Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression R...
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Depression recognition based on physiological signals such as functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) has made considerable progress. However, most existing studies ignore the complementarity and semantic consistency of multimodal physiological signals under the same stimulation task in complex spatio-temporal p...
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Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
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TN_cdi_proquest_journals_3072927738
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3072927738
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E-ISSN
2331-8422
