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Related papers: Electromyography biofeedback system with visual an…

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Stroke rehabilitation continues to face challenges in accessibility and patient engagement, where traditional approaches often fall short. Virtual reality (VR)-based telerehabilitation offers a promising avenue, by enabling home-based…

Human-Computer Interaction · Computer Science 2025-01-14 Pedro Rodrigues , Claudia Quaresma , Maria Costa , Filipe Luz , Maria Micaela Fonseca

Electromyography (EMG) is a measure of muscular electrical activity and is used in many clinical/biomedical disciplines and modern human computer interaction. Myo-electric prosthetics analyze and classify the electrical signals recorded…

Robotics · Computer Science 2024-11-26 Mosab Diab , Ashraf Mohammed , Yinlai Jiang

Stroke is a medical condition that can affect motor function, particularly dynamic balance. Biofeedback can aid in rehabilitation procedures which help patients to regain lost motor activity and recover functionality. In this work, we are…

Robotics · Computer Science 2023-01-18 Franco Paviotti , Esteban Buniak , Rodrigo Ramele , Orestes Freixes , Juan Miguel Santos

Myoelectric prosthetic hands are intended to replace the function of the amputee's lost arm. Therefore, developing robotic prosthetics that can mimic not only the appearance and functionality of humans but also characteristics unique to…

Robotics · Computer Science 2021-10-28 Akira Furui , Kosuke Nakagaki , Toshio Tsuji

According to the World Health Organization (WHO), 30 million people are in need of prosthetic and orthotic devices. Some people are born with this limb loss, while others lose limbs due to diseases such as Cancer, diabetes, and work…

Signal Processing · Electrical Eng. & Systems 2023-08-09 Ahmed Naguib , Dina Reda Eldamak

The main purpose of the paper is development, implementation, and testing of a low-cost portable system to assist partially paralyzed patients in their hand rehabilitation after strokes or some injures. Rehabilitation includes time…

Human-Computer Interaction · Computer Science 2025-03-18 Hussein Naeem Hasan

Myoelectric prosthetic hands are typically controlled to move between discrete positions and do not provide sensory feedback to the user. In this work, we present and evaluate a closed-loop, continuous myoelectric prosthetic hand…

The upper limb of the body is a vital for various kind of activities for human. The complete or partial loss of the upper limb would lead to a significant impact on daily activities of the amputees. EMG carries important information of…

Human-Computer Interaction · Computer Science 2024-10-28 Sidharth Pancholi , Amit M. Joshi Deepak Joshi , Bradly S. Duerstock

Affordable upper-limb prostheses often lack intuitive control systems, limiting functionality and accessibility for amputees in low-resource settings. This project presents a low-cost, dual-mode neuro-muscular control system integrating…

Machine Learning · Computer Science 2025-12-22 Pranesh Sathish Kumar

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…

Lower limb prosthesis can benefit from embedded systems capable of applying computer vision techniques to enhance autonomous control and context awareness for intelligent decision making. In order to fill in the gap of current literature of…

Signal Processing · Electrical Eng. & Systems 2020-06-30 Rafael L. da Silva , Nathan Starliper , Boxuan Zhong , He Helen Huang , Edgar Lobaton

The upper limb robotic exoskeleton is an electromechanical device which use to recover a patients motor dysfunction in the rehabilitation field. It can provide repetitive, comprehensive, focused, positive, and precise training to regain the…

Robotics · Computer Science 2024-09-01 Sanjukta Halder , Amit Kumar

Upper-extremity amputees who use myoelectric prostheses currently lack the haptic sensory information needed to perform dexterous activities of daily living. While considerable research has focused on restoring this haptic information,…

Robotics · Computer Science 2022-10-03 Kezi Li , Jeremy D. Brown

Stroke patients often experience upper limb impairments that restrict their mobility and daily activities. Physical therapy (PT) is the most effective method to improve impairments, but low patient adherence and participation in PT…

An arm amputation is extremely invalidating since many of our daily tasks require bi-manual and precise control of hand movements. Perfect hand prostheses should therefore offer a natural, intuitive and cognitively simple control over their…

Neurons and Cognition · Quantitative Biology 2019-04-29 Nathanael Jarrasse , Caroline Nicol , Florian Richer , Amelie Touillet , Noël Martinet , Jean Paysant , Jozina de Graaf

This article explores assistive devices for upper limb movement in people with disabilities through a systematic review based on the PRISMA methodology. The studied devices encompass technologies ranging from orthoses to advanced robotics,…

Timely and adequate rehabilitation is critical in facilitating post-stroke recovery. However, the organization and delivery of rehabilitation are resource-demanding, and are only available to approximately 25% of stroke survivors in…

Human-Computer Interaction · Computer Science 2024-02-13 Elton H. L. Yeung , Yingxian Chen , Wilton W. T. Fok , Gary K. K. Lau

-This article presents clinical results from the use of MONIMAD, a reactive robotized interface for lower limb Rehabilitation of patients suffering from cerebellar disease. The first problem to be addressed is the postural analysis of…

Robotics · Computer Science 2015-07-03 Ludovic Saint-Bauzel , Viviane Pasqui , Isabelle Monteil

Physical movement therapy is a crucial method of rehabilitation aimed at reinstating mobility among patients facing motor dysfunction due to neurological conditions or accidents. Such therapy is usually featured as patient-specific,…

Robotics · Computer Science 2024-12-06 Teng Li

Despite decades of research and development of pattern recognition approaches, the clinical usability of myoelectriccontrolled prostheses is still limited. One of the main issues is the high inter-subject variability that necessitates long…

Signal Processing · Electrical Eng. & Systems 2020-11-16 Evan Campbell , Jason Chang , Angkoon Phinyomark , Erik Scheme