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

Gyoun Yon Cho, Seo Joon Lee, Tae Ro Lee

    Research output: Contribution to journalArticlepeer-review

    30 Citations (Scopus)

    Abstract

    Recent medical information systems are striving towards real-time monitoring models to care patients anytime and anywhere through ECG signals. However, there are several limitations such as data distortion and limited bandwidth in wireless communications. In order to overcome such limitations, this research focuses on compression. Few researches have been made to develop a specialized compression algorithm for ECG data transmission in real-time monitoring wireless network. Not only that, recent researches’ algorithm is not appropriate for ECG signals. Therefore this paper presents a more developed algorithm EDLZW for efficient ECG data transmission. Results actually showed that the EDLZW compression ratio was 8.66, which was a performance that was 4 times better than any other recent compression method widely used today.

    Original languageEnglish
    Article number161
    Pages (from-to)2-8
    Number of pages7
    JournalJournal of Medical Systems
    Volume39
    Issue number1
    DOIs
    Publication statusPublished - 2015 Jan

    Bibliographical note

    Publisher Copyright:
    © 2014, Springer Science+Business Media New York.

    Keywords

    • Compression
    • ECG
    • EDLZW
    • Medical information system
    • Wireless communications

    ASJC Scopus subject areas

    • Medicine (miscellaneous)
    • Information Systems
    • Health Informatics
    • Health Information Management

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