Results 31 to 40 of about 4,837 (154)

A Biomechanical Comparison of Proportional Electromyography Control to Biological Torque Control Using a Powered Hip Exoskeleton

Frontiers in Bioengineering and Biotechnology, 2017
BackgroundDespite a large increase in robotic exoskeleton research, there are few studies that have examined human performance with different control strategies on the same exoskeleton device.
Aaron J. Young, Hannah Gannon, Daniel P. Ferris, Daniel P. Ferris   +3 more
doaj   +1 more source

Development of Multifunctional Myoelectric Hand Prosthesis System with Easy and Effective Mode Change Control Method Based on the Thumb Position and State

Applied Sciences, 2021
Commercial multi-degrees-of-freedom (multi-DOF) myoelectric hand prostheses can perform various hand gestures and grip motions using multiple DOFs. However, as most upper limb amputees have less than two electromyogram (EMG) signals generated at the ...
Sung-Yoon Jung, Seung-Gi Kim, Joo-Hyung Kim, Se-Hoon Park   +3 more
doaj   +1 more source

Multigrasp myoelectric control for a transradial prosthesis [PDF]

2011 IEEE International Conference on Rehabilitation Robotics, 2011
This paper presents the design and preliminary experimental verification of a multigrasp myoelectric controller. The controller enables the direct and proportional control of a multigrasp transradial prosthesis through a set of nine postures using two surface EMG electrodes.
Skyler A, Dalley, Huseyin Atakan, Varol, Michael, Goldfarb   +2 more
openaire   +2 more sources

Scalability of random forest in myoelectric control [PDF]

Journal of Neural Engineering
Abstract Objective. Myoelectric control systems translate electromyographic (EMG) signals into control commands, enabling immersive human–robot interactions in the real world and the Metaverse.
Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour   +2 more
openaire   +2 more sources

Haptic shared control improves neural efficiency during myoelectric prosthesis use

Scientific Reports, 2023
Clinical myoelectric prostheses lack the sensory feedback and sufficient dexterity required to complete activities of daily living efficiently and accurately.
Neha Thomas, Alexandra J. Miller, Hasan Ayaz, Jeremy D. Brown   +3 more
doaj   +1 more source

Usability Assessment of Body Controlled Electric Hand Prostheses: A Pilot Study

Frontiers in Neurorobotics, 2021
Poly-articulated hands, actuated by multiple motors and controlled by surface myoelectric technologies, represent the most advanced aids among commercial prostheses.
Sasha B. Godfrey, Sasha B. Godfrey, Cristina Piazza, Federica Felici, Giorgio Grioli, Antonio Bicchi, Antonio Bicchi, Manuel G. Catalano, Manuel G. Catalano   +8 more
doaj   +1 more source

Myoelectric Control of the Colon

Gastroenterology, 1975
Recent myoelectric studies support an old view that the colon, like the stomach, is made up of several functionally distinct regions. Gastrointestinal electromyography has enhanced understanding of contractions and flow in the stomach and small intestine, but the colon has been neglected.
openaire   +2 more sources

From Forearm to Wrist: Deep Learning for Surface Electromyography-Based Gesture Recognition

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Though the forearm is the focus of the prostheses, myoelectric control with the electrodes on the wrist is more comfortable for general consumers because of its unobtrusiveness and incorporation with the existing wrist-based wearables.
Jiayuan He, Xinyue Niu, Penghui Zhao, Chuang Lin, Ning Jiang   +4 more
doaj   +1 more source

Myoelectric Gaming in the Rehabilitation of Patients with C7 Spinal Cord Injury

Applied Sciences, 2019
This paper analyses the role of myoelectric games in the rehabilitation of paraplegic patients. The University of Valladolid neuromuscular training system, UVa-NTS platform, which allows the myoelectric command of computer applications, has been ...
Ramón de la Rosa, Albano Carrera, Alonso Alonso, Benito Peñasco-Martín, Angel Gil-Agudo, Evaristo J. Abril   +5 more
doaj   +1 more source

A Transformer-Based Multi-Task Learning Framework for Myoelectric Pattern Recognition Supporting Muscle Force Estimation

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Simultaneous implementation of myoelectric pattern recognition and muscle force estimation is highly demanded in building natural gestural interfaces but a challenging task due to the gesture classification accuracy degradation under varying muscle ...
Xinhui Li, Xu Zhang, Liwei Zhang, Xiang Chen, Ping Zhou   +4 more
doaj   +1 more source