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Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear DynamicsGEMAN, O. , TURCU, C. O. , GRAUR, A.
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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)
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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.
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| 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 554] [SCOPUS Times Cited 663]
 Less A.J., Hardy A., Revesz T., "Parkinson's disease", Lancet, pp. 2055-2066, 2009.
[CrossRef] [SCOPUS Times Cited 809]
 National Institute of Neurological Disorders and Stroke, Parkinson's Disease, [Online] Available: Temporary on-line reference link removed - see the PDF document (2012)
 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 404] [SCOPUS Times Cited 525]
 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 17] [SCOPUS Times Cited 20]
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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 19] [SCOPUS Times Cited 27]
 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 16] [SCOPUS Times Cited 19]
 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.
 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.
 Chaos Data Analyzer (CDA), [Online] Available: Temporary on-line reference link removed - see the PDF document (2012)
 Nonlinear Analysis in Real Time (Nlyzer), [Online] Available: Temporary on-line reference link removed - see the PDF document (2012)
 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 152] [SCOPUS Times Cited 199]
 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 5] [SCOPUS Times Cited 1]
 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 13] [SCOPUS Times Cited 15]
 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 4] [SCOPUS Times Cited 6]
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