2/2013 - 15 |
HDTV System for Parkinson's Disease DiagnosisPOHOATA, S. , GRAUR, A. |
Extra paper information in |
Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF (672 KB) | Citation | Downloads: 977 | Views: 3,775 |
Author keywords
HDTV, video recording, image analysis, medical diagnosis, fuzzy systems
References keywords
inson(19), disease(19), tremor(7), video(6), neurology(5), image(5), analysis(5), systems(4), speech(4), processing(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02015
Web of Science Accession Number: 000322179400015
SCOPUS ID: 84878908710
Abstract
Health care is facing major challenges and information technologies play an important role in disease management. Cost issues raised by many medical problems that society has to face involve a superior approach to the diagnosis of the diseases that characterize the modern world. In this paper, we suggest the implementation of a high definition video system in the early management of Parkinson's disease. The High-Definition Television Video System (HDTV) is designed to record suspicious patients, on their inhabitancy, in order to detect tremor and analyze its evolution. Also, after testing HDTV system functionality, an alternative method is proposed for video sequences assessing in order to eliminate uncertainty and provide an adequate telediagnosis. |
References | | | Cited By |
Web of Science® Times Cited: 3 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated today
SCOPUS® Times Cited: 3
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
[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] 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]
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.
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.