DocumentCode :
665233
Title :
Review of digital heart sound classification methods via Artificial Neural Networks
Author :
Salman, A.H. ; Mengko, Tati R. ; Mengko, R.K.W. ; Langi, A.Z.R.
Author_Institution :
Sch. of Electr. Eng. & Inf., InstitutTeknologi Bandung, Bandung, Indonesia
fYear :
2013
fDate :
7-8 Nov. 2013
Firstpage :
425
Lastpage :
430
Abstract :
In this paper we discuss three types of Artificial Neural Networks which are commonly used in classification process. Those are Kohonen´s Self-Organizing Map (SOM), Incremental Self-Organizing Map (ISOM), and Multi-Layer Perception Back Propagation (MLP-BP).
Keywords :
cardiology; medical signal processing; self-organising feature maps; signal classification; Artificial Neural Networks; ISOM; Incremental Self Organizing Map; Kohonen´s SOM; Kohonen´s Self Organizing Map; MLP-BP; MultiLayer Perception Back Propagation; digital heart sound classification; Artificial neural networks; Heart; Radiation detectors; Signal processing; Training; Valves; Vectors; artificial neural network; classification; heart sound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2013 3rd International Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4799-1649-8
Type :
conf
DOI :
10.1109/ICICI-BME.2013.6698540
Filename :
6698540
Link To Document :
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