By Jarosław Wasilewski, Lech Poloński (auth.), Adam Gacek, Witold Pedrycz (eds.)
The ebook exhibits how a few of the paradigms of computational intelligence, hired both singly or together, can produce a good constitution for acquiring frequently very important details from ECG signs. The textual content is self-contained, addressing strategies, technique, algorithms, and case reports and purposes, offering the reader with the required history augmented with step by step clarification of the extra complicated recommendations. it truly is established in 3 elements: half I covers the elemental rules of computational intelligence including the correct rules of knowledge acquisition, morphology and use in prognosis; half II offers with thoughts and versions of computational intelligence which are appropriate for sign processing; and half III information ECG system-diagnostic interpretation and data acquisition architectures. Illustrative fabric comprises: short numerical experiments; exact schemes, routines and extra complex problems.
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Additional info for ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence
1997; Wei et al. 2001), and information granulation (Gacek and Pedrycz 2006). 5 A Detection of P-QRS-T Complex – A Region of Interest A characteristic feature of ECG signal comes with a cyclic occurrence of its components consisting of the P-QRS-T complex. The ECG signal in this region is reflective of performance of the conduction system of the heart that pertains to a single heart evolution involving contraction of atria and ventricles. This part of the ECG signal forms a region of interest (ROI) as it contains the most essential diagnostic information.
Information granulation has been regarded as one of the interesting and promising alternatives with this regard; in essence the methods arising there could be sought as a certain way of realization of data compression. An overall process of ECG signal processing and analysis comprises the following phases, refer to Fig. 3 Signal amplification A/C conversion 2 An Introduction to ECG Signal Processing and Analysis 29 Fig. 1 Amplification of ECG Signals Depending upon the needs, ECG signals can be registered from various parts of the body.
Biomed. Eng. : Body movement activity recognition for ambulatory cardiac monitoring. IEEE Trans. Biomed. Eng. : Learning of fuzzy automata. Int. J. Comput. Intell. Appl. : Information granulation and signal quantization. : Temporal granulation and its application to signal analysis. Inform. Sci. : Information granulation for concept formation. Proceedings of ACM Symposium on Applied Computing, vol. 1, 19–21 March 2000, Villa Como, pp. : Feature extraction in computerized approach to the ECG analysis.