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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
Current issue: Feb 2017
Next issue: May 2017
Avg review time: 74 days


PUBLISHER

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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2017-Apr-04
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2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "Big Data - " before the paper title in OpenConf.

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2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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  1/2013 - 7

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
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (719 KB) | Citation | Downloads: 563 | Views: 2,674

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

References keywords
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

Abstract
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Full text preview
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 608] [SCOPUS Times Cited 728]


[2] Less A.J., Hardy A., Revesz T., "Parkinson's disease", Lancet, pp. 2055-2066, 2009.
[CrossRef] [SCOPUS Times Cited 863]


[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 413] [SCOPUS Times Cited 551]


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[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 37]


[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 21] [SCOPUS Times Cited 29]


[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 17] [SCOPUS Times Cited 20]


[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 166] [SCOPUS Times Cited 212]


[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 5] [SCOPUS Times Cited 1]


[26] D'Urso P., Massari R., "Fuzzy clustering of human activity", Fuzzy Sets and Systems, Vol 215, No.16, pp. 29-54, 2013.
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[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 4] [SCOPUS Times Cited 6]




References Weight

Web of Science® Citations for all references: 1,267 TCR
SCOPUS® Citations for all references: 2,464 TCR

Web of Science® Average Citations per reference: 45 ACR
SCOPUS® Average Citations per reference: 88 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 2017-04-22 23:54 in 69 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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