» Articles » PMID: 2779298

Adaptive Method for Cancellation of Respiratory Artefact in Electrogastric Measurements

Overview
Publisher Springer
Date 1989 Jan 1
PMID 2779298
Citations 20
Authors
Affiliations
Soon will be listed here.
Abstract

Electrogastric measurements are useful for medical research and in clinical diagnosis. The measurements, however, contain very heavy respiratory artefact. Existing conventional frequency-domain filters cannot be used because of the possible overlap of the frequencies of the gastric signals and respiratory artefact. In the paper, the methods of measuring cutaneous and intraluminal gastric signals and reference respiratory signals are described. An adaptive cancellation technique is developed, which is simple and easy to implement for online processing. It is proved by experiments to be very efficient, i.e. the respiratory artefact can be completely cancelled, while the gastric signal component is not affected. Other possible applications in biomedical signal analysis are also discussed.

Citing Articles

Biosensor-Assisted Method for Abdominal Syndrome Classification Using Machine Learning Algorithm.

Gandhi C, Ahmad S, Mehbodniya A, Webber J, Hemalatha S, Elwahsh H Comput Intell Neurosci. 2022; 2022:4454226.

PMID: 35126492 PMC: 8816582. DOI: 10.1155/2022/4454226.


Reconstruction of normal and abnormal gastric electrical sources using a potential based inverse method.

Kim J, Du P, Cheng L Physiol Meas. 2013; 34(9):1193-206.

PMID: 24137714 PMC: 4061470. DOI: 10.1088/0967-3334/34/9/1193.


Electrogastrography in adults and children: the strength, pitfalls, and clinical significance of the cutaneous recording of the gastric electrical activity.

Riezzo G, Russo F, Indrio F Biomed Res Int. 2013; 2013:282757.

PMID: 23762836 PMC: 3677658. DOI: 10.1155/2013/282757.


The adaptive ARMA analysis of EMG signals.

Barisci N J Med Syst. 2008; 32(1):43-50.

PMID: 18333405 DOI: 10.1007/s10916-007-9106-8.


Extraction of gastric slow waves from electrogastrograms: combining independent component analysis and adaptive signal enhancement.

Liang H Med Biol Eng Comput. 2005; 43(2):245-51.

PMID: 15865135 DOI: 10.1007/BF02345962.


References
1.
Nelsen T, Kohatsu S . Clinical electrogastrography and its relationship to gastric surgery. Am J Surg. 1968; 116(2):215-22. DOI: 10.1016/0002-9610(68)90496-0. View

2.
Brown B, Smallwood R, Duthie H, Stoddard C . Intestinal smooth muscle electrical potentials recorded from surface electrodes. Med Biol Eng. 1975; 13(1):97-103. DOI: 10.1007/BF02478194. View

3.
GOODMAN E, COLCHER H, KATZ G, DANGLER C . The clinical significance of the electrogastrogram. Gastroenterology. 1955; 29(4):598-608; discussion, 607-8. View

4.
Smallwood R . Analysis of gastric electrical signals from surface electrodes using phaselock techniques: part 1--system design. Med Biol Eng Comput. 1978; 16(5):507-12. DOI: 10.1007/BF02457800. View

5.
Stoddard C, Smallwood R, Duthie H . Electrical arrhythmias in the human stomach. Gut. 1981; 22(9):705-12. PMC: 1419876. DOI: 10.1136/gut.22.9.705. View