ArticleFrontiers in physiology2022
Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
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Who cites it
17 citing papers in PubMed.
- Encouraging arm use in stroke survivors: the impact of smart reminders during a home-based intervention.Journal of neuroengineering and rehabilitation · 2024Trial
- Comparison of Reachable Workspace Capacity to Real-World Arm Use Performance: A Wearable Accelerometry Study on Chronic Stroke.Sensors (Basel, Switzerland) · 2026Article
- Advancing Neurorehabilitation and Recovery Through Human Movement Quantification via Wearable Sensing.Neurorehabilitation and neural repair · 2026Article
- 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
- Validity of FuncUseRatio for ecological monitoring of functional arm use after stroke: toward precision neurorehabilitation.Journal of neuroengineering and rehabilitation · 2026Article
- Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data.Stroke · 2026Review
- Article
- Construct validity and responsiveness of clinical upper limb measures and sensor-based arm use within the first year after stroke: a longitudinal cohort study.Journal of neuroengineering and rehabilitation · 2025Observational
- Closed-loop versus open-loop "remind-to-move" treatment using wearables for hemiparetic upper extremity in patients after stroke: A proof-of-concept study.Wearable technologies · 2025Article
- Enhancing rehabilitation in stroke survivors: a deep learning approach to access upper extremity movement using accelerometry data.Frontiers in artificial intelligence · 2025Article
- Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams-A feasibility study.Frontiers in medicine · 2025Article
- AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI.Sensors (Basel, Switzerland) · 2024Article
- Optimizing Epoch Length and Activity Count Threshold Parameters in Accelerometry: Enhancing Upper Extremity Use Quantification in Cerebral Palsy.Sensors (Basel, Switzerland) · 2024Article
- The stratified effects of repetitive transcranial magnetic stimulation in upper limb motor impairment recovery after stroke: a meta-analysis.Frontiers in neurology · 2024Article
- Assessing Upper Limb Function in Breast Cancer Survivors Using Wearable Sensors and Machine Learning in a Free-Living Environment.Sensors (Basel, Switzerland) · 2023Article
- Concurrent validity of machine learning-classified functional upper extremity use from accelerometry in chronic stroke.Frontiers in physiology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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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.