Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search

Dey, Nilanjan; Samanta, Sourav; Yang, Xin-She; Das, Achintya; Chaudhuri, Sheli Sinha

doi:10.1504/ijbic.2013.057193

Cited by 137 publications

(31 citation statements)

References 27 publications

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“…In architecture, these models have the potential to truly advance the project impact. A similar abundance of 3D models can be observed in other disciplines, including scientific and medical applications [3], [4], entertainment industry (movies, cartoons and video games) and in electronic commerce to build Customer Relationships.…”

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confidence: 61%

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Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking

Amar¹,

Trabelsi²,

Dey³

et al. 2016

IJIMAI

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-The three-dimensional (3D) polygonal meshes are recently widely used in several domains, which necessitate the realistic visualization of the objects. Moreover, there is an urgent need to protect the 3D data properties for preventing unauthorized reproduction. The 3D digital watermarking technology is one of the best solutions to protect data from piracy during transmission through the internet. The current work proposed a novel robust watermarking scheme of polygonal meshes for copyright protection purposes. The proposed algorithm is based on the characteristics of the mesh geometry to embed a sequence of data bits into the object by slightly adjusting the vertex positions. Furthermore, the proposed method used a blind detection scheme. The watermarked model is perceptually indistinguishable from the original one and the embedded watermark is invariant to affine transformation. Through simulations, the quality of the watermarked object as well as the inserted watermark robustness against various types of attacks were tested and evaluated to prove the validity and the efficiency of our algorithm.

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confidence: 61%

“…The mesh geometry M(F,V) consists of faces where F specifying their connectivity and a set of vertices V={v 1 ,….,v n } with v i ∈ R 3 , n is the number of vertices. The mass center K of the model is calculated using following expression:…”

Section: A Watermark Embeddingmentioning

confidence: 99%

Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking

Amar¹,

Trabelsi²,

Dey³

et al. 2016

IJIMAI

Self Cite

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“…The modern measuring devices (ECG Holters) and computational methods for data analysis allow the researcher and medical expert derive various summary parameters, analyze recurring patterns, transform the data and much more [33][34][35][36][37].…”

Section: Resultsmentioning

confidence: 99%

Analysis of Heart Rate Variability by Applying Nonlinear Methods with Different Approaches for Graphical Representation of Results

Gospodinova¹,

Gospodinov²,

Domuschiev³

et al. 2015

ijacsa

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Abstract-There is an open discussion over nonlinear properties of the Heart Rate Variability (HRV) which takes place in most scientific studies nowadays. The HRV analysis is a noninvasive and effective tool that manages to reflect the autonomic nervous system regulation of the heart. The current study presents the results of HRV analysis based on 24-hour Holter ECG signals of healthy and unhealthy subjects. Analysis of heart intervals is performed with the use of original algorithms and software, developed by the authors, to quantify the irregularity of the heart rate. The main aim is the formation of the parametric estimate of patients' health status, based on mathematical methods that are applied on cardiac physiology. The obtained results show that the analysis of Holter recordings by nonlinear methods may be appropriate for diagnostic, forecast and prevention of the pathological cardiac statuses. Different approaches of graphical representation and visualization of these results are used in order to verify this.

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“…Further, the accuracy of the extraction mechanism (Dey et al, 2012c;Yamasaki and Aizawa, 2013) is computed. 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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Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search

Cited by 137 publications

References 27 publications

Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking

Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking

Analysis of Heart Rate Variability by Applying Nonlinear Methods with Different Approaches for Graphical Representation of Results

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

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