Paper Info
Title
AED: Adaptive Energy-Efficient Data Transmission Scheme for Heart Disease Detection
Abstract
Next generation health and fitness wearable devices offer the opportunities for improving personalized healthcare. To detect and predict health problems, wearable devices with limited power resource need to transmit sensing data uninterruptedly that could be a huge challenge. Many exist researches use various ways to reduce the energy consumption but, to the best of our knowledge, no one employs physical activities integrated with data transmission technique to save the power. In this paper, we have developed an Adaptive Energy-efficient Data transmission (AED) scheme, which can detect critical events such as myocardial infarction and, at the same time, minimizes data transmission from the devices. Simulation results show that AED reduces the number of transmission by 71.35% for continuous data transmission and 30.33% for batch data transmission.
Year
DOI
Venue
2017
10.1109/DASC-PICom-DataCom-CyberSciTec.2017.66
2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Keywords
Field
DocType
wearable devices,heart disease,human activity,low power consumption,wireless transmission,health monitoring system
Transmission (mechanics),Data transmission,Efficient energy use,Computer science,Sensing data,Real-time computing,Wearable technology,Energy consumption,Heart disease,Personalized medicine
Conference
ISBN
Citations 
PageRank 
978-1-5386-1957-5
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Albert Budi Christian100.34
Lokesh Sharma241.82
Shih-Lin Wu3364.74