Sample domain integration of medical data for multimedia diagnosis

Mingui Sun, Yun-Qing Shi, Qiang Liu, Robert J. Sclabassi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although there has been active research in data security and multimedia systems, which have wide applications in many fields, certain special problems in the field of medicine have not yet been solved. These problems include integration of data from different sources and provision of multiple levels of access control to protect the privacy of patients. We present a new method for data integration and security by mixing medical waveforms and images with encrypted patient identifiers and unencrypted associative data, such as acquisition parameters, diagnostic images, and notes and comments in textual, pictorial, and voice forms. We vary the sampling rate (or the sampling grid) of data according to their local smoothness. Then, redundant samples (or pixels) are eliminated and replaced by associative data which are labeled using a status string encoded based on the Huffman and run-length techniques. This method achieves both data compression and integration simultaneously.

Original languageEnglish (US)
Title of host publicationProceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages363-366
Number of pages4
ISBN (Electronic)0780377133, 9780780377134
DOIs
StatePublished - Jan 1 2002
Event2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002 - St. Thomas, United States
Duration: Dec 9 2002Dec 11 2002

Publication series

NameProceedings of 2002 IEEE Workshop on Multimedia Signal Processing, MMSP 2002

Other

Other2002 5th IEEE Workshop on Multimedia Signal Processing, MMSP 2002
CountryUnited States
CitySt. Thomas
Period12/9/0212/11/02

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology

Fingerprint Dive into the research topics of 'Sample domain integration of medical data for multimedia diagnosis'. Together they form a unique fingerprint.

Cite this