QVAT: QRS Complex Detection based on Variance Analysis and Adaptive Threshold for Electrocardiogram Signal

• Main Authors: Arief Kurniawan, -, Eko Mulyanto Yuniarno, -, Eko Setijadi, -, Mochamad Yusuf Alsagaff, -, I Ketut Eddy Purnama, -
• Format: Book Section PeerReviewed
• Language: English; English; English
• Published: IEEE 2022
• Subjects: R5-920 Medicine (General)
• Online Access: https://repository.unair.ac.id/126433/1/31.%20QVAT%20QRS%20Complex%20Detection%20based%20on%20Variance%20Analysis%20and%20Adaptive%20Threshold%20for%20Electrocardiogram%20Signal_ISITIA%202020%20IEEE.pdf; https://repository.unair.ac.id/126433/2/karil%2031.pdf; https://repository.unair.ac.id/126433/3/31.%20Turnitin.pdf; https://repository.unair.ac.id/126433/; https://ieeexplore.ieee.org/document/9163784/authors#authors; https://doi.org/10.1109/ISITIA49792.2020.9163784
• Institution: Universitas Airlangga

Heart disease is a disease that has a high level of danger. Somebody who has a history of heart disease must be careful in doing daily activities. Paramedics analyze Electro-cardiogram(ECG) signals to detect heart abnormalities. Some researchers propose automated methods to analyze the heart conditi...