Multichannel Adaptive Enhancement of the Electrogastrogram

Jiande Chen; Joos Vandewalle; Willy Sansen; Gaston Vantrappen; Jozef Janssens

doi:10.1109/10.52329

Multichannel Adaptive Enhancement of the Electrogastrogram

Jiande Chen, Joos Vandewalle, Willy Sansen, Gaston Vantrappen, Jozef Janssens

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

21 Scopus citations

Abstract

The electrogastric signal can be measured cutaneously on the abdomen. This is attractive because it is harmless to patients or volunteers. However, the poor quality of the cutaneous measurements necessitates signal enhancements. Hence, in this paper, an adaptive multichannel signal enhancing system is proposed. The p-vector least mean square (LMS) algorithm is applied to adjust the weights of the adaptive filters in the system. The detailed description and the performance analysis of the system is qiven in the paper. Applying the proposed system, the respiratory artifact, the electrode-skin noise, some of motion artifacts, and the electrocardiography (ECG) can be efficiently reduced while the characteristics of the relevant gastric signal is less affected.

Original language	English (US)
Pages (from-to)	285-294
Number of pages	10
Journal	IEEE Transactions on Biomedical Engineering
Volume	37
Issue number	3
DOIs	https://doi.org/10.1109/10.52329
State	Published - Mar 1990
Externally published	Yes

ASJC Scopus subject areas

Biomedical Engineering

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title = "Multichannel Adaptive Enhancement of the Electrogastrogram",

abstract = "The electrogastric signal can be measured cutaneously on the abdomen. This is attractive because it is harmless to patients or volunteers. However, the poor quality of the cutaneous measurements necessitates signal enhancements. Hence, in this paper, an adaptive multichannel signal enhancing system is proposed. The p-vector least mean square (LMS) algorithm is applied to adjust the weights of the adaptive filters in the system. The detailed description and the performance analysis of the system is qiven in the paper. Applying the proposed system, the respiratory artifact, the electrode-skin noise, some of motion artifacts, and the electrocardiography (ECG) can be efficiently reduced while the characteristics of the relevant gastric signal is less affected.",

author = "Jiande Chen and Joos Vandewalle and Willy Sansen and Gaston Vantrappen and Jozef Janssens",

year = "1990",

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AU - Janssens, Jozef

PY - 1990/3

Y1 - 1990/3

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AB - The electrogastric signal can be measured cutaneously on the abdomen. This is attractive because it is harmless to patients or volunteers. However, the poor quality of the cutaneous measurements necessitates signal enhancements. Hence, in this paper, an adaptive multichannel signal enhancing system is proposed. The p-vector least mean square (LMS) algorithm is applied to adjust the weights of the adaptive filters in the system. The detailed description and the performance analysis of the system is qiven in the paper. Applying the proposed system, the respiratory artifact, the electrode-skin noise, some of motion artifacts, and the electrocardiography (ECG) can be efficiently reduced while the characteristics of the relevant gastric signal is less affected.

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Multichannel Adaptive Enhancement of the Electrogastrogram

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