Tamper detection of electrocardiographic signal using watermarked bio-hash code in wireless cardiology

Dey, Nilanjan; Dey, Monalisa; Mahata, Sainik Kumar; Das, Achintya; Chaudhuri, Sheli Sinha

doi:10.1504/ijsise.2015.067069

Cited by 31 publications

(7 citation statements)

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“…Finally, blood vessel is extracted from the watermarked image (Dey et al, 2013a(Dey et al, , 2013bChakraborty et al, 2014) and the accuracy is compared with the previously obtained results. EPR is recovered from the watermarked (Dey et al, 2014a(Dey et al, , 2014b image with the help of original retinal image.…”

Section: Proposed Methodsmentioning

confidence: 99%

Effect of trigonometric functions-based watermarking on blood vessel extraction: an application in ophthalmology imaging

Dey

Ahmed

Chakraborty³

et al. 2017

IJES

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With the growth of globalisation, security has been a major concern in digital exchange of medical information. Data hiding, also referred as watermarking, was introduced to authenticate medical data which is sent over the network. Watermarking of electronic patient reports (EPR) for telemedicine demands robust, imperceptible, high payload techniques. Blood vessel extraction is mainly used for diabetic retinopathy (DR) for automatic extraction and classification of severity of diseases. In our current work, blood vessel from fundus images is extracted using K-means segmentation. Afterwards, EPR is hidden using interpolation and trigonometric functions in fundus image. Finally, blood vessel is extracted from the watermarked image to measure the changes in accuracy of the proposed system. The percentage difference (< 0.25%) of accuracy in fundus images before watermarking and after watermarking claims the retention of devalorisation of vessel extraction accuracy measurement. High peak signal to noise ratio (PSNR) value (> 36) and high correlation (> 87%) between original and watermarked retinal image, establishes the robustness of the proposed non-blind watermarking method.Keywords: blood vessel extraction; non-blind watermarking; electronic patient report; EPR; K-means; peak signal to noise ratio; PSNR. Effect of trigonometric functions-based watermarking on blood vessel extraction 91Reference to this paper should be made as follows: Dey, N., Ahmed, S.S., Chakraborty, S., Maji, P., Das, A. and Chaudhuri, S.S. (2017) 'Effect of trigonometric functions-based watermarking on blood vessel extraction: an application in ophthalmology imaging', Int.

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Section: Proposed Methodsmentioning

confidence: 99%

Effect of trigonometric functions-based watermarking on blood vessel extraction: an application in ophthalmology imaging

Dey

Ahmed

Chakraborty³

et al. 2017

IJES

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“…A computer-aided system helps automating this clinical activity in order to obtain faster and reliable analysis. Recently, an imperative research is focused on the medical image processing in various fields such as [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…This method showed a consistent improvement in the results when the number of images increases in contrast with the erratic behavior of the basic version. 4 Jaya et al [23] 2009 Median filter, the weighted median and the adaptive filter.…”

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confidence: 99%

Parameter Optimization for Local Polynomial Approximation based Intersection Confidence Interval Filter Using Genetic Algorithm: An Application for Brain MRI Image De-Noising

et al. 2015

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Magnetic resonance imaging (MRI) is extensively exploited for more accurate pathological changes as well as diagnosis. Conversely, MRI suffers from various shortcomings such as ambient noise from the environment, acquisition noise from the equipment, the presence of background tissue, breathing motion, body fat, etc. Consequently, noise reduction is critical as diverse types of the generated noise limit the

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“…One of the well-known techniques (Pal et al, 2013;Dey et al, 2013aDey et al, , 2013b) that have been implemented in image processing (Dey et al, 2012c(Dey et al, , 2012d(Dey et al, , 2015 for information security is watermarking (Bhattacharya et al, 2012;Dey et al, 2014Dey et al, , 2013c. Watermarking refers (Dey et al, 2012e, 2012f;Chakraborty et al, 2012) to hiding or embedding any message inside a signal (Dey et al, 2012g, 2012h), image or video.…”

Section: Introductionmentioning

confidence: 99%

Image mining framework and techniques: a review

Dey¹,

KarÁ¢a²,

Chakraborty³

et al. 2015

IJIM

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Abstract:Image mining refers to a data mining technique where images are used as data. It supports a large field of applications like medical diagnosis, agriculture, industrial work, space research and obviously the educational field. The image mining technique can extract knowledge and exciting patterns which are not stored in the database by analysing the images using various tools. The new era of advanced technology and high storage capability supports the growth of large and detailed image database. This review paper presents a detailed view on the existing research works in the area of image mining and also summarised the different techniques used.

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Tamper detection of electrocardiographic signal using watermarked bio-hash code in wireless cardiology

Cited by 31 publications

References 0 publications

Effect of trigonometric functions-based watermarking on blood vessel extraction: an application in ophthalmology imaging

Effect of trigonometric functions-based watermarking on blood vessel extraction: an application in ophthalmology imaging

Parameter Optimization for Local Polynomial Approximation based Intersection Confidence Interval Filter Using Genetic Algorithm: An Application for Brain MRI Image De-Noising

Image mining framework and techniques: a review

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