Paper Info
Title
Adaptive Sensing Of Ecg Signals Using R-R Interval Prediction
Abstract
There is growing demand for systems consisting of tiny sensor nodes powered with small batteries that acquire electrocardiogram (ECG) data and wirelessly transmit the data to remote base stations or mobile phones continuously over a long period. Conserving electric power in the wireless sensor nodes (WSNs) is essential in such systems. Adaptive sensing is promising for this purpose since it can reduce the energy consumed not only for data transmission but also for sensing. However, the basic method of adaptive sensing, referred to here as "plain adaptive sensing," is not suitable for ECG signals because it sometimes capture the R waves defectively. We introduce an improved adaptive sensing method for ECG signals by incorporating R-R interval prediction. Our method improves the characteristics of ECG compression and drastically reduces the total energy consumption of the WSNs.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6609424
2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
data compression,sensors,data transmission,wireless communication,wireless sensor networks,databases,total energy
Key distribution in wireless sensor networks,Base station,Wireless,Data transmission,Computer science,R-R Interval,Electronic engineering,Data compression,Energy consumption,Wireless sensor network
Conference
Volume
ISSN
Citations 
2013
1557-170X
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Shogo Nakaya100.34
Yuichi Nakamura210.72