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Erschienen in:
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2023 | OriginalPaper | Buchkapitel

6. Digital ECG Signal Watermarking and Compression

verfasst von : Ashish Kumar, Manjeet Kumar, Rama S. Komaragiri

Erschienen in: High Performance and Power Efficient Electrocardiogram Detectors

Verlag: Springer Nature Singapore

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Abstract

Data privacy on the Internet seems to be becoming a thing of the past. It is going to be a struggle for individuals to manage personal medical information on the Internet. ECG data is considered as the most vulnerable dataset. To safeguard and protect the personal ECG data, the use of security schemes like watermarking of ECG data is the focus of the present Chapter.

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Vorheriges Kapitel FPGA Implementation of Combined ECG Signal Denoising, Peak Detection Technique for Cardiac Pacemaker Systems
Nächstes Kapitel Basic Formation on Wavelet Transforms
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Metadaten
Titel
Digital ECG Signal Watermarking and Compression
verfasst von
Ashish Kumar
Manjeet Kumar
Rama S. Komaragiri
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Buch
High Performance and Power Efficient Electrocardiogram Detectors

Print ISBN: 978-981-19-5302-6

Electronic ISBN: 978-981-19-5303-3

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-981-19-5303-3_6

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