Author

Mohammad Hassan Moradi

Amirkabir University of TechnologyORCID 0000-0002-3386-4003Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electrophysiology· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Shahla Bakian Dogaheh· 1 shared

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

BioengineeringbioRxivPreprintOct 5, 2023

Automatic sleep stage classification using physiological signals acquired by Dreem headband

Shahla Bakian Dogaheh, Mohammad Hassan Moradi

This paper proposes an XGBoost model for automatic sleep stage classification using Dreem headband signals, achieving 81.34% accuracy.

DOI 10.1101/2023.10.05.561041

electrophysiologyimaging

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