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Journal ArticleDOI

Single motor unit analysis from spatially filtered surface electromyogram signals. Part I: Spatial selectivity

TLDR
To compare experimentally, on the basis of single motor unit (MU) activities, the selectivity of different spatial filters commonly used to detect surface electromyogram (EMG) signals, transverse selectivity was significantly higher for the 2D and transverse onedimensional (1D) filters with respect to the 1D longitudinal filters.
Abstract
The aim of the study was to compare experimentally, on the basis of single motor unit (MU) activities, the selectivity of different spatial filters commonly used to detect surface electromyogram (EMG) signals. Surface EMG signals were recorded from the biceps brachii and the upper trapezius muscle of five subjects using a two-dimensional (2D) electrode array consisting of 16 pin electrodes. The subjects performed isometric contractions at different elbow angles and shoulder abduction and flexion. The same monopolar surface EMG signals were filtered using longitudinal single and double differential, transverse single and double differential and normal double differential filters. From the single MU action potentials, extracted by automatic EMG decomposition, indexes of transverse (perpendicular with respect to the fibre direction) and longitudinal (along the fibre direction) selectivity were computed. The number of detected MUs was 48 for the upper trapezius, with the arms held in the sagittal plane, and 52 when the arms were held in the frontal plane; 85 MUs were identified from the biceps brachii contractions. The results showed that transverse selectivity was significantly higher for the 2D and transverse onedimensional (1D) filters with respect to the 1D longitudinal filters, whereas longitudinal selectivity was higher (i.e. MU action potentials were shorter) for the 2D filter and the longitudinal double differential filter. In particular, the relative attenuation of potential amplitude moving 5 mm from the source was, on average (for the two muscles), 16.5% for the least selective filter in the transverse direction (longitudinal single differential) and 35.7% for the most selective one in the same direction (transverse double differential). The MU action potential duration was, on average, 13.8 ms for the most selective filter in the longitudinal direction (longitudinal double differential) and 18.7 ms for the least selective one (transverse double differential). The normal double differential filter resulted in spatial selectivity indexes that were not statistically different in the two directions from those of the best filters in each direction.

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Citations
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Journal ArticleDOI

Clinical applications of high-density surface EMG: a systematic review.

TL;DR: High density-surface EMG (HD-sEMG) is a non-invasive technique to measure electrical muscle activity with multiple (more than two) closely spaced electrodes overlying a restricted area of the skin this paper.
Journal ArticleDOI

A new method for the extraction and classification of single motor unit action potentials from surface EMG signals.

TL;DR: An automatic system for the detection and classification of MU action potentials from multi-channel surface EMG signals that was validated on simulated signals, at different levels of force, generated by a structure based surface EMg model and able to identify a MU sample representative of the muscle.
Journal ArticleDOI

Inhomogeneities in muscle activation reveal motor unit recruitment

TL;DR: Findings indicate that the spatial inhomogeneities of motor unit properties in the biceps brachii muscle can be used to study changes in motor unit recruitment.
Journal ArticleDOI

Using two-dimensional spatial information in decomposition of surface EMG signals

TL;DR: To detect the firing events of the MUs with a high accuracy, as needed for estimation of firing synchrony, two-dimensional information from the complete grid electrode appears essential.
Journal ArticleDOI

Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals

TL;DR: The BSS approach applied is promising for the separation of surface EMG signals, with applications ranging from muscle assessment to detection of muscle activation intervals, and to the control of myoelectric prostheses.
References
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Journal ArticleDOI

State of the States: The Status of Universal Newborn Hearing Screening, Assessment, and Intervention Systems in 16 States.

TL;DR: The survey establishes a baseline assessment that was conducted by states as part of their first year of participation in a Maternal and Child Health Bureau grant on state systems for universal newborn hearing screening, assessment, and intervention.
Journal ArticleDOI

Influence of anatomical, physical, and detection-system parameters on surface EMG

TL;DR: The influence of thickness of the subcutaneous tissue layers, fiber inclination, fiber depth, electrode size and shape, spatial filter transfer function, interelectrode distance, length of the fibers on surface, single-fiber action-potential amplitude, frequency content, and estimated conduction velocity are investigated in this paper.
Book

Biological Engineering

Liu Qiu
Journal ArticleDOI

Motor unit recruitment strategies investigated by surface EMG variables.

TL;DR: The results do not support the establishment of a general relationship between spectral EMG variables and torque or recruitment strategy and indicate that volume conductor properties play an important role as confounding factors that may mask any relation between EMG spectral variables and estimated CV as a size principle parameter during ramp contractions.
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