Analysis of the SEP using the Hilbert transform

B. Kaufman; A. V. Sahakian; J. B. Myklebust

Analysis of the SEP using the Hilbert transform

B. Kaufman^*, A. V. Sahakian, J. B. Myklebust

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

A method of parameterizing and evaluating somatosensory evoked potentials (SEPs) based on the SEP's Hilbert transform, a signal in the time domain, is developed. The latencies at which the Hilbert transform amplitude passes through zero are extracted. In order to test the Hilbert transform as a classification tool for SEPs, the MS method was developed. This method is based on the existence and latencies of five consecutive Hilbert transform zero crossings, which correspond to five SEP peaks of alternating polarity, and thus define an M waveshape in the SEP. Classification by this method agrees with independent clinical evaluation of SEPs for seven of ten control subjects and for eight of ten patients with cervical spondylosis myelopathy.

Original language	English (US)
Title of host publication	Biomedical Engineering Perspectives
Subtitle of host publication	Health Care Technologies for the 1990's and Beyond
Publisher	Publ by IEEE
Pages	887-888
Number of pages	2
Edition	pt 2
ISBN (Print)	0879425598
State	Published - Dec 1 1990
Event	Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA Duration: Nov 1 1990 → Nov 4 1990

Other

Other	Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	Philadelphia, PA, USA
Period	11/1/90 → 11/4/90

ASJC Scopus subject areas

Bioengineering

Cite this

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title = "Analysis of the SEP using the Hilbert transform",

abstract = "A method of parameterizing and evaluating somatosensory evoked potentials (SEPs) based on the SEP's Hilbert transform, a signal in the time domain, is developed. The latencies at which the Hilbert transform amplitude passes through zero are extracted. In order to test the Hilbert transform as a classification tool for SEPs, the MS method was developed. This method is based on the existence and latencies of five consecutive Hilbert transform zero crossings, which correspond to five SEP peaks of alternating polarity, and thus define an M waveshape in the SEP. Classification by this method agrees with independent clinical evaluation of SEPs for seven of ten control subjects and for eight of ten patients with cervical spondylosis myelopathy.",

author = "B. Kaufman and Sahakian, {A. V.} and Myklebust, {J. B.}",

year = "1990",

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T1 - Analysis of the SEP using the Hilbert transform

AU - Kaufman, B.

AU - Sahakian, A. V.

AU - Myklebust, J. B.

PY - 1990/12/1

Y1 - 1990/12/1

N2 - A method of parameterizing and evaluating somatosensory evoked potentials (SEPs) based on the SEP's Hilbert transform, a signal in the time domain, is developed. The latencies at which the Hilbert transform amplitude passes through zero are extracted. In order to test the Hilbert transform as a classification tool for SEPs, the MS method was developed. This method is based on the existence and latencies of five consecutive Hilbert transform zero crossings, which correspond to five SEP peaks of alternating polarity, and thus define an M waveshape in the SEP. Classification by this method agrees with independent clinical evaluation of SEPs for seven of ten control subjects and for eight of ten patients with cervical spondylosis myelopathy.

AB - A method of parameterizing and evaluating somatosensory evoked potentials (SEPs) based on the SEP's Hilbert transform, a signal in the time domain, is developed. The latencies at which the Hilbert transform amplitude passes through zero are extracted. In order to test the Hilbert transform as a classification tool for SEPs, the MS method was developed. This method is based on the existence and latencies of five consecutive Hilbert transform zero crossings, which correspond to five SEP peaks of alternating polarity, and thus define an M waveshape in the SEP. Classification by this method agrees with independent clinical evaluation of SEPs for seven of ten control subjects and for eight of ten patients with cervical spondylosis myelopathy.

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M3 - Conference contribution

AN - SCOPUS:0025558739

SN - 0879425598

SP - 887

EP - 888

BT - Biomedical Engineering Perspectives

PB - Publ by IEEE

T2 - Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 1 November 1990 through 4 November 1990

ER -

Analysis of the SEP using the Hilbert transform

Abstract

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ASJC Scopus subject areas

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