| 1/2013 - 7 |
Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear DynamicsGEMAN, O.   , TURCU, C. O. , GRAUR, A. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (719 KB) | Citation | Downloads: 1,340 | Views: 5,360 |
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
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 «-- Click to see who has cited this paper |
| [1] Dorsey E.R., Constantinescu R., Thompson J.P., et al., "Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030", Neurology, Vol. 68, pp. 384-386, 2007 [CrossRef] [PubMed] [Web of Science Times Cited 1780] [SCOPUS Times Cited 1943] [2] Less A.J., Hardy A., Revesz T., "Parkinson's disease", Lancet, pp. 2055-2066, 2009. [CrossRef] [Web of Science Times Cited 1626] [SCOPUS Times Cited 1766] [3] National Institute of Neurological Disorders and Stroke, Parkinson's Disease, [Online] Available: Temporary on-line reference link removed - see the PDF document (2012) [4] Movement Disorder Society Task Force on Rating Scales for Parkinson's Disease, "The Unified Parkinson's Disease Rating Scale (UPSRS): Status and Recommendations", Movement Disorders, Vol. 18, No. 7, pp. 738-750, 2003. [CrossRef] [PubMed] [Web of Science Times Cited 1354] [SCOPUS Times Cited 1491] [5] Lemoyne R, "Implementation of an iPhone for characterizing Parkinson's disease tremor through a wireless accelerometer application", 32 Annual Conference of the IEEE EMBS, pp. 4954-4958, 2010. [CrossRef] [Web of Science Times Cited 78] [SCOPUS Times Cited 128] [6] Coroian C., Lemoyne R., "The merits of artificial proprioception, with applications in biofeedback gait rehabilitation concepts and movement disorder characterization", Biomedical Engineering, ISBN 978-953-307-013-1, pp.165-198, 2009. [7] Costin H., Rotariu C., "Automatic evaluation of neuro-motor disorder using image analysis of handwriting", Medical-Surgical Journal, Vol. 105, No.2, pp. 386-390, Iasi, Romania, 2001. [8] Costin H., Rotariu C., "Tremor assessment by means of handscript analysis and fuzzy logic", Biomedical Softcomputing & Human Sciences Journal, Vol. 7, No.1, pp. 39-45, Japan, 2001. [9] Neshat M., Yaglobi, M. "Designing a Fuzzy Expert System of Diagnosing the Hepatitis B Intensity Rate and Comparing it with Adaptive Neural Network Fuzzy System", Proceedings of the World Congress on Engineering and Computer Science, San Francisco, USA, Vol. II:346-352, ISBN:978-988-18210-2-7, 2009. [10] Saritas I., Allahverdi N., Unal Sert I., "A Fuzzy Expert System Design for Diagnosis of Prostate Cancer", International Conference on Computer Systems and Technologies - COMPSYSTECH'2003, pp. 1202-1219, 2003. [11] Lingmei, J. Wang, Ruoxia Y., "Classification of Parkinson and essential tremor using empirical mode decomposition and support vector machine", Digital Signal Process., pp. 245-263, 2011. [12] Plamena A., Ognyan M., "Fuzzy Multi-Criteria Decision Making Method for Diagnostic Selection", ECAI 2005 - International Conference, Electronics, Computers and Artificial Intelligence, Romania, pp. 398-403, 2005. [13] Geman O., Zamfir C., "Using Wavelet for Early Detection of Pathological Tremor", EUSIPCO 2012 - 20th European Signal Processing Conference, pp. 1723-1727, ISSN 2076-1465, 2012. [14] Costin H., Rotariu C., "Medical image analysis and representation using a fuzzy and rule-based hybrid approach", Int. Journal of Computers, Communications & Control, pp. 156-162, 2006. [15] Geman O., "A Fuzzy Expert Systems Design for Diagnosis of Parkinson's Disease", EHB'2011 E-Health and Bioengineering Conference, pp. 122-126, ISBN: 978-1-4577-0292-1, 2011. [16] Geman O., "Data Processing for Parkinson's Disease Tremor, Speech and Gait Signal Analysis", EHB'2011 E-Health and Bioengineering Conference, pp. 53-57, ISBN: 978-1-4577-0292-1, 2011. [17] Dobrea D.M., Teodorescu H.N., "A new type of non-contact 2D multimodal interface to track and acquire hand position and tremor signal", 8th Biennial Baltic Electronics Conference, Tallin, pp. 359-362, 2002. [18] Marimorita M., Iizuka T., Takeuchi A., Shirataka M., Ikeda N., "Development of a System for Measurement and Analysis of Tremor Using a Three-axis Accelerometer", Methods Inf. Med., Vol. 6, pp. 589-594, 2009. [CrossRef] [PubMed] [Web of Science Times Cited 34] [SCOPUS Times Cited 41] [19] Teodorescu H.N., Chelaru M., Kandel A., Tofan I., Irimia M., "Fuzzy methods in tremor assessment, prediction, and rehabilitation". Artificial Intelligence in Medicine, Vol. 21(1-3), pp. 107-130, 2001. [CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 26] [20] Geman (Voroneanu) O., Teodorescu H.N., Zamfir C., "Nonlinear Analysis and Selection of Relevant Parameters in Assessing the Treatment Results of reducing Tremor, using DBS procedure", International Joint Conference on Neural Networks IJCNN'2004, Budapest, Hungary, pp. 1207-1216, 2004. [21] Teodorescu H.N., Geman (Voroneanu) O., "Selection of Relevant Nonlinear Parameters in Assessing the DBS Treatment Results of the Tremor," European Conference on Intelligent Systems and Technologies ECIT'2004, pp. 62-70, 2004. [22] Chaos Data Analyzer (CDA), [Online] Available: Temporary on-line reference link removed - see the PDF document (2012) [23] Nonlinear Analysis in Real Time (Nlyzer), [Online] Available: Temporary on-line reference link removed - see the PDF document (2012) [24] Precup R.E., Hellendoom H., "A survey on industrial applications of fuzzy control", Computers and Industry, Vol. 62, No. 3, pp. 213-225, 2011. [CrossRef] [Web of Science Times Cited 408] [SCOPUS Times Cited 488] [25] Schipor O., Pentiuc G., Schipor D., "Toward Automatic Recognition of Children's Affective State Using Physiological Parameters and Fuzzy Model of Emotions", Advances in Electrical and Computer Engineering, Volume 12, No. 2, pp. 47 - 50, ISSN: 1582-7445, e-ISSN: 1844-7600, [CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 5] [26] D'Urso P., Massari R., "Fuzzy clustering of human activity", Fuzzy Sets and Systems, Vol 215, No.16, pp. 29-54, 2013. [CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 56] [27] Zaharia M.H., Leon F., "Speech Therapy Based on Expert System", Advances in Electrical and Computer Engineering, Vol. 9, No. 1, pp. 74-77, ISSN: 1582-7445, e-ISSN: 1844-7600, 2009. [CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 7] Web of Science® Citations for all references: 5,366 TCR SCOPUS® Citations for all references: 5,951 TCR Web of Science® Average Citations per reference: 192 ACR SCOPUS® Average Citations per reference: 213 ACR TCR = Total Citations for References / ACR = Average Citations per Reference We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more Citations for references updated on 2024-11-15 02:20 in 72 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
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.
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.
