Development of a method for identifying the functional state of a person when solving cognitive tasks according to the data of the brain microwave radiation › Research Explorer

Development of a method for identifying the functional state of a person when solving cognitive tasks according to the data of the brain microwave radiation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

DOI

https://doi.org/10.5220/0010380502330238
Final published version

Original language	English
Title of host publication	BIODEVICES 2021 - 14th International Conference on Biomedical Electronics and Devices; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
Editors	Claudine Gehin, Bruno Wacogne, Ana Fred, Hugo Gamboa
Publisher	SciTePress
Pages	233-238
Number of pages	6
ISBN (Electronic)	9789897584909
DOIs	https://doi.org/10.5220/0010380502330238
Publication status	Published - 2021
Event	14th International Conference on Biomedical Electronics and Devices, BIODEVICES 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 - Virtual, Online Duration: 11 Feb 2021 → 13 Feb 2021

Publication series

Name	BIODEVICES 2021 - 14th International Conference on Biomedical Electronics and Devices; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021

Conference

Conference	14th International Conference on Biomedical Electronics and Devices, BIODEVICES 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
City	Virtual, Online
Period	11/02/2021 → 13/02/2021

WoS ResearchAreas Categories

Engineering, Biomedical

ASJC Scopus subject areas

Electrical and Electronic Engineering
Biomedical Engineering

Research areas

Cognitive load, Machine learning, Microwave radiation, Radio brightness temperature, Radio Brightness Temperature, Microwave Radiation, Cognitive Load, Machine Learning

ID: 21178829