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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2013 - 15

HDTV System for Parkinson's Disease Diagnosis

POHOATA, S. See more information about POHOATA, S. on SCOPUS See more information about POHOATA, S. on IEEExplore See more information about POHOATA, S. 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
 
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Download PDF pdficon (672 KB) | Citation | Downloads: 976 | Views: 3,773

Author keywords
HDTV, video recording, image analysis, medical diagnosis, fuzzy systems

References keywords
inson(19), disease(19), tremor(7), video(6), neurology(5), image(5), analysis(5), systems(4), speech(4), processing(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02015
Web of Science Accession Number: 000322179400015
SCOPUS ID: 84878908710

Abstract
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Health care is facing major challenges and information technologies play an important role in disease management. Cost issues raised by many medical problems that society has to face involve a superior approach to the diagnosis of the diseases that characterize the modern world. In this paper, we suggest the implementation of a high definition video system in the early management of Parkinson's disease. The High-Definition Television Video System (HDTV) is designed to record suspicious patients, on their inhabitancy, in order to detect tremor and analyze its evolution. Also, after testing HDTV system functionality, an alternative method is proposed for video sequences assessing in order to eliminate uncertainty and provide an adequate telediagnosis.


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

[1] G. Grimaldi, M. Manto. Mechanisms and Emerging Therapies in Tremor Disorders. Springer, New York, pp. 3-10, 2013.

[2] A. Tsanas, M. A. Little, P. E. McSharry, L. O. Ramig, "Accurate telemonitoring of Parkinson's disease progression by non-invasive speech tests," IEEE Transactions on Biomedical Engineering, vol. 57, no. 4, pp. 884-893, 2010,
[CrossRef] [Web of Science Times Cited 388] [SCOPUS Times Cited 484]


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[6] S. Skodda, U. Schlegel, "Speech rate and rhythm in Parkinson's Disease," Movement Disorders, vol. 23, no. 7, pp. 985-992, 2008,
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[7] A. Tsanas, M. A. Little, P. E. McSharry, L. O. Ramig, "Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression," in Proc. International Conf. on Acoustics, Speech and Signal Processing, Dallas, USA, pp. 594-597, 14-19 March 2010,
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 60]


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[9] S. J. Winser, P. A. Kannan, "Case Study of Balance Rehabilitation in Parkinson's Disease," Global Journal of Health Science, vol. 3, no. 1, pp. 90-97, 2011.

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[CrossRef] [Web of Science Times Cited 2271] [SCOPUS Times Cited 2506]


[13] E. Tolosa, G. Wenning, W. Poewe, "The diagnosis of Parkinson's disease," The Lancet Neurology, vol. 5, no. 1, pp. 75-86, 2006,
[CrossRef] [Web of Science Times Cited 575] [SCOPUS Times Cited 659]


[14] D. B. Calne, B. J. Snow, C. Lee, "Criteria for diagnosing Parkinson's disease," Annals of Neurology, vol. 32, issue suppl. S1, pp. 125-127, 1992,
[CrossRef] [Web of Science Times Cited 460] [SCOPUS Times Cited 615]


[15] J. Good, "Fear of a White Coat - Tactics to Help Patients Overcome Anxiety," Mississippi Medical News, Balch & Bingham, Jackson, MS, 2012.

[16] P. Owens, N. Atkins, E. O'Brien, "Properly defining white coat hypertension," European Heart Journal, vol. 23, pp. 106-109, 2002,
[CrossRef] [Web of Science Times Cited 80] [SCOPUS Times Cited 87]


[17] S. Pohoata, O. Geman, A. Graur, "Dual tasking: gait and tremor in Parkinson's disease - acquisition, processing and clustering," in Proc. of the National Symposium of Theoretical Electrical Engineering, SNET 2012, Bucharest, Romania, 14 December, 2012.

[18] Z. Uhrikova, O. Sprdlik. V. Hlavac, E. Ruzicka, „Action tremor analysis from ordinary video sequence," in Proc. of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minnesota, Minneapolis, USA, pp. 6123-6126, 2-6 September, 2009,
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 14]


[19] E. D. Louis, G. Levy, L. J. Côte, H. Mejia, S. Fahn, K. Marder, „Diagnosing Parkinson's disease using videotaped neurological examinations: validity and factors that contribute to incorrect diagnoses," Journal Movement Disorders, vol. 17, no. 3, pp. 513-517, 2002.

