DocumentCode :
2503399
Title :
Detection and Evaluation of Gastric Motility for Erosive Gastritis Patients
Author :
Li Zhangyong ; Hu Na ; Ren Chaoshi ; Liu Shengrong ; Liu Chunlun ; Fang Xiaojie
Author_Institution :
Key Lab. of Network Control & Intell. Instrum., Chongqing Univ. of Posts & Telecommun., Chongqing, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
In order to investigate the complex course of electricity and mechanism of erosive gastritis (EG), including its rhythm, transmission, gastric empty course and the influences of them, it is neccesery to extract gastric motility feature indexes. Methods: According the clinic standardization, 30 volunteers of erosive gastritis were selected. The signal processing device was designed by Chongqing University of Posts and Telecommunications. Both signals impedance gastric motility (IGM) and EGG collected from body surface are decomposed by multi-resolution analysis (MRA). Wavelet transform is addressed to separate the IGM signal from breathing and blood flowing impedance signals. By the means of energy and freqency spectrum analysis technic, the signals can be classify according to the dominant power and dominant frequency. Some indexes such as frequency of EGG and IGM, signal power spectrum and dynamic spectrum, the rates of rhythm and power for the normal EGG and IGM and so on can also be calculated. Results: The experiments of gastric motility measurement and evaluation are executed including before teating and after a week. The parameters have changed significantly between health adult and patient (P<0.05). The volunteers feel that the symptom is not disappeared. The feature of EGG has changed significantly (such as power instability coefficient, frequency instability coefficient P<0.05), otherwise those of impedance signal has not (P>0.05). The results of the experiments show that the method based on the synchronous measurement of EGG and IGM can provide a non-invasive way to investigate and evaluate gastric motility situation corresponding gastrointestinal physiology and pathology conditions.
Keywords :
bioelectric phenomena; biological organs; diseases; electrocardiography; feature extraction; haemodynamics; medical signal processing; pneumodynamics; signal classification; signal resolution; spectral analysis; wavelet transforms; EGG; IGM signal; Wavelet transform; blood flow impedance signal; breathing signal; erosive gastritis patients; freqency spectrum analysis; gastric motility detection; gastrointestinal physiology; impedance gastric motility; multiresolution analysis; pathology conditions; signal classification; signal processing device; Feature extraction; Frequency; Multiresolution analysis; Process design; Rhythm; Signal analysis; Signal design; Signal processing; Standardization; Surface impedance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5162601
Filename :
5162601
Link To Document :
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