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JCR Impact Factor: 0.595
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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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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
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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.

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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.

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  1/2013 - 16
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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
 
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 (995 KB) | Citation | Downloads: 505 | Views: 2,355

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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Full text preview
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  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 3,283 TCR
SCOPUS® Citations for all references: 4,751 TCR

Web of Science® Average Citations per reference: 106 ACR
SCOPUS® Average Citations per reference: 153 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 2017-09-20 16:22 in 97 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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