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Md. Asadur Rahman, PhD
Md. Asadur Rahman, PhD
Assistant Professor, Department of BME, Military Institute of Science and Technology (MIST)
Verified email at bme.mist.ac.bd
Title
Cited by
Cited by
Year
Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal
MA Rahman, MF Hossain, M Hossain, R Ahmmed
Egyptian Informatics Journal 21 (1), 23-35, 2020
1732020
A narrative review on clinical applications of fNIRS
MA Rahman, AB Siddik, TK Ghosh, F Khanam, M Ahmad
Journal of Digital Imaging 33 (5), 1167-1184, 2020
1092020
Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation
MA Rahman, F Khanam, M Ahmad, MS Uddin
Brain informatics 7 (1), 7, 2020
602020
Selecting the optimal conditions of Savitzky–Golay filter for fNIRS signal
MA Rahman, MA Rashid, M Ahmad
Biocybernetics and biomedical engineering 39 (3), 624-637, 2019
572019
Emotion recognition from EEG-based relative power spectral topography using convolutional neural network
MA Rahman, A Anjum, MMH Milu, F Khanam, MS Uddin, MN Mollah
Array 11, 100072, 2021
482021
Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network
MA Rahman, MS Uddin, M Ahmad
Health Information Science and Systems 7 (1), 22, 2019
392019
A narrative analysis on deep learning in IoT based medical big data analysis with future perspectives
TT Chhowa, MA Rahman, AK Paul, R Ahmmed
2019 International conference on electrical, computer and communication …, 2019
332019
Evaluating alpha relative power of EEG signal during psychophysiological activities in Salat
F Khanam, MA Rahman, M Ahmad
2018 International Conference on Innovations in Science, Engineering and …, 2018
242018
Baseline wandering removal from ECG signal by wandering path finding algorithm
MA Rahman, MMH Milu, A Anjum, F Khanam, M Ahmad
2017 3rd International Conference on Electrical Information and …, 2017
242017
Four-class motor imagery EEG signal classification using PCA, wavelet and two-stage neural network
MA Rahman, F Khanam, MK Hossain, MK Alam, A Mohiuddin
International Journal of Advanced Computer Science and Applications 10 (5), 2019
222019
A combined view of B-cell epitope features in antigens
N Zobayer, ABMA Hossain, MA Rahman
Bioinformation 15 (7), 530, 2019
202019
Muscle activity estimation through surface EMG analysis during salat
F Khanam, S Islam, MA Rahman, M Ahmad
2015 International Conference on Electrical Engineering and Information …, 2015
202015
Movement related events classification from functional near infrared spectroscopic signal
MA Rahman, M Ahmad
2016 19th International Conference on Computer and Information Technology …, 2016
182016
Common spatial pattern in frequency domain for feature extraction and classification of multichannel EEG signals
PK Saha, MA Rahman, MK Alam, A Ferdowsi, MN Mollah
SN Computer Science 2, 1-11, 2021
172021
Classification of motor imagery events from prefrontal hemodynamics for BCI application
M Asadur Rahman, M Mahmudul Haque, A Anjum, M Nurunnabi Mollah, ...
Proceedings of International Joint Conference on Computational Intelligence …, 2020
172020
An advanced algorithm combining SVM and ANN classifiers to categorize tumors with position from brain MRI images
R Ahmmed, MA Rahman, MF Hossain
Advances in Science, Technology and Engineering Systems Journal 3 (2), 40-48, 2018
172018
A statistical designing approach to MATLAB based functions for the ECG signal preprocessing
MA Rahman, MMH Milu, A Anjum, AB Siddik, MMH Sifat, MR Chowdhury, ...
Iran Journal of Computer Science 2, 167-178, 2019
162019
Single channel electrooculography based human-computer interface for physically disabled persons
PP Banik, MK Azam, C Mondal, MA Rahman
2015 international conference on electrical engineering and information …, 2015
162015
Emotional state classification from music-based features of multichannel EEG signals
SA Hossain, MA Rahman, A Chakrabarty, MA Rashid, A Kuwana, ...
Bioengineering 10 (1), 99, 2023
152023
Activation modeling and classification of voluntary and imagery movements from the prefrontal fNIRS signals
MA Rahman, MA Rashid, M Ahmad, A Kuwana, H Kobayashi
IEEE Access 8, 218215-218233, 2020
152020
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