Embedding Patient Database in ECG Signal using Slantlet Transform for Holter Monitoring Data Transmission
Priti Patil
, Prof. N. C. Patil
Slantlet Transform; ECG; telemedicine; Least Significant Bit, Holter monitoring data transmission.
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.
"Embedding Patient Database in ECG Signal using Slantlet Transform for Holter Monitoring Data Transmission", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.26 - 32, July-2016, Available :https://ijsdr.org/papers/IJSDR1607007.pdf
Volume 1
Issue 7,
July-2016
Pages : 26 - 32
Paper Reg. ID: IJSDR_160585
Published Paper Id: IJSDR1607007
Downloads: 000346998
Research Area: Engineering
Country: Nandurbar, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
