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ISSN: 1690-4524
Indexed by
EBSCO, Cabell, DOAJ (Directory of Open Access Journals), and Google Scholar
Listed in
Cabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory
Full versions of all published articles are permanently archived in WebCite
www.WebCitation.org
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The Role of Librarians in Academic Success
Claudia J. Dold
(pages: 1-5)
Critical Thinking, Transfer, and Student Satisfaction
Joanne R. Reid, Phyllis R. Anderson
(pages: 6-11)
Plan-for-Gov[IT] - Planning for Governance of IT Method: use of the Techniques of “Text Retrieval” for
mapping the expected support needs from IT Area to serve of the Corporation’s Core-Business
expectations
Altino José Mentzingen De Moraes
(pages: 12-17)
A Biometric for Neurobiology of Influence with
Social Informatics Using Game Theory
Mark Rahmes, Kathy Wilder, George Lemieux, Ronda Henning, Carey Balaban
(pages: 18-25)
Development of an Electromechanical Ground Support System for NASA’s Payload
Transfer Operations: A Case Study of Multidisciplinary Work in the Space Shuttle
Program
Felix A. Soto Toro, Chan Ham
(pages: 26-34)
Processing Incomplete Query Specifications in a Context-Dependent Reasoning Framework
Neli P. Zlatareva
(pages: 35-40)
Multi-SOM: an Algorithm for High-Dimensional,
Small Size Datasets
Shen Lu, Richard S. Segall
(pages: 41-46)
Exploring the Effectiveness of Interdisciplinary Instruction on Learning: A Case Study in a College Level Course on Culture, Aid, and Engineering
Timothy Frank, J. R. Aldred, Alice Meyer
(pages: 47-53)
Cognitive Connected Vehicle Information System Design Requirement for Safety: Role of Bayesian Artificial Intelligence
Ata Khan
(pages: 54-59)
Pattern-Based Development of Enterprise Systems:
from Conceptual Framework to Series of Implementations
Sergey V. Zykov
(pages: 60-64)
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ABSTRACT |
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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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