Outline of "Wavelet Analysis for Clinical Medicine"(in Japanese) published by MEDICAL PUBLICATION (IGAKU-SHUPPAN) , ISBN 4-7578-0000-2 (in appending CD-ROM, it is public presentation of "Wavelet Analysis and Spectrum Analysis Software : MEM", and all source codes)
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Prenatal diagnosis of long QT syndrome by non-invasive fetal electrocardiography
- Journal of Obstetrics and Gynaecology Research Volume 35 Issue 3, Pages 555 - 561
- Yoshinobu Fujimoto , Tadashi Matsumoto, Nobuhisa Honda, Ryuichiro Tojo , Masataka Furuya, Kenji Kasai, Suguru Saito, Fumio Mochimaru and Yasuhiro Ishikawa
- Long QT syndrome is a high-risk condition associated with arrhythmia due to its sudden cause of death. Prenatal diagnosis of long QT syndrome, however, is impossible using the fetal echocardiogram. Here we present the first reported case of long QT syndrome in which a prenatal diagnosis was made using non-invasive fetal electrocardiogram. We consider that the non-invasive fetal electrocardiogram may be a good method for diagnosing fetal QT prolongation
- [Key Words]
- KEYWORDS: fetal arrhythmia , fetal electrocardiogram , long QT syndrome , prenatal diagnosis
Inverse Independent Component Analysis Facilitates Clarification of the
Accessory Conductive Pathway of Wolf-Parkinson-White Syndrome
- Pediatric Cardiology ISSN 0172-0643 (Print) 1432-1971 (Online)
- Seika Yanai , Yasuhiro Ishikawa, Shigeto Fuse and Hiroyuki
- Our aim was to demonstrate a digital analyzing method that could
extract the potential of early excitation derived from accessory
conductive pathway (ACP) from fusion of the QRS complex wave of the
electrocardiogram of Wolf-Parkinson-White (WPW) syndrome. A 13-year-old
boy with WPW syndrome received successful catheter ablation therapy. ECG
was recorded and analyzed using independent component analysis (ICA) and
inverse independent component analysis (I-ICA), at pretherapy and
posttherapy. We identified the ACP potential and the following potential
spread to the ventricle. Results agreed with those of intracardiac
mapping, locating the ACP in the left posterior side of the heart. ICA and
I-ICA might be useful for noninvasive analysis of WPW syndrome ECG and
other electrocardiac abnormalities.
- [Key Words]
- Keywords Wolff?Parkinson?White syndrome - Accessory conductive pathway
- Independent component analysis
- [Title]: The Fetal Electrocardiogram by Independent Component Analysis and Wavelets
- The Japanese Journal of Physiology Vol. 54 (2004) , No. 5 457-463
- Fumio Mochimaru, Yoshinobu Fujimoto and Yasuhiro Ishikawa
- Abstract: Once the fetal electrocardiogram (FECG) waveforms from ECG on the maternal abdomen are detected, the fetal P wave and T wave cannot always be identified by using continuous wavelet transform (CWT). We took noninvasive FECG from the maternal abdomen, extracted it from the maternal electrocardiogram waveforms after an Independent Component Analysis (ICA), and identified the features of those waveforms by using CWT. We also simultaneously analyzed the observed signals by Primary Component Analysis (PCA). FECG has been extracted by ICA from 25 of 30 pregnant women. The fetal P wave and T wave could be identified in 21 of the 25 cases. FECG was extracted by PCA in only one case. ICA is superior to PCA, whose separation quality highly depends on the careful positioning of the electrodes. We believe that after ICA, FECG obtained by the wavelet theory based method will become a powerful tool for the differential diagnosis of fetal arrhythmias
- [Key Words]
fetal ECG (FECG), independent component analysis (ICA), wavelet transforms
- [Title] Wavelet Theory-Based Analysis of High-Frequency, High-Resolution Electrocardiograms: A New Concept for Clinical Uses
- "Progress in Biomedical Research", p179-184, Vol. 7, No. 3, September 2002
- Y. Ishikawa, F. Mochimaru
- Recently, the wavelet transform has been considered as an alternative to the Fourier
transform in many fields that require frequency analysis, signal processing, or image
Unlike the Fourier transform, the wavelet transform is two-dimensional in time and
frequency, and allows data in both domains to be analyzed at the same time.
Because the wavelet transform is not able to exhibit its superlative resolving power when
used with ordinary electrocardiographs, we acquired electrocardiogram waveforms at sampling rates of 5, 10, and 20 kHz.
According to the analysis of the adult electrocardiogram (ECG) presented in this paper, the QRS complex under the continuous wavelet transform has a gourd shape.
