ArticleSensors (Basel, Switzerland)2021
Magnetically Counting Hand Movements: Validation of a Calibration-Free Algorithm and Application to Testing the Threshold Hypothesis of Real-World Hand Use after Stroke.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial.Sensors (Basel, Switzerland) · 2022Trial
- Comparison of Reachable Workspace Capacity to Real-World Arm Use Performance: A Wearable Accelerometry Study on Chronic Stroke.Sensors (Basel, Switzerland) · 2026Article
- Towards AI-based precision rehabilitation via contextual model-based reinforcement learning.Journal of neuroengineering and rehabilitation · 2025Article
- Wrist Function Test and Its Use to Assess Treatment Efficacy in Ischemic Stroke Survivors-A Pilot Study.Diagnostics (Basel, Switzerland) · 2025Article
- The association of upper limb sensorimotor capacity, everyday inpatient behavior, and the effects of neurorehabilitation in persons with multiple sclerosis and stroke: a mixed-design study.Journal of neuroengineering and rehabilitation · 2025Article
- The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review.Cureus · 2024Review
- Real-Time Sensing of Upper Extremity Movement Diversity Using Kurtosis Implemented on a Smartwatch.Sensors (Basel, Switzerland) · 2024Article
- The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period - an explorative observational study.Journal of neuroengineering and rehabilitation · 2024Observational
- Movement Diversity and Complexity Increase as Arm Impairment Decreases After Stroke: Quality of Movement Experience as a Possible Target for Wearable Feedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- The Evolution of Hand Proprioceptive and Motor Impairments in the Sub-Acute Phase After Stroke.Neurorehabilitation and neural repair · 2023Article
- Recognizing hand use and hand role at home after stroke from egocentric video.PLOS digital health · 2023Article
- Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications.Sensors (Basel, Switzerland) · 2023Article
- Understanding preferences of stroke survivors for feedback provision about functional movement behavior from wearable sensors: a mixed-methods study.Research square · 2023Article
- Facilitating limb movement after stroke.Nature medicine · 2023Article
- Comparing algorithms for assessing upper limb use with inertial measurement units.Frontiers in physiology · 2022Article
- Virtuous and Vicious Cycles of Arm Use and Function Post-stroke.Frontiers in neurology · 2022Article
- Validity of Novel Outcome Measures for Hand Function Performance After Stroke Using Egocentric Video.Neurorehabilitation and neural repairArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
There are few wearable sensors suitable for daily monitoring of wrist and finger movements for hand-related healthcare applications. Here, we describe the development and validation of a novel algorithm for magnetically counting hand movements. We implemented the algorithm on a wristband that senses magnetic field changes produced by movement of a magnetic ring worn on the finger (the "Manumeter"). The "HAND" (Hand Activity estimated by Nonlinear Detection) algorithm assigns a "HAND count" by thresholding the real-time change in magnetic field created by wrist and/or finger movement. We optimized thresholds to achieve a HAND count accuracy of ~85% without requiring subject-specific calibration. Then, we validated the algorithm in a dexterity-impaired population by showing that HAND counts strongly correlate with clinical assessments of upper extremity (UE) function after stroke. Finally, we used HAND counts to test a recent hypothesis in stroke rehabilitation that real-world UE hand use increases only for stroke survivors who achieve a threshold level of UE functional capability. For 29 stroke survivors, HAND counts measured at home did not increase until the participants' Box and Blocks Test scores exceeded ~50% normal. These results show that a threshold-based magnetometry approach can non-obtrusively quantify hand movements without calibration and also verify a key concept of real-world hand use after stroke.
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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.