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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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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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  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
 
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 (672 KB) | Citation | Downloads: 348 | Views: 1,972

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

References keywords
parkinson(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

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[CrossRef] [Web of Science Times Cited 218] [SCOPUS Times Cited 258]


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[CrossRef] [Web of Science Times Cited 281] [SCOPUS Times Cited 515]


[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 51] [SCOPUS Times Cited 65]


[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 2] [SCOPUS Times Cited 5]


[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.

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[CrossRef]


[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.

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[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.

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[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 3]


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[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 2]


[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.

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[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: 2,238 TCR
SCOPUS® Citations for all references: 2,764 TCR

Web of Science® Average Citations per reference: 62 ACR
SCOPUS® Average Citations per reference: 77 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 2017-04-23 07:50 in 99 seconds.




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


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