APPLICATION OF SOM IN CLASSIFICATION OF EGG SIGNALS
Journal Title: Metrology and Measurement Systems - Year 2006, Vol 13, Issue 3
Abstract
The report presents problems associated with computer aided gastric diagnosis. The subject of the study are electrogastrographic (EGG) signals (non-invasively measured electrical signals generated by the human stomach). The signals were digitally recorded and then parametrized, with linear autoregressive models (AR). The data and parametrization method used in the study were the same as used by the authors in the previous study; therefore here they are only shortly described. The sets of numbers, obtained by these means, were treated as information vectors, and classified with the Self Organizing Map (SOM) classifier. The structure and parameters of the algorithm used for classification of the parametrized EGG data are described. The final efficiency of the whole system (SOM classifier with the parametrization method applied), reaching 80%, is promising. It is similar to the results of other classifiers. The ways to improve the effectiveness are also outlined.
Authors and Affiliations
ZBIGNIEW ŚWIERCZYŃSKI
Keywords
Related Articles
- EP ID EP139378
- DOI -
- Views 65
- Downloads 0
PROBE CAPACITANCE-DEPENDENT SYSTEMATIC ERROR IN I-V MEASUREMENTS OF NANOWIRES: ANALYSIS AND CORRECTION<br />
We propose a method of eliminating the systematic error due to the capacitance of digital oscilloscope probes in the experimental setup used for tracing current-voltage (I-V) curves of nanowires with quantum point contac...
THE INFLUENCE OF FITTING ALGORITHM AND SCANNING SPEED ON ROUNDNESS ERROR FOR 50 mm STANDARD RING MEASUREMENT USING CMM
Coordinate Measuring Machines (CMM) become one of the main requirements in precision engineering for advanced industries, troubleshooting and scientific facilities. CMM data analysis software can contribute significantly...
AN ITERATIVE PARAMETER ESTIMATION METHOD FOR OBSERVATION MODELS WITH NONLINEAR CONSTRAINTS<br />
This article presents a parameter estimation algorithm for observation models with nonlinear constraints. A prominent example that belongs to this category is the continuous auto-calibration of stereo cameras. Here, our...
A RELIABLE LOW-COST METHOD FOR ACCURATE CHARACTERIZATION OF ANTENNAS IN TIME DOMAIN
In this paper, a time domain-based approach to practical characterization of antennas is presented. The goal is to prove that time domain-based approach, after appropriate processing, represents an accurate and more prac...
THE IMPACT OF THE RANDOMIZATION OF THE QUANTIZATION ERROR ON THE ACCURACY OF MEASURING SYSTEMS APPLYING A DIGITAL MEASURING ALGORITHM
In measuring systems applying a digital measuring algorithm, the measurement process is divided into two stages: Stage 1 consists in the acquisition and storage of the system's input data, based on which the value of the...