Security of Electronic Patient Record using Imperceptible DCT-SVD based Audio Watermarking Technique

Aniruddha Kanhe, Aghila Gnanasekaran

Abstract


Abstract—A robust and highly imperceptible audio watermarking
technique is presented to secure the electronic patient
record of Parkinson’s Disease (PD) affected patient. The proposed
DCT-SVD based watermarking technique introduces minimal
changes in speech such that the accuracy in classification of PD
affected person’s speech and healthy person’s speech is retained.
To achieve high imperceptibility the voiced part of the speech is
considered for embedding the watermark. It is shown that the
proposed watermarking technique is robust to common signal
processing attacks. The practicability of the proposed technique is
tested: by creating an android application to record & watermark
the speech signal. The classification of PD affected speech is done
using Support Vector Machine (SVM) classifier in cloud server.

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