Paper Info
Title
Mobile Embedded Health-Care System Working on Wireless Sensor Network
Abstract
We proposed an ECG signal monitoring mobile embedded system, which is aimed to be utilized for a ubiquitous health-care system. The proposed monitoring system is using wireless transmission based on ZigBee protocol for signal transferring. The proposed system mainly consists of two mobile platforms. One platform is for signal acquisition and the other is for monitoring based on ECG signal analysis and recognition. A histogram of gradient algorithm is applied for general feature extraction. Moreover, multiple auto-associative multilayer perceptron neural networks with an hierarchical structure are applied for discriminating normal and abnormal ECG signals. Experimental results show that the proposed system is successfully monitoring ECG signals. In the experiments, we considered three different abnormal ECG signals such as BIDMC congestive heart failure, malignant ventricular ectopy and CU ventricular tachyarrhythmia as well as normal ECG signals obtained from MIT-BIH DB.
Year
DOI
Venue
2011
10.1109/CMC.2011.118
CMC
Keywords
Field
DocType
electrocardiography,health care,ubiquitous health-care system,ecg based monitoring platform,mit-bih database,medical disorders,ubiquitous healthcare system,mobile embedded platform,signal acquisition platform,telemedicine,ecg signal recognition,mobile embedded health care system,ecg signal,bidmc congestive heart failure,ecg signal analysis,wireless sensor network,ubiquitous health care system,signal acquisition,proposed monitoring system,malignant ventricular ectopy,medical signal processing,abnormal ecg signal,multilayer perceptrons,hierarchical structure,health-care system working,zigbee communication,gradient algorithm,feature extraction,zigbee,wireless transmission,gradient methods,different abnormal ecg,proposed system,ecg monitoring,mobile embedded system,wireless sensor networks,zigbee protocol,normal ecg,embedded systems,ecg signal monitoring,multiple autoassociative multilayer perceptron neural networks,mobile computing,signal transferring,cu ventricular tachyarrhythmia,mobile computer
Mobile computing,Signal monitoring,Histogram,Signal processing,Monitoring system,Computer science,Feature extraction,Real-time computing,Wireless transmission,Wireless sensor network
Conference
ISBN
Citations 
PageRank 
978-1-61284-312-4
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Hye-Jin Lee1305.27
Dong-Oh Kim2156.72
Bub-joo Kang332.11
Sang-woo Ban416119.35