Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Background Automatic sleep scoring is essential owing to the fact that conventionally a large volume of data have to be analyzed visually by the physicians which is onerous, time-consuming and error-prone. Therefore, there is a dire need of an automated sleep staging scheme. New method In this work,...
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Background and objective Automatic sleep staging is essential for alleviating the burden of the physicians of analyzing a large volume of data by visual inspection. It is also a precondition for making an automated sleep monitoring system feasible. Further, computerized sleep scoring will expedite l...
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Md. Mosheyur Rahman, Mohammed Imamul Hassan Bhuiyan, Ahnaf Rashik Hassan
Sleep stage classification is an important task for the timely diagnosis of sleep disorders and sleep-related studies. In this paper, automatic scoring of sleep stages using Electrooculogram (EOG) is presented. Single channel EOG signals are analyzed in Discrete Wavelet Transform (DWT) domain employ...
Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan, Samiul Alam
Ahnaf Rashik Hassan, Syed Khairul Bashar, Mohammed Imamul Hassan Bhuiyan
Traditional sleep scoring based on visual inspection of Electroencephalogram (EEG) signals is onerous for sleep scorers because of the gargantuan volume of data that have to be analyzed per examination. Computer-aided sleep staging can alleviate the onus of the sleep scorers. Again, most of the exis...
Farhana Akter Mou, Md. Moshiur Rahman, Mohammad Rakibul Islam, Mohammed Imamul Hassan Bhuiyan
In recent years, photonic crystal fiber (PCF) in the THz regime has gained popularity very swiftly for wave guidance and sensing applications. The optical properties of PCF can be controlled by the fine tuning of the geometrical parameters. In this context, PCF geometry has been developed for THz wa...
Syed Khairul Bashar, Mohammed Imamul Hassan Bhuiyan
Effective online processing of electroencephalogram (EEG) signals is a prerequisite of brain computer interfacing (BCI). In this paper, we propose a hybrid method consisting of multivariate empirical mode decomposition (MEMD) and short time Fourier transform (STFT) to identify left and right hand im...
Md. Moshiur Rahman, Farhana Akter Mou, Mohammed Imamul Hassan Bhuiyan, Mohammad Rakibul Islam
Low density lipoprotein (LDL) cholesterol is the leading cause of heart diseases, peripheral artery diseases, and stroke. An accurate, flexible, and efficient detection process is very urgent for identifying the cholesterol. In this context, an octagonal shaped hollow core with eight head star cladd...
Md. Mosheyur Rahman, Mohammed Imamul Hassan Bhuiyan, Anindya Bijoy Das
Classification of focal and non-focal Electroencephalogram (EEG) signals is an important problem especially for the identification of epileptogenic sites in the brain. However, the number of research works reported in the literature is limited and most of them suffer from validation on a limited sca...
Ahnaf Rashik Hassan, Syed Khairul Bashar, Mohammed Imamul Hassan Bhuiyan
A portable and wearable yet low-power sleep monitoring system necessitates an automatic sleep scoring algorithm with the use of minimum number of recording channels. Computer-aided sleep staging is also important to eradicate the onus of sleep scorers of analyzing an enormous volume of data. The exi...
Mohammad Rakibul Islam, A. N. M. Iftekher, Farhana Akter Mou, Md. Moshiur Rahman et al.