Trial reportIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2023
User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use.
Trial report in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
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
21 citing papers in PubMed.
- Toward more intuitive prosthetic control: structured residual muscle training in transtibial amputees.Journal of neuroengineering and rehabilitation · 2026Article
- A Deep Learning-Based EIT System for Robust Gesture Recognition Under Confounding Factors.Biosensors · 2026Article
- Regenerative peripheral nerve interfaces (RPNIs) and implanted electrodes improve online control of prostheses for hand and wristJournal of neural engineering · 2026Article
- Dynamic Manipulation Skill Learning for Tactile Myoelectric Prosthetic Hands in Tool Handling.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Emerging Frontiers in Robotic Upper-Limb Prostheses: Mechanisms, Materials, Tactile Sensors and Machine Learning-Based EMG Control: A Comprehensive Review.Sensors (Basel, Switzerland) · 2025Review
- Training Movement Velocity Significantly Affects the Performance of Myoelectric Control.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Comparing implantable epimysial and intramuscular electrodes for prosthetic control.Frontiers in neuroscience · 2025Article
- Simultaneous and Proportional Myoelectric Control of Multiple Degrees of Freedom in Individuals With Chronic Hemiparesis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Proportional myoelectric control of a virtual bionic arm in participants with hemiparesis, muscle spasticity, and impaired range of motion.Journal of neuroengineering and rehabilitation · 2024Article
- Enhancing neuroprosthesis calibration: the advantage of integrating prior training over exclusive use of new data.Journal of neural engineering · 2024Article
- Using eye tracking to assess learning of a multifunction prosthetic hand: an exploratory study from a rehabilitation perspective.Journal of neuroengineering and rehabilitation · 2024Article
- Unravelling Influence Factors in Pattern Recognition Myoelectric Control Systems: The Impact of Limb Positions and Electrode Shifts.Sensors (Basel, Switzerland) · 2024Article
- Sonomyography for Control of Upper-Limb Prostheses: Current State and Future Directions.Journal of prosthetics and orthotics : JPO · 2024Article
- Alternative muscle synergy patterns of upper limb amputees.Cognitive neurodynamics · 2024Article
- Development and validation of the coffee task: a novel functional assessment for prosthetic grip selection.Journal of neuroengineering and rehabilitation · 2024Article
- Implications of EMG channel count: enhancing pattern recognition online prosthetic testing.Frontiers in rehabilitation sciences · 2024Article
- A multifaceted suite of metrics for comparative myoelectric prosthesis controller research.PloS one · 2024Article
- Posture-invariant myoelectric control with self-calibrating random forests.Frontiers in neurorobotics · 2024Article
- Validity and Impact of Methods for Collecting Training Data for Myoelectric Prosthetic Control Algorithms.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- Using Principles of Motor Control to Analyze Performance of Human Machine Interfaces.Research square · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
With the increasing availability of more advanced prostheses individuals with a transradial amputation can now be fit with single to multi-degree of freedom hands. Reliable and accurate control of these multi-grip hands still remains challenging. This is the first multi-user study to investigate at-home control and use of a multi-grip hand prosthesis under pattern recognition and direct control. Individuals with a transradial amputation were fitted with and trained to use an OSSUR i-Limb Ultra Revolution with Coapt COMPLETE CONTROL system. They participated in two 8-week home trials using the hand under myoelectric direct and pattern recognition control in a randomized order. While at home, participants demonstrated broader usage of grips in pattern recognition compared to direct control. After the home trial, they showed significant improvements in the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure while using pattern recognition control compared to direct control; other outcome measures showed no differences between control styles. Additionally, this study provided a unique opportunity to evaluate EMG signals during home use. Offline analysis of calibration data showed that users were 81.5% [7.1] accurate across a range of three to five grips. Although EMG signal noise was identified during some calibrations, overall EMG quality was sufficient to provide users with control performance at or better than direct control.
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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.