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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: May 2019
Next issue: Aug 2019
Avg review time: 82 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

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 "BigData - " before the paper title in OpenConf.

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  2/2017 - 4

Healthcare IoT m-GreenCARDIO Remote Cardiac Monitoring System - Concept, Theory of Operation and Implementation

ZAGAN, I. See more information about ZAGAN, I. on SCOPUS See more information about ZAGAN, I. on IEEExplore See more information about ZAGAN, I. on Web of Science, GAITAN, V. G. See more information about  GAITAN, V. G. on SCOPUS See more information about  GAITAN, V. G. on SCOPUS See more information about GAITAN, V. G. on Web of Science, PETRARIU, A.-I. See more information about  PETRARIU, A.-I. on SCOPUS See more information about  PETRARIU, A.-I. on SCOPUS See more information about PETRARIU, A.-I. on Web of Science, BREZULIANU, A. See more information about BREZULIANU, A. on SCOPUS See more information about BREZULIANU, A. on SCOPUS See more information about BREZULIANU, A. 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 (2,984 KB) | Citation | Downloads: 594 | Views: 1,232

Author keywords
internet of things, microcontrollers, personal area networks, public healthcare, bluetooth

References keywords
systems(9), gaitan(9), time(7), real(7), monitoring(7), cardiac(7), internet(6), computing(6), system(5), information(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-05-31
Volume 17, Issue 2, Year 2017, On page(s): 23 - 30
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.02004
Web of Science Accession Number: 000405378100004
SCOPUS ID: 85020074813

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Present day Internet of Things (IoT) developers are inspired by the spectacular evolution in the field, and, at the same time, determined to connect an increasingly wider range of 'things', with the lowest power consumption, the wider range of action and interoperability guaranteed with excessive quality. Based on current challenges in the medical and electronic field, the present paper seeks the practical implementation of an efficient, low cost, low-power IoT medical system, yet with a greater memory autonomy. In this context, our main contribution is the implementation of a solution for ECG monitoring based on IoT techniques. This paper presents a qualitative research in the field of healthcare IoT and embedded applications meant to provide an innovative and flexible system meeting the stringent requirements of this area. Without compromising the performance intake and the low power consumption, the designers offer flexible options for connectivity and response time.

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

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[2] I. Ungurean, N. C. Gaitan, and V. G. Gaitan, "A Middleware Based Architecture for the Industrial Internet of Things," KSII Transactions on Internet and Information Systems, vol. 10, no. 7, pp. 2874–2891, 2016.
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[5] E. H. El Mimouni and M. Karim, "A MicroBlaze-based Multiprocessor System on Chip for real-time cardiac monitoring," 2014 International Conference on Multimedia Computing and Systems (ICMCS), Marrakech, pp. 331–336, Apr. 2014.
[CrossRef] [SCOPUS Times Cited 10]

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[8] Z. Yang, Q. Zhou, L. Lei, K. Zheng, and W. Xiang, "An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare", Journal of Medical Systems, Dec. 2016.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 52]

[9] T. N. Gia, M. Jiang, A. M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen, "Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction," in 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, Liverpool, pp. 356–363, 2015.
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[CrossRef] [SCOPUS Times Cited 12]

[15] J. Park, J. Lee, J. Ryu, H. Shin, S. Heu, and K. Kang, "Evaluating QoS of a Wireless System for Real-Time Cardiac Monitoring," 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), Barcelona, pp. 1105–1112, Mar. 2013.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 2]

[16] I. Zagan and V. G. Gaitan, "Portable Cardiac Monitoring System Based on Real-Time Microcontroller and Multiple Communication Interfaces," accepted for presentation in 19th International Conference on Advanced Computing Systems and Microarchitecture, Zurich, Switzerland, Sept. 2017, World Academy of Science, Engineering and Technology, International Journal of Electrical and Computer Engineering, vol. 4, no. 9, 2017.

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References Weight

Web of Science® Citations for all references: 149 TCR
SCOPUS® Citations for all references: 252 TCR

Web of Science® Average Citations per reference: 6 ACR
SCOPUS® Average Citations per reference: 9 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 2019-06-15 13:14 in 102 seconds.

Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
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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