C20 - Prosthetic Free Papers

This session contains the following Free Papers

(#C20A) Improving Prosthetic Hand Control with High Amplitude EMG from Rpnis and Implanted Electrodes -
Presenter: Alex Vaskov, PhD – University of Michigan
In a clinical trial, four patients have had intramuscular electrodes implanted into Regenerative Peripheral Nerve Interfaces and remaining muscles for improved prosthetic hand control. This presentation will focus on the EMG signal quality from the implanted electrodes seen across all four patients its implications as an interface for accurate and reliable device control.

(#C20B) The Coffee Task: An Assessment of Multi-grip Upper Limb Prosthetic Performance -
Presenter: Deanna Gates, PhD – Associate Professor, University of Michigan
We presented a new functional assessment, the Coffee Task, which is specifically designed to measure performance related to grasp transitions during multi-articulating prosthesis use. With healthy emulator users, we demonstrated that the Coffee Task has high inter-rater reliability, demonstrated known-group difference and convergent validity, and responsiveness to training.

(#C20C) Algorithmic Two-site Selection for Upper-limb Myoelectric Prosthetic Control -
Presenter: Kevin Lawrence, Research Engineer
This presentation discusses the development and testing of the OptiMyo system. The system uses a matrix of electrodes and an algorithm to select the optimal sites and control strategy for 2-site upper-limb myoelectric prosthetic control. The system was tested against traditional site finding methods using a measure of EMG skill.

(#C20D) Game-based Myocontrol Practice for Improving Pattern Recognition Performance -
Presenter: Zachary Wright, PhD – Research Principal Investigator, Coapt
Encouraging upper-limb myoelectric prosthesis wearers to vary their muscle activity patterns when training their pattern recognition control system can often improve motion classification performance. One way to do this is to have wearers play virtual games which can simulate realistic prosthesis use conditions they encounter every day. We investigate whether adapting wearers’ pattern recognition controller based on their muscle activity patterns recorded during virtual gameplay can improve motion classification performance across days of myoelectric control practice.

(#C20E) Hand Surgeon Understanding of Partial Hand Prostheses: Results of a National Survey Study -
Presenter: Chris Baschuk, MPO, CPO, FAAOP(D) – Director of Clinical Services, Point Designs, LLC
Hand surgeons have varying degree of familiarity with contemporary partial hand prosthetic rehabilitation. Prosthetists have the opportunity to bridge this knowledge gap and improve the outcomes for individuals with partial hand loss or difference by encouraging surgeons to consider the available prosthetic options when making surgical decisions regarding amputation length and type.

(#C20F) Ratcheting Prosthetic Fingers Significantly Improve Outcomes for People with Partial Hand Amputation - Chris Baschuk
Presenter: Chris Baschuk, MPO, CPO, FAAOP(D) – Director of Clinical Services, Point Designs, LLC
This study provides quantitative data demonstrating the benefits of partial hand prostheses. These data can be used to improve insurance authorization requests and regulatory submissions. Additionally, this study identified a possible need for a task-based outcome measure more tailored to the partial hand population.