Advanced Methods and Tools for ECG Data Analysis - Part 5 pdf
Advanced Methods and Tools for ECG Data Analysis - Part 5 pdf
... Figure 5. 7).
P1: Shashi
August 30, 2006 11 :5 Chan-Horizon Azuaje˙Book
5. 4 Data- Determined Basis Functions 1 65
Figure 5. 12 Ten seconds of data after ICA decomposition (see Figure 5. 11), and reconstruction
with ... pp. 44 51 .
P1: Shashi
August 30, 2006 11 :5 Chan-Horizon Azuaje˙Book
152 Linear Filtering Methods
Figure 5. 8 Layout of a D-p-D auto-associative neural networ...
Advanced Methods and Tools for ECG Data Analysis - Part 1 ppt
... Library.
ISBN-10: 1 -5 8 05 3-9 6 6-1
ISBN-13: 97 8-1 -5 8 05 3-9 6 6-1
Cover design by Michael Moretti
©
2006 ARTECH HOUSE, INC.
6 85 Canton Street
Norwood, MA 02062
All rights reserved. Printed and bound in ... of Data Libraries 35
2.4 Database Analysis An Example Using WFDB 37
2 .5 ECG Acquisition Hardware 41
2 .5. 1 Single-Channel Architecture 41
2 .5. 2 Isolation...
Advanced Methods and Tools for ECG Data Analysis - Part 2 doc
... 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...
Advanced Methods and Tools for ECG Data Analysis - Part 3 docx
... 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 ... NREM
LF
HF
-ratio values
of between 2 and 3 .5 and between 3 .5 and 5. 5 for REM sleep. Vanoli et al. [91]
report that myocardial infarction (MI) generally results in a r...
Advanced Methods and Tools for ECG Data Analysis - Part 4 ppsx
... −
π
√
α
3
−
πα
12
0
πα
12
5
√
α
9
−
π
√
α
60
5
√
α
9
a
i
0.8 5. 0 30.0 −7 .50 .5
2 .5
0. 75
2 .5
b
i
0.2α 0.1α 0.1α 0.1α 0.4α
−1
0.2α
The size of the mean heart rate affects the shape of the ECG morphology. An
analysis ... observation, and short transient
sources of noise. Joint time-frequency analysis (JTFA) is then essentially a transfor-
mation of an N-point M-dimensional s...
Advanced Methods and Tools for ECG Data Analysis - Part 6 docx
... preprocessing, data reduction, and analysis stages. This section focuses
upon the strengths and limitations of TWA analysis methods, broadly compris-
ing short-term Fourier transform (STFT)–based methods ... m,
for signals having γ = 10, 5, 2 .5. For γ = 10, maxima occur at χ = 2.2171 and
ρ = 0.9990, both with m = 20. For the intermediate signal to noise ratio, γ = 5,...
Advanced Methods and Tools for ECG Data Analysis - Part 7 ppt
... 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 ... t
s
= 5 seconds, T
m
= 12 seconds, L
s
= 5,
µ = 0 .5, ξ = 0. 35, β = 0.7, δ
f
= 0.2 Hz, and f
w
(1) = arg max
0. 15 f ≤0.4
(S
1
( f )).
where a
j,0
= 1 and the poles z
j, p
appe...
Advanced Methods and Tools for ECG Data Analysis - Part 8 docx
... 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 ... 75. 3 68.2 ––––
[5] , Time domain [g]
79.2 81.4 –– ––––
[a]
81 .5 82 .5 –– ––––
[7], KLT approach [g]
85. 2 86.2 75. 8 78.0 –> 77.0 58 .8 48 .5 47.8
[a]
87.1 87.7 78....
Advanced Methods and Tools for ECG Data Analysis - Part 9 ppsx
... 2 2.99% 64 4 6. 25%
f 200 1 0 .50 % 200 3 1 .5%
F 371 3 0.81% 370 10 2.70%
j 117 3 2 .56 % 1 05 10 9 .52 %
J 40 3 7 .50 % 39 4 10. 25%
S 51 2 2 0.39% 51 2 3 0 .58 %
Total 6,690 74 1.83% 6,0 95 159 4.09%
P1: Shashi
August ... 4 05
S 1 00 00 2 5 00 0 2 50 90 51 9
V 3 1 1 0 5 0 0 0 1 6 0 0 1,214 1,231
Total 418 64 200 50 370 1 05 200 39 50 0 2,000 400 51 2 1,237 6,0 95
P1: Sha...
Advanced Methods and Tools for ECG Data Analysis - Part 10 pps
... discovery, 352 59
grid structure, 353
learning algorithm illustration, 354
learning dynamics, 353
learning process, 352
maps, 355 , 359
performance, 353
properties, 353 54
shapes, 358
spread amount, 353
visualization ... structures (GCS), 350
Growing self-organizing map (GSOM),
350 , 351
application to support ECG
classification, 354 59
data set representation, 354
data vis...
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