Stationary wavelet transformation based self-recovery of blind-watermark from electrocardiogram signal in wireless telecardiology

Communications in Computer and Information Science

Volumn 335 CCIS, Issue , 2012, Pages 347-357

  Dey, Nilanjan ^a   Roy, Anamitra Bardhan ^a   Das, Achintya ^b   Chaudhuri, Sheli Sinha ^c  

^a JIS COLLEGE OF ENGINEERING   (India)

^b KALYANI GOVERNMENT ENGINEERING COLLEGE   (India)

^c JADAVPUR UNIVERSITY   (India)

Author keywords

ECG; P QRS T Components; Quantization; Spread Spectrum; Stationary Wavelet Transformation (SWT)

Indexed keywords

BIOMEDICAL SIGNAL; BIOSIGNALS; CARDIO-VASCULAR DISEASE; COMPARATIVE STUDIES; CORRELATION VALUE; DIAGNOSTIC TOOLS; DIAGNOSTIC VALUE; ECG SIGNALS; ELECTRICAL ACTIVITY OF THE HEART; ELECTROCARDIOGRAM SIGNAL; MULTIMEDIA CONTENTS; PEAK SIGNAL TO NOISE RATIO; QUANTIZATION; RELIABLE TRANSMISSION; SELF RECOVERY; SIGNAL INTEGRITY; SPREAD SPECTRA; SPREAD- SPECTRUM; STATIONARY WAVELET; TELE-MONITORING; TELECARDIOLOGY; WATERMARK EMBEDDING; WATERMARK EXTRACTION; WIRELESS MEDIA;

BIOELECTRIC PHENOMENA; DIAGNOSIS; DIGITAL WATERMARKING; ELECTROCARDIOGRAPHY; NETWORK SECURITY; WATERMARKING; WAVELET TRANSFORMS;

QUANTIZATION (SIGNAL);

EID: 84867678093     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-34135-9_35     Document Type: Conference Paper

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