A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease

Author:

Gurbeta Lejla1ORCID,Badnjevic Almir1,Maksimovic Mirjana2,Omanovic-Miklicanin Enisa3,Sejdic Ervin45

Affiliation:

1. Verlab Ltd Sarajevo, International Burch University Sarajevo, Francuske revolucije bb, Sarajevo, Bosnia and Herzegovina

2. Faculty of Electrical Engineering, University of East Sarajevo, Sarajevo, Bosnia and Herzegovina

3. Faculty of Agriculture and Food Sciences, University of Sarajevo, Sarajevo, Bosnia and Herzegovina

4. Department of Electrical and Computer Engineering, Swan-son School of Engineering, University of Pittsburgh, Pennsylvania, USA

5. Department of Bioengineering, Swan-son School of Engineering, University of Pittsburgh, Pennsylvania, USA

Abstract

Abstract This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MATLAB, and PHP technologies and consists of a spirometer, mobile application, and expert diagnostic system. To evaluate the effectiveness of the system, a prospective study was carried out in 3 remote primary healthcare institutions, and one hospital in Bosnia and Herzegovina healthcare system. During 6 months, 780 patients were assessed and diagnosed with an accuracy of 97.32%. The presented approach is simple to use and offers specialized consultations for patients in remote, rural, and isolated communities, as well as old and less physically mobile patients. While improving the quality of care delivered to patients, it was also found to be very beneficial in terms of healthcare.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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