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 A Review of Algorithms for Mental Stress Analysis Using EEG Signal Subject The topic of the resource Brain signal; EEG; Stress classification Description An account of the resource Mental stress is an enduring problem in human life. The level of stress increases exponentially with an increase in the complexity of work life. Hence, it is imperative to understand the causes of stress, a prerequisite of which is the ability to determine the level of stress. Electroencephalography (EEG) has been the most widely used signal for understanding stress levels. However, EEG signal is useful only when appropriate algorithms can be used to extract the properties relevant to stress analysis. This paper reviews algorithms for preprocessing, feature extraction and learning, and classification of EEG, and reports on their advantages and disadvantages for stress analysis. This review will help researchers to choose the most effective pipeline of algorithms for stress analysis using EEG signals. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Maria S.; Chandra J.; Banerjee B.; Rangaswamy M. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-251, pp. 561-568. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-3945-6_55" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-3945-6_55</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123286232&amp;doi=10.1007%2F978-981-16-3945-6_55&amp;partnerID=40&amp;md5=6664c4ae4f849687a3f388bdd04956b3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123286232&amp;doi=10.1007%2f978-981-16-3945-6_55&amp;partnerID=40&amp;md5=6664c4ae4f849687a3f388bdd04956b3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981163944-9 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 Maria S., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Banerjee B., Institute for Intelligent Systems, and Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bangalore, India