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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=665233