Literature DB >> 21097076

Embedding patients confidential data in ECG signal for healthcare information systems.

Ayman Ibaida1, Ibrahim Khalil, Dhiah Al-Shammary.   

Abstract

In Wireless tele-cardiology applications, ECG signal is widely used to monitor cardiac activities of patients. Accordingly, in most e-health applications, ECG signals need to be combined with patient confidential information. Data hiding and watermarking techniques can play a crucial role in ECG wireless tele-monitoring systems by combining the confidential information with the ECG signal since digital ECG data is huge enough to act as host to carry tiny amount of additional secret data. In this paper, a new steganography technique is proposed that helps embed confidential information of patients into specific locations (called special range numbers) of digital ECG host signal that will cause minimal distortion to ECG, and at the same time, any secret information embedded is completely extractable. We show that there are 2.1475 × 10(9) possible special range numbers making it extremely difficult for intruders to identify locations of secret bits. Experiments show that percentage residual difference (PRD) of watermarked ECGs can be as low as 0.0247% and 0.0678% for normal and abnormal ECG segments (taken from MIT-BIH Arrhythmia database) respectively.

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Year:  2010        PMID: 21097076     DOI: 10.1109/IEMBS.2010.5627671

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  4 in total

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Authors:  Ching-Yu Yang; Wen-Fong Wang
Journal:  J Med Syst       Date:  2015-12-29       Impact factor: 4.460

2.  An Integrated Approach Using Chaotic Map & Sample Value Difference Method for Electrocardiogram Steganography and OFDM Based Secured Patient Information Transmission.

Authors:  Anukul Pandey; Barjinder Singh Saini; Butta Singh; Neetu Sood
Journal:  J Med Syst       Date:  2017-10-18       Impact factor: 4.460

3.  Hiding patients confidential datainthe ECG signal viaa transform-domain quantization scheme.

Authors:  Shuo-Tsung Chen; Yuan-Jie Guo; Huang-Nan Huang; Woon-Man Kung; Kuo-Kun Tseng; Shu-Yi Tu
Journal:  J Med Syst       Date:  2014-05-17       Impact factor: 4.460

4.  Intelligent Healthcare System Using Patients Confidential Data Communication in Electrocardiogram Signals.

Authors:  Ming Zhao; Shuo-Tsung Chen; Tzu-Li Chen; Shu-Yi Tu; Cheng-Ta Yeh; Fang-Yu Lin; Hao-Chun Lu
Journal:  Front Aging Neurosci       Date:  2022-04-20       Impact factor: 5.702

  4 in total

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