| Titre : |
Developpement de techniques utilisant les ondelettes pour l’analyse, : La classification et le traitement du signal ECG |
| Type de document : |
texte imprimé |
| Auteurs : |
Skander Bensegueni, Auteur ; Abdelhak Bennia, Directeur de thèse |
| Editeur : |
جامعة الإخوة منتوري قسنطينة |
| Année de publication : |
2016 |
| Importance : |
104 f. |
| Format : |
30 cm. |
| Note générale : |
2 copies imprimées disponibles
|
| Langues : |
Français (fre) |
| Catégories : |
Français - Anglais
Electronique
|
| Tags : |
signal électrocardiogramme pic R détection d'ondes compression du signal transformée en ondelettes analyse en composantes principale transformée en cosinus discrète ECG signal R peak waves detection signal compression wavelets transform principal components analysis discrete cosine transform الإشارة البیانیة الكھربائیة للقلب الموجة آر الكشف عن الموجة تقلیص حجم الإشارة تحویل المویجات تحلیل المكونات الرئیسیة تحویل جیب التمام غیر المترابط |
| Index. décimale : |
621 Electronique |
| Résumé : |
n this thesis, we tried to address several topics concerning the analysis, synthesis and compression of the electrocardiogram (ECG) signal using the MIT database. Where we have detected R waves by locating each QRS complex using the dyadic wavelet transform, which defines a window of R peak search, and then, we have accurately detected the R waves by the manipulation of the first order coefficients of the discrete wavelet transform. In the second part of our work we have segmented the signal in its RR periods in order to construct vectors of a data matrix, where we extract its principal components in order to reduce the size of the information, then, we reduce more and more the size by applying a threshold on the signal resulting from the discrete cosine transform. The last algorithm designed is a practical application of the R wave detection algorithm, but, after the extraction of one-dimensional signal of the resulting scanned image of the ECG paper.
The results of R peaks detection, reducing the size of the signal and the correspondence of samples of the signal resulting from the extraction with those of the original file, was very satisfactory and with an extreme precision,
demonstrating the quality of our algorithms presented in this thesis. |
| Diplôme : |
Doctorat en sciences |
| En ligne : |
../theses/electronique/BEN6877.pdf |
| Format de la ressource électronique : |
pdf |
| Permalink : |
index.php?lvl=notice_display&id=10193 |
Developpement de techniques utilisant les ondelettes pour l’analyse, : La classification et le traitement du signal ECG [texte imprimé] / Skander Bensegueni, Auteur ; Abdelhak Bennia, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2016 . - 104 f. ; 30 cm. 2 copies imprimées disponibles
Langues : Français ( fre)
| Catégories : |
Français - Anglais
Electronique
|
| Tags : |
signal électrocardiogramme pic R détection d'ondes compression du signal transformée en ondelettes analyse en composantes principale transformée en cosinus discrète ECG signal R peak waves detection signal compression wavelets transform principal components analysis discrete cosine transform الإشارة البیانیة الكھربائیة للقلب الموجة آر الكشف عن الموجة تقلیص حجم الإشارة تحویل المویجات تحلیل المكونات الرئیسیة تحویل جیب التمام غیر المترابط |
| Index. décimale : |
621 Electronique |
| Résumé : |
n this thesis, we tried to address several topics concerning the analysis, synthesis and compression of the electrocardiogram (ECG) signal using the MIT database. Where we have detected R waves by locating each QRS complex using the dyadic wavelet transform, which defines a window of R peak search, and then, we have accurately detected the R waves by the manipulation of the first order coefficients of the discrete wavelet transform. In the second part of our work we have segmented the signal in its RR periods in order to construct vectors of a data matrix, where we extract its principal components in order to reduce the size of the information, then, we reduce more and more the size by applying a threshold on the signal resulting from the discrete cosine transform. The last algorithm designed is a practical application of the R wave detection algorithm, but, after the extraction of one-dimensional signal of the resulting scanned image of the ECG paper.
The results of R peaks detection, reducing the size of the signal and the correspondence of samples of the signal resulting from the extraction with those of the original file, was very satisfactory and with an extreme precision,
demonstrating the quality of our algorithms presented in this thesis. |
| Diplôme : |
Doctorat en sciences |
| En ligne : |
../theses/electronique/BEN6877.pdf |
| Format de la ressource électronique : |
pdf |
| Permalink : |
index.php?lvl=notice_display&id=10193 |
|
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