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Paper Title: Embedding Patient Database in ECG Signal using Slantlet Transform for Holter Monitoring Data Transmission
Authors Name: Priti Patil , Prof. N. C. Patil
Unique Id: IJSDR1607007
Published In: Volume 1 Issue 7, July-2016
Abstract: In the application of telemedicine, ECG signal without any patient details is sent to the Doctor end. Consequently, confusion is arisen between signal and patient’s identity. To avoid this confusion, it is necessary to combine ECG signals with patient confidential information when sent. In this paper, the Slantlet Transform based technique has been introduced to protect patient confidential data. The proposed method allows ECG signal to hide patient confidential data and other physiological information. For embedding patient confidential data in ECG signal, the Least Significant Bit watermarking algorithm is used. To evaluate the effectiveness of the proposed technique on the ECG signal and diagnosability measurement of water-marked ECG, some metrics have been used such as Peak Signal to Noise Ratio, Percentage Residual Difference and Bit Er-ror Rate.
Keywords: Slantlet Transform; ECG; telemedicine; Least Significant Bit, Holter monitoring data transmission.
Cite Article: "Embedding Patient Database in ECG Signal using Slantlet Transform for Holter Monitoring Data Transmission", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 7, page no.26 - 32, July-2016, Available :http://www.ijsdr.org/papers/IJSDR1607007.pdf
Downloads: 0001575
Publication Details: Published Paper ID: IJSDR1607007
Registration ID:160585
Published In: Volume 1 Issue 7, July-2016
DOI (Digital Object Identifier):
Page No: 26 - 32
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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