Data Compression of a Gaussian Signal by TP Algorithm and Its Application to the ECG

Kosuke KATO; Shunsuke SATO

Data Compression of a Gaussian Signal by TP Algorithm and Its Application to the ECG

Kosuke KATO, Shunsuke SATO

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In the present paper, we focus ourselves on the turning point (TP) algorithm proposed by Mueller and evaluate its performance when applied to a Gaussian signal with definite covariance function. Then the ECG wave is modeled by Gaussian signals: namely, the ECG is divided into two segments, the baseline segment and the QRS segment. The baseline segment is modeled by a Gaussian signal with butterworth spectrum and the QRS one by a narrow-band Gaussian signal. Performance of the TP algorithm is evaluated and compared when it is applied to a real ECG signal and its Gaussian model. The compression rate (CR) and the normalized mean square error (NMSE) are used as measures of performance. These measures show good coincidence with each other when applied to Gaussian signals with the mentioned spectra. Our results suggest that performance evaluation of the compression algorithms based on the stochastic-process model of ECG waves may be effective.

Publication: IEICE TRANSACTIONS on Information Vol.E76-D No.12 pp.1470-1478

Publication Date: 1993/12/25

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Type of Manuscript: Special Section PAPER (Special Section on ECG Data Compression)

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Kosuke KATO, Shunsuke SATO, "Data Compression of a Gaussian Signal by TP Algorithm and Its Application to the ECG" in IEICE TRANSACTIONS on Information, vol. E76-D, no. 12, pp. 1470-1478, December 1993, doi: .
Abstract: In the present paper, we focus ourselves on the turning point (TP) algorithm proposed by Mueller and evaluate its performance when applied to a Gaussian signal with definite covariance function. Then the ECG wave is modeled by Gaussian signals: namely, the ECG is divided into two segments, the baseline segment and the QRS segment. The baseline segment is modeled by a Gaussian signal with butterworth spectrum and the QRS one by a narrow-band Gaussian signal. Performance of the TP algorithm is evaluated and compared when it is applied to a real ECG signal and its Gaussian model. The compression rate (CR) and the normalized mean square error (NMSE) are used as measures of performance. These measures show good coincidence with each other when applied to Gaussian signals with the mentioned spectra. Our results suggest that performance evaluation of the compression algorithms based on the stochastic-process model of ECG waves may be effective.
URL: https://global.ieice.org/en_transactions/information/10.1587/e76-d_12_1470/_p

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@ARTICLE{e76-d_12_1470,
author={Kosuke KATO, Shunsuke SATO, },
journal={IEICE TRANSACTIONS on Information},
title={Data Compression of a Gaussian Signal by TP Algorithm and Its Application to the ECG},
year={1993},
volume={E76-D},
number={12},
pages={1470-1478},
abstract={In the present paper, we focus ourselves on the turning point (TP) algorithm proposed by Mueller and evaluate its performance when applied to a Gaussian signal with definite covariance function. Then the ECG wave is modeled by Gaussian signals: namely, the ECG is divided into two segments, the baseline segment and the QRS segment. The baseline segment is modeled by a Gaussian signal with butterworth spectrum and the QRS one by a narrow-band Gaussian signal. Performance of the TP algorithm is evaluated and compared when it is applied to a real ECG signal and its Gaussian model. The compression rate (CR) and the normalized mean square error (NMSE) are used as measures of performance. These measures show good coincidence with each other when applied to Gaussian signals with the mentioned spectra. Our results suggest that performance evaluation of the compression algorithms based on the stochastic-process model of ECG waves may be effective.},
keywords={},
doi={},
ISSN={},
month={December},}

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TY - JOUR
TI - Data Compression of a Gaussian Signal by TP Algorithm and Its Application to the ECG
T2 - IEICE TRANSACTIONS on Information
SP - 1470
EP - 1478
AU - Kosuke KATO
AU - Shunsuke SATO
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E76-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1993
AB - In the present paper, we focus ourselves on the turning point (TP) algorithm proposed by Mueller and evaluate its performance when applied to a Gaussian signal with definite covariance function. Then the ECG wave is modeled by Gaussian signals: namely, the ECG is divided into two segments, the baseline segment and the QRS segment. The baseline segment is modeled by a Gaussian signal with butterworth spectrum and the QRS one by a narrow-band Gaussian signal. Performance of the TP algorithm is evaluated and compared when it is applied to a real ECG signal and its Gaussian model. The compression rate (CR) and the normalized mean square error (NMSE) are used as measures of performance. These measures show good coincidence with each other when applied to Gaussian signals with the mentioned spectra. Our results suggest that performance evaluation of the compression algorithms based on the stochastic-process model of ECG waves may be effective.
ER -