Apply fuzzy vector quantization to improve the observation-based Discrete Hidden Markov Model — An example on electroencephalogram (EEG) signal recognition

2011 ◽  
Author(s):  
Shing-Tai Pan ◽  
Sheng-Fu Liang ◽  
Tzung-Pei Hong ◽  
Jian-Hong Zeng
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Vector Quantization ◽  
Hidden Markov ◽  
Eeg Signal ◽  
Signal Recognition ◽  
Electroencephalogram Eeg ◽  
Fuzzy Vector Quantization ◽  
Fuzzy Vector

A Discrete-Wavelet-Transform- and Hidden-Markov-Model-Based Approach for Epileptic Focus Localization

2018 ◽  
pp. 34-45 ◽  
Author(s):  
Deba Prasad Dash ◽  
Maheshkumar .H Kolekar
Keyword(s):  
Wavelet Transform ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Discrete Wavelet Transform ◽  
Hidden Markov ◽  
Focal Seizure ◽  
Epileptic Focus ◽  
Discrete Wavelet ◽  
Eeg Signal ◽  
Focus Localization

Epilepsy is the most common neurological disorder with 40-50 million people suffering with it worldwide. Epilepsy is not life threatening but it disables the person to a greater extent due to its uncertainty of occurrences. Epilepsy is detected by repeated occurrences of seizure. Seizure can be generated in brain due to abnormal activity of group of neurons caused by brain tumor, genetic problem, infection, hemorrhage etc. Seizure can be detected by observing the variation in Electroencephalogram (EEG) signal. Focal seizure is defined as seizure localized in one lobe of brain. In this chapter discrete wavelet transform and Hidden Markov Model based focal seizure detection method is proposed for epileptic focus localization. EEG signal was decomposed up to level 5 using dual tree complex wavelet transform and entropy features such as collision entropy, minimum and modified sample entropy were extracted. Hidden Markov model was used for classification purpose. Maximum 80% accuracy was achieved in detecting focal and non-focal EEG signal.

Hidden Markov Model and Learning Vector Quantization for Indonesian Speech Recognition: A Comparative Study

2017 ◽  
Vol 23 (7) ◽  
pp. 6555-6558 ◽  
Author(s):  
Sukmawati Nur Endah ◽  
Priyo Sidik Sasongko ◽  
Helmie Arif Wibawa ◽  
Sutikno ◽  
Retno Kusumaningrum
Keyword(s):  
Speech Recognition ◽  
Comparative Study ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Vector Quantization ◽  
Hidden Markov ◽  
Learning Vector Quantization
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