Results 51 to 60 of about 3,364,312 (190)

Recognition of additional myo armband gestures for myoelectric prosthetic applications

, 2020
Myoelectric prostheses are a viable solution for people with amputations. The challenge in implementing a usable myoelectric prosthesis lies in accurately recognizing different hand gestures.
Jabbar Salman Hussain, Raheema, Mithaq Nama, Ahmed Al-Khazzar, Hussain, Jabbar Salman, Al-Khazzar, Ahmed, Mithaq Nama Raheema   +5 more
core   +1 more source

Implications of EMG channel count: enhancing pattern recognition online prosthetic testing

Frontiers in Rehabilitation Sciences
IntroductionMyoelectric pattern recognition systems have shown promising control of upper limb powered prostheses and are now commercially available.
Ann M. Simon, Ann M. Simon, Keira Newkirk, Laura A. Miller, Laura A. Miller, Kristi L. Turner, Kevin Brenner, Michael Stephens, Levi J. Hargrove, Levi J. Hargrove, Levi J. Hargrove   +10 more
doaj   +1 more source

Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control

Journal of NeuroEngineering and Rehabilitation, 2021
Background Processing the surface electromyogram (sEMG) to decode movement intent is a promising approach for natural control of upper extremity prostheses.
Alexander E. Olsson, Nebojša Malešević, Anders Björkman, Christian Antfolk   +3 more
doaj   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source

A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization [PDF]

The lack of a robust scheme that can withstand the muscle contraction force variations (MCFV) in pattern recognition (PR)-based myoelectric prosthesis is a major challenge that prevents it from being fully realized in clinical settings.
Samuel, O., McEwan, A., Asogbon, M.
core   +1 more source

Toward Pose Invariant Bionic Limb Control: A Comparative Study of Two Unsupervised Domain Adaptation Methods

IEEE Access
Bionic limb control through myoelectric pattern recognition, offering intuitive decoding of motor intent, can improve the quality of life for individuals with amputations.
Alexander Hannius, Rita Laezza, Jan Zbinden   +2 more
doaj   +1 more source

Evaluation of an Information Flow Gain Algorithm for Microsensor Information Flow in Limber Motor Rehabilitation

Complexity, 2021
This paper conducts an evaluative study on the rehabilitation of limb motor function by using a microsensor information flow gain algorithm and investigates the surface electromyography (EMG) signals of the upper limb during rehabilitation training.
Naiqiao Ning, Yong Tang
doaj   +1 more source

Targeted Muscle Reinnervation for Intuitive Prosthetic Control

Muscle &Nerve, EarlyView.
ABSTRACT The convergence of medical and technological advances has led to a substantial expansion of therapeutic approaches for patients with limb amputations. Targeted muscle reinnervation (TMR) is one of the strategies to improve control of bionic arms and has been applied for more than two decades. Through surgical rewiring of the nerves responsible
Nitay Maile, Laura Ferrante, Dario Farina, Ulla Al Dabbass, Oskar C. Aszmann, Vlad Tereshenko   +5 more
wiley   +1 more source

Informative shape representations for human action recognition

, 2006
Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition by spatiotemporal shape analysis ...
Liang Wang, D. Suter, Suter, D., Wang, L.   +3 more
core   +1 more source

Regenerative Peripheral Nerve Interface (RPNI) Surgery for Naturalistic Prosthetic Control

Muscle &Nerve, EarlyView.
ABSTRACT Loss of limb function remains a significant public health challenge affecting millions of people worldwide, causing high rates of disability, unemployment, and chronic pain. Current neuroprosthetic devices are limited by unintuitive control and poor long‐term embodiment.
Ahneesh J. Mohanty, Yucheng Tian, Theodore A. Kung, Cynthia A. Chestek, Alex K. Vaskov, Deanna H. Gates, Alison K. Snyder‐Warwick, Paul S. Cederna   +7 more
wiley   +1 more source