NDLI: Embedding and Retrieving Private Metadata in Electrocardiograms

Content Provider	Springer Nature Link
Author	Kozat, Suleyman S. Vlachos, Michail Lucchese, Claudio Herle, Helga Yu, Philip S.
Copyright Year	2008
Abstract	Due to the recent explosion of ‘identity theft’ cases, the safeguarding of private data has been the focus of many scientific efforts. Medical data contain a number of sensitive attributes, whose access the rightful owner would ideally like to disclose only to authorized personnel. One way of providing limited access to sensitive data is through means of encryption. In this work we follow a different path, by proposing the fusion of the sensitive metadata within the medical data. Our work is focused on medical time-series signals and in particular on Electrocardiograms (ECG). We present techniques that allow the embedding and retrieval of sensitive numerical data, such as the patient’s social security number or birth date, within the medical signal. The proposed technique not only allows the effective hiding of the sensitive metadata within the signal itself, but it additionally provides a way of authenticating the data ownership or providing assurances about the origin of the data. Our methodology builds upon watermarking notions, and presents the following desirable characteristics: (a) it does not distort important ECG characteristics, which are essential for proper medical diagnosis, (b) it allows not only the embedding but also the efficient retrieval of the embedded data, (c) it provides resilience and fault tolerance by employing multistage watermarks (both robust and fragile). Our experiments on real ECG data indicate the viability of the proposed scheme.
Starting Page	241
Ending Page	259
Page Count	19
File Format	PDF
ISSN	01485598
Journal	Journal of Medical Systems
Volume Number	33
Issue Number	4
e-ISSN	1573689X
Language	English
Publisher	Springer US
Publisher Date	2008-08-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	ECG Fragile watermark Robust watermark Health Informatics Statistics for Life Sciences, Medicine, Health Sciences
Content Type	Text
Resource Type	Article
Subject	Health Information Management Information Systems Health Informatics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The Programmable ECG Simulator

Wireless Transmission of ECG signal

Human Identification Using Compressed ECG Signals

Metadata from Data: Identifying Holidays from Anesthesia Data

E-Portfolio Competency Metadata: Pilot Study for a Call to Action

A New Feature Detection Mechanism and Its Application in Secured ECG Transmission with Noise Masking

An optimized compression algorithm for real-time ECG data transmission in wireless network of medical information systems

AR Spectral Analysis Technique for Human PPG, ECG and EEG Signals

Effective Electrocardiogram Steganography Based on Coefficient Alignment

Embedding and Retrieving Private Metadata in Electrocardiograms

Similar Documents

The Programmable ECG Simulator

Wireless Transmission of ECG signal

Human Identification Using Compressed ECG Signals

Metadata from Data: Identifying Holidays from Anesthesia Data

E-Portfolio Competency Metadata: Pilot Study for a Call to Action

A New Feature Detection Mechanism and Its Application in Secured ECG Transmission with Noise Masking

An optimized compression algorithm for real-time ECG data transmission in wireless network of medical information systems

AR Spectral Analysis Technique for Human PPG, ECG and EEG Signals

Effective Electrocardiogram Steganography Based on Coefficient Alignment

Embedding and Retrieving Private Metadata in Electrocardiograms