Objective response detection in the frequency domain

Robert A. Dobie; Michael J. Wilson

doi:10.1016/0168-5597(93)90040-V

Objective response detection in the frequency domain

Robert A. Dobie, Michael J. Wilson

Otolaryngology, Head & Neck Surgery

Research output: Contribution to journal › Article › peer-review

84 Scopus citations

Abstract

Several different and related measures have been proposed for objective response detection in the frequency domain. We compared magnitude-squared coherence (MSC) to phase coherence (PC) using simulations with specified signal-to-noise ratios (SNRs) and varying numbers of subaverages; the performance measure was area unde a receiver operating characteristic (ROC) curve. MSC was superior to PC; test time required for equivalent performance is about 3 times greater PC than for MSC. MSC performance for a given final SNR increased with the number of subaverages, but reached a plateau at 16 subaverages. Simulations of noise non-stationarity (high-amplitude noise in some subaverages compared to the others) led to decreased performance advantage for MSC over PC. However, weighted averaging restored this advantage. MSC is shown to be a simple algebraic transform of Victor and Mast's (1991) "circular T²" statistic and of two earlier statistics; all have identical statistical power.

Original language	English (US)
Pages (from-to)	516-524
Number of pages	9
Journal	Electroencephalography and Clinical Neurophysiology/ Evoked Potentials
Volume	88
Issue number	6
DOIs	https://doi.org/10.1016/0168-5597(93)90040-V
State	Published - 1993

Keywords

Coherence
Evoked potentials
Hotelling T test
Magnitude-squared coherence
Objective response detection
Phase coherence

ASJC Scopus subject areas

Neuroscience(all)
Clinical Neurology

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title = "Objective response detection in the frequency domain",

abstract = "Several different and related measures have been proposed for objective response detection in the frequency domain. We compared magnitude-squared coherence (MSC) to phase coherence (PC) using simulations with specified signal-to-noise ratios (SNRs) and varying numbers of subaverages; the performance measure was area unde a receiver operating characteristic (ROC) curve. MSC was superior to PC; test time required for equivalent performance is about 3 times greater PC than for MSC. MSC performance for a given final SNR increased with the number of subaverages, but reached a plateau at 16 subaverages. Simulations of noise non-stationarity (high-amplitude noise in some subaverages compared to the others) led to decreased performance advantage for MSC over PC. However, weighted averaging restored this advantage. MSC is shown to be a simple algebraic transform of Victor and Mast's (1991) {"}circular T2{"} statistic and of two earlier statistics; all have identical statistical power.",

keywords = "Coherence, Evoked potentials, Hotelling T test, Magnitude-squared coherence, Objective response detection, Phase coherence",

author = "Dobie, {Robert A.} and Wilson, {Michael J.}",

note = "Funding Information: * This research was supported by a grant from NIDCD (No. NS23116).",

year = "1993",

doi = "10.1016/0168-5597(93)90040-V",

language = "English (US)",

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T1 - Objective response detection in the frequency domain

AU - Dobie, Robert A.

AU - Wilson, Michael J.

N1 - Funding Information: * This research was supported by a grant from NIDCD (No. NS23116).

PY - 1993

Y1 - 1993

N2 - Several different and related measures have been proposed for objective response detection in the frequency domain. We compared magnitude-squared coherence (MSC) to phase coherence (PC) using simulations with specified signal-to-noise ratios (SNRs) and varying numbers of subaverages; the performance measure was area unde a receiver operating characteristic (ROC) curve. MSC was superior to PC; test time required for equivalent performance is about 3 times greater PC than for MSC. MSC performance for a given final SNR increased with the number of subaverages, but reached a plateau at 16 subaverages. Simulations of noise non-stationarity (high-amplitude noise in some subaverages compared to the others) led to decreased performance advantage for MSC over PC. However, weighted averaging restored this advantage. MSC is shown to be a simple algebraic transform of Victor and Mast's (1991) "circular T2" statistic and of two earlier statistics; all have identical statistical power.

AB - Several different and related measures have been proposed for objective response detection in the frequency domain. We compared magnitude-squared coherence (MSC) to phase coherence (PC) using simulations with specified signal-to-noise ratios (SNRs) and varying numbers of subaverages; the performance measure was area unde a receiver operating characteristic (ROC) curve. MSC was superior to PC; test time required for equivalent performance is about 3 times greater PC than for MSC. MSC performance for a given final SNR increased with the number of subaverages, but reached a plateau at 16 subaverages. Simulations of noise non-stationarity (high-amplitude noise in some subaverages compared to the others) led to decreased performance advantage for MSC over PC. However, weighted averaging restored this advantage. MSC is shown to be a simple algebraic transform of Victor and Mast's (1991) "circular T2" statistic and of two earlier statistics; all have identical statistical power.

KW - Coherence

KW - Evoked potentials

KW - Hotelling T test

KW - Magnitude-squared coherence

KW - Objective response detection

KW - Phase coherence

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JO - Electroencephalography and Clinical Neurophysiology - Evoked Potentials

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