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JCR Impact Factor: 0.650
JCR 5-Year IF: 0.639
Issues per year: 4
Current issue: Nov 2019
Next issue: Feb 2020
Avg review time: 73 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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LATEST NEWS

2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

Read More »


    
 

  1/2014 - 20

Automatic Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier

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, COSTIN, H. See more information about COSTIN, H. on SCOPUS See more information about COSTIN, H. on SCOPUS See more information about COSTIN, H. on Web of Science
 
Click to see author's profile in 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 (741 KB) | Citation | Downloads: 524 | Views: 3,079

Author keywords
adaptive neuro-fuzzy classifier, artificial neural networks, handwriting analysis, nonlinear dynamics, tremor

References keywords
inson(11), disease(10), system(6), tremor(5), geman(5), analysis(5), processing(4), link(4), data(4), costin(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 133 - 138
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01020
Web of Science Accession Number: 000332062300020
SCOPUS ID: 84894623357

Abstract
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Full text preview
Neurological diseases like Alzheimer, epilepsy, Parkinson's disease, multiple sclerosis and other dementias influence the lives of patients, their families and society. Parkinson's disease (PD) is a neurodegenerative disease that occurs due to loss of dopamine, a neurotransmitter and slow destruction of neurons. Brain area affected by progressive destruction of neurons is responsible for controlling movements, and patients with PD reveal rigid and uncontrollable gestures, postural instability, small handwriting and tremor. Commercial activity-promoting gaming systems such as the Nintendo Wii and Xbox Kinect can be used as tools for tremor, gait or other biomedical signals acquisitions. They also can aid for rehabilitation in clinical settings. This paper emphasizes the use of intelligent optical sensors or accelerometers in biomedical signal acquisition, and of the specific nonlinear dynamics parameters or fuzzy logic in Parkinson's disease tremor analysis. Nowadays, there is no screening test for early detection of PD. So, we investigated a method to predict PD, based on the image processing of the handwriting belonging to a candidate of PD. For classification and discrimination between healthy people and PD people we used Artificial Neural Networks (Radial Basis Function - RBF and Multilayer Perceptron - MLP) and an Adaptive Neuro-Fuzzy Classifier (ANFC). In general, the results may be expressed as a prognostic (risk degree to contact PD).


References | Cited By  «-- Click to see who has cited this paper

[1] S. K. Van Den Eeden, C. M. Tanner, A. L. Bernstein, R. D. Fross, A. Leimpeter, D. A. Bloch, L. M. Nelson, "Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity," American Journal of Epidemiology, Vol. 157, No. 11, pp. 1015-1022, 2003.
[CrossRef] [Web of Science Times Cited 775]


[2] E. R. Dorsey, R. Constantinescu, J. P. Thomson, K. M. Biglan, R. G. Holloway, K. Kieburtz, et al., "Projected number of people with Parkinson's disease in most populous nations, 2005 through 2030," Neurology, Vol. 68, pp. 384-386, 2007.
[CrossRef] [Web of Science Times Cited 1066] [SCOPUS Times Cited 1155]


[3] R. C. Helmich, M. Hallett, G. Deuschl, I. Toni, B. R. Bloem, "Cerebral Causes and Consequences of Parkinsonian Resting Tremor," Brain, 135(11), pp. 3206-3226, 2012.
[CrossRef] [Web of Science Times Cited 205] [SCOPUS Times Cited 209]


[4] W. F. Abdo, B. P. van de Warrenburg, N. P. Quinn, B. R. Bloem, "The clinical approach to movement disorders," Nat. Rev. Neurol., Vol. 6, pp. 29-37, 2010.
[CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 79]


[5] A. J. Lees, J. Hardy, T. Revesz, "Parkinson's disease," Lancet, Vol. 373, pp. 2055-2066, 2009.
[CrossRef] [Web of Science Times Cited 1162] [SCOPUS Times Cited 1250]


[6] R. J. Moran, N. Mallet, V. Litvak, R. J. Dolan, P. J. Magill, K. J. Friston, P. Brown, "Alteration in brain connectivity underlying beta oscillations in Parkinsonism," Plos. Comput. Biol., Vol. 7, pp. 102-124, 2011.
[CrossRef] [Web of Science Times Cited 98] [SCOPUS Times Cited 98]


[7] H. Mure, S. Hirano, C. C. Tang, I. U. Isaias, A. Antonini, Y. Ma, V. Dhawan, D. Eidelberg, "Parkinson's disease tremor-related metabolic network : characterization, progression, and treatment effects," Neuroimage, Vol. 54, pp. 1244-1253, 2011.
[CrossRef] [Web of Science Times Cited 135] [SCOPUS Times Cited 154]


[8] M. B. Stern, A. Siderowf, "Parkinson's at risk syndrome: can Parkinson's disease be predicted?," Mov. Disord., Vol. 25, pp. 89-93, 2010.
[CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 64]


[9] O. Geman, "Data processing for Parkinson's disease tremor, speech and gait signal analysis," proc. IEEE Int. Conf. on E-Health and Bioengineering-EHB, Romania, pp. 45-49, 2011.

