[HTML][HTML] A review of classification techniques of EMG signals during isotonic and isometric contractions
In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
Myoelectric control of prosthetic hands: state-of-the-art review
P Geethanjali - Medical Devices: Evidence and Research, 2016 - Taylor & Francis
Myoelectric signals (MES) have been used in various applications, in particular, for
identification of user intention to potentially control assistive devices for amputees, orthotic …
identification of user intention to potentially control assistive devices for amputees, orthotic …
Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm
Driver drowsiness and loss of vigilance are a major cause of road accidents. Monitoring
physiological signals while driving provides the possibility of detecting and warning of …
physiological signals while driving provides the possibility of detecting and warning of …
[图书][B] Electromyography: physiology, engineering, and non-invasive applications
R Merletti, PJ Parker - 2004 - books.google.com
A complete overview of electromyography with contributions from pacesetters in the field In
recent years, insights from the field of engineering have illuminated the vast potential of …
recent years, insights from the field of engineering have illuminated the vast potential of …
A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems
Considerable scientific and technological efforts have been devoted to develop
neuroprostheses and hybrid bionic systems that link the human nervous system with …
neuroprostheses and hybrid bionic systems that link the human nervous system with …
Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals
A fundamental component of many modern prostheses is the myoelectric control system,
which uses the electromyogram (EMG) signals from an individual's muscles to control the …
which uses the electromyogram (EMG) signals from an individual's muscles to control the …
A wavelet-based continuous classification scheme for multifunction myoelectric control
This work represents an ongoing investigation of dexterous and natural control of powered
upper limbs using the myoelectric signal. When approached as a pattern recognition …
upper limbs using the myoelectric signal. When approached as a pattern recognition …
A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses
This paper introduces and evaluates the use of Gaussian mixture models (GMMs) for
multiple limb motion classification using continuous myoelectric signals. The focus of this …
multiple limb motion classification using continuous myoelectric signals. The focus of this …
A comparison of surface and intramuscular myoelectric signal classification
LJ Hargrove, K Englehart… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
The surface myoelectric signal (MES) has been used as an input to controllers for powered
prostheses for many years. As a result of recent technological advances it is reasonable to …
prostheses for many years. As a result of recent technological advances it is reasonable to …
Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features
Recent studies in Electromyogram (EMG) pattern recognition reveal a gap between
research findings and a viable clinical implementation of myoelectric control strategies. One …
research findings and a viable clinical implementation of myoelectric control strategies. One …