SynthesisJournal of medical Internet research2020
Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review.
Synthesis in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 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.
Effects of Hand MOtor Rehabilitation Using a sEMG-biofeedback, After Stroke: a Longitudinal Pilot Study
REcovery of Hand Motor Function in Stroke Rehabilitation: Efficacy of a Task-Oriented Protocol Provided by a sEMG-biofeedback Wearable Device (REMO)
Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Poststroke eHealth Technologies-Based Rehabilitation for Upper Limb Recovery: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Effects of wearable device training on upper limb motor function in patients with stroke: a systematic review and meta-analysis.The Journal of international medical research · 2024Pooled it
- Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- A Sensor-Based Feedback Device Stimulating Daily Life Upper Extremity Activity in Stroke Patients: A Feasibility Study.Sensors (Basel, Switzerland) · 2023Trial
- Usability, Acceptability, and Feasibility of a Personalized Adaptive Mirror Therapy for Upper-Limb Poststroke Rehabilitation Using Immersive Virtual Reality and Myoelectric Control: Single-Arm Pre-Post Study.JMIR rehabilitation and assistive technologies · 2026Article
- Advancing stroke rehabilitation: the role of wearable technology according to research experts.Disability and rehabilitation. Assistive technology · 2025Article
- Quantitative Evaluation of Postural SmartVest's Multisensory Feedback for Affordable Smartphone-Based Post-Stroke Motor Rehabilitation.International journal of environmental research and public health · 2025Article
- Improving Upper-Limb Recovery in Patients with Chronic Stroke Using an 8-Week Bilateral Arm-Training Device.Life (Basel, Switzerland) · 2025Article
- Addressing Data Absenteeism and Technology Chauvinism in the Use of Gamified Wearable Gloves Among Older Adults: Moderated Usability Study.JMIR serious games · 2024Article
- Use of the Capability, Opportunity and Motivation Behaviour model (COM-B) to Understand Interventions to Support Physical Activity Behaviour in People with Stroke: An Overview of Reviews.Clinical rehabilitation · 2024Review
- Article
- Do digital health interventions hold promise for stroke prevention and care in Black and Latinx populations in the United States? A scoping review.BMC public health · 2023Article
- Clinical applications of smart wearable sensors.iScience · 2023Review
- Overview of the role of robots in upper limb disabilities rehabilitation: a scoping review.Archives of public health = Archives belges de sante publique · 2023Article
- Clinical Features to Predict the Use of a sEMG Wearable Device (REMOInternational journal of environmental research and public health · 2023Article
- Virtual Reality-Based Rehabilitation as a Feasible and Engaging Tool for the Management of Chronic Poststroke Upper-Extremity Function Recovery: Randomized Controlled Trial.JMIR serious games · 2022Article
- Design of Spiral-Cable Forearm Exoskeleton to Assist Supination for Hemiparetic Stroke Subjects.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2022Article
- Upper-Limb Motion Recognition Based on Hybrid Feature Selection: Algorithm Development and Validation.JMIR mHealth and uHealth · 2021Article
- Exploring the Use of Mobile and Wearable Technology among University Student Athletes in Lebanon: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2021Article
- 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith advances in technology, the adoption of wearable devices has become a viable adjunct in poststroke rehabilitation. Upper limb (UL) impairment affects up to 77% of stroke survivors impacting on their ability to carry out everyday activities. However, despite an increase in research exploring these devices for UL rehabilitation, little is known of their effectiveness.
objectiveThis review aimed to assess the effectiveness of UL wearable technology for improving activity and participation in adult stroke survivors.
methodsRandomized controlled trials (RCTs) and randomized comparable trials of UL wearable technology for poststroke rehabilitation were included. Primary outcome measures were validated measures of activity and participation as defined by the International Classification of Functioning, Disability, and Health. Databases searched were MEDLINE, Web of Science (Core collection), CINAHL, and the Cochrane Library. The Cochrane Risk of Bias Tool was used to assess the methodological quality of the RCTs and the Downs and Black Instrument for the quality of non RCTs.
resultsIn the review, we included 11 studies with collectively 354 participants at baseline and 323 participants at final follow-up including control groups and participants poststroke. Participants' stroke type and severity varied. Only 1 study found significant between-group differences for systems functioning and activity (P≤.02). The 11 included studies in this review had small sample sizes ranging from 5 to 99 participants at an average (mean) age of 57 years.
conclusionsThis review has highlighted a number of reasons for insignificant findings in this area including low sample sizes and the appropriateness of the methodology for complex interventions. However, technology has the potential to measure outcomes, provide feedback, and engage users outside of clinical sessions. This could provide a platform for motivating stroke survivors to carry out more rehabilitation in the absence of a therapist, which could maximize recovery.
trial registrationPROSPERO CRD42017057715; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=57715.
Indexed as
Identifiers
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.