Cycle Identification and Artifact Detection in Tidal Breathing Signals

In this paper, we introduce a novel cycle identification algorithm based on the Matlab programming to automatically identify cycles in tidal breathing signals. The algorithm is designed in three steps using filtering, derivatives, and other signal processing techniques. To verify the effectiveness of the proposed algorithm, its result are compared with those of cycles identified manually by an expert human coder. Simulations results have shown that, despite the complexity in the respiratory signals, the proposed algorithm can identify cycles correctly and efficiently.