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Partager le résultat de cette recherche Interroger des sources externesAnalyse et classification des maladies cardiaques et respiratoires en utilisant les operateurs et les systemes d’ordre fractionnaire. / Imene Assadi ép Bensouici
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
ElectroniqueTags : 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 التنفسIndex. 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 : 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
ElectroniqueTags : 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 التنفسIndex. 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 : Permalink : index.php?lvl=notice_display&id=10763 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ASS/7200 ASS/7200 Thèse Bibliothèque principale Thèses Disponible
