Journal of
Systemics, Cybernetics and Informatics

ISSN: 1690-4524 (Online)

Indexed by
EBSCO, Cabell, DOAJ (Directory of Open Access Journals), Academic Journals Database, and Google Scholar

Listed in
Cabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory

Re-Published in
(A Community of about 40.000.000 Academics)

Editorial Advisory Board's Chair
William Lesso

Nagib C. Callaos

Sponsored by
The International Institute of
Informatics and Systemics


Editorial Advisory Board

Journal's Reviewers

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes

Culture Propels the Intersection of Ethos, Pathos, and Logos with Innovation and Entrepreneurship
Marta Szabo White
(pages: 1-6)

INTUITEL and the Hypercube Model - Developing Adaptive Learning Environments
Kevin Fuchs, Peter A. Henning, Mutfried Hartmann
(pages: 7-11)

Baseline Study: Online Oil, Gas and Safety Technology Education for Ohio Residents of a Community Based Corrections Facility
George Ash, Alexis Benner
(pages: 12-13)

Causal Bayes Model of Mathematical Competence in Kindergarten
Božidar Tepeš, Gordana Lešin, Ana Hrkac, Krunoslav Tepeš
(pages: 14-17)

Change Requires Change! Information Technology, Student Preparedness and Industry Collaboration: Supporting the Bridging Process between Education and Training with Innovative Solutions
Jill Anne O’Sullivan
(pages: 18-21)

Virtual Learning Environment for Entrepreneurship: A Conceptual Model
Douglas Sparkes, Karin Schmidlin, Mark Hsu
(pages: 22-24)

Student Teachers’ Modeling of Acceleration Using a Video-Based Laboratory in Physics Education: A Multimodal Case Study
Louis Trudel, Abdeljalil Métioui, Gilbert Arbez
(pages: 25-30)

Effectiveness of a Constructivistic Multimedia-Learning Package on Shaping and Guiding Students’ Attitudes Toward Physics
Divya C. Senan, Matthew E. Edwards, Salam Khan, Asha J. Vilasini
(pages: 31-37)

A Preliminary Study of Pelletized Ecuadorian Cocoa Pod Husk for its Use as a Source of Renewable Energy
Luis Velázquez-Araque, José Cárdenas
(pages: 38-42)

Combination of Bayesian and Latent Semantic Analysis with Domain Specific Knowledge
Shen Lu, Richard S. Segall
(pages: 43-50)

Impact of Optimization and Parallelism on Factorization Speed of SIQS
Dominik Breitenbacher, Ivan Homoliak, Jiri Jaros, Petr Hanacek
(pages: 51-58)

Searching the Web for Earth Science Data: Semiotics to Cybernetics and Back
Bruce R. Barkstrom
(pages: 59-63)

Hybrid Optical Devices: The Case of the Unification of the Electrochromic Device and the Organic Solar Cell
Andre F. S. Guedes, Vilmar P. Guedes, Simone Tartari, Mônica L. Souza, Idaulo J. Cunha
(pages: 64-67)

An Organizational-Technical Concept to Deal with Open Source Software License Terms
Sergius Dyck, Daniel Haferkorn, Jennifer Sander
(pages: 68-73)

Implementing a Hybrid Graduate Program: Lessons Learned One Year Later
Ronda Sturgill, Jacob Wilson, J. C. Andersen
(pages: 74-76)

Creating the Economy of Virtuality: Systemic Aspects and Educational Considerations
Julio Rezende
(pages: 77-83)

Educational Software for the Teaching and Learning of Quadrilaterals Generated from a Programming Language and the Dabeja Method (Invited Paper)
Daniel Bejarano Segura, Piedad Chica Sosa
(pages: 84-89)





An Algorithm for Filtering Electrocardiograms to Improve Nonlinear Feature Extraction

Mohammad Bahmanyar, Wamadeva Balachandran

This paper introduces an algorithm for removing high frequency noise components from electrocardiograms (ECGs) based on Savitzky-Golay finite duration impulse response (FIR) smoothing filter. The peaks of R waves and the points at which Q waves end and S waves start are detected for all beats. These points are used to separate the low amplitude parts of the ECG in each beat, which are most affected by high frequency noise. The Savitzky-Golay smoothing algorithm is then applied to these parts of the ECG and the resultant filtered signals are added back to their corresponding QRS parts. The effect of high frequency noise removal on nonlinear features such as largest Lyapunov exponent and minimum embedding dimension is also investigated. Performance of the filter has been compared with an equiripple low pass filter and wavelet de-noising.

Full Text