This paper reports the application of fuzzy logic to signal interpretation in the biomedical environment of artificial ventilation. The problem analyzed is cough detection in pressure data measured while mechanically ventilating a human subject. Data from volunteers breathing through a mouthpiece was analyzed. The results suggest that the proposed approach is in fact able to distinguish between data with and without coughing. This discrimination is important for consistent monitoring of patient characteristics in the clinical environment.
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