Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13835
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dc.contributor.authorPachori, Ram Bilasen_US
dc.date.accessioned2024-07-05T12:49:20Z-
dc.date.available2024-07-05T12:49:20Z-
dc.date.issued2024-
dc.identifier.citationDash, S., Tripathy, R. K., Mishra, S., & Pachori, R. B. (2024). Detection of stress levels during the stroop color-word test using multivariate projection-based MUSIC domain EWT of multichannel EEG signal and machine learning. In Artificial Intelligence Enabled Signal Processing Based Models for Neural Information Processing. CRC Pressen_US
dc.identifier.citationScopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191921594&doi=10.1201%2f9781003479970-12&partnerID=40&md5=0b62d912bda3f34212689cdd7e4972dfen_US
dc.identifier.isbn9781003479970-
dc.identifier.isbn9781032529301-
dc.identifier.otherEID(2-s2.0-85191921594)-
dc.identifier.urihttps://doi.org/10.1201/9781003479970-12-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/13835-
dc.description.abstract[No abstract available]en_US
dc.language.isoenen_US
dc.publisherCRC Pressen_US
dc.sourceArtificial Intelligence Enabled Signal Processing Based Models for Neural Information Processingen_US
dc.titleDetection of stress levels during the stroop color-word test using multivariate projection-based MUSIC domain EWT of multichannel EEG signal and machine learningen_US
dc.typeBook Chapteren_US
Appears in Collections:Department of Electrical Engineering

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