Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{159287,
        author = {Priyanka Dhaka and Shivani Saxena},
        title = {Noise Removal of EEG Signal Using Wavelet Transform},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {831-837},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159287},
        abstract = {Electroencephalography (EEG) is a method to record an electrogram of the spontaneous electrical activity of the brain. As the electrical activity monitored by EEG   originates in neurons (brain tissue), the recordings made by the electrodes on the surface of the scalp vary in accordance with their orientation and distance to the source of the activity. Furthermore, to remove the noises(artifacts) from the EEG signal the denoising techniques must be taken in application. In this paper, the discrete wavelet transform (DWT) noise removal technique is presented for denoising of noisy EEG signal which is further used to extract significant features from synthesized signal. Numerical Simulation of Statistical parameters have been performed to validate the accuracy of proposed method},
        keywords = {Electroencephalography, Wavelet Transform, Standard Deviation, Mean Square Error, Alpha-Beta-Gamma-Theta-Delta EEG waves.},
        month = {},
        }