The invention provides a cardio-
pulmonary resuscitation system based on
artificial intelligence and an application method, and the
system comprises a
sudden cardiac arrest early warning EMS
system which collects physiological information, carries out the
feature extraction and classification reasoning, diagnoses whether the heart is suddenly stopped or not according to the physiological information, and if yes, automatically dials 120 and sends the position to a medical system; the automatic
defibrillation system is used for collecting electrocardiogram information of a patient,
processing electrocardiogram data of
ventricular fibrillation waveforms, constructing an electrocardiogram
ventricular fibrillation recognition model, and sending out a voice prompt and defibrillating after the
ventricular fibrillation is diagnosed; the automatic external chest
compression system is used for starting automatic external chest compression after cardiac arrest of the patient is determined, identifying carotid
artery pulse and continuously
monitoring blood pressure, and adjusting amplitude and frequency of external chest compression in a self-feedback manner according to identification of carotid
artery fluctuation and pressure. The invention provides an external chest
compression system capable of accurately evaluating cardiac arrest, quickly starting an EMS system, accurately identifying ventricular
fibrillation rhythm, starting an automatic
defibrillation system and having a self-feedback function.