Automated Classification Model With OTSU and CNN Method for Premature Ventricular Contraction Detection

• Main Authors: Wang, Liang-Hung, Ding, Lin-Juan, Xie, Chao-Xin, Jiang, Su-Ya, Kuo, I-Chun, Wang, Xin-Kang, Gao, Jie, Huang, Pao-Cheng, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: electrocardiogram (ECG); convolutional neural network; premature ventricular contraction; OTSU; ECG classification; electrocardiography; classification algorithms; training; databases; heart rate variability; feature extraction; convolutional neural networks; Cardiology; Computer Sciences; Diagnosis
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/231; https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1233&context=discs-faculty-pubs
• Institution: Ateneo De Manila University

Premature ventricular contraction (PVC) is one of the most common arrhythmias which can cause palpitation, cardiac arrest, and other symptoms affecting the work and rest activities of a patient. However, patients hardly decipher their own feelings to determine the severity of the disease thus, requi...