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J. Yoga Priya

Bio: J. Yoga Priya is an academic researcher from Thiagarajar College of Engineering. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Papers
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Proceedings ArticleDOI
01 Dec 2016
TL;DR: Various ECG Steganography techniques that have been used by researchers are discussed; in which patient details and diagnosis report are embedded into ECG signals.
Abstract: Medical Images have been widely used to diagnose and detect the abnormalities in the human body. In this study, we have focused on ECG (Electrocardiography) signals which play a vital role in diagnosing Cardio Vascular Disease (CVD). CVD is most prevalent among the people because of changing lifestyle, Age, Tobacco, etc. According to the WHO (World Health Organization) report in 2012, around 17 million people die each year because of CVD, which represents 31% of the overall death rate. Due to the advancement in the e-Health care system, most of the ECG signals along with the patient's sensitive data are transmitted among doctors and hospitals for detailed analysis. According to the HIPAA act, it should be made sure that patient's details are to be sent securely during the transmission. In this study various ECG Steganography techniques that have been used by researchers are discussed; in which patient details and diagnosis report are embedded into ECG signals.

3 citations


Cited by
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Journal ArticleDOI
11 Oct 2018-Sensors
TL;DR: Experimental work on the assessment of the loss of ECG (electrocardiogram signal) diagnostic quality from the industrial standard EN60601-2-25:2015 point of view is presented and the Symlet of 11-th order is found as the best of the wavelets that were tested.
Abstract: Watermarking is currently investigated as an efficient and safe method of embedding additional patient or environment-related data into the electrocardiogram. This paper presents experimental work on the assessment of the loss of ECG (electrocardiogram signal) diagnostic quality from the industrial standard EN60601-2-25:2015 point of view. We implemented an original time-frequency watermarking technique with an adaptive beat-to-beat lead-independent data container design. We tested six wavelets, six coding bit depth values (including the automatic noise-dependent one) and two types of watermark content to find the conditions that are necessary for watermarked ECG to maintain the compliance with International Electrotechnical Commission (IEC) requirements for interpretation performance. Unlike other authors, we did not assess the differences of signal values, but errors in ECG wave delineation results. The results of a total of 7300 original and watermarked 10 s ECGs were statistically processed to reveal possible interpretation quality degradation due to watermarking. Finally we found (1) the Symlet of 11-th order as the best of the wavelets that were tested; (2) the important role of ECG wave delineation and noise tracking procedures; (3) the high influence of the watermark-to-noise similarity of amplitude and values distribution and (4) the stability of the watermarking capacity for different heart rates in atrial rhythms.

10 citations

Journal ArticleDOI
TL;DR: In this paper , the authors proposed a solution combining data encryption techniques and multiscale signal analysis for securing patients' confidential data, where the confidential patient information and the electrocardiogram (ECG) signal are first encrypted with the Advanced Encryption Standard (AES) method.
Abstract: The transmission of confidential information over an open communication channel is susceptible to many threats like copyright infringement, eavesdropping and hacking. In this paper, we propose a solution combining data encryption techniques and multiscale signal analysis for securing patients’ confidential data. Discrete Wavelet Transform (DWT) is first applied to an ECG signal. The confidential patient information and the electrocardiogram (ECG) signal are then encrypted with the Advanced Encryption Standard (AES) method. Finally, the output of the encryption is hidden in an image to form the stego image and transferred to a medical server. While cryptography ensures the confidentiality of the data modified by the encryption process, steganography enhance the security. The evaluation of the proposed system was performed with real data and quantitative parameters such as Percent Residual Difference (PRD), Mean Squared Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experimental results show the proposed scheme has a good encryption effect and a strong ability to resist detection compared with the existing methods.
Proceedings ArticleDOI
30 Dec 2018
TL;DR: A method for integrating the exercise and environmental data into a digital ECG structure by watermarking technique is presented and it is proved the watermarked ECG to maintain the wave borders accuracy within tolerance limits.
Abstract: Exercise test is worldwide recognized as a valuable tool for investigating ST segment-based ischemia markers. Due to load-related risk, the test is reserved for office use, what causes inconvenience, limits patients participation rate and precludes screening for early ischemia stages. Transferring the diagnosis to patients' premises and using everyday activities as a stimulus is an interesting alternative, but needs reliable recording of physical load data. This paper presents a method for integrating the exercise and environmental data into a digital ECG structure by watermarking technique. The method analyses the time-scale ECG representation, detects the bandgap, where the bandwidth of actual cardiac content is lower than the throughput of digital series, detects the noise and replaces it by exercise-related data. Unless in irregular signals, the capacity of data container can accommodate an accompanying accelerometer and environment-related signals without deteriorating the ECG content. This makes possible to perform ECG exercise test in home conditions without additional transmission channels or data structures. The method was tested with CSE database accordingly to EN60601-2-25:2015 and proved the watermarked ECG to maintain the wave borders accuracy within tolerance limits. Consequently, restoration of original ECG record is not necessary. The method was also tested with anonymized stress-test records, which were watermarked with accelerometer data and re-interpreted to yield results fairly comparable to original diagnoses.