ARTIFICIAL INTELLIGENCE SELF-LEARNING-BASED AUTOMATIC ELECTROCARDIOGRAPHY ANALYSIS METHOD AND APPARATUS

ARTIFICIAL INTELLIGENCE SELF-LEARNING-BASED AUTOMATIC ELECTROCARDIOGRAPHY ANALYSIS METHOD AND APPARATUS

An artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat feature detection, interference signal detection and heartbeat classification based on deep learning, signal quality evaluation and lead com...

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Bibliographische Detailangaben
Hauptverfasser: Hu, Chuanyan, Jiang, Yan, Liu, Chang, Cao, Jun, Liu, Tao, Zang, Kaifeng
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Beschreibung
Zusammenfassung:An artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat feature detection, interference signal detection and heartbeat classification based on deep learning, signal quality evaluation and lead combination, heartbeat verification, analysis and calculation of electrocardiography events and parameters, and finally automatic output of reporting data, realizing an automated analysis method having a complete and rapid flow. The automatic electrocardiography analysis method may also record modification information of an automatic analysis result, collect modified data, and feed same back to the depth learning model to continue training, thereby continuously making improvements and improving the accuracy of the automatic analysis method.