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JCR Impact Factor: 0.650
JCR 5-Year IF: 0.639
Issues per year: 4
Current issue: Feb 2020
Next issue: May 2020
Avg review time: 72 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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Supporting Location Transparent Services in a Mobile Edge Computing Environment, GILLY, K., FILIPOSKA, S., MISHEV, A.
Issue 4/2018



Starting on the 15th of December 2019 all paper authors are required to enter their SCOPUS IDs. You may use the free SCOPUS ID lookup form to find yours in case you don't remember it.

Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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Search results for: electrocardiogram signal

13 results found containing all search terms.

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Year: 2010, Volume: 10, Issue: 4
... PHYSCON 2009, Catania, Italia, Paper ID 262, Procceding IEEE, 1-4 electrocardiograms," IEEE Trans. on Biomedical Engineering, vol. Septembrie 2009 44 ... the distortion of the reconstructed dictionaries for ECG compressed sensing (CS). The signal with respect to the original one is of paramount dictionaries were built using normal ...
Terms matched: 2  -  Score: 139  -  1,816k
Year: 2014, Volume: 14, Number: 3
... conductivity, skin The stress inducing method is based on the Trier social temperature, electrocardiogram, respiration rate and stress test [12] and it consists of a ... series of parameters (skin sweat glands influence the skin conductivity according to conductance response signal power, skin conductance response signal frequency, skin conductance level gradient, response ...
Terms matched: 2  -  Score: 126  -  936k
Year: 2009, Volume: 9, Issue: 3
... Computer Engineering Volume 9, Number 3, 2009 An Efficient Technique for Classification of Electrocardiogram Signals Ataollah EBRAHIMZADEH, Ali KHAZAEE Faculty of Electrical and Computer Engineering, Islamic ... , Iran Abstract Ô€” This work describes a Radial Basis Function spread parameter value for functions of those neural (RBF) neural network method used to ...
Terms matched: 2  -  Score: 124  -  473k
Year: 2012, Volume: 12, Number: 4
... Atienza, "A Real-Time Compressed Sensing-Based Personal technique of compressed sensing with the mutually Electrocardiogram Monitoring System", in Proc. Design, Automation dependent character of the ... [11]. However, for compressive sensing techniques for the acquisition and EEG signals a hardware system to capitalize the advantages reconstruction of EEG signals containing the evoked ...
Terms matched: 2  -  Score: 121  -  608k
Year: 2018, Volume: 18, Number: 4
... are based on a physiological Potential approach for minimizing power dissipation of dataset, where electrocardiogram and electro dermal activity battery-operated devices in remote healthcare monitoring is signals were collected ... Abstract Ô€” Recent advances in the development of wearable storage and analysis of the physiological signals. The sensors and smartphones open up opportunities for executing integration of WS and ...
Terms matched: 2  -  Score: 116  -  1,609k
Year: 2018, Volume: 18, Number: 2
... . INTRODUCTION Bio-potential Amplitude Baseband range frequency Recent trends in the semiconductor industry guide the Electrocardiogram (ECG) 100╬╝V- 10mV 0.05Hz- 100Hz circuit development process towards low-power ... the human body [3]. equipment benefits from low-power and low-voltage circuit Although signal processing in bio-medical monitoring techniques for reduced battery size and battery, or even ...
Terms matched: 2  -  Score: 82  -  1,230k
Year: 2011, Volume: 11, Number: 3
... ], or by introducing a parameter to penalize higher weight amplitudes during the The electrocardiogram (ECG) is one of the most phase of gradient calculation [3 ... Computer Engineering Volume 11, Number 3, 2011 Fault Tolerant Neural Network for ECG Signal Classification Systems Mostefa MERAH1, 2, Abdelazziz OUAMRI2, Amine NA├Ć T-ALI1, ...
Terms matched: 2  -  Score: 76  -  1,812k
Year: 2017, Volume: 17, Number: 2
... The complete exploitation of IoT strategies requires much more than the local use of an electrocardiogram (ECG) sensor by the microcontroller. It requires a software, an ... the ECG. Based on these tests and preliminary the system, the real-time ECG signals being collected with results, in section V is described the software architecture satisfactory ...
Terms matched: 2  -  Score: 75  -  2,915k
Year: 2013, Volume: 13, Number: 1
... . Zanelli, and A. Giordano., "Telecardiology: One-lead 9. electrocardiogram monitoring and nurse triage in chronic heart [21] C. Rotariu, ... HR is continuously computed from the Unfortunately, data processing and analysis are performed electrocardiographic signals using custom developed devices. offline, making these devices impractical for continual These ...
Terms matched: 2  -  Score: 53  -  972k
Year: 2017, Volume: 17, Number: 2
... is the monitoring of the embedded device in order to meet the requirements of the electrocardiogram (ECG). An ECG monitoring system current architecture and to be as ... environment. various medical parameters or wearable devices that allow real-time monitoring of the medical signals. The data are In the last decade, the IoT concept developed strongly ...
Terms matched: 2  -  Score: 53  -  1,352k
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