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Design of a Low-Complexity Real-Time Arrhythmia Detection System

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Abstract

This paper presents a low-complexity real-time arrhythmia detection system that includes the QRS complex and arrhythmia detection. The ECG data in the MIT-BIH arrhythmia database were used for simulations and verification. For QRS complex detection, this paper proposes the advanced So and Chan for detecting the R-peak and baseline of the QRS complex. Compared with the accuracy obtained using the original So and Chan method (94.61%), an accuracy of 99.29% was obtained using the advanced So and Chan method. For arrhythmia detection, the proposed system is implemented with an advanced sum of trough and various features of disease symptoms. It can identify tachycardia, bradycardia, premature contraction, and two types of cardiovascular diseases; its detection accuracy can reach 98.05%. If a morbid state occurs, a warning message will be sent to a user. Because of its low complexity, the proposed detection system can be integrated with wearable electronic devices for detecting an arrhythmia immediately.

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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, Hung-Lieh Chen & Chih-Hung Lin

  2. Department of Electrical Engineering, National Chi Nan University, No. 1, University Rd., Puli, Nantou, 545, Taiwan, Republic of China

    Robert Chen-Hao Chang

  3. Department of Electrical Engineering, National Formosa University, No. 64, Wunhua Rd., Huwei Township, Yunlin County, 632, Taiwan, Republic of China

    Kuang-Hao Lin

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  1. Robert Chen-Hao Chang
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Correspondence to Chih-Hung Lin.

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Chang, R.CH., Chen, HL., Lin, CH. et al. Design of a Low-Complexity Real-Time Arrhythmia Detection System. J Sign Process Syst 90, 145–156 (2018). https://doi.org/10.1007/s11265-017-1221-2

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  • DOI: https://doi.org/10.1007/s11265-017-1221-2

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