Prof. Dr. Aydin Akan
Electrical and Electronics Engineering, İzmir University of Economics, İzmir, Turkey (Türkiye)
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
30Years (1997-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications29 June 2016 in Pattern Analysis and Applications
Journal Article
AMAhmet Mert
Ahmet MertAydin Akan1 October 2019
Conference Paper
EIElif Izci
Elif Izci
MOMehmet Akif Ozdemir
Mehmet Akif OzdemirMDMurside Degirmenci
Murside Degirmenci
Aydin AkanArrhythmia is irregular changes of normal heart rhythm and effective manual identifying of them require a lot of time and depends on experience of clinicians. This paper proposes deep learning-based novel 2-D convolutional neural network (CNN) approach for accurate classification of five different arrhythmia types. The performance of the proposed architecture is tested on Electrocardiogram (ECG) signals that are taken from MIT-BIH arrhythmia benchmark database. ECG signals was segmented into heartbeats and each of the heartbeats was converted into 2-D grayscale images as an input data for CNN structure. The accuracy of the proposed architecture was found as 97.42% on the training results revealed that the proposed 2-D CNN architecture with transformed 2-D ECG images can achieve highest accuracy without any preprocessing and feature extraction and feature selection stages for ECG signals.
1 September 2014 in Digital Signal Processing
Journal Article
AMAhmet Mert
Ahmet MertAydin Akan1 October 2019
Conference Paper
MOMehmet Akif Ozdemir
Mehmet Akif OzdemirBEBerkay Elagoz
Berkay Elagoz
AAAysegul Alaybeyoglu
Aysegul Alaybeyoglu
RSReza Sadighzadeh
Reza Sadighzadeh
Aydin AkanEmotion is an important topic in different fields such as biomedical engineering, psychology, neuroscience and health. Emotion recognition could be useful for diagnosis of brain and psychological disorders. In recent years, deep learning has progressed much in the field of image classification. In this study, we proposed a Convolutional Neural Network (CNN) based LeNet architecture for facial expression recognition. First of all, we merged 3 datasets (JAFFE, KDEF and our custom dataset). Then we trained our LeNet architecture for emotion states classification. In this study, we achieved accuracy of 96.43% and validation accuracy of 91.81% for classification of 7 different emotions through facial expressions.
1 October 2018 in Digital Signal Processing
Journal Article
AMAhmet Mert
Ahmet MertAydin Akan1 October 2022 in IRBM
Journal Article
MDM. Degirmenci
M. Degirmenci
MOMehmet Akif Ozdemir
Mehmet Akif OzdemirEIE. Izci
E. IzciAydin AkanAbout Me
Aydin Akan (Senior Member, IEEE) received a Ph.D. degree in
Electrical Engineering from the University of Pittsburgh, Pittsburgh, PA, USA,
in 1996. He has been with the
Department of Electrical and Electronics Engineering, Istanbul University
between 1996 and 2017. He was appointed as Professor and Chair
of the Department of Biomedical Engineering between March 2017 and January
2020, where he served as the Dean of the School of Engineering and Architecture,
Izmir Katip Celebi University, Izmir, Turkey. Currently he holds a professor
position at the Department of Electrical and Electronics Engineering, Izmir
University of Economics, where he serves as the Department Chair. His
current research interests include nonstationary signal processing, especially Electroencephalogram
(EEG) signal analysis, time-frequency signal processing, artificial
intelligence methods, and their applications to early detection and classification
of neurological and neurodevelopmental diseases, human emotion estimation, biomedical
engineering and machine fault diagnosis systems. He is a senior member of the IEEE
Signal Processing (SP) and Engineering in Medicine and Biology (EMB) Societies,
and a member of the European Signal Processing Association (EURASIP). He serves as an Associate Editor of Elsevier
Digital Signal Processing, Frontiers in Human Neuroscience and Electronics and
Signal Processing Journals, and Section Editor of the Franklin Open Journal of
the Franklin Institute.