A technique has been developed which enables the decomposition (separation) of a myoelectric signal into its constituent motor unit action potential trains. It consists of a multichannel (via one electrode) myoelectric signal recording procedure, a data compression algorithm, a digital filtering algorithm, and a hybrid visual-computer decomposition scheme. The algorithms have been implemented on a PDP 11/34 computer. Of the four major segments of the technique, the decomposition scheme is by far the most involved. The decomposition algorithm uses a-sophisticated template matching routine and details of the firing statistics of the motor units to identify motor unit action potentials in the myoelectric signal, even when they are super-imposed with other motor unit action potentials. In general, the algorithms of the decomposition scheme do not run automatically. They require input from the human operator to maintain reliability and accuracy during a decomposition.

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

Separation of multi-unit nerve impulse trains by a multi-channel linear filter algorithm.

Instruments for sorting neuroelectric data: a review.

Conventional clinical electromyography involves subjective interpretation of the signal recorded from human muscle A variety of recognition techniques have been applied to obtain objective quantitative tmeasures This paper reviews the evolution of analytic techniques applied to the electromyogram Included are a discussion of motor unit action potentials (amplitude, duration, and shape), their identification and interaction within an interference pattern, and application of mathematical modeling techniques to the analysis of complex interference patterns The clinical applications of current electromyographic analyses are summarized

Review of Quantitative and Automated Needle Electromyographic Analyses

The neural activity in the medial articular nerve is partitioned on the basis of conduction velocity by correlation techniques. Because of the small number of cat knee joint units (two to ten) responding under a prescribed set of rotational conditions, it is possible to partition and simultaneously study the units' responses to periodic joint articulation waveforms.

http://science.sciencemag.org/content/sci/188/4186/373.full.pdf

Partition of gross peripheral nerve activity into single unit responses by correlation techniques.

Recording the extracellular neuroelectric activity at several sites along a nerve trunk provides information on single unit action potential shape and conduction velocity. Several correlation techniques are examined for separating the multi-unit neuroelectric activity into the activity of single nerve fibres. An instrument is described that simultaneously separates multi-unit recordings, made at two sites along a nerve trunk, into single unit activity.

Schmidt Em

Papers

Unit activity from peripheral nerve bundles utilizing correlation techniques.