Literature DB >> 17614134

Equalization filters for multiple-channel electromyogram arrays.

Edward A Clancy1, Hongfang Xia, Anita Christie, Gary Kamen.   

Abstract

Multiple-channels of electromyogram activity are frequently transduced via electrodes, then combined electronically to form one electrophysiologic recording, e.g. bipolar, linear double difference and Laplacian montages. For high quality recordings, precise gain and frequency response matching of the individual electrode potentials is achieved in hardware (e.g., an instrumentation amplifier for bipolar recordings). This technique works well when the number of derived signals is small and the montages are pre-determined. However, for array electrodes employing a variety of montages, hardware channel matching can be expensive and tedious, and limits the number of derived signals monitored. This report describes a method for channel matching based on the concept of equalization filters. Monopolar potentials are recorded from each site without precise hardware matching. During a calibration phase, a time-varying linear chirp voltage is applied simultaneously to each site and recorded. Based on the calibration recording, each monopolar channel is digitally filtered to "correct" for (equalize) differences in the individual channels, and then any derived montages subsequently created. In a hardware demonstration system, the common mode rejection ratio (at 60 Hz) of bipolar montages improved from 35.2+/-5.0 dB (prior to channel equalization) to 69.0+/-5.0 dB (after equalization).

Mesh:

Year:  2007        PMID: 17614134      PMCID: PMC1994086          DOI: 10.1016/j.jneumeth.2007.05.025

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  30 in total

1.  Noninvasive estimation of motor unit conduction velocity distribution using linear electrode arrays.

Authors:  D Farina; E Fortunato; R Merletti
Journal:  IEEE Trans Biomed Eng       Date:  2000-03       Impact factor: 4.538

2.  Non-invasive detection of the single motor unit action potential by averaging the spatial potential distribution triggered on a spatially filtered motor unit action potential.

Authors:  C Disselhorst-Klug; G Rau; A Schmeer; J Silny
Journal:  J Electromyogr Kinesiol       Date:  1999-02       Impact factor: 2.368

3.  Effect of age on muscle functions investigated with surface electromyography.

Authors:  Roberto Merletti; Dario Farina; Marco Gazzoni; Maria Pia Schieroni
Journal:  Muscle Nerve       Date:  2002-01       Impact factor: 3.217

4.  EMG signal decomposition: how can it be accomplished and used?

Authors:  D Stashuk
Journal:  J Electromyogr Kinesiol       Date:  2001-06       Impact factor: 2.368

Review 5.  Clinical applications of high-density surface EMG: a systematic review.

Authors:  Gea Drost; Dick F Stegeman; Baziel G M van Engelen; Machiel J Zwarts
Journal:  J Electromyogr Kinesiol       Date:  2006-12       Impact factor: 2.368

6.  Motor unit size estimation of enlarged motor units with surface electromyography.

Authors:  K Roeleveld; A Sandberg; E V Stålberg; D F Stegeman
Journal:  Muscle Nerve       Date:  1998-07       Impact factor: 3.217

7.  Physiology and mathematics of myoelectric signals.

Authors:  C J De Luca
Journal:  IEEE Trans Biomed Eng       Date:  1979-06       Impact factor: 4.538

8.  Spatial filtering of noninvasive multielectrode EMG: Part I--Introduction to measuring technique and applications.

Authors:  H Reucher; G Rau; J Silny
Journal:  IEEE Trans Biomed Eng       Date:  1987-02       Impact factor: 4.538

9.  Automatic decomposition of the clinical electromyogram.

Authors:  K C McGill; K L Cummins; L J Dorfman
Journal:  IEEE Trans Biomed Eng       Date:  1985-07       Impact factor: 4.538

10.  A procedure for decomposing the myoelectric signal into its constituent action potentials--Part II: Execution and test for accuracy.

Authors:  R S LeFever; A P Xenakis; C J De Luca
Journal:  IEEE Trans Biomed Eng       Date:  1982-03       Impact factor: 4.538

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.