Objective response detection in the frequency domain.

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 under a receiver operating characteristic (ROC) curve. MSC was superior to PC; test time required for equivalent performance is about 3 times greater for 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.

[1]  D. E. Amos,et al.  TABLES OF THE DISTRIBUTION OF THE COEFFICIENT OF COHERENCE FOR STATIONARY BIVARIATE GAUSSIAN PROCESSES , 1963 .

[2]  Human short-latency auditory responses obtained by cross-correlation. , 1987, Electroencephalography and clinical neurophysiology.

[3]  C Elberling,et al.  Quality estimation of averaged auditory brainstem responses. , 1984, Scandinavian audiology.

[4]  K. Mardia Statistics of Directional Data , 1972 .

[5]  D. Tucci,et al.  Coherence analysis of scalp responses to amplitude-modulated tones. , 1990, Acta oto-laryngologica.

[6]  R. Dobie,et al.  Electrophysiologic Assessment of Low-Frequency Hearing: Sedation Effects , 1989, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[7]  R. Bickford,et al.  Brain stem auditory evoked potentials: the use of noise estimate. , 1980, Electroencephalography and clinical neurophysiology.

[8]  M Hoke,et al.  Weighted averaging--theory and application to electric response audiometry. , 1984, Electroencephalography and clinical neurophysiology.

[9]  M A Bobes,et al.  Comparison of auditory-evoked potential detection methods using signal detection theory. , 1987, Audiology : official organ of the International Society of Audiology.

[10]  Barrie W. Jervis,et al.  A Fundamental Investigation of the Composition of Auditory Evoked Potentials , 1983, IEEE Transactions on Biomedical Engineering.

[11]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[12]  L Malis,et al.  Application of phase spectral analysis for brain stem auditory evoked potential detection in normal subjects and patients with posterior fossa tumors. , 1984, Audiology : official organ of the International Society of Audiology.

[13]  S Makeig,et al.  Auditory steady-state responses: threshold prediction using phase coherence. , 1987, Electroencephalography and clinical neurophysiology.

[14]  R A Dobie,et al.  Analysis of auditory evoked potentials by magnitude-squared coherence. , 1989, Ear and hearing.

[15]  T W Picton,et al.  Reliability estimates for steady-state evoked potentials. , 1987, Electroencephalography and clinical neurophysiology.

[16]  J. Victor,et al.  A new statistic for steady-state evoked potentials. , 1991, Electroencephalography and clinical neurophysiology.

[17]  R. Dobie,et al.  Optimal smoothing of coherence estimates. , 1991, Electroencephalography and clinical neurophysiology.

[18]  B M Sayers,et al.  Fully objective ERA by phase spectral analysis. , 1979, Acta oto-laryngologica.

[19]  C Elberling,et al.  Estimation of auditory brainstem response, ABR, by means of Bayesian inference. , 1985, Scandinavian audiology.

[20]  E R John,et al.  Application of digital filtering and automatic peak detection to brain stem auditory evoked potential. , 1982, Electroencephalography and clinical neurophysiology.

[21]  Craig A Champlin,et al.  Methods for detecting auditory steady-state potentials recorded from humans , 1992, Hearing Research.