Physiology And Mathematics Of Myoelectric Signals
C. D. Luca
Published 1979 · Computer Science
Download PDFAnalyze on Scholarcy
The myoelectric (ME) signal is the electrical manifestation of the neuromuscular activation associated with a contracting muscle. It is an exceedingly complicated signal which is affected by the anatomical and physiological properties of muscles, the control scheme of the peripheral nervous system, as well as the characteristics of the instrumentation that is used to detect and observe it. Most of the relationships between the ME signal and the properties of a contracting muscle which are presently employed have evolved serendipitously. The lack of a proper description of the ME signal is probably the greatest single factor which has hampered the development of electromyography (EMG) into a precise discipline.
This paper is referenced by
Electromyographic and discomfort analysis of confined-space shipyard welding processes.
B. Lowe (2001)
Continuous wavelet transform in the evaluation of stretch reflex responses from surface EMG
R. Leao (2004)
Agonist-antagonist common drive during fatiguing knee extension efforts using surface electromyography.
H. Mullany (2002)
EMG Modeling and Simulation
Madeleine M. Lowery (2016)
Effect of bite force on the power spectrum of the surface electromyogram of human jaw muscles.
S. Palla (1981)
Mobile Internet based construction supply chain management: A critical review
Q. Shi (2016)
Continuous wavelet transform application to EMG signals during human gait
A.R. Ismail (1998)
The Use of Electromyography for the Noninvasive Prediction of Muscle Forces
J. Dowling (1997)
Acoustic myography: a noninvasive monitor of motor unit fatigue.
D. T. Barry (1985)
Phasic behavior of EMG signals during gait: Use of multivariate statistics.
B. Davis (1993)
Surface EMG based muscle fatigue evaluation in biomechanics.
M. Cifrek (2009)
The electromyogram (EMG) as a control signal for functional neuromuscular stimulation. I. Autoregressive modeling as a means of EMG signature discrimination
G. Hefftner (1988)
A pseudoperiodic model for myoelectric signal during dynamic exercise
J N Helal (1989)
New Results on Classifying EMG Signals for Interfacing Patients and Mechanical Devices
Giuseppina Gini (2014)
A semg-based MP3 player control system
M. Huang (2013)
Motor Unit Potential Train Validation and Its Application in EMG Signal Decomposition
Hossein Parsaei (2012)
Bispectrum-based features classification for myoelectric control
E. Orosco (2013)
Study of myographic signals from sternomastoid muscle in patients with chronic obstructive pulmonary disease
M. A. Mañanas (2000)
Mechanomyogram and electromyogram responses of upper limb during sustained isometric fatigue with varying shoulder and elbow postures.
N. Mamaghani (2002)
Identification of number of independent sources in surface EMG recording using over complete ICA
G. Naik (2007)
The effects of four time-varying factors on the mean frequency of a myoelectric signal.
A. D. Cechetto (2001)
A Method of Controlling Household Electrical Appliance by Hand Motion in LonWorks
Il-Joo Shim (2005)
Relation Between Wavelet-Biopotential Likeness and Wavelet Compression of Biopotential Trains
J. Martinez-Bonetti (2006)
Subtle, intimate interfaces for mobile human computer interaction
E. Costanza (2006)
A method of discriminating fingers and wrist action from surface EMG signals for controlling robotic or prosthetic forearm hand
Takuhei Kawano (2016)
The theoretical development of a multichannel time-series myoprocessor for simultaneous limb function detection and muscle force estimation
R.J. Triolo (1989)
A muscle-force model with physiological bases
P. Contessa (2010)
sEMG based quantitative assessment of acupuncture on Bell’s palsy: an experimental study
Jianda Han (2015)
Influence of posture and breathing route on neural drive to upper airway dilator muscles during exercise.
J. S. Williams (2000)
Séparation d'un mélange sous-déterminé de sources par simulation stochastique
É. Carpentier (2005)
Supervisory system of myoelectric prostheses
C. Bonivento (1998)
Effects of fatigue on selected injury risk factors in Association football
N. Rahnama (2003)See more