIR serious games · 2024Article
- Applications of wearable sensors in upper extremity MSK conditions: a scoping review.Journal of neuroengineering and rehabilitation · 2023Article
- Rehabilitation for Musculoskeletal Disorders: The Emergence of Serious Games and the Promise of Personalized Versions Using Artificial Intelligence.Journal of clinical medicine · 2023Article
- Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview.Sensors (Basel, Switzerland) · 2023Review
- Technologies in Home-Based Digital Rehabilitation: Scoping Review.JMIR rehabilitation and assistive technologies · 2023Article
- Designing Ecological Auditory Feedback on Lower Limb Kinematics for Hemiparetic Gait Training.Sensors (Basel, Switzerland) · 2023Article
- Usability of an exosuit in domestic and community environments.Journal of neuroengineering and rehabilitation · 2022Article
- The Application of Biological Feedback in the Rehabilitation of Patients after Ischemic Stroke.Sensors (Basel, Switzerland) · 2022Article
- Somesthetic, Visual, and Auditory Feedback and Their Interactions Applied to Upper Limb Neurorehabilitation Technology: A Narrative Review to Facilitate Contextualization of Knowledge.Frontiers in rehabilitation sciences · 2022Review
- Detection of Typical Compensatory Movements during Autonomously Performed Exercises Preventing Low Back Pain (LBP).Sensors (Basel, Switzerland) · 2021Article
- Smartphone App with an Accelerometer Enhances Patients' Physical Activity Following Elective Orthopedic Surgery: A Pilot Study.Sensors (Basel, Switzerland) · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Digital biofeedback systems (DBSs) are used in physical rehabilitation to improve outcomes by engaging and educating patients and have the potential to support patients while doing targeted exercises during home rehabilitation. The components of feedback (mode, content, frequency and timing) can influence motor learning and engagement in various ways. The feedback design used in DBSs for targeted exercise home rehabilitation, as well as the evidence underpinning the feedback and how it is evaluated, is not clearly known. To explore these concepts, we conducted a scoping review where an electronic search of PUBMED, PEDro and ACM digital libraries was conducted from January 2000 to July 2019. The main inclusion criteria included DBSs for targeted exercises, in a home rehabilitation setting, which have been tested on a clinical population. Nineteen papers were reviewed, detailing thirteen different DBSs. Feedback was mainly visual, concurrent and descriptive, frequently providing knowledge of results. Three systems provided clear rationale for the use of feedback. Four studies conducted specific evaluations of the feedback, and seven studies evaluated feedback in a less detailed or indirect manner. Future studies should describe in detail the feedback design in DBSs and consider a robust evaluation of the feedback element of the intervention to determine its efficacy.
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What OpenQuestion holds
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.