The invention provides a fatal
ventricular tachycardia detection
system based on independent weight updating, and relates to the technical field of fatal
arrhythmia detection.The fatal
ventricular tachycardia detection
system comprises a
data acquisition module used for acquiring original heart sound data and preprocessing the original heart sound data to obtain
signal fragments; the model reasoning module is used for inputting the
signal frequency band into a multi-outlet neural network reasoning model, calculating the confidence coefficient of a prediction result of a current network outlet, judging whether the current network outlet is a final outlet or not according to the confidence coefficient, and if not, continuing to go to the next network outlet to obtain a prediction result with higher precision; wherein multiple
layers of backbone networks are arranged in the multi-outlet neural network
inference model, each layer of
backbone network corresponds to one network outlet, the weight of each layer of
backbone network is optimized and finely adjusted through an independent weight updating
algorithm, and efficient personalized
tachycardia detection of the multi-outlet neural network
inference model is achieved. According to the
system disclosed by the invention, the detection accuracy of the fatal
ventricular tachycardia is improved.