Algorithm for the classification of multi-modulating signals on the electrocardiogram

摘要

This article discusses the algorithm to measure electrocardiogram (ECG) and respiration simultaneously and to have the diagnostic potentiality for sleep apnoea from ECG recordings. The algorithm is composed by the combination with the three particular scale transform of aj(t), uj(t), oj(aj) and the statistical Fourier transform (SFT). Time and magnitude scale transforms of aj(t), uj(t) change the source into the periodic signal and τj = oj(aj) confines its harmonics into a few instantaneous components at τj being a common instant on two scales between t and τj. As a result, the multi-modulating source is decomposed by the SFT and is reconstructed into ECG, respiration and the other signals by inverse transform. The algorithm is expected to get the partial ventilation and the heart rate variability from scale transforms among aj(t), aj+1(t) and uj+1(t) joining with each modulation. The algorithm has a high potentiality of the clinical checkup for the diagnosis of sleep apnoea from ECG recordings.