Trial reportPloS one2019
A novel upper-limb function measure derived from finger-worn sensor data collected in a free-living setting.
Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 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
22 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023.Journal of medical Internet research · 2024Pooled 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
- A Systematic Review of Wearable Sensors for Monitoring Physical Activity.Sensors (Basel, Switzerland) · 2022Pooled it
- Indexes for motor performance assessment in job integration/reintegration of people with neuromuscular disorders: A systematic review.Frontiers in neurology · 2022Pooled it
- Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation Strategies.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor Performance.Neurorehabilitation and neural repair · 2026Article
- A Novel, Wearable Inertial Measurement Unit for Stroke Survivors: Validity, Acceptability, and Usability.Archives of physical medicine and rehabilitation · 2024Article
- Somatotopic disruption of the functional connectivity of the primary sensorimotor cortex in complex regional pain syndrome type 1.Human brain mapping · 2023Article
- Recognizing hand use and hand role at home after stroke from egocentric video.PLOS digital health · 2023Article
- A deep learning wearable-based solution for continuous at-home monitoring of upper limb goal-directed movements.Frontiers in neurology · 2023Article
- Classification of functional and non-functional arm use by inertial measurement units in individuals with upper limb impairment after stroke.Frontiers in physiology · 2022Article
- Using Wearable Inertial Sensors to Estimate Clinical Scores of Upper Limb Movement Quality in Stroke.Frontiers in physiology · 2022Article
- Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors' and occupational therapists' perspectives.PloS one · 2022Article
- Objective Assessment of Postoperative Morbidity After Breast Cancer Treatments with Wearable Activity Monitors: The "BRACELET" Study.Annals of surgical oncology · 2021Observational
- Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors.IEEE transactions on bio-medical engineering · 2021Article
- Identifying Hand Use and Hand Roles After Stroke Using Egocentric Video.IEEE journal of translational engineering in health and medicine · 2021Article
- Nursing effects of finger exercise on cognitive function and others for cerebral ischemic stroke patients.American journal of translational research · 2021Article
- Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method.Neurorehabilitation and neural repair · 2020Article
- Clip-On IMU System for Assessing Age-Related Changes in Hand Functions.Sensors (Basel, Switzerland) · 2020Article
- Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery.NPJ digital medicine · 2020Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of wrist-worn accelerometers has recently gained tremendous interest among researchers and clinicians as an objective tool to quantify real-world use of the upper limbs during the performance of activities of daily living (ADLs). However, wrist-worn accelerometers have shown a number of limitations that hinder their adoption in the clinic. Among others, the inability of wrist-worn accelerometers to capture hand and finger movements is particularly relevant to monitoring the performance of ADLs. This study investigates the use of finger-worn accelerometers to capture both gross arm and fine hand movements for the assessment of real-world upper-limb use. A system of finger-worn accelerometers was utilized to monitor eighteen neurologically intact young adults while performing nine motor tasks in a laboratory setting. The system was also used to monitor eighteen subjects during the day time of a day in a free-living setting. A novel measure of real-world upper-limb function-comparing the duration of activities of the two limbs-was derived to identify which upper limb subjects predominantly used to perform ADLs. Two validated handedness self-reports, namely the Waterloo Handedness Questionnaire and the Fazio Laterality Inventory, were collected to assess convergent validity. The analysis of the data recorded in the laboratory showed that the proposed measure of upper-limb function is suitable to accurately detect unilateral vs. bilateral use of the upper limbs, including both gross arm movements and fine hand movements. When applied to recordings collected in a free-living setting, the proposed measure showed high correlation with self-reported handedness indices (i.e., ρ = 0.78 with the Waterloo Handedness Questionnaire scores and ρ = 0.77 with the Fazio Laterality Inventory scores). The results herein presented establish face and convergent validity of the proposed measure of real-world upper-limb function derived using data collected by means of finger-worn accelerometers.
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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.