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APPARATUSES AND METHODS FOR CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS DURING CARDIOPULMONARY RESUSCITATION
APPARATUSES AND METHODS FOR CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS DURING CARDIOPULMONARY RESUSCITATION
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机译:在心肺复苏过程中对心电图信号进行分类的装置和方法
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摘要
Examples of systems, apparatuses, and methods for classification of electrocardiogram signals during cardiopulmonary resuscitation are described. An example system may include a defibrillator comprising an electrocardiogram analyzer. The electrocardiogram analyzer may be configured to apply a prediction modeling technique to an electrocardiogram signal to generate a predicted signal. The electrocardiogram signal may be captured from a patient undergoing cardiopulmonary resuscitation. The electrocardiogram analyzer may be further configured to subtract the predicted signal from the electrocardiogram signal to generate an error signal and to classify a rhythm of the electrocardiogram signal as one of a shockable rhythm or non-shockable based on the error signal. Decision parameters derived from the signals may be used in conjunction with a machine learning technique to classify the electrocardiogram signal.
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