Image Processing Reference
In-Depth Information
Apply wavelets in the design and implementation of filtering algorithms and detector
of waveforms.
Analyze other techniques for detection of parameters like, fuzzy logic, genetic
approaches and neural networks.
Make use of information technologies, such as a database in order to obtain relevant
information of the patients and their pathologies.
Finally, this work is a good demonstration of the potential applications of Hardware -
Software, especially in the field of biotechnology. The quantity and quality of the possible
future works show the validity of the affirmation in academic and professional aspects. In
addition to the likely use of this work in medical settings, it also gives account of the scope
of works such as ECG digital, which are practically limitless.
6. Acknowledgment
To Dr. David Cuesta of the Universidad Politécnica de Valencia for his valuable
contributions and excellent disposition to the authors of this work; to cardiologist Dr.
Patricio Maragaño, director of the Regional Hospital of Talca's Cardiology department, for
his clinical assessment and technical recommendations for the development of the
algorithmic procedures undertaken.
7. References
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Volume 294, No 1 , (October 2007), H1-H10, Maryland, USA.
Cuesta, D. (September 2001). Estudio de Métodos para Procesamiento y Agrupación de
Señales Electrocardiográficas. Doctoral Thesis , Department of Systems Data Processing
and Computers (DISCA) , Polytechnic University of Valencia , Valencia, Spain.
Dubin, D. (August 1976). Electrocardiografía Práctica : Lesión, Trasado e Interpretación, McGraw
Hill Interamericana, 3rd edition, ISBN 978-968-2500-824, Madrid, Spain
Goldschlager, N. (June 1989). Principles of Clinical Electrocardiographic, Appleton & Lange,
13th edition, ISBN 978-083-8579-510, Connecticut, USA
Friesen, G. M.; Janett, T.C.; Jadallah, M.A.; Yates, S.L.; Quint, S. R.; Nagle, H. T. (1990). A
Comparison of the Noise Sensitivity of Nine QRS Detection Algorithms, IEEE
Transactions on Biomedical Engineering , Vol.31, No.1, (January 1990), pp. 85-98., ISSN
0018-9294
Hamilton, P. S.; Tompkins, W. J. (1986). Quantitative Investigation of QRS Detection Rules
Using MIT/BIH Arrhythmia Database, IEEE Transactions on Biomedical Engineering ,
Vol.31, No.3, (March 2007), pp. 1157-1165, ISSN 0018-9294
Kohler, B. -U.; Henning, C.; Orglmeister, R. (2002). The Principles of Software QRS
Detection, IEEE Engineering in Medicine and Biology , Vol.21, No.1, (January-
February 2002), pp. 42-57, ISSN 0739-5175
IEEE Transactions on Biomedical Engineering , Vol.31, No.11, (November 1984), pp. 702-706,
ISSN 0018-9294
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