Correlated multi-myoelectric channel model and its SNR characteristics

Y. T. Zhang; P. A. Parker; R. N. Scott

doi:10.1109/iembs.1989.95963

Correlated multi-myoelectric channel model and its SNR characteristics

Y. T. Zhang, P. A. Parker, R. N. Scott

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

A multimyoelectric channel (multi-MEC) model for improvement of the signal-to-noise ratio (SNR) is presented. A channel performance analysis is carried out for the correlated multi-MEC. It is shown that the SNR depends on both physiological parameters such as mean firing rate and number of motor units and electric parameters such as correlation coefficient and the number of myoelectric channels.

Original language	English
Pages (from-to)	747-748
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Proceedings
Volume	11 pt 2
DOIs	https://doi.org/10.1109/iembs.1989.95963
Publication status	Published - 1989
Externally published	Yes
Event	Images of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 - Seattle, WA, USA Duration: 9 Nov 1989 → 12 Nov 1989

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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@article{9330edbf7a734a08835b58712c0263f9,

title = "Correlated multi-myoelectric channel model and its SNR characteristics",

abstract = "A multimyoelectric channel (multi-MEC) model for improvement of the signal-to-noise ratio (SNR) is presented. A channel performance analysis is carried out for the correlated multi-MEC. It is shown that the SNR depends on both physiological parameters such as mean firing rate and number of motor units and electric parameters such as correlation coefficient and the number of myoelectric channels.",

author = "Zhang, {Y. T.} and Parker, {P. A.} and Scott, {R. N.}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; Images of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 ; Conference date: 09-11-1989 Through 12-11-1989",

year = "1989",

doi = "10.1109/iembs.1989.95963",

language = "English",

volume = "11 pt 2",

pages = "747--748",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Proceedings",

issn = "0589-1019",

publisher = "IEEE",

}

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - Correlated multi-myoelectric channel model and its SNR characteristics

AU - Zhang, Y. T.

AU - Parker, P. A.

AU - Scott, R. N.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1989

Y1 - 1989

N2 - A multimyoelectric channel (multi-MEC) model for improvement of the signal-to-noise ratio (SNR) is presented. A channel performance analysis is carried out for the correlated multi-MEC. It is shown that the SNR depends on both physiological parameters such as mean firing rate and number of motor units and electric parameters such as correlation coefficient and the number of myoelectric channels.

AB - A multimyoelectric channel (multi-MEC) model for improvement of the signal-to-noise ratio (SNR) is presented. A channel performance analysis is carried out for the correlated multi-MEC. It is shown that the SNR depends on both physiological parameters such as mean firing rate and number of motor units and electric parameters such as correlation coefficient and the number of myoelectric channels.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0024926312&origin=recordpage

U2 - 10.1109/iembs.1989.95963

DO - 10.1109/iembs.1989.95963

M3 - RGC 21 - Publication in refereed journal

SN - 0589-1019

VL - 11 pt 2

SP - 747

EP - 748

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Proceedings

T2 - Images of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2

Y2 - 9 November 1989 through 12 November 1989

ER -

Correlated multi-myoelectric channel model and its SNR characteristics

Abstract

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