Title | ||
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Topographic analysis and diagnosis of congestive heart failure using second-order difference plot. |
Abstract | ||
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In this study, in order to diagnose congestive heart failure (CHI) patients, second-order difference map (SDOP) features obtained from raw electrocardiogram (EEG) data is used CHF and normal patients' electrocardiogram data which are distributed freely via internet, is analyzed By U-matrix presentation of Self-Organized Maps, distances between groups and clusters are examined 1x16 Axed SODP features of raw EEG data obtained from normal and CHF patients can successfully be classified using U-matrix presentation of SOM. As a classifier Neural Network based classifier is applied and %99.9 over all accuracy performance is reached |
Year | DOI | Venue |
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2014 | 10.1109/SIU.2014.6830285 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
Self-Organized Maps,Congestive Heart Failure | Signal processing,Heart failure,Pattern recognition,Topographic map,Computer science,Artificial intelligence,Eeg data,Electrocardiography,Artificial neural network,Classifier (linguistics),Electroencephalography | Conference |
ISSN | Citations | PageRank |
2165-0608 | 0 | 0.34 |
References | Authors | |
3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Apdullah Yayik | 1 | 2 | 2.14 |
Yakup Kutlu | 2 | 15 | 4.86 |