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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
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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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Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

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  1/2013 - 16
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 HIGH-IMPACT PAPER 

Integrated System Based on Wireless Sensors Network for Cardiac Arrhythmia Monitoring

ROTARIU, C. See more information about ROTARIU, C. on SCOPUS See more information about ROTARIU, C. on IEEExplore See more information about ROTARIU, C. on Web of Science, MANTA, V. See more information about  MANTA, V. on SCOPUS See more information about  MANTA, V. on SCOPUS See more information about MANTA, V. on Web of Science, CIOBOTARIU, R. See more information about CIOBOTARIU, R. on SCOPUS See more information about CIOBOTARIU, R. on SCOPUS See more information about CIOBOTARIU, R. on Web of Science
 
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Download PDF pdficon (995 KB) | Citation | Downloads: 1,259 | Views: 4,948

Author keywords
cardiac arrhythmia, heart rate detector, low power microcontrollers, remote patient monitoring, wireless sensors network

References keywords
monitoring(11), system(10), rotariu(7), costin(6), sensor(5), heart(5), biomedical(5), network(4), mobile(4), medical(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-02-28
Volume 13, Issue 1, Year 2013, On page(s): 95 - 100
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.01016
Web of Science Accession Number: 000315768300016
SCOPUS ID: 84875320731

Abstract
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This paper describes the research carried out for designing and producing an integrated system for monitoring patients suffering from cardiac arrhythmias. Our system is based on a wireless sensors network (WSN) and can be used in hospital or at home. It is able to measure and transmit the patient's heart rate (HR) by radio to a central telemonitoring station. The HR is continuously computed from the electrocardiographic signals using custom developed devices. These devices are attached to the patient and are based on low power microcontrollers and wireless transceivers. The data is uploaded through WSN on the central telemonitoring station. The software running on the telemonitoring station receives the HRs from monitored patients through WSN, displays them as temporal waveforms and activates the alerts when HR arrhythmia is detected. An experimental system for cardiac arrhythmia has been designed, implemented and tested.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 11
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Cited-By CrossRef

[1] The Determination of Absorption and Reduced Scattering Coefficients of Optical Phantoms Using a Frequency-Domain Multi-Distance Method in a Non-contact Manner, BAL, U., UTZINGER, U., BAL, A., MORAL, O. T., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.02001
[CrossRef] [Full text]

[2] Energy-efficient clustering method for wireless sensor networks using modified gravitational search algorithm, Ebrahimi Mood, Sepehr, Javidi, Mohammad Masoud, Evolving Systems, ISSN 1868-6478, Issue 4, Volume 11, 2020.
Digital Object Identifier: 10.1007/s12530-019-09264-x
[CrossRef]

[3] A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique, Dhinakaran, M., Phasinam, Khongdet, Alanya-Beltran, Joel, Srivastava, Kingshuk, Babu, D. Vijendra, Singh, Sitesh Kumar, Khan, Rijwan, Journal of Food Quality, ISSN 1745-4557, Issue , 2022.
Digital Object Identifier: 10.1155/2022/6274092
[CrossRef]

[4] THWSN: Enhanced Energy-Efficient Clustering Approach for Three-Tier Heterogeneous Wireless Sensor Networks, Kumar, Nitin, Rani, Preeti, Kumar, Vinod, Athawale, Shashikant V., Koundal, Deepika, IEEE Sensors Journal, ISSN 1530-437X, Issue 20, Volume 22, 2022.
Digital Object Identifier: 10.1109/JSEN.2022.3200597
[CrossRef]

[5] A Proposal for Cardiac Arrhythmia Classification using Complexity Measures, AROTARITEI, D., COSTIN, H., PASARICA, A., ROTARIU, C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.03004
[CrossRef] [Full text]

[6] PREVENTION OF PRESSURE ULCERS AND INCONTINENCE-ASSOCIATED DERMATITIS IN HOME HOSPITALIZATION OF OLDER ADULTS, Ribon, Julio R., Martin Monroy, R., Plinio Puello, M., Indian Journal of Science and Technology, ISSN 0974-5645, Issue 1, Volume 11, 2018.
Digital Object Identifier: 10.17485/ijst/2018/v11i1/117509
[CrossRef]

[7] A Programmable Biopotential Aquisition Front-end with a Resistance-free Current-balancing Instrumentation Amplifier, FARAGO, P., GROZA, R., HINTEA, S., SOSER, P., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 18, 2018.
Digital Object Identifier: 10.4316/AECE.2018.02011
[CrossRef] [Full text]

[8] The design and implementation of a GSM based user-machine interacted refrigerator, Guruler, Huseyin, 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), ISBN 978-1-4673-7751-5, 2015.
Digital Object Identifier: 10.1109/INISTA.2015.7276719
[CrossRef]

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