Title: Activity monitoring and meal tracking for cardiac rehabilitation patients

Authors: Usama Pervaiz; Saed Khawaldeh; Tajwar Abrar Aleef; Vu Hoang Minh; Yeman Brhane Hagos

Addresses: Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Burgundy, Maison de l'université Esplanade Erasme, Dijon, Burgundy 21078, France; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Cassino, University Street – 03043 Cassino (Frosinone), Italy; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Girona, Plaça Sant Domènec, Girona, Catalonia 17071, Spain ' Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Burgundy, Maison de l'université Esplanade Erasme, Dijon, Burgundy 21078, France; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Cassino, University Street – 03043 Cassino (Frosinone), Italy; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Girona, Plaça Sant Domènec, Girona, Catalonia 17071, Spain ' Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Burgundy, Maison de l'université Esplanade Erasme, Dijon, Burgundy 21078, France; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Cassino, University Street – 03043 Cassino (Frosinone), Italy; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Girona, Plaça Sant Domènec, Girona, Catalonia 17071, Spain ' Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Burgundy, Maison de l'université Esplanade Erasme, Dijon, Burgundy 21078, France; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Cassino, University Street – 03043 Cassino (Frosinone), Italy; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Girona, Plaça Sant Domènec, Girona, Catalonia 17071, Spain ' Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Burgundy, Maison de l'université Esplanade Erasme, Dijon, Burgundy 21078, France; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Cassino, University Street – 03043 Cassino (Frosinone), Italy; Erasmus+ Joint Master Program in Medical Imaging and Applications, University of Girona, Plaça Sant Domènec, Girona, Catalonia 17071, Spain

Abstract: Heart disease has been ranked as the first cause for death in Pakistan along with being the leading cause of death worldwide (https://www.cdc.gov). Recovering heart patients need to monitor their diet and activity routines to mitigate chances of another occurrence (https://www.heart.org). The proposed application aims to provide a platform that would help patients to keep track of their activity, alongside allowing the patients to keep track of their diet; which will act as fitness monitoring for cardiac rehabilitation patients. Further more, activity classification algorithm used only seven features to shows classification into five different classes with accuracy of 98% in real time. Also, meal tracking module is designed to support the cardiac patients with timely feedback and notifications about their dietary routine.

Keywords: cardiac rehabilitation; heart diseases; meal tracking; activity monitoring; support vector machine; SVM; Scikit toolbar; machine learning; android application; real time monitoring.

DOI: 10.1504/IJMEI.2018.093365

International Journal of Medical Engineering and Informatics, 2018 Vol.10 No.3, pp.252 - 264

Received: 08 Mar 2017
Accepted: 05 Apr 2017
Published online: 25 Jul 2018 *

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