Title :
Permutation-Based Significance Tests for Multiharmonic Steady-State Evoked Potentials
Author :
Heinrich, Sven P.
Author_Institution :
Dept. of Ophthalmology, Univ. of Freiburg, Freiburg
Abstract :
Sensitivity and specificity of permutation tests for the detection of multiharmonic responses in steady-state evoked potentials were assessed using simulated responses embedded in real and artificial EEG noise. Different statistics may serve as input for the permutation algorithm. Among those tested, the sum of magnitudes of harmonics performed best.
Keywords :
Gaussian noise; bioelectric potentials; electroencephalography; harmonic analysis; statistical analysis; EEG noise; multiharmonic steady-state evoked potentials; permutation; significance tests; Brain modeling; Distributed computing; Electroencephalography; Frequency domain analysis; Harmonic analysis; Power harmonic filters; Statistical analysis; Statistical distributions; Steady-state; Testing; Time domain analysis; Evoked potential; harmonic analysis; objective response detection; permutation test; significance; steady-state response; Acoustics; Computer Simulation; Electroencephalography; Evoked Potentials; Humans; Models, Neurological; Monte Carlo Method; Sensitivity and Specificity;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2008.2006021
