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Method for ECG classification based on the neural network / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation ; (6): 183-214, 2008.
Article in Chinese | WPRIM | ID: wpr-309618
ABSTRACT
The article adopts the BP neural network and probability neural network in classifying four arrhythmias (LBBB, RBBB, Paced Beat, Ventricular Escape Beat) and one normal beat, and their test results of the automatic classification and imitation study are 97.62% and 95.88%, showing an improved efficient classification.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Arrhythmias, Cardiac / Classification / Neural Networks, Computer / Electrocardiography / Methods Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2008 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Arrhythmias, Cardiac / Classification / Neural Networks, Computer / Electrocardiography / Methods Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2008 Type: Article