Adaptive data compression of ambulatory ECG using multi templates

K. Akazawa; T. Uchiyama; S. Tanaka; A. Sasamori; E. Harasawa

Adaptive data compression of ambulatory ECG using multi templates

K. Akazawa, T. Uchiyama, S. Tanaka, A. Sasamori, E. Harasawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a new adaptive method of data compression for digital ambulatory electrocardiogram (ECG), considering diagnostic significance of each segment of ECG. R-wave is detected, followed by multi template matching of the detected beat and judgment of noise level; the templates are successively created during processing. The residual signal (difference between the original ECG and the best-fit template) is approximated with FAN (SAPA2) method and then encoded. The error threshold of FAN is decreased during P-wave segments and increased during noise segments; the maximum error of the reconstructed signal at each time is known. This method is applied to ECGs of the AHA (American Heart Association) database and its usefulness is indicated; e.g., bit rate is approximately 400bps at 8% PRD and 200bps at 15% PRD.

Original language	English
Title of host publication	Computers in Cardiology
Publisher	Publ by IEEE
Pages	495-498
Number of pages	4
ISBN (Print)	0818654708
Publication status	Published - 1993
Externally published	Yes
Event	Proceedings of the 1993 Conference on Computers in Cardiology - London, UK Duration: 1993 Sept 5 → 1993 Sept 8

Publication series

Name	Computers in Cardiology
ISSN (Print)	0276-6574

Other

Other	Proceedings of the 1993 Conference on Computers in Cardiology
City	London, UK
Period	93/9/5 → 93/9/8

ASJC Scopus subject areas

Computer Science Applications
Cardiology and Cardiovascular Medicine

Cite this

@inproceedings{eb19aec4910f4e5ebffe2f227d0d9164,

title = "Adaptive data compression of ambulatory ECG using multi templates",

abstract = "This paper proposes a new adaptive method of data compression for digital ambulatory electrocardiogram (ECG), considering diagnostic significance of each segment of ECG. R-wave is detected, followed by multi template matching of the detected beat and judgment of noise level; the templates are successively created during processing. The residual signal (difference between the original ECG and the best-fit template) is approximated with FAN (SAPA2) method and then encoded. The error threshold of FAN is decreased during P-wave segments and increased during noise segments; the maximum error of the reconstructed signal at each time is known. This method is applied to ECGs of the AHA (American Heart Association) database and its usefulness is indicated; e.g., bit rate is approximately 400bps at 8% PRD and 200bps at 15% PRD.",

author = "K. Akazawa and T. Uchiyama and S. Tanaka and A. Sasamori and E. Harasawa",

year = "1993",

language = "English",

isbn = "0818654708",

series = "Computers in Cardiology",

publisher = "Publ by IEEE",

pages = "495--498",

booktitle = "Computers in Cardiology",

note = "Proceedings of the 1993 Conference on Computers in Cardiology ; Conference date: 05-09-1993 Through 08-09-1993",

}

TY - GEN

T1 - Adaptive data compression of ambulatory ECG using multi templates

AU - Akazawa, K.

AU - Uchiyama, T.

AU - Tanaka, S.

AU - Sasamori, A.

AU - Harasawa, E.

PY - 1993

Y1 - 1993

N2 - This paper proposes a new adaptive method of data compression for digital ambulatory electrocardiogram (ECG), considering diagnostic significance of each segment of ECG. R-wave is detected, followed by multi template matching of the detected beat and judgment of noise level; the templates are successively created during processing. The residual signal (difference between the original ECG and the best-fit template) is approximated with FAN (SAPA2) method and then encoded. The error threshold of FAN is decreased during P-wave segments and increased during noise segments; the maximum error of the reconstructed signal at each time is known. This method is applied to ECGs of the AHA (American Heart Association) database and its usefulness is indicated; e.g., bit rate is approximately 400bps at 8% PRD and 200bps at 15% PRD.

AB - This paper proposes a new adaptive method of data compression for digital ambulatory electrocardiogram (ECG), considering diagnostic significance of each segment of ECG. R-wave is detected, followed by multi template matching of the detected beat and judgment of noise level; the templates are successively created during processing. The residual signal (difference between the original ECG and the best-fit template) is approximated with FAN (SAPA2) method and then encoded. The error threshold of FAN is decreased during P-wave segments and increased during noise segments; the maximum error of the reconstructed signal at each time is known. This method is applied to ECGs of the AHA (American Heart Association) database and its usefulness is indicated; e.g., bit rate is approximately 400bps at 8% PRD and 200bps at 15% PRD.

UR - http://www.scopus.com/inward/record.url?scp=0027810481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027810481&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0027810481

SN - 0818654708

T3 - Computers in Cardiology

SP - 495

EP - 498

BT - Computers in Cardiology

PB - Publ by IEEE

T2 - Proceedings of the 1993 Conference on Computers in Cardiology

Y2 - 5 September 1993 through 8 September 1993

ER -

Adaptive data compression of ambulatory ECG using multi templates

Abstract

Publication series

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this