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 working prototype was built to capture vital signs for the elderly staying at home and deliver prompt care remotely by using wearable ECG wireless sensors. This prototype has been tested to capture data on a 24/7 basis for a number of patients at the KFUPM Medical Center. The developed system includes a suit of signal processing algorithms for the detection of severe cases of arrhythmias in elderly patients. After identifying patients with potential arrhythmia variability, an alarm system sends emergency requests to caregivers for immediate response. Our results were benchmarked against the standard MIT physiobank. The performance of the system was also tested on simulated data with very satisfactory results, and very positive feedback from users and medical practitioners. 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 working prototype was built to capture vital signs for the elderly staying at home and deliver prompt care remotely by using wearable ECG wireless sensors. This prototype has been tested to capture data on a 24/7 basis for a number of patients at the KFUPM Medical Center. The developed system includes a suit of signal processing algorithms for the detection of severe cases of arrhythmias in elderly patients. After identifying patients with potential arrhythmia variability, an alarm system sends emergency requests to caregivers for immediate response. Our results were benchmarked against the standard MIT physiobank. The performance of the system was also tested on simulated data with very satisfactory results, and very positive feedback from users and medical practitioners.
| Original language | English |
|---|---|
| Title of host publication | Internet of Things |
| Subtitle of host publication | User-Centric IoT - 1st International Summit, IoT360 2014, Revised Selected Papers |
| Editors | Antonio J. Jara, Edna Pasher, Gabriel Bendersky, Benny Mandler, Joel J. P. C. Rodrigues, Eliezer Dekel, Radu-Laurentiu Vieriu, Raffaele Giaffreda |
| Publisher | Springer Verlag |
| Pages | 159-166 |
| Number of pages | 8 |
| ISBN (Print) | 9783319196558 |
| DOIs | |
| State | Published - 2015 |
Publication series
| Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
|---|---|
| Volume | 150 |
| ISSN (Print) | 1867-8211 |
Bibliographical note
Publisher Copyright:© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.
Keywords
- Arrhythmia
- Electrocardiogram
- Telehealth
- Ubiquitous
ASJC Scopus subject areas
- Computer Networks and Communications
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