Multiple ECG Fiducial Points based Random Binary Sequence Generation for Securing Wireless Body Area Networks

Journal Article
Zheng, Guanglou . 2016
Electrocardiography, Wavelet transforms, Algorithm design and analysis, Feature extraction
Magazine \ Newspaper: 
IEEE Journal of Biomedical and Health Informatics
Issue Number: 
Volume Number: 
Publication Abstract: 

Generating random binary sequences is a fundamental requirement in cryptography. A binary sequence (BS) is a sequence of N bits and each bit has a value of 0 or 1. For securing sensors within Wireless Body Area Networks (WBANs), electrocardiogram (ECG) based BS generation methods have been widely investigated in which Inter-pulse Intervals (IPIs) from each heartbeat cycle are processed to produce BSes. Using these IPI-based methods to generate a 128-bit BS in real-time normally takes around half a minute. In order to improve the time efficiency of such methods, this paper presents an ECG Multiple Fiducial-points based Binary Sequence Generation (MFBSG) algorithm. The technique of discrete wavelet transforms is employed to detect arrival time of these fiducial points, such as P, Q, R, S, and T peaks. Time intervals between them, including RR, RQ, RS, RP and RT intervals, are then calculated based on this arrival time, and are used as ECG features to generate random BSes with low latency. According to our analysis on real ECG data, these ECG feature values exhibit the property of randomness, and thus can be utilized to generate random BSes. Compared with the schemes that solely rely on IPIs to generate BSes, this MFBSG algorithm uses five feature values from one heart beat cycle, and can be up to five times faster than the solely IPI-based methods. So, it achieves a design goal of low-latency. According to our analysis, the complexity of the algorithm is comparable to that of fast Fourier transforms. These randomly generated ECG BSes can be used as security keys for encryption or authentication in a WBAN system.