scholarly journals Intelligent Biosignal Analysis Methods

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4743
Author(s):  
Alan Jovic

This Editorial presents the accepted manuscripts for the special issue “Intelligent Biosignal Analysis Methods” of the Sensors MDPI journal [...]

2016 ◽  
Vol 24 (2) ◽  
pp. 12-15 ◽  
Author(s):  
Donald R. Baer

Abstract: Introduction to the special issue on surface analysis, providing thumbnail sketches of several popular techniques. A table gives the capabilities of each technique.


2021 ◽  
Vol 5 (2) ◽  
pp. 233-244
Author(s):  
I. Ladakis ◽  
I. Chouvarda

Objectives: Stress is a normal reaction of the human organism induced in situations that demand a level of activation. This reaction has both positive and negative impact on the life of each individual. Thus, the problem of stress management is vital for the maintenance of a person’s psychological balance. This paper aims at the brief presentation   of stress definition and various factors that can lead to augmented stress levels. Moreover, a brief synopsis of biosignals that are used for the detection and categorization of stress and their analysis is presented. Methods: Several studies, articles and reviews were included after literature research. The main questions of the research were: the most important and widely used physiological signals for stress detection/assessment, the analysis methods for their manipulation and the implementation of signal analysis for stress detection/assessment in various developed systems.  Findings: The main conclusion is that current researching approaches lead to more sophisticated methods of analysis and more accurate systems of stress detection and assessment. However, the lack of a concrete framework towards stress detection and assessment remains a great challenge for the research community. Doi: 10.28991/esj-2021-01267 Full Text: PDF


2020 ◽  
Vol 95 ◽  
pp. 106672 ◽  
Author(s):  
Victor Hugo C. de Albuquerque ◽  
Deepak Gupta ◽  
Ivanoe De Falco ◽  
Giovanna Sannino ◽  
Nizar Bouguila

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