Human hearing disorder recognition model using eeg-aep based signal

QR Code

Human hearing disorder recognition model using eeg-aep based signal

Hearing deficiency is the most prevalent sensory impairment worldwide, impeding human learning and communication. The appropriate technique for dealing with this concern is an early and accurate hearing diagnosis using an electroencephalogram (EEG). The most significant modality for diagnosing heari...

Full description

Bibliographic Details
Main Author:	Md Nahidul, Islam
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/37653/ http://umpir.ump.edu.my/id/eprint/37653/1/ir.Human%20hearing%20disorder%20recognition%20model%20using%20eeg-aep%20based%20signal.pdf

Similar Items

An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals
by: Islam, Md Nahidul, et al.
Published: (2021)

Hearing disorder detection using auditory evoked potential (AEP) signals
by: Islam, Md Nahidul, et al.
Published: (2020)

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline
by: Islam, Md Nahidul, et al.
Published: (2021)

Investigation of time-domain and frequency-domain based features to classify the EEG auditory evoked potentials (AEPs) responses
by: Islam, Md Nahidul, et al.
Published: (2022)

A hybrid scheme for AEP based hearing deficiency diagnosis: CWT and convoluted k-nearest neighbour (CKNN) pipeline
by: Islam, Md Nahidul, et al.
Published: (2022)

Auditory Evoked Potential (AEP) Based Brain-Computer Interface (BCI) Technology: A Short Review
by: Islam, Md Nahidul, et al.
Published: (2021)

Ensemble-based machine learning models for vehicle drivers’ fatigue state detection utilizing EEG signals
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach
by: Islam, Md Nahidul, et al.
Published: (2022)

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

Diagnosis of hearing impairment based on wavelet transformation and machine learning approach
by: Islam, Md. Nahidul, et al.
Published: (2022)

EEG mechanism interaction to evaluate vehicle’s driver microsleep
by: Hazim, Yusof, et al.
Published: (2022)

Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
by: Norizam, Sulaiman, et al.
Published: (2024)

Offline LabVIEW-based EEG Signals Analysis for Human Stress Monitoring
by: Norizam, Sulaiman, et al.
Published: (2019)

Investigation of electroencephalogram (EEG) sensor position for brain-controlled home automation
by: Norizam, Sulaiman, et al.
Published: (2022)

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

Development of EEG-based system to identify student learning attention ability
by: Norizam, Sulaiman, et al.
Published: (2022)

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

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

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

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

Development of smart security system for building or laboratory entrance based on human’s brain (EEG) and voice signals
by: Norizam, Sulaiman, et al.
Published: (2018)

An enhanced stress indices in signal processing based on advanced matthew correlation coefficient (MCCA) and multimodal function using EEG signal
by: Zarith Liyana, Zahari
Published: (2023)

Automatic microsleep detection based on KNN classifier utilizing selected and effective EEG channels
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam
by: Asrul, Adam
Published: (2017)

Analysis of EEG signals using mathematical morphology decomposition and kurtosis: Detection of epileptiforms
by: Qayoom, Abdul, et al.
Published: (2014)

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)

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 EEG signal analysis for microsleep detection: Hyper-Opt-ANN as a key solution
by: Hassan, Md Mahmudul, et al.
Published: (2025)

Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2023)

A study of engineering student IQ and EQ based on analyzing of electroencephalogram (EEG) signals
by: Afiqah, Norsepri, et al.
Published: (2023)

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

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

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

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

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

Microsleep Predicting Comparison Between LSTM and ANN Based on the Analysis of Time Series EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Facial recognition for human disposition identification
by: Anbananthan Pillai, Munanday
Published: (2022)

Offline LabVIEW-Based EEG Signals Analysis to Detect Vehicle Driver Microsleep
by: Norizam, Sulaiman, et al.
Published: (2020)