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Review Article
Automatic Cycle Identification in Tidal Breathing Signals
Author(s): Yanwu Ding, Douglas F. Parham, Zuojun Wang and Kanghee LeeYanwu Ding, Douglas F. Parham, Zuojun Wang and Kanghee Lee
In this paper, we introduce a novel cycle identification algorithm using MATLAB programming to automatically identify cycles in tidal breathing signals. The algorithm was designed in four steps using filtering, derivation, and other signal processing techniques. To verify the accuracy of the proposed algorithm, its results were compared with those of cycles identified manually by a human coder. Simulations results showed that despite the complexity of respiratory signals, the proposed algorithm could identify cycles more accurately than the human coder. This algorithm could serve as an important first step toward timely identification and coding for more complex respiratory signals, such as those underlying speech productions... Read More»
DOI:
10.4172/2155-9538.1000113
Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report