PATIENT-VENTILATOR ASYNCHRONY CLASSIFICATION METHOD AND SYSTEM, TERMINAL AND STORAGE MEDIUM
A patient-ventilator asynchrony classification method and system, a terminal and a storage medium. The method comprises: collecting respiration data of multiple channels, such as a simulated flow channel, a tidal volume channel, paw, alveolar pressure, intrapleural pressure, cardiac pressure and a b...
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| creator | XIONG, Fuhai WANG, Lei QIAO, Xiaohao LI, Huihui YAN, Yan WANG, Bo |
| description | A patient-ventilator asynchrony classification method and system, a terminal and a storage medium. The method comprises: collecting respiration data of multiple channels, such as a simulated flow channel, a tidal volume channel, paw, alveolar pressure, intrapleural pressure, cardiac pressure and a bellows position channel, under patient-ventilator asynchrony events that are simulated by a TestChest and a ventilator; performing permutation disalignment index (PDI) feature extraction on the respiration data, and labeling the respiration data according to extracted PDI features; inputting the labeled respiration data into a network model for training, so as to obtain a trained patient-ventilator asynchrony classification model; and classifying the patient-ventilator asynchrony events by means of the trained patient-ventilator asynchrony classification model. Respiration data collected by means of the present method has been subjected to little interference and is convenient to collect; and the difference between |
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The method comprises: collecting respiration data of multiple channels, such as a simulated flow channel, a tidal volume channel, paw, alveolar pressure, intrapleural pressure, cardiac pressure and a bellows position channel, under patient-ventilator asynchrony events that are simulated by a TestChest and a ventilator; performing permutation disalignment index (PDI) feature extraction on the respiration data, and labeling the respiration data according to extracted PDI features; inputting the labeled respiration data into a network model for training, so as to obtain a trained patient-ventilator asynchrony classification model; and classifying the patient-ventilator asynchrony events by means of the trained patient-ventilator asynchrony classification model. 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The method comprises: collecting respiration data of multiple channels, such as a simulated flow channel, a tidal volume channel, paw, alveolar pressure, intrapleural pressure, cardiac pressure and a bellows position channel, under patient-ventilator asynchrony events that are simulated by a TestChest and a ventilator; performing permutation disalignment index (PDI) feature extraction on the respiration data, and labeling the respiration data according to extracted PDI features; inputting the labeled respiration data into a network model for training, so as to obtain a trained patient-ventilator asynchrony classification model; and classifying the patient-ventilator asynchrony events by means of the trained patient-ventilator asynchrony classification model. Respiration data collected by means of the present method has been subjected to little interference and is convenient to collect; and the difference between</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | PATIENT-VENTILATOR ASYNCHRONY CLASSIFICATION METHOD AND SYSTEM, TERMINAL AND STORAGE MEDIUM |
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