Literature DB >> 22231147

Assurance of energy efficiency and data security for ECG transmission in BASNs.

Tao Ma1, Pradhumna Lal Shrestha, Michael Hempel, Dongming Peng, Hamid Sharif, Hsiao-Hwa Chen.   

Abstract

With the technological advancement in body area sensor networks (BASNs), low cost high quality electrocardiographic (ECG) diagnosis systems have become important equipment for healthcare service providers. However, energy consumption and data security with ECG systems in BASNs are still two major challenges to tackle. In this study, we investigate the properties of compressed ECG data for energy saving as an effort to devise a selective encryption mechanism and a two-rate unequal error protection (UEP) scheme. The proposed selective encryption mechanism provides a simple and yet effective security solution for an ECG sensor-based communication platform, where only one percent of data is encrypted without compromising ECG data security. This part of the encrypted data is essential to ECG data quality due to its unequally important contribution to distortion reduction. The two-rate UEP scheme achieves a significant additional energy saving due to its unequal investment of communication energy to the outcomes of the selective encryption, and thus, it maintains a high ECG data transmission quality. Our results show the improvements in communication energy saving of about 40%, and demonstrate a higher transmission quality and security measured in terms of wavelet-based weighted percent root-mean-squared difference.

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Year:  2012        PMID: 22231147     DOI: 10.1109/TBME.2011.2182196

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Privacy-Preserving Electrocardiogram Monitoring for Intelligent Arrhythmia Detection.

Authors:  Junggab Son; Juyoung Park; Heekuck Oh; Md Zakirul Alam Bhuiyan; Junbeom Hur; Kyungtae Kang
Journal:  Sensors (Basel)       Date:  2017-06-12       Impact factor: 3.576

2.  A Fast and Robust Non-Sparse Signal Recovery Algorithm for Wearable ECG Telemonitoring Using ADMM-Based Block Sparse Bayesian Learning.

Authors:  Yunfei Cheng; Yalan Ye; Mengshu Hou; Wenwen He; Yunxia Li; Xuesong Deng
Journal:  Sensors (Basel)       Date:  2018-06-23       Impact factor: 3.576

Review 3.  ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges.

Authors:  Mohamed Adel Serhani; Hadeel T El Kassabi; Heba Ismail; Alramzana Nujum Navaz
Journal:  Sensors (Basel)       Date:  2020-03-24       Impact factor: 3.576

  3 in total

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