Titre :	Analyse et classification des maladies cardiaques et respiratoires en utilisant les operateurs et les systemes d’ordre fractionnaire.
Type de document :	texte imprimé
Auteurs :	Imene Assadi ép Bensouici, Auteur ; Abdelfatah Charef, Directeur de thèse
Editeur :	جامعة الإخوة منتوري قسنطينة
Année de publication :	2018
Importance :	136 f.
Format :	30 cm.
Note générale :	2 copies imprimées disponibles.
Langues :	Français (fre)
Catégories :	Français - Anglais Electronique
Tags :	Appareil FOT  Arythmies cardiaques  Classification  Complexe QRS  Impédance respiratoire  Maladies respiratoires  Modélisation  Signal ECG  Système d'ordre fractionnaire  Cardiac Arrhythmias  ECG signal  FOT device  Fractional order system  Modeling  QRS Complex  Respiratory diseases  Respiratory impedance  اشارة تخطیط القلب ECG  أمراض الجھاز التنفسي  أمراض القلب  التصنیف  جھاز FOT  نظام ذات درجة ناطقة  النمذجة  المركب QRS  ممانعة التنفس
Index. décimale :	621 Electronique
Résumé :	The work realized in this thesis presents processing and analysis techniques of the electrocardiographic signal (ECG) as well as the respiratory signal for the classification and discrimination of cardiac and respiratory diseases based on fractional order operators and systems. First, the frequency content of the complex QRS of the ECG modeling by a fractional order linear system was presented. After that, classification and discrimination methods of cardiac arrhythmias have been developed using the proposed complex QRS frequency content fractional order model’s parameters as pertinent parameters. A particular attention is paid to normal beats, premature ectopic (PVC) and right and left branch blocks (RBBB and LBBB). Some classification experiments have been presented using the MIT / BIH database. Then, the respiratory impedance modeling and the respiratory diseases classification using fractional order operators and systems have been also presented. The respiratory impedance model parameters have been used by a classification algorithm for the healthy subjects, asthmatic and chronic obstructive pulmonary disease (COPD) patient’s discrimination. The classification method was validated using data collected by the forced oscillation technique (FOT) at Ghent University Hospital, Belgium. The obtained results for the frequency content of the QRS and the respiratory impedance modeling and the cardiac and respiratory diseases discrimination were very satisfactory.
Diplôme :	Doctorat
En ligne :	../theses/electronique/ASS7200.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=10763

Analyse et classification des maladies cardiaques et respiratoires en utilisant les operateurs et les systemes d’ordre fractionnaire. [texte imprimé] / Imene Assadi ép Bensouici, Auteur ; Abdelfatah Charef, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2018 . - 136 f. ; 30 cm.
2 copies imprimées disponibles.
Langues : Français (fre)

Catégories :	Français - Anglais Electronique
Tags :	Appareil FOT  Arythmies cardiaques  Classification  Complexe QRS  Impédance respiratoire  Maladies respiratoires  Modélisation  Signal ECG  Système d'ordre fractionnaire  Cardiac Arrhythmias  ECG signal  FOT device  Fractional order system  Modeling  QRS Complex  Respiratory diseases  Respiratory impedance  اشارة تخطیط القلب ECG  أمراض الجھاز التنفسي  أمراض القلب  التصنیف  جھاز FOT  نظام ذات درجة ناطقة  النمذجة  المركب QRS  ممانعة التنفس
Index. décimale :	621 Electronique
Résumé :	The work realized in this thesis presents processing and analysis techniques of the electrocardiographic signal (ECG) as well as the respiratory signal for the classification and discrimination of cardiac and respiratory diseases based on fractional order operators and systems. First, the frequency content of the complex QRS of the ECG modeling by a fractional order linear system was presented. After that, classification and discrimination methods of cardiac arrhythmias have been developed using the proposed complex QRS frequency content fractional order model’s parameters as pertinent parameters. A particular attention is paid to normal beats, premature ectopic (PVC) and right and left branch blocks (RBBB and LBBB). Some classification experiments have been presented using the MIT / BIH database. Then, the respiratory impedance modeling and the respiratory diseases classification using fractional order operators and systems have been also presented. The respiratory impedance model parameters have been used by a classification algorithm for the healthy subjects, asthmatic and chronic obstructive pulmonary disease (COPD) patient’s discrimination. The classification method was validated using data collected by the forced oscillation technique (FOT) at Ghent University Hospital, Belgium. The obtained results for the frequency content of the QRS and the respiratory impedance modeling and the cardiac and respiratory diseases discrimination were very satisfactory.
Diplôme :	Doctorat
En ligne :	../theses/electronique/ASS7200.pdf
Format de la ressource électronique :	pdf
Permalink :	index.php?lvl=notice_display&id=10763