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Wavelet bicoherence (WB) provides insight into nonlinear interactions and can provide information about interacting oscillations in the cardiovascular system, especially in the very high frequency (VHF) band. We suggest a new normalization for the WB estimator which enables a combined threshold criteria reducing false positive error from 5% to below 1%. Alternatively, we suggest a modified wavelet...
Wavelet transform coherence (WTC) can provide insight into the transient linear order of the regulatory mechanisms, via the computation of time-frequency maps of the time-variant coherence. This paper presents a framework for applying WTC for quantitative analysis of coherence in cardiovascular variability research. Computer simulations were performed to estimate the accuracy of the WTC estimates...
Wavelet transform coherence (WTC) is a method originally introduced to discover transient linear correlations in random processes. We adjusted and modified the WTC to establish it as a tool for the evaluation of the autonomic nervous system (ANS) activity by applying a bivariate analysis of the cardiorespiratory signals. The WTC provides insight into the transient linear order of the system through...
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