|1/2013 - 7|
Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear DynamicsGEMAN, O. , TURCU, C. O. , GRAUR, A.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (719 KB) | Citation | Downloads: 573 | Views: 2,751|
Parkinson's disease, assessment, tremor symptom, fuzzy, expert systems, nonlinear dynamics
fuzzy(12), tremor(10), parkinson(9), disease(8), analysis(7), system(5), geman(5), teodorescu(4), systems(4), signal(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
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.
Web of Science® Times Cited: 14 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 16
View record in SCOPUS® [Free preview]
 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]
 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]
 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]
 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]
 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]
 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]
 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]
 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]
 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]
 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]
 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]
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 Thomson Reuters, 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.
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.