Please use this identifier to cite or link to this item:
Title: Performance Analysis of ECG Processing on Mobile Devices
Authors: Simjanoska, Monika 
Koteska, Bojana 
Gushev, Marjan 
Madevska Bogdanova, Ana 
Issue Date: 2019
Source: Monika Simjanoska, Bojana Koteska, Marjan Gusev, and Ana Madevska-Bogdanova. “Performance Analysis of ECG Processing on Mobile Devices”. In: ICT Innovations 2019, Web Proceedings ISSN 1865-0937 (2019), pp. 1–15.
Conference: 11th International Conference, ICT Innovations 2019
Abstract: Recently, there is a great focus on preventive medicine and consequently, lots of telemedicine applications have been developed for real-time health monitoring. The monitoring requires a set of biosensors and tablets, smartphones or other mobile devices. The biosensors continuously scan and transmit data and the mobile devices have the capacity to process the data and at the same time to save the battery as much as possible. In this paper, we assess the performance of an algorithm for ECG derived heart rate and respiratory rate. Three different scenarios are inspected encompassing local, remote Linux server, and remote MatLabc server processing of the locally collected ECG signals by using the biosensors attached to a person. We set a hypothesis that processing locally instead of remotely is worse in terms of time and power consumption. Thus, developing a web service for processing will be best in both time and battery consumption. A total of 1297 signals have been processed. The results show that the mobile device is appropriate for processing ECG files up to approximately 5MB size. The processing of larger files spends too many resources when compared to the remote processing solution. Additionally, we have proved that splitting large files in chunks up to 4 MB per chunk resulted in faster processing for the local scenario.
ISSN: 1865-0937 (2019)
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

Files in This Item:
File Description SizeFormat 
performance-analysis-of-ecg-processing-on-mobile-devices.pdf676.08 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Aug 14, 2022


checked on Aug 14, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.