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Journal ArticleDOI

Myoelectric Signal Processing: Optimal Estimation Applied to Electromyography - Part II: Experimental Demonstration of Optimal Myoprocessor Performance

TLDR
This paper (Part II of two) presents an experimental demonstration of the performance achieved by implementing the mathematically derived optimal myoprocessor, and excellent agreement of the experimental results with the analytical predictions verifies the mathematical analysis.
Abstract
This paper (Part II of two) presents an experimental demonstration of the performance achieved by implementing the mathematically derived optimal myoprocessor described in Part I. Almost an order-of-magnitude improvement over the common myoprocessor is obtained. Excellent agreement of the experimental results with the analytical predictions verifies the mathematical analysis. The relative contributions of each stage of the optimal myoprocessor are examined. A discussion and comparison of several existing and proposed techniques for myoprocessor improvement are presented.

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Citations
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Journal ArticleDOI

Adaptive control of mechanical impedance by coactivation of antagonist muscles

TL;DR: Some biomechanical modeling and analyses are presented leading to a prediction of simultaneous activation of antagonist muscles in the maintenance of upright posture of the forearm and hand and an experimental observation of antagonist coactivation.
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Sampling, noise-reduction and amplitude estimation issues in surface electromyography

TL;DR: Data acquisition and signal processing issues relative to producing an amplitude estimate of surface EMG, and methods for estimating the amplitude of the EMG are reviewed.
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EMG feature evaluation for movement control of upper extremity prostheses

TL;DR: A new feature, the EMG Histogram, is introduced and shown to be the most effective of the group and done on the data acquired from the residual biceps and triceps muscle of an above-elbow amputee.
Journal ArticleDOI

Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review

TL;DR: An unambiguous taxonomy, applicable to control systems for upper limb prostheses and also to prostheses in general is suggested and a functionally partitioned model of the prosthesis control problem is presented along with the taxonomy.
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Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions.

TL;DR: The purpose of this paper is to briefly review the most frequently used algorithms for EMG variable estimation, compare them using computer generated as well as real signals and outline the advantages and drawbacks of each.
References
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Journal ArticleDOI

Relation of human electromyogram to muscular tension

TL;DR: It is shown that a lag of approximately 0.08 ± 0.02 sec. exists between peak electrical activity and peak tension of human muscle, which should be taken into account in the analysis of rapid movements.
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Interpretation of myoelectric power spectra: A model and its applications

TL;DR: In this article, a mathematical model describing the power spectrum of myoelectric signals is presented, where the influences of electrode cofiguration and of biological parameters such as muscle-fiber radius, action-potential conduction velocity, spread of synapses over the innervation zone, number of fibers per motor unit, and electrode-to-muscle distance are expressed in terms of filter functions modifying the shape of the generator signal.
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A microprocessor system for multifunctional control of upper-limb prostheses via myoelectric signal identification

TL;DR: Real-time on-line results are presented, as recently obtained from tests carried out on a 1969 Vietnam above-elbow amputee who had most severe nerve and muscle loss at his stump, and could therefore not use more than one or two electrode pairs.
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The Human as an Optimal Controller and Information Processor

TL;DR: A mathematical model of the instrument-monitoring behavior of the human operator is developed, based on the assumption that the operator behaves as an optimal controller and information processor, subject to his inherent physical limitations.
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