Advanced Methods and Tools for ECG Data Analysis - Part 1 ppt

... Library.ISBN -1 0 : 1- 5 805 3-9 6 6 -1 ISBN -1 3 : 97 8 -1 -5 805 3-9 6 6 -1 Cover design by Michael Moretti©2006 ARTECH HOUSE, INC.685 Canton StreetNorwood, MA 02062All rights reserved. Printed and bound in ... Contents 11 .9 Duration Modeling for Robust Segmentations 312 11 .10 Conclusions 316 References 316 CHAPTER 12 Supervised Learning Methods for ECG Classification/Neural Networks and SVM Approaches 319 12 .1 ... P1: ShashiAugust 24, 2006 11 :32 Chan-Horizon Azuaje˙Book Advanced Methods and Tools for ECG Data Analysis Gari D. CliffordFrancisco AzuajePatrick E. McSharryEditorsartechhouse.comP1:...

Advanced Methods and Tools for ECG Data Analysis - Part 7 ppt

... [%]74472 714 7544rn(N) [%] 77 54 37 27 21 19 18 16 r(N) [%]3 7 10 1 314 1 414 12⇑ST Segment Patterns,Human Annotator:rc(N) [%]74472 714 7544rn(N) [%] 74 48 29 21 15 12 11 10 r(N) [%] 012 78776⇑coefficients ... =−0. 515 0 .15 7 −0. 917 0.044 0 .16 4 1. 3870.882 0.098 1. 277 1. 213 0 .12 7 −0.6 01 1 .12 5 0 .12 7 −0.0860.8 31 0.076 0.2300.632 −0.235 0.0590.235 1. 066 −0 .13 2(8A .1) where ... matrix and given byT =−0 .17 2 −0.074 0 .12 2 0.2 31 0.239 0 .19 4 0 .15 6 −0. 010 0.057 −0. 019 −0 .10 6 −0.022 0.0 41 0.048 −0.227 0.887−0.229 −0. 310 −0.246 −0.063 0.055 0 .10 8 0.022 0 .10 2(8A.3)P1:...

Advanced Methods and Tools for ECG Data Analysis - Part 2 doc

... Q+P 10 0 19 01 1 0 0 0 0 0 0 0 0 0 10 0.00 10 0.00 10 1 15 21 0 1 4 0 0 0 0 0 0 1 99.93 99.74 10 3 17 25 0 0 1 0 0 0 0 4 0 0 99.77 99.94 10 5 211 7 29 4 13 3 0 0 0 0 4 0 1 99.77 94 .17 10 6 12 36 459 0 1 0 ... 0 0 1 0 99.94 99.94 10 8 14 61 13 2 257 0 0 0 0 4 0 0 99.73 85 .17 223 17 36 447 8 1 0 0 0 0 0 8 0 99.64 99.95228 12 25 300 0 49 0 0 0 0 17 6 2 0 89.55 96.89230 18 58 1 0 1 0 0 0 0 0 0 0 10 0.00 ... body (and heart).P1: ShashiAugust 24, 2006 11 :36 Chan-Horizon Azuaje˙Book2.5 ECG Acquisition Hardware 49also forms the basis for standards in many other countries including UL 6060 1- 1 for the...

Advanced Methods and Tools for ECG Data Analysis - Part 3 docx

... Vol. 10 1, No. 50, 2004, pp. 17 545 17 548. [11 0] Moody, G. B., ECG- Based Indices of Physical Activity,” Computers in Cardiology,No. 19 , 19 92, pp. 403–406. [11 1] Fukada, K., H. E. Stanley, and ... [87, 11 6], and WR is correlated with medium to high agitation (Riker) scores.P1: ShashiAugust 24, 2006 11 :39 Chan-Horizon Azuaje˙Book68 ECG Statistics, Noise, Artifacts, and Missing Data 3.5 .1 ... Multi-Lead ECGs,” Proc.Computers in Cardiology, IEEE Computer Society Press, 19 86, pp. 11 3 11 6. [11 6] Riker, R. R., J. T. Picard, and G. L. Fraser, “Prospective Evaluation of the Sedation-Agitation...

Advanced Methods and Tools for ECG Data Analysis - Part 4 ppsx

... http://www.physionet.org/physiotools/ecgsyn/.P1: ShashiAugust 24, 2006 11 :42 Chan-Horizon Azuaje˙Book 12 8 Models for ECG and RR Interval Processes [13 ] Ursino, M., A. Fiorenzi, and E. Belardinelli, “The ... Heart-RateVariability Part 1: Comparative Study of Heart-Rate Variability Analysis Methods, ”Med. Biol. Eng. & Comput., Vol. 15 , 19 77, pp. 239–252.P1: ShashiAugust 24, 2006 11 :42 Chan-Horizon ... filtering [11 9, 12 3], and classification [12 4]. However, the required com-plexity for realistic models (particularly for ECG generation) has limited the devel-opment of using model parameters for...

