Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Predictable and Reliable ECG Monitoring over IEEE 802.11 WLANs Within a Hospital

Authors
Park, JuyoungKang, Kyungtae
Issue Date
Sep-2014
Publisher
MARY ANN LIEBERT, INC
Keywords
wireless electrocardiogram; IEEE 802; 11; e-health; predictability; reliability; cardiology
Citation
TELEMEDICINE AND E-HEALTH, v.20, no.9, pp.875 - 882
Indexed
SCIE
SCOPUS
Journal Title
TELEMEDICINE AND E-HEALTH
Volume
20
Number
9
Start Page
875
End Page
882
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/21982
DOI
10.1089/tmj.2013.0263
ISSN
1530-5627
Abstract
Telecardiology provides mobility for patients who require constant electrocardiogram (ECG) monitoring. However, its safety is dependent on the predictability and robustness of data delivery, which must overcome errors in the wireless channel through which the ECG data are transmitted. We report here a framework that can be used to gauge the applicability of IEEE 802.11 wireless local area network (WLAN) technology to ECG monitoring systems in terms of delay constraints and transmission reliability. For this purpose, a medical-grade WLAN architecture achieved predictable delay through the combination of a medium access control mechanism based on the point coordination function provided by IEEE 802.11 and an error control scheme based on Reed-Solomon coding and block interleaving. The size of the jitter buffer needed was determined by this architecture to avoid service dropout caused by buffer underrun, through analysis of variations in transmission delay. Finally, we assessed this architecture in terms of service latency and reliability by modeling the transmission of uncompressed two-lead electrocardiogram data from the MIT-BIH Arrhythmia Database and highlight the applicability of this wireless technology to telecardiology.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > DEPARTMENT OF ARTIFICIAL INTELLIGENCE > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Kang, Kyung tae photo

Kang, Kyung tae
COLLEGE OF COMPUTING (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE