Syed Khairul Bashar, Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
In this paper, Dual Tree Complex Wavelet Transform (DTCWT) domain based feature extraction method has been proposed to identify left and right hand motor imagery movements from electroencephalogram (EEG) signals. After first performing auto-correlation of the EEG signals to enhance the weak brain si...
Md. Moshiur Rahman, Farhana Akter Mou, Mohammed Imamul Hassan Bhuiyan, Mohammad Rakibul Islam
A circular sectored core cladding structured photonic crystal fiber (PCF) is presented in this article, where core and cladding are sectored by few number of rectangles. The air fragments of core and cladding are constructed with circular manner that can facilitate the fabrication process. To design...
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Automated sleep stage classification is essential for alleviating the burden of physicians since a large volume of data have to be analyzed per examination. Most of the existing works in the literature are multichannel based or yield poor classification performance. A single-channel based computeriz...
Md. Moshiur Rahman, Farhana Akter Mou, Mohammed Imamul Hassan Bhuiyan, Mohammad Rakibul Islam
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
This work analyzes the suitability of spectral features in the Dual Tree Complex Wavelet Transform (DT-CWT) domain for EEG signal analysis by propounding a DT-CWT based feature extraction scheme. Unlike discrete wavelet transform-DT-CWT ensures limited redundancy and provides approximate shift invar...
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan, Samiul Alam
In this paper, a statistical method for automatic detection of seizure and epilepsy in the dual-tree complex wavelet transform(DT-CWT) domain is proposed. Variances calculated from the EEG signals and their DT-CWT sub-bands are utilized as features in the classifiers such as artificial neural networ...
Suhail Najeeb, Nowshin Sharmile, Md. Sajid Khan, Ipsita Sahin et al.
Biomedical image classification for diseases is a lengthy and manual process. However recent progresses in computer vision has enabled detection and classification of medical images using machine intelligence a more feasible solution. We explore the possibility of automated detection and classificat...
Syed Khairul Bashar, Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
In this paper, a novel method consisting of multivariate empirical mode decomposition (MEMD) and short time Fourier transform (STFT) is proposed to identify left and right imagery hand movements from electroencephalogram (EEG) signals. Experiments are carried out using the publicly available benchma...
Afsana Ahamed, Mohammed Imamul Hassan Bhuiyan
In this paper, a low complexity technique is proposed for iris recognition in the curvelet transform domain. The proposed method does not require the detection of outer boundary and decreases unwanted artefacts such as the eyelid and eyelash. Thus, the time required for preprocessing of an iris imag...
Ahnaf Rashik Hassan, Syed Khairul Bashar, Mohammed Imamul Hassan Bhuiyan
An algorithm for apnea identification using one-lead electrocardiogram is presented in this article. Segments of ECG signals are fed into dual-tree complex wavelet transform (DT-CWT) to generate frequency sub-bands. Three statistical moment parameters are then developed from the DT-CWT outputs. The ...
Barproda Halder, Tanvir Anjum, Mohammed Imamul Hassan Bhuiyan
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan, Samiul Alam
In this paper, a comprehensive statistical analysis of electroencephalogram (EEG) signals is carried out in the dual tree complex wavelet transform domain using a publicly available EEG database. It is shown that variance and kurtosis can be effective in distinguishing EEG signals at sub-band levels...
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan
In this paper, a comprehensive analysis for the discrimination of the focal and non-focal electroencephalography (EEG) signals is carried out in the ensemble empirical mode decomposition (EEMD) and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) domains. A number of spec...
Farhana Akter Mou, Md. Moshiur Rahman, Md. Abdullah Al Mahmud, Mohammad Rakibul Islam et al.
In this article a hexagonal core structured photonic crystal fiber (PCF) is demonstrated for Terahertz (THz) wave propagation where the cladding is suspended by a number of rectangles. The geometrical design and wave guiding properties characterization are done by Finite Element Method (FEM) based c...
Md. Moshiur Rahman, Farhana Akter Mou, Md. Abdullah Al Mahmud, Mohammed Imamul Hassan Bhuiyan
A porous core terahertz (THz) waveguide consists of sectored cladding and square core photonic crystal fiber (PCF) is designed with low losses and flattened dispersion. The mode test and others wave guiding properties are evaluated by using finite element method (FEM) and a perfectly matched layer (...