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The application of ECG cancellation in diaphragmatic electromyographic by using stationary wavelet transform

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Abstract

In this paper, we present and investigate a special kind of stationary wavelet algorithm using “inverse” hard threshold to eliminate the electrocardiogram (ECG) interference included in diaphragmatic electromyographic (EMGdi). Differing from traditional wavelet hard threshold, “inverse” hard threshold is used to shrink strong coefficients of ECG interference and reserve weak coefficients of EMGdi signal. Meanwhile, a novel QRS location algorithm is proposed for the position detection of R wave by using low frequency coefficients in this paper. With the proposed method, raw EMGdi is decomposed by wavelet at fifth scale. Then, each ECG interference threshold is calculated by mean square, which is estimated by wavelet coefficients in the ECG cycle at each level. Finally, ECG interference wavelet coefficients are removed by “inverse” hard threshold, and then the de-noised signal is reconstructed by wavelet coefficients. The simulation and clinical EMGdi de-noising results show that the “inverse” hard threshold investigated in this paper removes the ECG interference in EMGdi availably and reserves its signal characteristics effectively, as compared to wavelet threshold.

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Authors and Affiliations

  1. Nanfang College of Sun Yat-sen University, Guangzhou, China

    Guo Luo & Zhi Yang

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  1. Guo Luo
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  2. Zhi Yang
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Correspondence to Guo Luo.

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The authors declare that they have no conflict of interests in relation to the work in this article.

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Approval was obtained from the Guangzhou Institute of Respiratory Disease for experiments involving human subjects.

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Luo, G., Yang, Z. The application of ECG cancellation in diaphragmatic electromyographic by using stationary wavelet transform. Biomed. Eng. Lett. 8, 259–266 (2018). https://doi.org/10.1007/s13534-018-0064-5

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  • DOI: https://doi.org/10.1007/s13534-018-0064-5

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