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

doi:10.1007/s10916-014-0161-7

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

School of Health Policy and Management

Research output: Contribution to journal › Article › peer-review

25 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 language	English
Article number	161
Pages (from-to)	2-8
Number of pages	7
Journal	Journal of Medical Systems
Volume	39
Issue number	1
DOIs	https://doi.org/10.1007/s10916-014-0161-7
Publication status	Published - 2015 Jan

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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10.1007/s10916-014-0161-7

Cite this

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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{\textquoteright} 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.",

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AB - 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.

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

Abstract

Keywords

ASJC Scopus subject areas

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