Md. Hasin R. Rabbani

Work place: Department of Electronics & Communication Engineering, Khulna university of Engineering & Technology, Khulna, Bangladesh



Research Interests: Medicine, Medicine & Healthcare


Md. Hasin R. Rabbani was born on 2 nd August, 1995 in Naogaon; a northern district of Bangladesh. Currently, he is working as a Teaching Assistant (TA) and pursuing his MS degree at the department of Electronics & Communication Engineering (ECE) in Khulna University of Engineering & Technology (KUET), Khulna. He completed his B.Sc.Engg.(ECE) from KUET in 2018. His major research interests include biomedical signal processing and classification, detection of diseases from biomedical signals in a non-invasive way etc.

Author Articles
Detection of Different Brain Diseases from EEG Signals Using Hidden Markov Model

By Md. Hasin R. Rabbani Sheikh Md. Rabiul Islam

DOI:, Pub. Date: 8 Oct. 2019

The brain imaging device, Electroencephalography (EEG) provides several advantages over other brain signals like Functional Near-infrared Spectroscopy (fNIRS) and Functional Magnetic Resonance Imaging (fMRI). It is non-invasive and easily applicable. EEG provides high temporal resolution with a low setup cost. EEG signals of several subjects which record electric potential caused by neurons firing in the brain are undergone a Hidden Markov Model (HMM) classification technique. We are particularly interested to detect the brain diseases from EEG signals by an HMM probabilistic model. This HMM model is built with a given initial probability matrix of five different states, namely, epilepsy, seizure, dementia, stroke and normality. The transition probability matrix is updated after each iteration of parameter estimation using Baum-Welch algorithm (B-W algorithm).

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