"Heart Murmur Recognition Based on Hidden Markov Model"
written by Lisha Zhong, Jiangzhong Wan, Zhiwei Huang, Gaofei Cao, Bo Xiao,
published by Journal of Signal and Information Processing, Vol.4 No.2, 2013
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Artificial gravitational cuckoo search algorithm along with particle bee optimized associative memory neural network for feature selection in heart disease classification
2019
[2] An efficient heart murmur recognition and cardiovascular disorders classification system
2019
[3] Algorithm for Presumptive Diagnosis of Cardiac Murmurs over Auscultated Heart Signals
2019
[4] Análise de sons do ciclo cardíaco utilizando técnicas de aprendizado de máquina para detecção de sopro cardíaco
2018
[5] A novel heart-mobile interface for detection and classification of heart sounds
Biomedical Signal Processing and Control, 2018
[6] Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM
Microscopy research and technique, 2018
[7] Recognition of Heart Murmur Based on Machine Learning and Visual Based Analysis of Phonocardiography
Intelligent Computing, 2018
[8] Supervised machine learning via Hidden Markov Models for accurate classification of plant stress levels & types based on imaged Chlorophyll fluorescence profiles & …
2017
[9] Supervised machine learning via Hidden Markov Models for accurate classification of plant stress levels & types based on imaged Chlorophyll fluorescence profiles & …
2017
[10] Improving the Recognition of Heart Murmur
International Journal of Advanced Computer Science and Applications, 2016
[11] Classification of the Heart Auscultation Signals.
2015
[12] Operating Sound Parameters Using Markov Model and Bayesian Filters in Automated Music Performance
F Hashimoto, M Miura - ist.mns.kyutech.ac.jp, 2014
[13] Operating Sound Parameters Using Markov Model and Bayesian Filters in Automated Music Performance.
NIME, 2014