Application of Kohonen neural network for the elaboration of electrogastrograms

被引：0
|
作者：
Giacomini, M [1 ]
Ruggiero, C [1 ]
Mansi, C [1 ]
机构：
[1] Univ Genoa, Dept Informat Syst & Telemat, I-16145 Genoa, Italy
来源：
MEDICAL INFOBAHN FOR EUROPE, PROCEEDINGS | 2000年 / 77卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method is presented for processing and analysis of electrograstrography (EGG) a noninvasive technique by which gastric myolectrical activity is recorded using abdominal surface electrodes. The analysis is based on FFT and on unsupervised artificial neural networks. Three kinds of patterns can be identified on the neurons of a Kohonen output map with 32x16 neurons: one relating to noisy spectral profiles, one relating to pre-prandial profiles, one relating post-prandial profiles. It is concluded that the described method is reliable and can be used for objective automated analysis of EGG and for investigation of possible relations of the EGG with gastric pathologies.
引用
收藏
页码：185 / 189
页数：5
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