Abstract
Chronic diseases are becoming the world’s leading causes of death and disability, and are predicted to account for almost three quarters of all deaths by 2020. A Graphical User Interface (GUI) based telemedical system has been developed using LabView instrumentation software for real time analysis of vital signs captured for elderly patients suffering from Arrhythmia. The developed system includes a suit of signal processing algorithms for the detection of severe cases of Arrhythmias in elderly patients. In particular, we used time frequency distributions and wavelets to estimate a number of features from ECG traces which are then used in classification. The performance of the system was tested on simulated data and the real data from MIT, and our own collected data with very satisfactory results. A questionnaire was conducted with physicians and health practitioners to study the feasibility of implementing a Tele-health system at the KFUPM Medical Center.
| Original language | English |
|---|---|
| Title of host publication | Internet of Things |
| Subtitle of host publication | IoT Infrastructures - 2nd International Summit, IoT 360° 2015, Revised Selected Papers |
| Editors | Miguel Elias Mitre Campista, Andrey Somov, Benny Mandler, Hakima Chaouchi, Maria Fazio, Dagmar Caganova, Stefano Giordano, Johann Marquez-Barja, Sherali Zeadally, Mohamad Badra, Radu-Laurentiu Vieriu |
| Publisher | Springer Verlag |
| Pages | 508-516 |
| Number of pages | 9 |
| ISBN (Print) | 9783319470627 |
| DOIs | |
| State | Published - 2016 |
Publication series
| Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
|---|---|
| Volume | 169 |
| ISSN (Print) | 1867-8211 |
Bibliographical note
Publisher Copyright:© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.
Keywords
- Arrhythmia
- Electrocardiogram
- Telehealth
- Ubiquitous
ASJC Scopus subject areas
- Computer Networks and Communications