Auto-detection of R Wave in ECG (electrocardiography) for Patch-Type ECG Remote Monitoring System
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- Kim, Yoon Nyun
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Analytic methods associated with P, QRS, and T waves in electrocardiography (ECG) are important in the diagnosis of cardiac disease. Many methods have been proposed to enhance the robustness and accuracy of automatic detection and analysis methods. Recently, remote monitoring with a mobile personal ECG using a patch-type electrode ECG remote monitoring system has been used in a variety of conditions. Therefore, a new, simple and easily implemented method for R wave detection from mobile ECG signals is needed.
The proposed method is able to detect R waves and R-R interval calculation in the ECG even when the signal includes in arrhythmia, baseline draft and abnormal signals. We evaluated the algorithm using the data acquired from patch-type electrode for validation purposes.
The results show the strong possibility of the auto-detection of R waves in QRS through a difference operation from an ECG source signal. The proposed algorithm provides good performance of a 99.8% sensitivity using patch-type electrode ECG databases. These results obtained are verified in relation to efficient R-wave detection algorithms.
The results of this study offer useful technology for experts who interpret ECG signals based on an on-line u-health service. In the future, additional algorithms can be created that can detect and discriminate the symptoms of other cardiovascular diseases as needed for the purposes of u-healthcare.
Patch-type electrode – Difference operation – R-R interval – Electrocardiogram (ECG) – Arrhythmia – U-healthcare
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