Call For Paper Volume:4 Issue:8 Aug'2017 |

PRIVACY PROTECTION IN ECG STEGANOGRAPHY BASED ON TELEMEDICINE APPLICATION

Publication Date : 28/05/2015



Author(s) :

ANUJA P SOMAN , A.YOGESWARAN.


Volume/Issue :
Volume 2
,
Issue 5
(05 - 2015)



Abstract :

This paper presents a person identification mechanism mistreatment electrocardiogram (ECG) signals with abnormal internal organ conditions in network environments. a complete of 164 subjects were used in this paper mistreatment three totally different informations containing various irregular heart states from MIT-BIH arrhythmia database (MITDB), MIT-BIH supraventricular heart disease info (SVDB), and Charles  Sturt polygenic disorder complication screening initiative (DiSciRi) information. We have a tendency to projected a straightforward however effective biometric sample extraction technique for electrocardiogram samples with abnormal internal organ conditions to enhance the person identification method. These sample points were then applied to four classifiers to verify the strength of identification. Varied numbers of enrollment and recognition QRS complexes were wont to validate the soundness of the projected methodology. Our experimentation results show that the biometric technique outperforms existing ways lacking the power to efficiently extract features for biometric matching. This can be evident by getting high accuracy results of ninety six.7% for MITDB, 96.4% for SVDB, and 99.3% for DiSciRi. Moreover, high sensitivity, specificity, positive prophetic price, and Youden Index’s values additional verifies the reliableness of the projected methodology. This system conjointly suggests the likelihood of up the classification performance mistreatment electrocardiogram recordings with low oftenness and raised variety of electrocardiogram samples


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PRIVACY PROTECTION IN ECG STEGANOGRAPHY BASED ON TELEMEDICINE APPLICATION

May 25, 2015