作者
Sandeep Pirbhulal, Heye Zhang, Wanqing Wu, Subhas Chandra Mukhopadhyay, Yuan-Ting Zhang
发表日期
2018/3/12
期刊
IEEE Transactions on Biomedical Engineering
卷号
65
期号
12
页码范围
2751-2759
出版商
IEEE
简介
Heartbeats based random binary sequences (RBSs) are the backbone for several security aspects in wireless body sensor networks (WBSNs). However, current heartbeats based methods require a lot of processing time (~25-30 s) to generate 128-bit RBSs in real-time healthcare applications. In order to improve time efficiency, a biometric RBSs generation technique using interpulse intervals (IPIs) of heartbeats is developed in this study. The proposed technique incorporates a finite monotonic increasing sequences generation mechanism of IPIs and a cyclic block encoding procedure that extracts a high number of entropic bits from each IPI. To validate the proposed technique, 89 ECG recordings including 25 healthy individuals in a laboratory environment, 20 from MIT-BIH Arrhythmia Database, and 44 cardiac patients from the clinical environment are considered. By applying the proposed technique on the ECG …
引用总数
2017201820192020202120222023202411449392120104
学术搜索中的文章
S Pirbhulal, H Zhang, W Wu, SC Mukhopadhyay… - IEEE Transactions on Biomedical Engineering, 2018