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14 results for “myoelectric control”
Qualitative Interview Data: Users and therapists perceptions of myoelectric multi-function upper limb prostheses with direct and pattern recognition control
<p>The data uploaded here were collected in 2016/2017 through semi-structured interviews with prosthesis users and hand therapists. Participants were mainly asked about satisfaction with their prosthetic device and about activities which they perform with the prosthesis. Interviews were conducted in Dutch and German language.</p> <p>All interview data are made publicly available, except for data of prosthesis users who were experienced with pattern recognition control (n=4). Due to the small number of these participants, their interview data is only available upon reasonable request to not compromise participant privacy. </p> <p> </p>
Implanted Myoelectric Control for Restoration of Hand Function in Spinal Cord Injury
ClinicalTrials.gov study NCT00583804. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Data from: A multifaceted suite of metrics for comparative myoelectric prosthesis controller research
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Myoelectric prosthesis control using recurrent convolutional neural network regression mitigates the limb position effect
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Myoelectrically Controlled Augmented Reality and Gaming for the Treatment of Phantom Limb Pain
ClinicalTrials.gov study NCT02281539. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Evaluating internal model strength and performance of myoelectric prosthesis control strategies
Ongoing developments in myoelectric prosthesis control have provided prosthesis users with an assortment of control strategies that vary in reliability and performance. Many studies have focused on improving performance by providing feedback to the user, but have overlooked the effect of this feedback on internal model development, which is key to improving long-term performance. In this work, the strength of internal models developed for two commonly used myoelectric control strategies: raw control with raw feedback (using a regression-based approach), and filtered control with filtered feedback (using a classifier-based approach), were evaluated using two psychometric measures: trial-by-trial adaptation and just-noticeable-difference. The performance of both strategies was also evaluated using a Schmidt's style target acquisition task. Results obtained from 24 able-bodied subjects showed that although filtered control with filtered feedback had better short-term performance in path efficiency (p < 0.05), raw control with raw feedback resulted in stronger internal model development (p < 0.05), which may lead to better long-term performance. Despite inherent noise in the control signals of the regression controller, these findings suggest that rich feedback associated with regression control may be used to improve human understanding of the myoelectric control system.
Tongue cleaning enhances the myoelectric activity of the suprahyoid muscles in older adults: A six-week randomized controlled trial
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Evaluation of the Phantom X Implantable EMG Sensor System for Myoelectric Prosthesis Control
ClinicalTrials.gov study NCT07325708. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Evaluating internal model strength and performance of myoelectric prosthesis control strategies
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Effects of Myoelectric Channel Count and Targeting for Upper Limb Prosthetic Control
ClinicalTrials.gov study NCT07011420. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Feasibility of Implantable Myoelectric Sensors to Control Upper Limb Prostheses
ClinicalTrials.gov study NCT01901081. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Improving Myoelectric Prosthetic and Orthotic Limb Control
ClinicalTrials.gov study NCT05509101. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Satisfaction and Effect on Daily Living Activities With the Use of Myoelectric Controlled Prosthesis
ClinicalTrials.gov study NCT05261178. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Implantable MyoElectric Sensors (IMES) for Prosthetic Control in Transhumeral Amputees
ClinicalTrials.gov study NCT03644394. IPD Sharing: NO. Countries: 0. Publications: 0.
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