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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


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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.

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Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  1/2013 - 7

 HIGH-IMPACT PAPER 

Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear Dynamics

GEMAN, O. See more information about GEMAN, O. on SCOPUS See more information about GEMAN, O. on IEEExplore See more information about GEMAN, O. on Web of Science, TURCU, C. O. See more information about  TURCU, C. O. on SCOPUS See more information about  TURCU, C. O. on SCOPUS See more information about TURCU, C. O. on Web of Science, GRAUR, A. See more information about GRAUR, A. on SCOPUS See more information about GRAUR, A. on SCOPUS See more information about GRAUR, A. on Web of Science
 
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Download PDF pdficon (719 KB) | Citation | Downloads: 1,230 | Views: 5,006

Author keywords
Parkinson's disease, assessment, tremor symptom, fuzzy, expert systems, nonlinear dynamics

References keywords
fuzzy(12), tremor(10), inson(9), disease(8), analysis(7), system(5), geman(5), systems(4), signal(4), expert(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-02-28
Volume 13, Issue 1, Year 2013, On page(s): 41 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.01007
Web of Science Accession Number: 000315768300007
SCOPUS ID: 84875335626

Abstract
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This paper proposes a new screening system for quantitative evaluation and analysis, designed for the early stage detection of Parkinson disease. This has been carried out in the view of improving the diagnosis currently established upon a basis of subjective scores. Parkinsons disease (PD) appears as a result of dopamine loss, a chemical mediator that is responsible for the bodys ability to control movements. The symptoms reflect the loss of nerve cells, due to an unknown. The input parameters of the system are represented by amplitude, frequency, the spectral characteristic and trembling localization. The main symptoms include trembling of hand, arms, movement difficulties, postural instability, disturbance of coordination and equilibrium, sleep disturbance, difficulties in speaking, reducing of voice volume. The medical knowledge in PD field is characterized by imprecision, uncertainty and vagueness. The proposed system (fuzzy expert systems) is non-invasive and, easy to use by both physicians and patients at home.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 26
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Cited-By CrossRef

[1] Parkinson’s Disease in Romania: A Scoping Review, Rosca, Elena Cecilia, Tudor, Raluca, Cornea, Amalia, Simu, Mihaela, Brain Sciences, ISSN 2076-3425, Issue 6, Volume 11, 2021.
Digital Object Identifier: 10.3390/brainsci11060709
[CrossRef]

[2] Diagnosis of Alzheimer's Disease from Brain Magnetic Resonance Imaging Images using Deep Learning Algorithms, SUGANTHE, R. C., LATHA, R. S., GEETHA, M., SREEKANTH, G. R., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.03007
[CrossRef] [Full text]

[3] Development of a Medical Care Terminal for Efficient Monitoring of Bedridden Subjects, Pereira, Filipe, Carvalho, Vítor, Soares, Filomena, Machado, José, Bezerra, Karolina, Silva, Rui, Matos, Demétrio, Journal of Engineering, ISSN 2314-4904, Issue , 2016.
Digital Object Identifier: 10.1155/2016/3591059
[CrossRef]

[4] Automatic Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier, GEMAN, O., COSTIN, H., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.01020
[CrossRef] [Full text]

[5] A Mobile Application for Smart Computer-Aided Self-Administered Testing of Cognition, Speech, and Motor Impairment, Lauraitis, Andrius, Maskeliūnas, Rytis, Damaševičius, Robertas, Krilavičius, Tomas, Sensors, ISSN 1424-8220, Issue 11, Volume 20, 2020.
Digital Object Identifier: 10.3390/s20113236
[CrossRef]

[6] ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms, Lauraitis, Andrius, Maskeliūnas, Rytis, Damaševičius, Robertas, Journal of Healthcare Engineering, ISSN 2040-2295, Issue , 2018.
Digital Object Identifier: 10.1155/2018/4581272
[CrossRef]

[7] Application of Adaptive Neuro-Fuzzy Inference System for diabetes classification and prediction, Geman, Oana, Chiuchisan, Iuliana, Toderean, Roxana, 2017 E-Health and Bioengineering Conference (EHB), ISBN 978-1-5386-0358-1, 2017.
Digital Object Identifier: 10.1109/EHB.2017.7995505
[CrossRef]

