Original title: Automatic Stress Detection Using Non-Eeg Biological Signal
Authors: Malina, Ondřej
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This work deals with the issue of stress detection using non-EEG biosignals. The main goal of this work is to create a functional program in MATLAB programming language that would allow detection and classification of stress, from easily readable data acquired on commercially available devices. So that esults obtained by this algorithm can be used for predicting and preventing stress during daily routine activities.
Keywords: c-means; MATLAB; non-EEG biosignals; PhysioNet; stress classification
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186612

Permalink: http://www.nusl.cz/ntk/nusl-414514


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers
 Record created 2020-07-11, last modified 2021-08-22


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