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High-Precision Real-Time Premature Ventricular Contraction (PVC) Detection System Based on Wavelet Transform

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Abstract

This study presents a high-precision real-time detection system to detect arrhythmia of premature ventricular contraction (PVC). This system detects the peak of the R-wave based on wavelet transform (WT) and then uses a new algorithm to detect PVC. The proposed PVC detection algorithm combines the sum of trough and sum of R_peak with minimum to detect PVC. A crucial function of morbid warning is implemented in this system so that users receive an alert signal when PVC is detected. The proposed system is simulated and verified using the MIT-BIH Arrhythmia Database (mitdb). The system is also implemented by FPGA to illustrate its high precision and real-time performance.

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Acknowledgments

This work was supported in part by the National Science Council (NSC), Taiwan, R.O.C. under Grant NSC 102-2220-E-005-001 and in part by the Ministry of Education, Taiwan, under the Aim for the Top University Plan. The authors would like to thank the National Chip Implementation Center of Taiwan for the technical support.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Chung Hsing University, No. 250, Kuo Kuang Rd., Taichung City 402, Taiwan, Republic of China

    Robert Chen-Hao Chang, Chih-Hung Lin, Ming-Fan Wei & Shiue-Ru Chen

  2. Department of Electronic Engineering, National Chin-Yi University of Technology, No. 57, Sec. 2, Zhongshan Rd., Taiping Dist., Taichung 411, Taiwan, Republic of China

    Kuang-Hao Lin

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  1. Robert Chen-Hao Chang
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  2. Chih-Hung Lin
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  3. Ming-Fan Wei
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  4. Kuang-Hao Lin
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Correspondence to Robert Chen-Hao Chang.

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Chang, R.CH., Lin, CH., Wei, MF. et al. High-Precision Real-Time Premature Ventricular Contraction (PVC) Detection System Based on Wavelet Transform. J Sign Process Syst 77, 289–296 (2014). https://doi.org/10.1007/s11265-013-0823-6

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  • DOI: https://doi.org/10.1007/s11265-013-0823-6

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