Evolvable Block-based Neural Networks for real-time classification of heart arrhythmia from ECG signals

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012

Volumn , Issue , 2012, Pages 866-871

  Nambiar, Vishnu P ^a   Khalil Hani, Mohamed ^a   Marsono, M N ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Block based neural networks (BbNNs); electrocardiogram (ECG); genetic algorithm (GA); heart arrhythmia; system on chip (SoC)

Indexed keywords

ARRHYTHMIA CLASSIFICATION; BLOCK-BASED NEURAL NETWORKS; ELECTRICAL ACTIVITIES; ELECTROCARDIOGRAM SIGNAL; HARDWARE IMPLEMENTATIONS; HEART ARRHYTHMIAS; RESOURCE CONSUMPTION; SYSTEM-ON-CHIP;

APPLICATION SPECIFIC INTEGRATED CIRCUITS; BIOMEDICAL ENGINEERING; DISEASES; FEATURE EXTRACTION; GENETIC ALGORITHMS; HARDWARE; HEART; POLYNOMIALS; PROGRAMMABLE LOGIC CONTROLLERS;

ELECTROCARDIOGRAPHY;

EID: 84876750835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECBES.2012.6498165     Document Type: Conference Paper

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