[8] Improved method to perform FES&BCI based rehabilitation, Irimia, Danut C., Poboroniuc, Marian S., Ortner, Rupert, 2013 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4799-2373-1, 2013.
Digital Object Identifier: 10.1109/EHB.2013.6707384
[CrossRef]

[9] Increased QT variability index as a marker for a cardiac autonomic dysregulation in schizophrenia, Costin, Hariton, Schulz, Steffen, Bar, Karl-Jurgen, Alexa, Ioana, Adochiei, Felix, Voss, Andreas, 2013 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4799-2373-1, 2013.
Digital Object Identifier: 10.1109/EHB.2013.6707333
[CrossRef]

[10] Deep brain stimulation efficiency and Parkinson's disease stage prediction using Markov models, Geman, Oana, Chiuchisan, Iuliana, 2015 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4673-7544-3, 2015.
Digital Object Identifier: 10.1109/EHB.2015.7391433
[CrossRef]

[11] A comparison between healthy and neurological disorders patients using nonlinear dynamic tools, Aldea, Roxana Toderean, Geman, Oana, Chiuchisan, Iuliana, Lazar, Anca Mihaela, 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), ISBN 978-1-5090-6129-7, 2016.
Digital Object Identifier: 10.1109/ICEPE.2016.7781351
[CrossRef]

[12] Surface investigations of vacuum Teflon thin films deposited on different materials suitable for medical applications and optoelectronics, Prelipceanu, Marius, Cojocariu, Lucian-Nicolae, Graur, Adrian, 2013 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4799-2373-1, 2013.
Digital Object Identifier: 10.1109/EHB.2013.6707421
[CrossRef]

[13] A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease, Casalino, Gabriella, Grassi, Riccardo, Iannotta, Marco, Pasquadibisceglie, Vincenzo, Zaza, Gianluca, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), ISBN 978-1-7281-4384-2, 2020.
Digital Object Identifier: 10.1109/EAIS48028.2020.9122750
[CrossRef]

[14] Serious Games used in Rehabilitation of Patients with Osteoarthritis, Geman, Oana, Chiuchisan, Iuliana, Vicoveanu, Dragos, 2021 International Conference on e-Health and Bioengineering (EHB), ISBN 978-1-6654-4000-4, 2021.
Digital Object Identifier: 10.1109/EHB52898.2021.9657736
[CrossRef]

[15] Real-time health status monitoring system based on a fuzzy agent model, Ivascu, Todor, Aritoni, Ovidiu, 2015 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4673-7544-3, 2015.
Digital Object Identifier: 10.1109/EHB.2015.7391502
[CrossRef]

[16] A security approach for health care information systems, Chiuchisan, Iuliana, Balan, Doru-Gabriel, Geman, Oana, Chiuchisan, Iulian, Gordin, Ionel, 2017 E-Health and Bioengineering Conference (EHB), ISBN 978-1-5386-0358-1, 2017.
Digital Object Identifier: 10.1109/EHB.2017.7995525
[CrossRef]

[17] Nonlinear dynamics, artificial neural networks and neuro-fuzzy classifier for automatic assessing of tremor severity, Geman, Oana, 2013 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4799-2373-1, 2013.
Digital Object Identifier: 10.1109/EHB.2013.6707282
[CrossRef]

[18] Towards an inclusive Parkinson's screening system, Geman, Oana, Sanei, Saeid, Chiuchisan, Iuliana, Graur, Adrian, Prochazka, Ales, Vysata, Oldrich, 2014 18th International Conference on System Theory, Control and Computing (ICSTCC), ISBN 978-1-4799-4601-3, 2014.
Digital Object Identifier: 10.1109/ICSTCC.2014.6982461
[CrossRef]

[19] Joint EEG — EMG signal processing for identification of the mental tasks in patients with neurological diseases, Geman, Oana, Chiuchisan, Iuliana, Covasa, Mihai, Eftaxias, Konstantinos, Sanei, Saeid, Madeira, Jonni Guiller Ferreira, Boloy, Ronney Arismel Mancebo, 2016 24th European Signal Processing Conference (EUSIPCO), ISBN 978-0-9928-6265-7, 2016.
Digital Object Identifier: 10.1109/EUSIPCO.2016.7760518
[CrossRef]

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