The P wave, which can be recognized prior to the gourd shape as knots, was disintegrated
into stratified structural components that are thought to correspond to the impulse-conduction system.
Potentials thought to derive from the sinus node and His fasciculae were observed too.
Since we are able to observe the atrial conduction system noninvasively, we think that this technique may be effective in the diagnosis and treatment of arrhythmias.
The analysis of the ventricular conduction system shows that the T wave consists of four
main stratified components, T1, T2, T3, and T4.
The main structural component T4 has an elongated spindle shape along the time axis at
frequencies below the gourd shape of the QRS complex.
The endpoint of the T wave can be defined mathematically by determining the point where T3
and T4 fuse.
We think this analysis will be effective for evaluating the risk of heart disease and the
effectiveness of antiarrhythmic drugs.
- [Key Words]
[Title]:Detecting the Fetal Electrocardiogram by Wavelet Theory-Based Methods
- "Progress in Biomedical Research", p185-193, Vol. 7, No. 3, September 2002
- F. Mochimaru, Y. Fujimoto, Y. Ishikawa
- Accurate detection of fetal heart signals during pregnancy has the potential to provide
specific information on possible fetal cardiac diseases.
By analyzing standard ECG recordings derived from leads placed on the maternal abdomen, we
determined that fetal signals have very low power relative to that of the maternal ECG, and
they are mixed with several sources of interference.
We took noninvasive fetal electrocardiograms from the maternal abdomen, extracted the fetal
QRS complex, P wave and T wave from the maternal electrocardiogram waveforms, and
identified the features of those waveforms.
The waveform of the fetal ECG is morphologically similar to that of the adult ECG in the
continuous wavelet transform, which is a method for analyzing time-dependent signals in
both time and frequency domains.
We showed that the observed waveforms were not noise, but were actually the fetal ECG.
Our high-frequency, high-resolution ECG allows the fetal P wave and T wave to be monitored.
We think this will become a powerful tool for diagnosing and treating fetal arrhythmias.
- [Key Words]
How to get this book in overseas Information from publisher(IGAKU-SHUPPAN)
"Wavelet Analysis for Clinical Medicine" :Chapter 6: Wavelet Analysis of SAECG (Signal-averaged ECG) -Supplement - original color images -
"Wavelet Analysis for Clinical Medicine" :Chapter 7 : Wavelet Analysis of Heat Rate Variability -- Supplement -
NEW Update 7 June 2001 - Change of phase -
"Wavelet Analysis for Clinical Medicine" :Chapter 8 :From Spectrum Analysis to Wavelet Analysis * Supplement - circadian rhythm of blood pressure -
"Wavelet Analysis for Clinical Medicine" :Chapter 5 : Wavelet Packet Analysis and Best Basis Algorithm applied to ECG
- Best Basis Algorithm by the function which makes an information entropy ( theoretical dimension,Gauss-markov entropy,etc) cost. -
Wavelet Analysis of the Pulse Wave (Blood Pressure Waveform) with Tonometry Method
Wavelet Analysis of Lung Sounds Update Dec. 24th. 2000
Wavelet Analysis of Some Viral Infection Diseases (Measles) by Wavelet Transform Modulus Maxima and Vertical Local Maxima Line in Japanese May 10 2001
Sample Image of Software:MEM (image size 117KB)
Execution of MEM on MacOS by Tamotu Kawano
ERRATA of "Wavelet Analysis for Clinical Medicine "
The Wavelet Digest Volume 13, Issue 7 Preprint: "The Fetal Electrocardiogram by Independent Component Analysis and Wavelets", by F. Mochimaru, Y. Fujimoto, Y. Ishikawa
The Wavelet Digest Volume 11, Issue 6 Preprint: "Wavelet Theory-Based Analysis of High-Frequency, High-Resolution Electrocardiograms: A New Concept for Clinical Uses" by Y. Ishikawa
The Wavelet Digest Volume 11, Issue 6 Preprint: "Detecting the Fetal Electrocardiogram by Wavelet Theory-Based Methods" by F. Mochimaru
The Wavelet Digest, Volume 10, Issue 2 (May 15, 01) Book: "Wavelet Analysis for Clinical Medicine"
To MEDICAL PUBLICATION (IGAKU-SHUPPAN) home page : "Wavelet Analysis for Clinical Medicine "
Analysis of Foetal ECG
Isolation foetal ECG by ICA(Independent Component Analysis)
MultiFractals , Multi Fractal , singularity spectrum , fractal dimension
The application of joint research and joint developments E-MAIL:firstname.lastname@example.org