ReviewJournal of neuroengineering and rehabilitation2019
Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.
Review in Journal of neuroengineering and rehabilitation, 2019. 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 107 papers, 7 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.
Neuroscience-Based Aphasia Therapy Adapted to Remote, Mobile-Based Treatment
Effects of Hand MOtor Rehabilitation Using a sEMG-biofeedback, After Stroke: a Longitudinal Pilot Study
Who cites it
107 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Bibliometric analysis of surface electromyography trends in stroke rehabilitation research.Frontiers in neurology · 2025Pooled it
- Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023.Journal of medical Internet research · 2024Pooled 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
- Remotely Assessing Motor Function and Activity of the Upper Extremity After Stroke: A Systematic Review of Validity and Clinical Utility of Tele-Assessments.Clinical rehabilitation · 2024Pooled it
- The efficacy of contralaterally controlled functional electrical stimulation compared to conventional neuromuscular electrical stimulation for recovery of limb function following a stroke: a systematic review and meta-analysis.Frontiers in neurology · 2024Pooled it
- Quality of mobility measures among individuals with acquired brain injury: an umbrella review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Pooled it
- Wearable Health Devices in Health Care: Narrative Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Feasibility of Wearable Devices for Motivating Post-Stroke Patients.Sensors (Basel, Switzerland) · 2025Trial
- Improving patient outcomes in acute and subacute stroke using a wearable device-assisted rehabilitation system: a randomized controlled trial.The Journal of international medical research · 2024Trial
- The NuroSleeve, a user-centered 3D printed hybrid orthosis for individuals with upper extremity impairment.Journal of neuroengineering and rehabilitation · 2023Trial
- Gait-Semantic Relational Knowledge Distillation for Ground Reaction Force Estimation.Advanced engineering informatics · 2026Article
- Article
- Perioperative real-life mobility assessment using wearable step counts in idiopathic normal pressure hydrocephalus after ventriculoperitoneal shunt surgery: a prospective pilot study.Neurosurgical review · 2026Article
- A serious game for assessing upper-limb visuomotor adaptation in children with cerebral palsy during reaching tasks in virtual reality.Scientific reports · 2026Article
- Harnessing Neuroplasticity: The Role of Priming in Enhancing Post Stroke Motor Function.Restorative neurology and neuroscience · 2026Review
- FDA-Listed Interactive Devices for Home Movement Rehabilitation After Stroke: A Mixed-Methods Study of Availability, User Needs, Information Gaps, and an Accompanying Dataset.Bioengineering (Basel, Switzerland) · 2026Article
- Wearable Sensor Technology and Biomechanical Gait Analysis in Post-Stroke Rehabilitation: A Review with Implications for the Saudi Healthcare System.Neurosciences (Riyadh, Saudi Arabia) · 2026Review
- AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review.Journal of medical Internet research · 2026Review
- Study on Auxiliary Rehabilitation System of Hand Function Based on Machine Learning with Visual Sensors.Sensors (Basel, Switzerland) · 2026Article
- Stroke Rehabilitation, Novel Technology and the Internet of Medical Things.Brain sciences · 2026Review
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by limited resources of healthcare centers. Wearable technology has the potential to objectively assess and monitor patients inside and outside clinical environments, enabling a more detailed evaluation of the impairment and allowing the individualization of rehabilitation therapies. The present review aims to provide an overview of wearable sensors used in stroke rehabilitation research, with a particular focus on the upper extremity. We summarize results obtained by current research using a variety of wearable sensors and use them to critically discuss challenges and opportunities in the ongoing effort towards reliable and accessible tools for stroke rehabilitation. Finally, suggestions concerning data acquisition and processing to guide future studies performed by clinicians and engineers alike are provided.
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.