Abstract
In this paper, we have derived a novel solution of heat equation which comes out in the form of wavelet transformation and we have applied this solution to the signals of the MIT-BIH normal sinus rhythm database from PhysioBank in the presence of white Gaussian noise, colored noises, and muscle artifact (MA) noise respectively. It was found that the proposed method outperforms the recently reported method by Hamed Danandeh Hesar et al. in their specified SNR range of noises.
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Upadhyay, P., Upadhyay, S.K., Shukla, K.K. (2019). Heat Equation-Based ECG Signal Denoising in The Presence of White, Colored, and Muscle Artifact Noises. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-13-1951-8_32
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DOI: https://doi.org/10.1007/978-981-13-1951-8_32
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