Abstract
Electrocardiogram (ECG) is the common clinical observation to detect heart abnormalities. ECG signal is often contaminated with noises during recording which leads to faulty interpretation of heart condition. Digital filters are efficient enough to clean such noisy recorded ECG signal. In this paper, we have designed and simulated three digital IIR elliptic filters in MATLAB environment to de-noise ECG signal. We compared our result with the existing works for ECG signal conditioning in terms of the SSNR and found our designed filter model performed 21% better than others.
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Acknowledgements
The authors would like to thank UGC UPE, II ‘Modern Biology Group B: Signal Processing Group,’ University of Calcutta, for providing research facility and technical support.
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Saha, S., Barman (Mandal), S. (2022). Noise Suppressing Cascaded IIR Elliptic Filter Design for ECG Signals. In: Sikdar, B., Prasad Maity, S., Samanta, J., Roy, A. (eds) Proceedings of the 3rd International Conference on Communication, Devices and Computing. ICCDC 2021. Lecture Notes in Electrical Engineering, vol 851. Springer, Singapore. https://doi.org/10.1007/978-981-16-9154-6_1
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DOI: https://doi.org/10.1007/978-981-16-9154-6_1
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