György Lévay

Residual muscle activity associated with phantom limb movements after transhumeral amputation without surgical reinnervation: a preliminary ultrasound study

Susannah M. Engdahl, Ahmed Bashatah, György Lévay, Rahul R. Kaliki et autres

Transhumeral amputations often result in significant functional limitations. Multiarticulated myoelectric prostheses for individuals with transhumeral amputations are often unreliable because of limitations in signal quality and challenges with accurately detecting motion intent from the available musculature in the residual limb, leading to …

us (code pays fourni par la source)

Visual Feedback of Pattern Separability Improves Myoelectric Decoding Performance of Upper Limb Prostheses

György Lévay, Christopher L. Hunt, Dániel Czeiner, Rahul R. Kaliki et autres

State-of-the-art upper limb myoelectric prostheses often use pattern recognition (PR) control systems that translate electromyography (EMG) signals into desired movements. As prosthesis movement complexity increases, users often struggle to produce sufficiently distinct EMG patterns for reliable classification. Existing training typically involves heuristic, …

Online Adaptation for Myographic Control of Natural Dexterous Hand and Finger Movements

Joseph Betthauser, Rebecca Greene, Ananya S. Dhawan, John T. Krall et autres

One of the most elusive goals in myographic prosthesis control is the ability to reliably decode continuous positions simultaneously across multiple degrees-of-freedom. Goal: To demonstrate dexterous, natural, biomimetic finger and wrist control of the highly advanced robotic Modular Prosthetic Limb. Methods: We …

PATTERN SEPARABILITY VISUAL FEEDBACK TO IMPROVE PATTERN RECOGNITION DECODING PERFORMANCE

György Lévay, Christopher L. Hunt, Rahul R. Kaliki, Nitish V. Thakor

State-of-the-art myoelectric upper limb prostheses control often utilize pattern recognition (PR) systems that translate electromyograph (EMG) activity to a desired movement. As possible prosthesis movements increase, users have difficulty generating sufficiently separable EMG signals that reliably operate all possible degrees of freedom. …

us (code pays fourni par la source)

Response-related sensorimotor rhythms under scopolamine and MK-801 exposures in the touchscreen visual discrimination test in rats

Diána Kostyalik, Kristóf Kelemen, Balázs Lendvai, István Hernádi et autres

The human mu rhythm has been suggested to represent an important function in information processing. Rodent homologue rhythms have been assumed though no study has investigated them from the cognitive aspect yet. As voluntary goal-directed movements induce the desynchronization of mu rhythm, …

hu (code pays fourni par la source)

Motion prediction using electromyography and sonomyography for an individual with transhumeral limb loss

Susannah M. Engdahl, Ananya S. Dhawan, György Lévay, Ahmed Bashatah et autres

Abstract Controlling multi-articulated prosthetic hands with surface electromyography can be challenging for users. Sonomyography, or ultrasound-based sensing of muscle deformation, avoids some of the problems of electromyography and enables classification of multiple motion patterns in individuals with upper limb loss. Because sonomyography …

us (code pays fourni par la source)

Sensory stimulation enhances phantom limb perception and movement decoding

Luke E. Osborn, Keqin Ding, Mark A. Hays, Rohit Bose et autres

OBJECTIVE: A major challenge for controlling a prosthetic arm is communication between the device and the user's phantom limb. We show the ability to enhance phantom limb perception and improve movement decoding through targeted transcutaneous electrical nerve stimulation in individuals with an …

us, sg, de, hu, gr (code pays fourni par la source)

Sensory stimulation enhances phantom limb perception and movement decoding

Luke E. Osborn, Keqin Ding, Mark A. Hays, Rohit Bose et autres

Abstract Objective A major challenge for controlling a prosthetic arm is communication between the device and the user’s phantom limb. We show the ability to enhance amputees’ phantom limb perception and improve movement decoding through targeted transcutaneous electrical nerve stimulation (tTENS). Approach …

us, sg, de, gr (code pays fourni par la source)

Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement With Temporal Convolutional Networks

Joseph Betthauser, John T. Krall, Shain G. Bannowsky, György Lévay et autres

Prediction of movement intentions from electromyographic (EMG) signals is typically performed with a pattern recognition approach, wherein a short dataframe of raw EMG is compressed into an instantaneous feature-encoding that is meaningful for classification. However, EMG signals are time-varying, implying that a …

us (code pays fourni par la source)

A Mixed-Reality Training Environment for Upper Limb Prosthesis Control

Avinash Sharma, Christopher L. Hunt, Asheesh Maheshwari, Luke E. Osborn et autres

Adjusting to an amputation can often times be difficult for the body. Post-surgery, amputees not only have to incur expensive rehabilitation treatment costs, but also have to wait for up to several months before receiving a properly fitted prosthesis. We developed a …

us, in, br, sg (code pays fourni par la source)

Proprioceptive Sonomyographic Control: A novel method of intuitive proportional control of multiple degrees of freedom for upper-extremity amputees

Ananya S. Dhawan, Biswarup Mukherjee, Shriniwas Patwardhan, Nima Akhlaghi et autres

ABSTRACT Technological advances in multi-articulated prosthetic hands have outpaced the methods available to amputees to intuitively control these devices. Amputees often cite difficulty of use as a key contributing factor for abandoning their prosthesis, creating a pressing need for improved control technology. …

us (code pays fourni par la source)

Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning

Joseph Betthauser, Christopher L. Hunt, Luke E. Osborn, Matthew R. Masters et autres

Myoelectric signals can be used to predict the intended movements of an amputee for prosthesis control. However, untrained effects like limb position changes influence myoelectric signal characteristics, hindering the ability of pattern recognition algorithms to discriminate among motion classes. Despite frequent and …

us (code pays fourni par la source)