Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


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Editorial Advisory Board's Chair
William Lesso

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org

 

Editorial Advisory Board

Journal's Reviewers
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology


A Proposed Model for Tracking the University Interdisciplinary Projects
Rafael Melgarejo, Paulina Cadena
(pages: 1-2)

Enhancing Teaching, Adaptability and Presentation Skills through Improvisational Theater
Thomas J. Marlowe
(pages: 3-7)

Interprofessional Collaborative Practice to Improve Patient Outcomes: A Pilot Study
Jennifer Styron, Catherine Dearman, Sheila Whitworth, Henrietta Brown
(pages: 8-13)

Using a Common Pedagogy across Multiple Disciplines to Improve Student Learning
Ronald A. Styron, Jr., Jennifer L. Styron
(pages: 14-16)

Enhancing Writing through Strengthened Executive Function
Russell Jay Hendel
(pages: 17-22)

Using Interdisciplinary and Active Research to Encourage Higher Resolution Research and Prototyping in Design
Adream Blair-Early, Frankie Flood
(pages: 23-27)

Integration of Education: Using Social Media Networks to Engage Students
Risa Blair, Tina M. Serafini
(pages: 28-31)

Management, Resources and Reproductive Biology
Bernard Wallner, Martin Fieder
(pages: 32-33)

Effectiveness and Utility of a Case-Based Model for Delivering Engineering Ethics Professional Development Units
Heidi Ann Hahn
(pages: 34-39)

Informing via Research: Methods, Challenges and Success when Using a Multi-Disciplinary Team and Reverse Engineering Analysis Processes to Answer a 200 Year Old Question
Melinda H. Connor, Sallyanne Payton
(pages: 40-47)


 

Abstracts

 


ABSTRACT


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.

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