Advanced Methods and Tools for ECG Data Analysis - Part 10 pps

... (XML) for representing ECG information. ecgML [65], a markup language for ECG data acquisition and analy- sis, has been designed to illustrate the advantages offered by XML for supporting data ... Learning for ECG Classification Table 13.4 Validity Indices for ECG Beat and Sleep Apnea Data Sets Based on the Resulting GSOM Maps in Figures 13.12 and 13.13 ECG Bea...

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... [29, 108 ], compres- sion and filtering [119, 123], and classification [124]. However, the required com- plexity for realistic models (particularly for ECG generation) has limited the devel- opment ... Models for ECG and RR Interval Processes Figure 4 .10 Example of a 12-lead version of ECGSYN, produced for [120] by Dr. Guy Roussel of the American Board of Family Practice....

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... automated ECG interval analysis systems are unable to differentiate be- tween normal ECG waveforms (for which the automated annotations are generally reliable) and abnormal or unusual ECG waveforms (for ... in sig- nals belonging to different clinical classes. This is, for example, observed in ECG waveforms contained in the MIT-BIH Arrhythmia Database [9]. In this database the...

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... Chan-Horizon Azuaje˙Book Advanced Methods and Tools for ECG Data Analysis Gari D. Clifford Francisco Azuaje Patrick E. McSharry Editors artechhouse.com P1: Shashi August 24, 2006 11:32 Chan-Horizon ... Library. ISBN -1 0: 1-5 805 3-9 6 6-1 ISBN-13: 97 8-1 -5 805 3-9 6 6-1 Cover design by Michael Moretti © 2006 ARTECH HOUSE, INC. 685 Canton Street Norwood, MA 020...

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... include: • What are the data going to be used for? • Are the data format and libraries extensible? • Is the data format compact? • Are the libraries open-source? • Do the libraries and format support ... annotations? • Is the format widely accepted (and well tested)? • Can I easily (and verifiably) de-identify my data using this format? • Are the libraries for reading and...

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... still performed in the Fourier do- main. Other methods for performing spectral estimation from irregularly sampled data do exist and include the min-max interpolation method [75] and the well- known ... Estima- tion Using the Karhunen-Lo ` eve Transform,” Computers in Cardiology, Vol. 16, 1989, pp. 269–272. [29] Mark, R. G., and G. B. Moody, ECG Arrhythmia Analysis: Design and...

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... H., and H. Heinrich, Analysis of ECG Late Potentials Using Time-Frequency Methods, ” in M. Akay, (ed.), Time Frequency and Wavelets in Biomedical Signal Process- ing, Chapter 4, New York: Wiley-IEEE ... 269–272. [17] Mark, R. G., and G. B. Moody, ECG Arrhythmia Analysis: Design and Evaluation Strate- gies,” Chapter 18 in I. Gath and G. F. Inbar, (eds.), Advances in Processing...

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... classified TWA de- tection into preprocessing, data reduction, and analysis stages. This section focuses upon the strengths and limitations of TWA analysis methods, broadly compris- ing short-term Fourier ... [10] . 7.2 Phenomenology of T-Wave Alternans Detecting TWA from the surface ECG exemplifies a bench-to-bedside bioengineer- ing solution to tissue-level and clinical obser...

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... which are visually informative and accessible for analysis at any time instant. Therefore, a technique which converts such point event series into a form suitable for standard analysis techniques ... time se- ries contains scatter due to beat-by-beat measurement jitter and due to erroneous measurements which manifest as outliers. Figure 9.6 shows the time-domain and KLT-based di...

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... normal ECG waveform, and hence a greater degree of robustness in the waveform segmentations. 11.5 Data Collection In order to develop an automated system for ECG interval analysis, we collected a data ... typically requires more computing power (for the same level of processing performance) compared with standard algorithms. For the analysis of 1 0- second 12-lead ECG sig...

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