Key result
Continuous wavelet transform successfully detects 1:1 synchronization between slow BP regulation and respiration in healthy subjects.
A novel continuous wavelet transform method can distinguish true from spurious synchronization in self-sustained oscillators, with potential applications in analyzing heart rate variability and respiration.
Enables distinction of true cardiorespiratory synchronization in research; leaves open clinical utility pending validation in patients.
We propose a method for detecting the presence of a synchronization of a self-sustained oscillator by external driving with linearly varying frequency. The method is based on a continuous wavelet transform of the signals of the self-sustained oscillator and external force and allows one to distinguish the case of true synchronization from the case of spurious synchronization caused by linear mixing of the signals. We apply the method to a driven van der Pol oscillator and to experimental data of human heart rate variability and respiration.
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Hramov et al. (2006) studied Healthy (n=8). Paced respiration with linearly increasing frequency was evaluated on Synchronization between respiration and the process of blood pressure slow regulation. A continuous wavelet transform method successfully detected 1:1 synchronization between blood pressure slow regulation and respiration at breathing frequencies close to 0.1 Hz in healthy subjects.
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