Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: May 2024
Next issue: Aug 2024
Avg review time: 57 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,632,365 unique visits
1,044,913 downloads
Since November 1, 2009



Robots online now
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
Issue 2/2022

AbstractPlus






LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

Read More »


    
 

  3/2014 - 9

 HIGH-IMPACT PAPER 

Kohonen Neural Network Stress Detection Using Only Electrodermal Activity Features

BORNOIU, I.-V. See more information about BORNOIU, I.-V. on SCOPUS See more information about BORNOIU, I.-V. on IEEExplore See more information about BORNOIU, I.-V. on Web of Science, GRIGORE, O. See more information about GRIGORE, O. on SCOPUS See more information about GRIGORE, O. on SCOPUS See more information about GRIGORE, O. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (958 KB) | Citation | Downloads: 855 | Views: 3,563

Author keywords
biomedical signal processing, data analysis, electrophysiology, pattern recognition, self organizing feature maps

References keywords
stress(7), electrodermal(6), activity(5), emotion(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 71 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03009
Web of Science Accession Number: 000340869800009
SCOPUS ID: 84907310113

Abstract
Quick view
Full text preview
This paper presents a method for identifying human stress levels by using a Kohonen neural network. The study focuses on differentiating between a relaxed and a stressed state and it presents a series of parameters (skin conductance response signal power, skin conductance response signal frequency, skin conductance level gradient, response rise time and response amplitude) extracted only from the electrodermal activity signal. A very strict recording protocol was used to minimize the artifacts caused by the bad connection between electrodes and skin. A stress inducing method is presented that can be used to replicate results in laboratory conditions.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 8 [View]
View record in Web of Science® [View]
View Related Records® [View]

Updated 2 days, 15 hours ago


Cited-By SCOPUS

SCOPUS® Times Cited: 9
View record in SCOPUS®
[Free preview]
View citations in SCOPUS® [Free preview]

Updated 2 days, 15 hours ago

Cited-By CrossRef

[1] Adaptive Normalization and Feature Extraction for Electrodermal Activity Analysis, Viana-Matesanz, Miguel, Sánchez-Ávila, Carmen, Mathematics, ISSN 2227-7390, Issue 2, Volume 12, 2024.
Digital Object Identifier: 10.3390/math12020202
[CrossRef]

[2] Acute Stress State Classification Based on Electrodermal Activity Modeling, Greco, Alberto, Valenza, Gaetano, Lázaro, Jesús, Garzón-Rey, Jorge Mario, Aguiló, Jordi, de la Cámara, Concepcion, Bailón, Raquel, Scilingo, Enzo Pasquale, IEEE Transactions on Affective Computing, ISSN 1949-3045, Issue 1, Volume 14, 2023.
Digital Object Identifier: 10.1109/TAFFC.2021.3055294
[CrossRef]

[3] Importance of Testing with Independent Subjects and Contexts for Machine-Learning Models to Monitor Construction Workers’ Psychophysiological Responses, Lee, Gaang, Lee, SangHyun, Journal of Construction Engineering and Management, ISSN 0733-9364, Issue 9, Volume 148, 2022.
Digital Object Identifier: 10.1061/(ASCE)CO.1943-7862.0002341
[CrossRef]

[4] ELECTRODERMAL ACTIVITY-BASED ANALYSIS OF EMOTION RECOGNITION USING TEMPORAL-MORPHOLOGICAL FEATURES AND MACHINE LEARNING ALGORITHMS, SRIRAM KUMAR, P., GOVARTHAN, PRAVEEN KUMAR, GANAPATHY, NAGARAJAN, RONICKOM, JAC FREDO AGASTINOSE, Journal of Mechanics in Medicine and Biology, ISSN 0219-5194, Issue 06, Volume 23, 2023.
Digital Object Identifier: 10.1142/S0219519423400444
[CrossRef]

[5] Personalized mental stress detection with self-organizing map: From laboratory to the field, Tervonen, Jaakko, Puttonen, Sampsa, Sillanpää, Mikko J., Hopsu, Leila, Homorodi, Zsolt, Keränen, Janne, Pajukanta, Janne, Tolonen, Antti, Lämsä, Arttu, Mäntyjärvi, Jani, Computers in Biology and Medicine, ISSN 0010-4825, Issue , 2020.
Digital Object Identifier: 10.1016/j.compbiomed.2020.103935
[CrossRef]

[6] Computational Balancing between Wearable Sensor and Smartphone towards Energy-Efficient Remote Healthcare Monitoring, SECERBEGOVIC, A., GOGIC, A., SULJANOVIC, N., ZAJC, M., MUJCIC, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.04001
[CrossRef] [Full text]

[7] Social and competition stress detection with wristband physiological signals, Sevil, Mert, Hajizadeh, Iman, Samadi, Sediqeh, Feng, Jianyuan, Lazaro, Caterina, Frantz, Nicole, Yu, Xia, Brandt, Rachel, Maloney, Zacharie, Cinar, Ali, 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), ISBN 978-1-5090-6244-7, 2017.
Digital Object Identifier: 10.1109/BSN.2017.7936002
[CrossRef]

Updated 2 days, 15 hours ago

Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.

Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.


Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy