Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Removal of Artifacts from Electroenchaphalography Signal using Multiwavelet Transform Subject The topic of the resource Artifacts; Electroenchaphalography; GHM and thresholding; signal to noise ratio and power spectral density Description An account of the resource The signal from the brain can be recorded using Electroenchaphalography (EEG). The proposed work summarizes a unique method which is used for the removal of mixed artifacts presented in the electroencephalography signal during the acquisition process. Artifacts comprises of various bio-potential unit such as electrooculogram, electrocardiogram, and electromyogram. These artifacts are referred as a noise sources which is responsible for the complexity of the EEG signal. The artifacts obtained from the EEG signal leads towards improper diagnosis of pathological conditions. The EEG signal which is obtained from the brain is the multi-dimensional signal with the various statistical properties. Time consumption of the EEG signal is not reproducible due to the biological properties of the signal. The information of the EEG signal consists of the data of the neuron levels which is collected for every millisecond with the temporal resolution scale. In account of special cases, EEG signal contains noise and artifacts where information is collected using the extraction of signals. To obtain the information of the artifacts the proposed technique is used to maintain higher accuracy in the extraction process. The proposed technique consists of multiwavelet transform to remove the artifacts from the input EEG signal. In the proposed multiwavelet transform, the signal which consists of noisy features can be decomposed using GHM and thresholding technique. This experimental analysis shows the removal of artifacts from the EEG signals. The pathological conditions are removed which leads to the increase in the accuracy of the system. Also, this research findings shows that the proposed multiwavelet transform based approach outperforms significantly with respect to conventional approaches. The reconstructed EEG signal has the lesser reliability range which is measured in-terms of signal to noise ratio and power spectral density. Published under licence by IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Paulchamy B.; Chidambaram S.; Basheer J.M. Source A related resource from which the described resource is derived Journal of Physics: Conference Series, Vol-1921, No. 1 Publisher An entity responsible for making the resource available IOP Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1742-6596/1921/1/012008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1742-6596/1921/1/012008</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107933339&amp;doi=10.1088%2F1742-6596%2F1921%2F1%2F012008&amp;partnerID=40&amp;md5=e22b1e0f16336b877b9bd68701f3770e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107933339&amp;doi=10.1088%2f1742-6596%2f1921%2f1%2f012008&amp;partnerID=40&amp;md5=e22b1e0f16336b877b9bd68701f3770e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17426588 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Paulchamy B., Department of ECE, Hindusthan Institute of Technology, India; Chidambaram S., Department of ECE, Christ University, Banglore, India; Basheer J.M., College of CSE, KING Khalid University, Saudi Arabia