DocumentCode
3685311
Title
A new method for attenuation of respiration artifacts in electrogastrographic (EGG) signals
Author
D. Komorowski;E. Tkacz
Author_Institution
Silesian University of Technology, Faculty of Biomedical Engineering, Department of Biosensors and Biomedical Signals Processing, 40 Roosevelt´a street, 44-800 Zabrze, Poland
fYear
2015
Firstpage
6006
Lastpage
6009
Abstract
Electrogastrography (EGG) is a test method designed for noninvasive assessment of gastric slow waves propagation. The EGG signal is obtained from the electrodes respectively arranged on the surface of the patient´s abdomen. A significant problem during recording of the EGG signal is the elimination of disturbances occurring during registration and unwanted components of other signals such as: components of electrocardiographic (ECG), baseline drift or respiratory disturbances. These components are generally present in the signals registered from the surface of the abdomen of the patient. Since EGG frequency components partly overlap with the frequency components of respiratory artifacts, conventional band-pass digital or analog filtering may cause distortion in electrogastrographic signal. In the paper a method for removing respiratory interference occurring during registration of EGG signal and the effect of filtration on selected parameters of EGG signal analysis is presented. Respiratory artifacts are removed through the use of adaptive filter working in the DCT domain. The applied adaptive filtering method involves the use of the signal including respiratory disturbances. This signal is recorded synchronously with the EGG signal using a thermistor placed near the nose of the patient.
Keywords
"Adaptive filters","Nickel","Filtration","Band-pass filters","Interference","Filtering algorithms","Thermistors"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319760
Filename
7319760
Link To Document