ArticleSensors (Basel, Switzerland)2020
Assessment of Upper Limb Movement Impairments after Stroke Using Wearable Inertial Sensing.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.
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
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
27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023.Journal of medical Internet research · 2024Pooled it
- Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Preventing slowing down of alpha rhythms in stroke patients through modulation of cortical excitatory-inhibitory balance: a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- High-Sensitivity Bio-Waste-Derived Triboelectric Sensors for Capturing Pathological Motor Features in Hemiplegia Rehabilitation.Micromachines · 2026Article
- Estimation of Fugl-Meyer Assessment Upper-Extremity Sub-Scores Using a Mixup-Augmented LSTM Autoencoder and Wearable Sensor Data.Sensors (Basel, Switzerland) · 2025Article
- JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies.PloS one · 2025Article
- Evaluating inter- and intra-rater reliability in assessing upper limb compensatory movements post-stroke: creating a ground truth through video analysis?Journal of neuroengineering and rehabilitation · 2024Article
- Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review.Sensors (Basel, Switzerland) · 2024Review
- A Statistical Approach for Functional Reach-to-Grasp Segmentation Using a Single Inertial Measurement Unit.Sensors (Basel, Switzerland) · 2024Article
- PSA-FL-CDM: A Novel Federated Learning-Based Consensus Model for Post-Stroke Assessment.Sensors (Basel, Switzerland) · 2024Article
- The Use of Head-Mounted Display Systems for Upper Limb Kinematic Analysis in Post-Stroke Patients: A Perspective Review on Benefits, Challenges and Other Solutions.Bioengineering (Basel, Switzerland) · 2024Review
- Evaluating the Accuracy of Upper Limb Movement in the Sagittal Plane among Computer Users during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2024Article
- Upper limb movement quality measures: comparing IMUs and optical motion capture in stroke patients performing a drinking task.Frontiers in digital health · 2024Article
- Development and Validation of a Bedside Scale for Assessing Upper Limb Function Following Stroke: A Methodological Study.F1000Research · 2024Article
- A guide to inter-joint coordination characterization for discrete movements: a comparative study.Journal of neuroengineering and rehabilitation · 2023Review
- Assessing Spatiotemporal and Quality Alterations in Paretic Upper Limb Movements after Stroke in Routine Care: Proposal and Validation of a Protocol Using IMUs versus MoCap.Sensors (Basel, Switzerland) · 2023Article
- Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets.Sensors (Basel, Switzerland) · 2023Article
- Data-Driven Quantitation of Movement Abnormality after Stroke.Bioengineering (Basel, Switzerland) · 2023Article
- Wearables for Movement Analysis in Healthcare.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise and objective assessments of upper limb movement quality after strokes in functional task conditions are an important prerequisite to improve understanding of the pathophysiology of movement deficits and to prove the effectiveness of interventions. Herein, a wearable inertial sensing system was used to capture movements from the fingers to the trunk in 10 chronic stroke subjects when performing reach-to-grasp activities with the affected and non-affected upper limb. It was investigated whether the factors, tested arm, object weight, and target height, affect the expressions of range of motion in trunk compensation and flexion-extension of the elbow, wrist, and finger during object displacement. The relationship between these metrics and clinically measured impairment was explored. Nine subjects were included in the analysis, as one had to be excluded due to defective data. The tested arm and target height showed strong effects on all metrics, while an increased object weight showed effects on trunk compensation. High inter- and intrasubject variability was found in all metrics without clear relationships to clinical measures. Relating all metrics to each other resulted in significant negative correlations between trunk compensation and elbow flexion-extension in the affected arm. The findings support the clinical usability of sensor-based motion analysis.
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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.