Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

QR Code

Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

The classification of desired peaks in event-related electroencephalogram (EEG) signals becomes a challenging problem for brain signals researchers. The reasons are mainly because of the peak in the signals have been contaminated with various noises, the nature of non-stationary EEG signals, many pe...

Full description

Bibliographic Details
Main Author:	Asrul, Adam
Format:	Thesis
Published:	2017
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://studentsrepo.um.edu.my/7407/ http://studentsrepo.um.edu.my/7407/1/All.pdf http://studentsrepo.um.edu.my/7407/2/KHA130017_Final_PhD_Thesis.pdf

Similar Items

Feature Selection using Angle Modulated Simulated Kalman Filter for Peak Classification of EEG Signals
by: Asrul, Adam, et al.
Published: (2016)

Improving EEG Signal Peak Detection Using Feature Weight Learning of a Neural Network with Random Weights for Eye Event-Related Applications
by: Asrul, Adam, et al.
Published: (2017)

Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization
by: Mohd Zaidi, Mohd Tumari, et al.
Published: (2014)

Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network
by: Asrul, Adam, et al.
Published: (2016)

Feature Selection using Binary Simulated Kalman Filter for Peak Classification of EEG Signals
by: Badaruddin, Muhammad, et al.
Published: (2018)

Evaluation of Different Time Domain Peak Models using Extreme Learning Machine‐Based Peak Detection for EEG Signal
by: Asrul, Adam, et al.
Published: (2016)

The Classification of Wink-Based EEG Signals: The Identification of Significant Time-Domain Features
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm
by: Zuwairie, Ibrahim, et al.
Published: (2014)

Classification of EEG Signal for Body Earthing Application
by: Noor Aisyah , Ab Rahman, et al.
Published: (2017)

Dingle's Model-based EEG Peak Detection using a Rule-based Classifier
by: Asrul, Adam, et al.
Published: (2015)

Optimal input features selection of wavelet-based EEG signals using GA
by: Mohd. Daud, Salwani, et al.
Published: (2004)

Multiclass classification of systolic and diastolic peaks on open benchmark PPG signals: Performance evaluation
by: Simon, Noor liza, et al.
Published: (2022)

Effectiveness of farm waste management in Penang / Asrul Azali Kamaruddin
by: Kamaruddin, Asrul Azali
Published: (2006)

Feature Scaling For EEG Human Concentration Using Particle Swarm Optimization
by: K. G., Li, et al.
Published: (2017)

Novel Methods for Stress Features Identification using EEG Signals
by: Norizam, Sulaiman, et al.
Published: (2011)

Classification of mental tasks using de-noised EEG Signals
by: Mohd Daud, Salwani, et al.
Published: (2004)

Classification of mental tasks using de-noised EEG signals
by: Daud, Salwani, et al.
Published: (2004)

The Classification of Hallucination: The Identification of Significant Time-Domain EEG Signals
by: Chin, Hau Lim, et al.
Published: (2022)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Classification of mental tasks using fixed and adaptive autoregressive models of EEG signals
by: Huan,, NJ, et al.
Published: (2005)

Determination and classification of human stress index using non-parametric analysis of EEG signals
by: Norizam, Sulaiman
Published: (2015)

The classification of EEG signal processing using different machine learning techniques for BCI application
by: Rashid, Mamunur, et al.
Published: (2019)

Learners' Learning Style classification related to IQ and Stress based on EEG
by: Nazre, Abdul Rashid, et al.
Published: (2011)

The classification of EEG-based winking signals: a transfer learning and random forest pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

An evaluation of different fast fourier transform - transfer learning pipelines for the classification of wink-based EEG signals
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2020)

Real-time welding defect classification using peak count analysis of current signals with statistical validation
by: Afidatusshimah, Mazlan, et al.
Published: (2025)

Classification of EEG-based auditory evoked potentials using entropy-based features and machine learning techniques
by: Islam, Thamina, et al.
Published: (2023)

Enhancement of morlet mother wavelet in time–frequency domain in electroencephalogram (EEG) signals for driver fatigue classification
by: Rafiuddin, Abdubrani, et al.
Published: (2023)

Analysis of EEG Features to Control Multiple Devices
by: Rashid, Mamunur, et al.
Published: (2018)

Analysis of EEG features for brain computer interface application
by: Rashid, Mamunur, et al.
Published: (2019)

Signal-based feature extraction for makhraj emission point classification
by: Nurul Wahidah, Arshad, et al.
Published: (2022)

An effectiveness of EEG signal based on body earthing application
by: Zarith Liyana, Zahari, et al.
Published: (2022)

The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

The classification of electrooculography signals: A significant feature identification via mutual information
by: Hwa, Phua Jia, et al.
Published: (2022)

EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)

Variants of convolutional neural networks for classification of multichannel EEG signals: A study based on influence of music and emotion on human brain
by: Cheah, Kit Hwa
Published: (2021)

Robust classification of motor imagery EEG signals using statistical time–domain features
by: Khorshidtalab, Aida, et al.
Published: (2013)

Using neural network with random weights and mutual information for systolic peaks classification of PPG signals
by: Muhammad Haziq, Mohd Rasid, et al.
Published: (2020)

Interpretation of Human Thought using EEG Signals and LabVIEW
by: Norizam, Sulaiman, et al.
Published: (2014)