[20] I. B. Singh, "HDTV: Technology and strategic positioning," Telematics and Informatics, vol. 8, no. 1-2, pp. 1-8, 1991,
[CrossRef] [SCOPUS Times Cited 3]


[21] Y. Q. Shi, H. Sun. Image and Video Compression for Multimedia Engineering, Second Edition. Taylor & Francis, CRC Press, Boca Raton, USA, pp. 435-459, 2008.

[22] M. Robin, M. Poulin. Digital Television Fundamentals: Design and Installation of Video and Audio Systems, Second Edition. McGraw-Hill, New York, USA, pp. 489-593, 2000.

[23] C. Poyton. Digital Video and HDTV. Algorithms and Interfaces. Morgan Kaufmann Publishers, Elsevier, San Francisco, USA, pp. 323-333, 2007.

[24] F. K. Ibrahim. Newnes Guide to Television & Video Technology. Elsevier, Oxford, UK, pp. 59-72, 298-300, 354-358, 2007.

[25] S. Winkler, "Visual fidelity and perceived quality: Towards comprehensive metrics," in Proc. SPIE Human Vision and Electronic Imaging, vol. 4299, San Jose, California, USA, pp. 114-125, 21-26 January, 2001.

[26] I. Avcibas, B. Sankur, K. Sayood, „Statistical evaluation of image quality measure," Journal of Electronic Imaging, vol. 11, no. 2, pp. 206-223, 2002.

[27] J. Synnott, L. Chen, C.D. Nugent, G. Moore, „Assessment and visualization of Parkinson's disease tremor," in Proc. of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), Corfu, Greece, pp.1-4, 3-5 November, 2010,
[CrossRef] [SCOPUS Times Cited 6]


[28] P. Zamperoni, "Image Enhancement," Advances in Imaging and Electron Physics, vol. 92, pp. 1-77, Academic Press, 1995.

[29] C. M. Salcedo, C. A. Pena, J. de Jesus Cerqueira, A. M. N. Lima, „Designing a Real Time Artificial Vision System for Human Interaction with an Omnidirectional Mobile Platform", in Proc. Of Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), Fortalezza, Brasil, pp. 21-26, 16-19 Oct. 2012,
[CrossRef] [SCOPUS Times Cited 4]


[30] H. Costin, C. Rotariu, "Medical image analysis and representation using a fuzzy and rule-based hybrid approach," International Journal of Computers, Communications & Control, pp. 156-162, 2006.

[31] H. Costin, C. Rotariu, "Tremor assessment by means of handscript analysis and fuzzy logic," Biomedical Softcomputing & Human Sciences Journal, vol. 7, no.1, pp. 39-45, 2001.

[32] O. Geman, C. O. Turcu, A. Graur, "A Fuzzy Expert Systems Design for Diagnosis of Parkinson's Disease," in Proc. of the IEEE International Conference - 2011 E-Health and Bioengineering Conference, EHB, Iasi, Romania, 24-26 Nov. 2011.

[33] O. Geman, "Data Processing for Parkinson's Disease Tremor, Speech and Gait Signal Analysis," in Proc. of the IEEE International Conference - 2011 E-Health and Bioengineering Conference, EHB, Iasi, Romania, 24-26 Nov. 2011.

[34] T. Zhang, G. Wei, Z. Yan, M. Ding, C. Li, H. Ding, S. Xu, „Quantitative assessment of Parkinson's disease deficits," Chinese Medical Journal (English), vol. 112, no. 9, pp. 812-815, 1999.

[35] M. Swider, "The application of video image processing to quantitative analysis of extremity tremor in humans," Journal of Neuroscience Methods, vol. 84, no. 1-2, pp. 167-172, 1998.



References Weight

Web of Science® Citations for all references: 4,227 TCR
SCOPUS® Citations for all references: 4,915 TCR

Web of Science® Average Citations per reference: 117 ACR
SCOPUS® Average Citations per reference: 137 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 2024-11-17 19:27 in 102 seconds.




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


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