Today, for treatment of any disease, the patient needs to undergo many tests. The extraction of biomedical signal is done initially, and then, depending on the report, the diagnosis or treatment can be preferred. There are many biomedical signals which we extract for accurate analysis and treatment. The biomedical signal that deals with heart diseases is ECG signal. This review paper focuses on the ECG signal analysis. While recording the ECG signal, there may be many types of noise present. Even the heat generated in the electronic device also cause noise. So, this noise must be eliminated in order to extract the exact ECG signal so that correct treatment can be done. For this purpose, filtering techniques can be used. Depending on the noise that has been present in the ECG signal, the filter has to be chosen accordingly. This paper reviews databases, features, filtering techniques, signal processing methods, and results obtained in different studies of ECG signal analysis.
CITATION STYLE
Naga Sandhya Devi, G., & Mittal, V. K. (2023). Enhancing ECG Signal in Noisy Environment: A Review. In Lecture Notes in Computational Vision and Biomechanics (Vol. 37, pp. 427–437). Springer Science and Business Media B.V. https://doi.org/10.1007/978-981-19-0151-5_36
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