Spatio-temporal source estimation of evoked potentials by wavelet-type decomposition

Amir B Geva; Hillel Pratt; Yehoshua Y Zeevi

doi:10.1007/978-1-4757-9098-6_8

Spatio-temporal source estimation of evoked potentials by wavelet-type decomposition

Amir B Geva, Hillel Pratt, Yehoshua Y Zeevi

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Scalp recording of electrical events allows evaluation of human cerebral function, but contributions of the specific brain structures generating the recorded activity are ambiguous. This problem is ill-posed and cannot be solved without auxiliary physiological knowledge about the spatio-temporal characteristics of the generators’ activity. The widely-used model to describe the evoked potentials’ sources is a set of current dipoles. It does not include a temporal model of source activity and does not propose a solution of the number of sources that are active simultaneously nor how to differentiate their contributions.

Original language	English
Title of host publication	Advances in processing and pattern analysis of biological signals
Editors	Isak Gath, Gideon F. Inbar
Publisher	Springer New York
Pages	103-122
Number of pages	20
ISBN (Electronic)	9781475790986
ISBN (Print)	9780306452154
DOIs	https://doi.org/10.1007/978-1-4757-9098-6_8
State	Published - Jun 1996
Externally published	Yes

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10.1007/978-1-4757-9098-6_8

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title = "Spatio-temporal source estimation of evoked potentials by wavelet-type decomposition",

abstract = "Scalp recording of electrical events allows evaluation of human cerebral function, but contributions of the specific brain structures generating the recorded activity are ambiguous. This problem is ill-posed and cannot be solved without auxiliary physiological knowledge about the spatio-temporal characteristics of the generators{\textquoteright} activity. The widely-used model to describe the evoked potentials{\textquoteright} sources is a set of current dipoles. It does not include a temporal model of source activity and does not propose a solution of the number of sources that are active simultaneously nor how to differentiate their contributions.",

author = "Geva, {Amir B} and Hillel Pratt and Zeevi, {Yehoshua Y}",

year = "1996",

month = jun,

doi = "10.1007/978-1-4757-9098-6_8",

language = "English",

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pages = "103--122",

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AU - Pratt, Hillel

AU - Zeevi, Yehoshua Y

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N2 - Scalp recording of electrical events allows evaluation of human cerebral function, but contributions of the specific brain structures generating the recorded activity are ambiguous. This problem is ill-posed and cannot be solved without auxiliary physiological knowledge about the spatio-temporal characteristics of the generators’ activity. The widely-used model to describe the evoked potentials’ sources is a set of current dipoles. It does not include a temporal model of source activity and does not propose a solution of the number of sources that are active simultaneously nor how to differentiate their contributions.

AB - Scalp recording of electrical events allows evaluation of human cerebral function, but contributions of the specific brain structures generating the recorded activity are ambiguous. This problem is ill-posed and cannot be solved without auxiliary physiological knowledge about the spatio-temporal characteristics of the generators’ activity. The widely-used model to describe the evoked potentials’ sources is a set of current dipoles. It does not include a temporal model of source activity and does not propose a solution of the number of sources that are active simultaneously nor how to differentiate their contributions.

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DO - 10.1007/978-1-4757-9098-6_8

M3 - Chapter

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SP - 103

EP - 122

BT - Advances in processing and pattern analysis of biological signals

A2 - Gath, Isak

A2 - Inbar, Gideon F.

PB - Springer New York

ER -

Spatio-temporal source estimation of evoked potentials by wavelet-type decomposition

Abstract

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