ArticleDisability and rehabilitation2022
The use of wearable sensors to assess and treat the upper extremity after stroke: a scoping review.
Article in Disability and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of instrumented assessments for upper limb function in cerebral palsy: current limitations and future directions.Journal of neuroengineering and rehabilitation · 2024Pooled it
- Encouraging arm use in stroke survivors: the impact of smart reminders during a home-based intervention.Journal of neuroengineering and rehabilitation · 2024Trial
- A Sensor-Based Upper Limb Treatment in Hemiplegic Patients: Results from a Randomized Pilot Study.Sensors (Basel, Switzerland) · 2024Trial
- Clinical Application of Wearable Devices in Stroke Rehabilitation: A Scoping Review of Safety, Feasibility, and Adherence.Healthcare (Basel, Switzerland) · 2026Review
- A Novel Approach to Characterizing Patterns of Real-World Upper-Extremity Use During Walking and Activities of Daily Living in People with Subacute Stroke.Sensors (Basel, Switzerland) · 2026Article
- From Metrics to Meaning in Neurological Rehabilitation: Clinicians' Perspectives on Digital Metrics of Upper Limb Functioning-A Focus Group Study.JMIR rehabilitation and assistive technologies · 2026Article
- Digital Platform to Provide Health Data Feedback for Neurorehabilitation Patients: User-Centered Development and Proof-of-Concept Usability Study.JMIR rehabilitation and assistive technologies · 2026Article
- Effect of slit-regulated 3D embroidered sensor structures on contact area-variation-based strain sensing performance in smart gloves.Scientific reports · 2026Article
- Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning.Scientific reports · 2026Article
- Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.Stroke · 2026Review
- IMU-based rotator cuff injury recognition with varying configurations and combinations.Frontiers in physiology · 2026Article
- Exercise-specific post-translational modification signatures: unveiling precise regulatory mechanisms of molecular exercise language and cellular adaptation.Frontiers in sports and active living · 2026Review
- Combined Individual Experience and Accelerometry Measurement of Upper Limb Use in Daily Activities in Real Time After Stroke.Sensors (Basel, Switzerland) · 2025Article
- Evaluating the Psychometrics of Accelerometer Data for Independent Monitoring of Task Repetitive Practice.Sensors (Basel, Switzerland) · 2025Article
- Use of Accelerometers to Monitor Motor Activity During HABIT-ILE for Chronic Stroke: An Exploratory Study.Sensors (Basel, Switzerland) · 2025Article
- Precision of an Inertial System to Evaluate the Finger Tapping Test in Women with Fibromyalgia.Sports (Basel, Switzerland) · 2025Article
- Effect of practice on the control of reach extent.Experimental brain research · 2025Article
- Virtual Reality Exergaming in Outpatient Stroke Rehabilitation: A Scoping Review and Clinician Roadmap.Journal of clinical medicine · 2025Review
- Replication of Sensor-Based Categorization of Upper-Limb Performance in Daily Life in People Post Stroke and Generalizability to Other Populations.Sensors (Basel, Switzerland) · 2025Article
- Advancing stroke rehabilitation: the role of wearable technology according to research experts.Disability and rehabilitation. Assistive technology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeTo address the gap in the literature and clarify the expanding role of wearable sensor data in stroke rehabilitation, we summarized the methods for upper extremity (UE) sensor-based assessment and sensor-based treatment. MATERIALS AND
methodsThe guideline outlined by the preferred reporting items for systematic reviews and meta-analysis extension for scoping reviews was used to complete this scoping review. Information pertaining to participant demographics, sensory information, data collection, data processing, data analysis, and study results were extracted from the studies for analysis and synthesis.
resultsWe included 43 articles in the final review. We organized the results into assessment and treatment categories. The included articles used wearable sensors to identify UE functional motion, categorize motor impairment/activity limitation, and quantify real-world use. Wearable sensors were also used to augment UE training by triggering sensory cues or providing instructional feedback about the affected UE.
conclusionsSensors have the potential to greatly expand assessment and treatment beyond traditional clinic-based approaches. This capability could support the quantification of rehabilitation dose, the nuanced assessment of impairment and activity limitation, the characterization of daily UE use patterns in real-world settings, and augment UE training adherence for home-based rehabilitation.IMPLICATIONS FOR REHABILITATIONSensor data have been used to assess UE functional motion, motor impairment/activity limitation, and real-world use.Sensor-assisted treatment approaches are emerging, and may be a promising tool to augment UE adherence in home-based rehabilitation.Wearable sensors may extend our ability to objectively assess UE motion beyond supervised clinical settings, and into home and community settings.
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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.