Paper Info
Title
A Continuous Change Detection Mechanism to Identify Anomalies in ECG Signals for WBAN-Based Healthcare Environments.
Abstract
The developments and applications of wireless body area networks (WBANs) for healthcare and remote monitoring have brought a revolution in the medical research field. Numerous physiological sensors are integrated in a WBAN architecture in order to monitor any significant changes in normal health conditions. This monitored data are then wirelessly transferred to a centralized personal server (PS). However, this transferred information can be captured and altered by an adversary during communication between the physiological sensors and the PS. Another scenario where changes can occur in the physiological data is an emergency situation, when there is a sudden change in the physiological values, e.g., changes occur in electrocardiogram (ECG) values just before the occurrence of a heart attack. This paper presents a centralized approach for the detection of abnormalities, as well as intrusions, such as forgery, insertions, and modifications in the ECG data. A simplified Markov model-based detection mechanism is used to detect changes in the ECG data. The features are extracted from the ECG data to form a feature set, which is then divided into sequences. The probability of each sequence is calculated, and based on this probability, the system decides whether the change has occurred or not. Our experiments and analyses show that the proposed scheme has a high detection rate for 5% as well as 10% abnormalities in the data set. The proposed scheme also has a higher true negative rate with a significantly reduced running time for both 5% and 10% abnormalities. Similarly, the receiver operating characteristic (ROC) and ROC convex hull have very promising results.
Year
DOI
Venue
2017
10.1109/ACCESS.2017.2714258
IEEE ACCESS
Keywords
Field
DocType
Healthcare,wireless body area networks,change detection,intrusion detection,Markov model
Change detection,Wireless,Receiver operating characteristic,Computer science,Computer security,Markov model,Convex hull,Computer network,Physiological values,Real-time computing,Wireless sensor network,Intrusion detection system
Journal
Volume
ISSN
Citations 
5
2169-3536
2
PageRank 
References 
Authors
0.36
13
6
Name
Order
Citations
PageRank
Farrukh Aslam Khan138834.17
Nur Al Hasan Haldar2395.20
Aftab Ali31876.52
Mohsin Iftikhar47211.15
Tanveer A. Zia58013.50
Albert Y. Zomaya65709454.84