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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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  1/2014 - 20

 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (741 KB) | Citation | Downloads: 839 | Views: 3,912

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 983] [SCOPUS Times Cited 1098]


[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 1489] [SCOPUS Times Cited 1604]


[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 301] [SCOPUS Times Cited 314]


[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 105] [SCOPUS Times Cited 113]


[5] A. J. Lees, J. Hardy, T. Revesz, "Parkinson's disease," Lancet, Vol. 373, pp. 2055-2066, 2009.
[CrossRef] [Web of Science Times Cited 1456] [SCOPUS Times Cited 1562]


[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 120] [SCOPUS Times Cited 122]


[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 164] [SCOPUS Times Cited 187]


[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 65] [SCOPUS Times Cited 76]


[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 31] [SCOPUS Times Cited 36]


[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 615] [SCOPUS Times Cited 691]


[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 26] [SCOPUS Times Cited 26]


[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 1078] [SCOPUS Times Cited 1400]


[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 3] [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: 6,438 TCR
SCOPUS® Citations for all references: 7,234 TCR

Web of Science® Average Citations per reference: 248 ACR
SCOPUS® Average Citations per reference: 278 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 2022-08-11 16:33 in 98 seconds.




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