PATIENT-VENTILATOR ASYNCHRONY DETECTION MODEL AND APPARATUS BASED ON FUZZY ENTROPY FEATURE EXTRACTION

A patient-ventilator asynchrony detection model and apparatus based on fuzzy entropy feature extraction, which model and apparatus relate to the field of medical detection. For collected respiratory waveforms generated by various patient-ventilator asynchrony phenomena, fuzzy entropy feature extraction is performed, on the basis of a fuzzy entropy feature extraction method, on the respiratory waveforms which are from a plurality of channels; fuzzy entropy feature calculation is performed according to certain parameters, respectively; and fuzzy entropy features in three dimensions are then flattened into a single dimension to form a feature sample of one respiratory cycle, and the waveforms in all respiratory cycles are subjected to feature extraction and calculation repeatedly, such that a model, which can classify various patient-ventilator asynchrony phenomena at the same time, is finally obtained. L'invention concerne un modèle et un appareil de détection d'asynchronie patient-ventilateur basés sur une ext