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Journal ArticleDOI

Spatial Filtering of Noninvasive Multielectrode EMG: Part I-Introduction to Measuring Technique and Applications

Harald Reucher, +2 more
- 01 Feb 1987 - 
- Vol. 34, Iss: 2, pp 98-105
TLDR
Even in high levels of muscle contraction, single motor unit impulses that are suitably shaped by filtering can be repeatedly recognized in the surface EMG signal.
Abstract
Complementary to its conventional applications, surface EMG is also suited to gain more detailed information on the functional state of a muscle, when measurement configurations with smaller pickup areas are used. A new category of suitable measurement configurations is obtained by application of the spatial filtering principle to electromyography. In a spatial filter unit, the signals of several recording electrodes are combined to form one output signal channel. The filter characteristic is determined by the weighting factors used and by the geometrical arrangement of the electrodes. Extended multielectrode arrays and multichannel recording make possible the detection of correlated excitations at different sites of the muscle. Even in high levels of muscle contraction, single motor unit impulses that are suitably shaped by filtering can be repeatedly recognized in the surface EMG signal. In clinical studies, pathologically shaped impulses have been identified indicating multiple innervation zones. The initiation and the propagation of excitation within single motor units can be detected with improved accuracy even from very small muscles.

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Citations
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Journal ArticleDOI

The extraction of neural strategies from the surface EMG

TL;DR: The review describes the limitations of techniques used to infer the level of muscle activation, the type of motor unit recruited, the upper limit ofMotor unit recruitment, the average discharge rate, and the degree of synchronization between motor units.
Journal ArticleDOI

Normalization of surface EMG amplitude from the upper trapezius muscle in ergonomic studies - A review.

TL;DR: It is concluded that translations of EMGamp(ut) into biomechanical variables, for example relative force development in the shoulder or in the upper trapezius itself, suffer from low validity, especially if used in work tasks involving large and/ or fast arm movements.
Journal ArticleDOI

A Comparison of Surface and Intramuscular Myoelectric Signal Classification

TL;DR: This paper compares the classification accuracy of six pattern recognition-based myoelectric controllers which use multi-channel surface MES as inputs to the same controllers which UseMulti-channel intramuscular M ES as inputs.
Journal ArticleDOI

Crosstalk in surface electromyography: Theoretical and practical estimates.

TL;DR: Three methods to decrease the range of pick-up and thereby potential crosstalk are assessed: electrodes of smaller surface area, reduced bipolar spacing and mathematical differentiation.
Journal ArticleDOI

Methodological aspects of SEMG recordings for force estimation--a tutorial and review.

TL;DR: The problems associated with surface EMG in muscle force estimation are discussed and the solutions that novel methodological developments provide to this problem are discussed.
References
More filters
Journal ArticleDOI

A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials - Part I: Technique, Theory, and Implementation

TL;DR: A technique has been developed which enables the decomposition (separation) of a myoelectric signal into its constituent motor unit action potential trains using a-sophisticated template matching routine and details of the firing statistics of the motor units.
Journal ArticleDOI

The Position of Innervation Zones in the Biceps Brachii Investigated by Surface Electromyography

TL;DR: A computer program was developed, which automatically determined the potential source by applying a correlation calculation and a linear regression to the recorded signals and clarified the distribution of the innervation zones in the biceps brachii.
Journal ArticleDOI

A Note on the Noninvasive Estimation of Muscle Fiber Conduction Velocity

TL;DR: Average muscle action potential conduction velocity values were obtained during isometric constant-force contractions by a cross-correlation technique to minimize the bias introduced by nondelayed activity appearing on the two myoelectric derivations.
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