QVAT: QRS Complex Detection based on Variance Analysis and Adaptive Threshold for Electrocardiogram Signal
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...
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Main Authors: | Arief Kurniawan, -, Eko Mulyanto Yuniarno, -, Eko Setijadi, -, Mochamad Yusuf Alsagaff, -, I Ketut Eddy Purnama, - |
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Format: | Book Section PeerReviewed |
Language: | English English English |
Published: |
IEEE
2022
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Subjects: | |
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 |
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Institution: | Universitas Airlangga |
Language: | English English English |
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