2012
DOI: 10.5815/ijigsp.2012.07.04
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Analysis of P-QRS-T Components Modified by Blind Watermarking Technique Within the Electrocardiogram Signal for Authentication in Wireless Telecardiology Using DWT

Abstract: Abstract-Presently considerable amount of work has been done in tele-monitoring which involves the transmission of bio-signals and medical images in the wireless media.

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Cited by 82 publications
(37 citation statements)
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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.…”
mentioning
confidence: 93%
See 1 more Smart Citation
“…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.…”
mentioning
confidence: 93%
“…Where, D is the furthest Euclidian distance from the faces center to the mesh center of mass dCf i obtained by (4), and m is a specified value. The faces center Cf i of a given triangular face f i is provided by (5).…”
Section: A Watermark Embeddingmentioning
confidence: 99%
“…Recently, imaging techniques are increased such as Computed Tomography (CT), X-ray, molecular imaging, Magnetic Resonance Imaging (MRI), ultrasound, photoacoustic imaging, fluoroscopy and mammography. Nowadays, size of the medical videos and CT scans are also increased rapidly [18,19,20]. Such data requires huge storage space and fast algorithms to process and disease diagnosis [21,22].…”
Section: Electronic Health Records (Ehrs)mentioning
confidence: 99%
“…Modified Pan-Tompkin's algorithm [16][17] is applied on ECG signal to detect P, QRS, and T components.…”
Section: A Generation Of Ecg-hash Codementioning
confidence: 99%