[10] O. Geman, S. Pohoata, A. Graur, "Acquisition and processing data for early stage of Parkinson's disease," Rev. Roum. Sci. Techn.- √Člectrotechn. et √Čnerg., Vol. 58, No. 3, pp. 324-334, 2013. [Online] Available: Temporary on-line reference link removed - see the PDF document

[11] O. Geman, C. Zamfir, "Using Wavelet for Early Detection of Pathological Tremor," proc. of 20th European Signal Processing Conference, Romania, pp. 1723-1727, 2012.

[12] M. Marimorita, T. Iizuka, A. Takeuchi, M. Shirataka, N. Ikeda, "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] [Web of Science Times Cited 29] [SCOPUS Times Cited 34]


[13] R. A. Clark, A. L. Bryant, Y. Pua, P. McCrory, K. Bennell, M. Hunt, "Validity and reliability of Nintendo Wii balance board for assessment of standing balance," Gait & Posture, Vol. 31, pp. 307-310, 2010.
[CrossRef] [Web of Science Times Cited 505] [SCOPUS Times Cited 570]


[14] Chaos Data Analyzer, CDA, [Online] Available: Temporary on-line reference link removed - see the PDF document

[15] Nonlinear Analysis in Real Time, NLyzer, [Online] Available: Temporary on-line reference link removed - see the PDF document

[16] O. Geman, "A fuzzy expert system design for diagnosis of Parkinson's disease," proc. IEEE Int. Conference on E-Health and Bioengineering-EHB 2011, Romania, pp. 26-30, 2011.

[17] O. Geman, C. O. Turcu, A. Graur, "Parkinson's disease screening tools using a fuzzy expert system," Advances in Electrical and Computer Engineering, Vol. 13, No. 1, pp. 41-46, 2013.
[CrossRef] [Full Text] [Web of Science Times Cited 20] [SCOPUS Times Cited 20]


[18] H. Costin, A. Ciobanu, A. Todirascu, "Script recognition system for languages with diacritic signs", proc. IEEE World Congress of Computational Intelligence / The 1998 IEEE Int. Joint Conf. on Neural Networks, Anchorage, Alaska, Vol. 2, pp. 1188-1193, 1998.

[19] W. K. Pratt, "Digital Image Processing," 3rd Ed., pp. 443-508, 551-587, John Wiley & Sons, Inc., New York, U.S.A., 2001.
[CrossRef]


[20] L. Lam, S. W. Lee, C. Y. Suen, "Thinning methodologies - a comprehensive survey," IEEE Trans. on PAMI, Vol. 14, No. 9, pp. 869-885, 1992.
[CrossRef] [Web of Science Times Cited 929] [SCOPUS Times Cited 1224]


[21] H. Costin, I. Rusu, S. Pescaru, A. Ciobanu, "Fingerprint identification system using neural network approach," Advances in Modeling and Analysis, Vol. 36, No. 2, pp. 21-27, 1995.

[22] H. Costin, C. Rotariu, "Automatic evaluation of neuro-motor disorder using image analysis of handwriting," Medical-Surgical Journal, Vol. 105, No. 2, pp. 386-390, 2001.

[23] H. Costin, "On object classification by means of fuzzy sets theory," proc. of 9th Int. Conference on Pattern Recognition, The Netherlands, pp. 458-461, 1992.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]


[24] S. Pohoata, A. Graur, "HDTV System for Parkinson's Disease Diagnosis," Advances in Electrical and Computer Engineering, Vol. 13, No. 2, pp. 91-96, 2013.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[25] Data Mining Software, WEKA, [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 5,059 TCR
SCOPUS® Citations for all references: 4,862 TCR

Web of Science® Average Citations per reference: 195 ACR
SCOPUS® Average Citations per reference: 187 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 2019-12-11 06:36 in 113 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
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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.

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


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