The comodulation measure of neuronal oscillations with general harmonic wavelet bicoherence and application to sleep analysis

Fault diagnosis of rolling element bearing using nonlinear wavelet bicoherence features

“…The other diagnostic feature is the maximal eigenvalue [20,21] of the BRWB (MEBRWB feature). Since that the bicoherence is a symmetrical matrix to the main diagonal, denoted as …”

Matching Pursuit-Based Time-Variant Bispectral Analysis and its Application to Biomedical Signals

“…For example, bispectral analysis has been used for the investigation of EEG patterns following hypoxic-asphyxic arrest [39], for the identification of epileptic and focal ischemic cerebral EEG [40,41] as well as to detect sleep [42], anesthesia [43] and sedation states [5]. Our proof-of-principle application in the field of EEG analysis is related to QPC changes in neonatal EEG patterns derived from the quiet sleep state.…”

Detecting Interactions between the Renal Autoregulation Mechanisms in Time and Space

“…It has been shown that the bicoherence alone is not an appropriate indicator of QPC if the phases are not randomized across segments, as QFC without phase coupling will provide high bicoherence levels given constant phase relationships [13,23]. Fackrell and McLaughlin showed that combination of the bicoherence and biphase statistical tests can discriminate cases of QPC [24].…”

“…Usually at least 8 segments of equal data length are required to make a designation of QPC, so that relatively long data lengths are necessary. For this reason, time-varying bispectral detectors have been developed [14] and investigated, including those based on wavelet analysis [13].…”

“…Timevarying detectors have been proposed that provide short-time QPC detection [11][12][13][14]. Laser speckle imaging can monitor perfusion across the renal cortex simultaneously to acquire signals related to the dynamics of local flow changes [15][16][17].…”