DSpace À propos de l'application DSpace
 

Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Publications Internationales >

Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13808

Titre: A medical comparative study evaluating electrocardiogram signal-based blood pressure estimation
Auteur(s): Moussaoui, Siham
Fellag, Sid Ali
Chebi, Hocine
Date de publication: 2024
Editeur: IGI Global
Collection/Numéro: Future of AI in Medical Imaging (2024);pp. 58 - 64
Résumé: In general, blood pressure (BP) is measured using standard methods (medical monitors), which are widely used, or from physiological sensor data, which is a difficult task usually solved by combining several signals. In recent research, electrocardiogram (ECG) signals alone have been used to estimate blood pressure. The authors present a comparative study that evaluates ECG signal-based blood pressure estimation using complexity analysis to extract features, comparing the results obtained with a random forest regression model as well as with the combination of a stacking-based classification module and a regression module. It was determined that the best result obtained is a mean absolute error range of 3.73 mmHg with a standard deviation of 5.19 mmHg for diastolic blood pressure (DBP) and 5.92 mmHg with a standard deviation of 7.23 mmHg for systolic blood pressure (PAS).
URI/URL: https://www.igi-global.com/gateway/chapter/342029
10.4018/979-8-3693-2359-5.ch004
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13808
ISBN: 979-836932360-1
979-836932359-5
Collection(s) :Publications Internationales

Fichier(s) constituant ce document :

Il n'y a pas de fichiers associés à ce document.

View Statistics

Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.

 

Valid XHTML 1.0! Ce site utilise l'application DSpace, Version 1.4.1 - Commentaires