Trial reportJournal of neuroengineering and rehabilitation2018
Kinect-based assessment of proximal arm non-use after a stroke.
Trial report in Journal of neuroengineering and rehabilitation, 2018. 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 21 papers, 2 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.
Reliability of Kinematic Analysis in Assessment and Rehabilitation of the Upper Arm of Stroke Patients Following a Cerebral Vascular Accident, Hemiparetic Subjects
Recovering Arm Function in Chronic Post-stroke Patients Using Combined HD-tDCS and Virtual Reality Therapy
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation.Journal of neuroengineering and rehabilitation · 2023Pooled it
- Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Beyond Arm Capacity in Chronic Stroke: Evaluating Paretic Arm Non-Use Through Arm Efficiency-A Cross-Sectional Study.Neurorehabilitation and neural repair · 2025Article
- Intelligent Assessment Techniques for Abnormal Movement Patterns in Neurological Disorders: Applications and Advances.Behavioural neurology · 2025Review
- Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients.Journal of neuroengineering and rehabilitation · 2024Article
- Article
- Compensatory movement detection by using near-infrared spectroscopy technology based on signal improvement method.Frontiers in neuroscience · 2023Article
- [Follow control of upper limb rehabilitation training based on Kinect and NAO robot].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching.Sensors (Basel, Switzerland) · 2022Article
- The reserve of joint torque determines movement coordination.Scientific reports · 2021Article
- Article
- Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors.Sensors (Basel, Switzerland) · 2021Article
- Rating scales and biomarkers for CAG-repeat spinocerebellar ataxias: Implications for therapy development.Journal of the neurological sciences · 2021Review
- Dissociating Sensorimotor Recovery and Compensation During Exoskeleton Training Following Stroke.Frontiers in human neuroscience · 2021Article
- Impairment and Compensation in Dexterous Upper-Limb Function After Stroke. From the Direct Consequences of Pyramidal Tract Lesions to Behavioral Involvement of Both Upper-Limbs in Daily Activities.Frontiers in human neuroscience · 2021Review
- A Data-Driven Investigation on Surface Electromyography Based Clinical Assessment in Chronic Stroke.Frontiers in neurorobotics · 2021Article
- Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal.Frontiers in neurology · 2020Article
- Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms.Journal of neuroengineering and rehabilitation · 2019Article
- Low-Cost Tracking Systems Allow Fine Biomechanical Evaluation of Upper-Limb Daily-Life Gestures in Healthy People and Post-Stroke Patients.Sensors (Basel, Switzerland) · 2019Article
- sEMG-Based Trunk Compensation Detection in Rehabilitation Training.Frontiers in neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAfter a stroke, during seated reaching with their paretic upper limb, many patients spontaneously replace the use of their arm by trunk compensation movements, even though they are able to use their arm when forced to do so. We previously quantified this proximal arm non-use (PANU) with a motion capture system (Zebris, CMS20s). The aim of this study was to validate a low-cost Microsoft Kinect-based system against the CMS20s reference system to diagnose PANU.
methodsIn 19 hemiparetic stroke individuals, the PANU score, reach length, trunk length, and proximal arm use (PAU) were measured during seated reaching simultaneously by the Kinect (v2) and the CMS20s over two testing sessions separated by two hours.
resultsIntraclass correlation coefficients (ICC) and linear regression analysis showed that the PANU score (ICC = 0.96, r
conclusionWe showed that the Kinect could accurately and reliably assess PANU, reach length, trunk length and PAU during seated reaching in post stroke individuals. We conclude that the Kinect can offer a low-cost and widely available solution to clinically assess PANU for individualised rehabilitation and to monitor the progress of paretic arm recovery.
trial registrationThe study was approved by The Ethics Committee of Montpellier, France (N°ID-RCB: 2014-A00395-42) and registered in Clinical Trial (N° NCT02326688, Registered on 15 December 2014, https://clinicaltrials.gov/ct2/show/results/NCT02326688 ).
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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.