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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2017
Next issue: Aug 2017
Avg review time: 76 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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FEATURED ARTICLE

Broken Bar Fault Detection in IM Operating Under No-Load Condition, RELJIC, D., JERKAN, D., MARCETIC, D., OROS, D.
Issue 4/2016

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LATEST NEWS

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.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
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.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

Read More »


    
 

  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 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 (2,984 KB) | Citation | Downloads: 62 | Views: 59

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
SCOPUS ID: 85020074813

Abstract
Quick view
Full text preview
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

[1] G. Corotinschi, V. G. Gaitan, "The development of IoT applications using old hardware equipment and virtual TEDS," in 13rt International Conference on Development and Application Systems – DAS, Suceava, Romania, pp. 264–268, May 2016.
[CrossRef] [SCOPUS Times Cited 1]


[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.
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 2]


[3] V. Madisetti and A. Bahga, "Internet of Things (A Hands-on-Approach)," pp. 20–46, Aug. 2014. ISBN-10:0996025510, ISBN-13:978-0996025515

[4] P. Waher, "Learning Internet of Things," pp. 163–168, Jan. 2015. ISBN-10: 1783553537, ISBN-13: 978-1783553532

[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 4]


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[7] F. Chiarugi, M. Spanakis, P. J. Lees, C. E. Chronaki, M. Tsiknakis, A. Traganitis, and S. C. Orphanoudakis, "Real-time cardiac monitoring over a regional health network: preliminary results from initial field testing," Computers in Cardiology, pp. 347–350, 2002.
[CrossRef]


[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 Record] [SCOPUS Times Cited 2]


[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.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 9]


[10] Z. Xu and Z. Fang, "A Clustered Real-Time Remote Monitoring System for Out-of-Hospital Cardiac Patients," in International Conference on BioMedical Engineering and Informatics, Sanya, pp. 610–614, May 2008.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 3]


[11] K. U. Nigam, A. A. Chavan, S. S. Ghatule, and V. M. Barkade, "IOT-BEAT: An intelligent nurse for the cardiac patient," in 2016 International Conference on Communication and Signal Processing – ICCSP, Melmaruvathur, pp. 976–982, 6-8 Apr., 2016.
[CrossRef] [SCOPUS Times Cited 1]


[12] A. Ukil, S. Bandyoapdhyay, C. Puri, and A. Pal, "IoT Healthcare Analytics: The Importance of Anomaly Detection," in IEEE 30th International Conference on Advanced Information Networking and Applications – AINA, Crans-Montana, pp. 994–997, Mar. 2016.
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 5]


[13] http://greencardio.ro/, (Accessed: Feb. 2017).

[14] D. R. Zhang, C. J. Deepu, X. Y. Xu, and Y. Lian, "A wireless ecg plaster for real-time cardiac health monitoring in body sensor networks," 2011 IEEE Biomedical Circuits and Systems Conference (BioCAS), San Diego, CA, pp. 205–208, Dec. 2011.
[CrossRef] [SCOPUS Times Cited 9]


[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 Record] [SCOPUS Times Cited 1]


[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.

[17] V. Zimmer, J. Sun, M. Jones, and S. Reinauer, "Embedded Firmware Solutions: Development Best Practices for the Internet of Things," 1st Edition, pp. 101–103, Jan. 2015. ISBN-10: 1484200713

[18] http://www.nxp.com/assets/documents/data/en/data-sheets/MMA8452Q. pdf (Accesed on Feb 2017)

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[21] N. C. Gaitan, V. G. Gaitan, I. Ungurean, and I. Zagan, "Methods to Improve the Performances of the Real-Time Operating Systems for Small Microcontrollers," in 2015 20th International Conference on Control Systems and Computer Science – CSCS, Bucharest, Romania, pp. 261- 266, May 2015.
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[22] J. Yiu, "The Definitive Guide to ARM Cortex-M0 and Cortex-M0+ Processors," 2nd Edition, pp. 57–64, Jun. 2015. ISBN-10: 0128032774

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[24] I. Zagan, V. G. Gaitan, "Improving the Performances of the nMPRA Processor using a Custom Interrupt Management Scheduling Policy," Advances in Electrical and Computer Engineering, vol.16, no.4, pp.45-50, 2016.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[25] I. Ungurean, N. C. Gaitan, and V. G. Gaitan, "An IoT architecture for things from industrial environment," 10th International Conference on Communications (COMM), Bucharest, pp. 1–4, May 2014.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 7]


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References Weight

Web of Science® Citations for all references: 16 TCR
SCOPUS® Citations for all references: 48 TCR

Web of Science® Average Citations per reference: 1 ACR
SCOPUS® Average Citations per reference: 2 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 2017-06-26 11:50 in 102 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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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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