|2/2017 - 4|
Healthcare IoT m-GreenCARDIO Remote Cardiac Monitoring System - Concept, Theory of Operation and ImplementationZAGAN, I. , GAITAN, V. G. , PETRARIU, A.-I. , BREZULIANU, A.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (2,984 KB) | Citation | Downloads: 907 | Views: 1,977|
internet of things, microcontrollers, personal area networks, public healthcare, bluetooth
systems(9), time(7), real(7), monitoring(7), cardiac(7), internet(6), computing(6), system(5), information(4), aina(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
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|
| 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. 264268, May 2016. |
[CrossRef] [SCOPUS Times Cited 5]
 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. 28742891, 2016.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 16]
 V. Madisetti and A. Bahga, "Internet of Things (A Hands-on-Approach)," pp. 2046, Aug. 2014. ISBN-10:0996025510, ISBN-13:978-0996025515
 P. Waher, "Learning Internet of Things," pp. 163168, Jan. 2015. ISBN-10: 1783553537, ISBN-13: 978-1783553532
 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. 331336, Apr. 2014.
[CrossRef] [SCOPUS Times Cited 13]
 https://physionet.org/physiobank/database/mitdb/, (Accessed: Mar. 2017).
 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. 347350, 2002.
[CrossRef] [SCOPUS Times Cited 6]
 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 50] [SCOPUS Times Cited 155]
 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. 356363, 2015.
[CrossRef] [Web of Science Times Cited 118] [SCOPUS Times Cited 180]
 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. 610614, May 2008.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]
 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. 976982, 6-8 Apr., 2016.
[CrossRef] [SCOPUS Times Cited 7]
 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. 994997, Mar. 2016.
[CrossRef] [Web of Science Times Cited 34] [SCOPUS Times Cited 48]
 http://greencardio.ro/, (Accessed: Feb. 2017).
 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. 205208, Dec. 2011.
[CrossRef] [SCOPUS Times Cited 13]
 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. 11051112, Mar. 2013.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]
 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.
 V. Zimmer, J. Sun, M. Jones, and S. Reinauer, "Embedded Firmware Solutions: Development Best Practices for the Internet of Things," 1st Edition, pp. 101103, Jan. 2015. ISBN-10: 1484200713
 http://www.nxp.com/assets/documents/data/en/data-sheets/MMA8452Q. pdf (Accesed on Feb 2017)
 https://datasheets.maximintegrated.com/en/ds/DS2411.pdf (Accessed on Feb. 2017).
 http://www.ti.com/lit/ds/symlink/bq24296.pdf (Accesed on Jan 2017)
 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.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 4]
 J. Yiu, "The Definitive Guide to ARM Cortex-M0 and Cortex-M0+ Processors," 2nd Edition, pp. 5764, Jun. 2015. ISBN-10: 0128032774
 Y. Zhu, "Embedded Systems with ARM Cortex-M3 Microcontrollers in Assembly Language and C," pp. 457464, Aug. 2014. ISBN-10: 0982692625, ISBN-13: 978-0982692622
 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 7] [SCOPUS Times Cited 6]
 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. 14, May 2014.
[CrossRef] [Web of Science Times Cited 43] [SCOPUS Times Cited 47]
 http://www.analog.com/media/en/technical-documentation/data-sheets/ADAS1000_1000-1_1000-2.pdf, (Accessed: Dec. 2016).
Web of Science® Citations for all references: 273 TCR
SCOPUS® Citations for all references: 506 TCR
Web of Science® Average Citations per reference: 10 ACR
SCOPUS® Average Citations per reference: 19 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 2020-11-23 04:40 in 95 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.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.