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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

The electromyography (EMG) signal is the electrical manifestation of a neuromuscular activation that provides access to physiological processes which cause the muscle to generate force and produce movement. Non invasive prostheses use such…

Machine Learning · Computer Science 2015-11-20 Mara Graziani

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

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…

This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosthetic development and Brain-Computer Interface (BCI) applications, especially for patients with motor disorders. Particularly, it focuses on…

Signal Processing · Electrical Eng. & Systems 2025-05-19 Ali Rabiee , Sima Ghafoori , Anna Cetera , Reza Abiri

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…

Prosthetic hands can be used to support upper-body amputees. Myoelectric prosthesis, one of the externally-powered active prosthesis categories, requires proper processing units in addition to recording electrodes and instrumentation…

Objective: Variation of forearm orientation is one of the crucial factors that drastically degrades the forearm orientation invariant hand gesture recognition performance or the degree of freedom and limits the successful commercialization…

Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow the user to regain use of an impaired limb. To be fully wearable, such devices must have…

Robotics · Computer Science 2018-02-02 Cassie Meeker , Sangwoo Park , Lauri Bishop , Joel Stein , Matei Ciocarlie

Electroencephalogram (EEG) based brain-computer interface (BCI) systems are useful tools for clinical purposes like neural prostheses. In this study, we collected EEG signals related to grasp motions. Five healthy subjects participated in…

Human-Computer Interaction · Computer Science 2020-05-12 Jeong-Hyun Cho , Ji-Hoon Jeong , Seong-Whan Lee

The instability of myoelectric signals over time complicates their use to control highly articulated prostheses. To address this problem, studies have tried to combine surface electromyography with modalities that are less affected by the…

Computer Vision and Pattern Recognition · Computer Science 2017-09-08 Andrea Gigli , Arjan Gijsberts , Valentina Gregori , Matteo Cognolato , Manfredo Atzori , Barbara Caputo

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…

For lower arm amputees, prosthetic hands promise to restore most of physical interaction capabilities. This requires to accurately predict hand gestures capable of grabbing varying objects and execute them timely as intended by the user.…

Machine Learning · Computer Science 2021-01-15 Mehrshad Zandigohar , Mo Han , Deniz Erdogmus , Gunar Schirner

An accurate classification of upper limb movements using electroencephalography (EEG) signals is gaining significant importance in recent years due to the prevalence of brain-computer interfaces. The upper limbs in the human body are…

Signal Processing · Electrical Eng. & Systems 2023-04-14 Saadat Ullah Khan , Muhammad Majid , Syed Muhammad Anwar

The Electromyography (EMG) signal is the electrical activity produced by cells of skeletal muscles in order to provide a movement. The non-invasive prosthetic hand works with several electrodes, placed on the stump of an amputee, that…

Machine Learning · Computer Science 2016-05-25 Valentina Gregori

The lack of haptically aware upper-limb prostheses forces amputees to rely largely on visual cues to complete activities of daily living. In contrast, able-bodied individuals inherently rely on conscious haptic perception and automatic…

Robotics · Computer Science 2022-11-18 Neha Thomas , Farimah Fazlollahi , Jeremy D. Brown , Katherine J. Kuchenbecker

Clinical myoelectric prostheses lack the sensory feedback and sufficient dexterity required to complete activities of daily living efficiently and accurately. Providing haptic feedback of relevant environmental cues to the user or imbuing…

Robotics · Computer Science 2023-02-01 Neha Thomas , Alexandra J. Miller , Hasan Ayaz , Jeremy D. Brown

Surface electromyography is a valid tool to gather muscular contraction signals from intact and amputated subjects. Electromyographic signals can be used to control prosthetic devices in a noninvasive way distinguishing the movements…

Machine Learning · Computer Science 2015-11-25 Francesca Giordaniello

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

Kinematics decoding from brain activity helps in developing rehabilitation or power-augmenting brain-computer interface devices. Low-frequency signals recorded from non-invasive electroencephalography (EEG) are associated with the neural…

Signal Processing · Electrical Eng. & Systems 2022-08-30 Anant Jain , Lalan Kumar
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