Heat equation-based ECG signal denoising in the presence of white, colored, and muscle artifact noises

dc.contributor.author	Upadhyay P.; Upadhyay S.K.; Shukla K.K.
dc.date.accessioned	2025-05-24T09:39:40Z
dc.description.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. © Springer Nature Singapore Pte Ltd. 2019.
dc.identifier.doi	https://doi.org/10.1007/978-981-13-1951-8_32
dc.identifier.uri	http://172.23.0.11:4000/handle/123456789/18363
dc.relation.ispartofseries	Advances in Intelligent Systems and Computing
dc.title	Heat equation-based ECG signal denoising in the presence of white, colored, and muscle artifact noises

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