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Auto-detection of R wave in ECG (electrocardiography) for patch-type ECG remote monitoring system

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Abstract

Purpose

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.

Methods

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.

Results

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.

Conclusions

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.

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Authors and Affiliations

  1. Biomedical Information Technology Center, Keimyung University, 194 Dongsan dong, Jung-Gu, Daegu, 700-712, Korea

    Min Soo Kim & Suk-Tae Seo

  2. Department of Information and Communication, Kyungwoon University, Gumi, Korea

    Young Chang Cho

  3. Department of Medical Informatics, School of Medicine, Keimyung University, 194 Dongsan dong, Jung-Gu, Daegu, 700-712, Korea

    Chang-Sik Son

  4. Department of Internal Medicine, School of Medicine, Keimyung University, 194 Dongsan dong, Jung-Gu, Daegu, 700-712, Korea

    Yoon-Nyun Kim

Authors
  1. Min Soo Kim
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  2. Young Chang Cho
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  3. Suk-Tae Seo
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  4. Chang-Sik Son
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  5. Yoon-Nyun Kim
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Correspondence to Yoon-Nyun Kim.

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Kim, M.S., Cho, Y.C., Seo, ST. et al. Auto-detection of R wave in ECG (electrocardiography) for patch-type ECG remote monitoring system. Biomed. Eng. Lett. 1, 180–187 (2011). https://doi.org/10.1007/s13534-011-0029-4

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  • DOI: https://doi.org/10.1007/s13534-011-0029-4

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