Advanced Methods and Tools for ECG Data Analysis - Part 5 pdf

... Figure 5.7).P1: ShashiAugust 30, 2006 11 :5 Chan-Horizon Azuaje˙Book5.4 Data- Determined Basis Functions 16 5Figure 5 .12 Ten seconds of data after ICA decomposition (see Figure 5 .11 ), and reconstructionwith ... Values and Matrix Approximations,” ApplikaceMatematiky, No. 13 , 19 68, pp. 44– 51. P1: ShashiAugust 30, 2006 11 :5 Chan-Horizon Azuaje˙Book 15 2 Linear Filtering Methods Figure 5.8 Layout of a D-p-D ... zeros for the unwanted sources, and reprojecting theP1: ShashiAugust 30, 2006 11 :5 Chan-Horizon Azuaje˙Book5.4 Data- Determined Basis Functions 15 1 data can in general be encoded in only p-dimensions...

Advanced Methods and Tools for ECG Data Analysis - Part 6 docx

... Vol. 65, 19 91, pp. 579– 616 . [14 ] Fraser, A. M., and H. L. Swinney, “Independent Coordinates for Strange Attractors fromMutual Information,” Phys. Rev. A, Vol. 33, 19 86, pp. 11 34 11 40. [15 ] Rosenstein, ... segments), defined as ECG beat An(i) = ECG beat2n(i) (7.5) ECG beat Bn(i) = ECG beat2n 1 (i) (7.6)P1: ShashiAugust 24, 2006 11 :48 Chan-Horizon Azuaje˙Book 218 ECG- Derived Respiratory ... η]†(6.28)P1: ShashiAugust 24, 2006 11 :46 Chan-Horizon Azuaje˙Book6.5 Model-Based Filtering 18 7Figure 6.6 Demonstration of ICA noise reduction for γ = 10 : (a) original noise-free ECG signal,...

Advanced Methods and Tools for ECG Data Analysis - Part 8 docx

... observationvalue O 1 from that particular state, that is,δ 1 (i) = πibi(O 1 ) (11 .12 )Equation (11 .11 ) can then be used to compute the value of δt(i) for each statei and for each time step ... pp. 10 6 11 1. [17 ] Maglaveras, N., et al., “An Adaptive Backpropagation Neural Network for Real-TimeIschemia Episodes Detection: Development and Performance Analysis Using the EuropeanST-T Database,” ... No. 7, 19 98, pp. 805– 813 . [18 ] Silipo, R., and C., Marchesi, “Artificial Neural Networks for Automatic ECG Analysis, ”IEEE Trans. on Signal Processing, Vol. 46, No. 5, 19 98, pp. 14 17 14 25. [19 ]...

Advanced Methods and Tools for ECG Data Analysis - Part 9 ppsx

... 200 1 0.50% 200 3 1. 5%F 3 71 3 0. 81% 370 10 2.70%j 11 7 3 2.56% 10 5 10 9.52%J 40 3 7.50% 39 4 10 .25%S 512 2 0.39% 512 3 0.58%Total 6,690 74 1. 83% 6,095 15 9 4.09%P1: ShashiAugust 24, 2006 11 :56 ... 5 1 0 8 376j 70000950002 000 10 4I 0 00 00 1 194 01 0 0 3 2 2 01 J 10 000003502 000 38L 2 0 1 0 0 0 0 0 483 1 0 0 5 492N 9 3 0 0 1 2 0 2 2 1, 956 1 0 0 1, 976R 4 00 20 0 0 10 1 3960 1 405S 1 ... 519 V 3 1 1 0 5 0 0 0 1 6 0 0 1, 214 1, 2 31 Total 418 64 200 50 370 10 5 200 39 500 2,000 400 512 1, 237 6,095P1: ShashiAugust 24, 2006 11 :55 Chan-Horizon Azuaje˙Book320 Supervised Learning Methods...

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

... 0. 61 V448 .11 8.07 6.99 10 .95 12 .19 6.58V 51 0.24 0.30 0.26 0.43 0.54 0.34V52 1. 04 1. 04 0.83 1. 11 1.52 1. 02V530.72 0.73 0.57 0.75 1. 05 1. 02V54 10 .37 9.63 8.39 12 .60 13 .07 7. 61 V 61 0 .14 ... 0.39V32 1. 24 1. 23 1. 04 1. 27 1. 63 1. 15V330.86 0.86 0.72 0.85 1. 12 0.80V34 12 .45 11 .40 10 .52 14 .35 13 .97 8.62V 41 0 .19 0.25 0. 21 0.37 0.50 0.29V420. 81 0.87 0.69 0.97 1. 42 0.88V430.56 0. 61 ... 0.04V 14 0.47 0.54 0.42 0. 51 0.44 0.47V 21 1.08 1. 24 1. 01 1.26 1. 31 1 .16 V224.55 4.22 3.27 3.25 3. 71 3.46V233 .16 2.97 2.24 2 .17 2.56 2. 41 V2445. 51 39.27 32.94 36.75 31. 92 25.94V 31 0.29...

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