Biomedical signal processing

Understanding the nonlinear behavior of EEG with advanced machine learning in artifact elimination
Steady-state Visually Evoked Potential (SSVEP) based Electroencephalogram (EEG) signal is utilized in brain-computer interface …
Md Samiul Haque Sunny, Shifat Hossain, Nashrah Afroze, Md Kamrul Hasan, Eklas Hossain, Mohammad H Rahman
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Understanding the nonlinear behavior of EEG with advanced machine learning in artifact elimination
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Recently, electroencephalogram-based emotion recognition has become crucial in enabling the Human-Computer Interaction (HCI) system to …
Md Rabiul Islam, Mohammad Ali Moni, Md Milon Islam, Md Rashed-Al-Mahfuz, Md Saiful Islam, Md Kamrul Hasan, Md Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, Akm Azad, Salem A. Alyami, Md Atiquar Rahman Ahad, Pietro Lio
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Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network
People undergoing neuromuscular dysfunctions and amputated limbs require automatic prosthetic appliances. In developing such …
Md Kamrul Hasan, Sifat Redwan Wahid, Faria Rahman, Shanjida Khan Maliha, Sauda Binte Rahman
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Grasp-and-Lift Detection from EEG Signal Using Convolutional Neural Network
Prediction of Epileptic Seizure by Analysing Time Series EEG Signal Using kNN Classifier
Electroencephalographic signal is a representative signal that contains information about brain activity, which is used for the …
Md. Kamrul Hasan, Md. Asif Ahamed, Mohiuddin Ahmad, M. A and Rashid
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Prediction of Epileptic Seizure by Analysing Time Series EEG Signal Using kNN Classifier
User Independency of SSVEP Based Brain Computer Interface Using ANN Classifier: Statistical Approach
BCIs, which elaborated as Brain-computer Interface that use brain responses to control the BCI paradigms. These brain responses are …
Md. Kamrul Hasan, Md. Samiul H. Sunny, Shifat Hossain, Mohiuddin Ahmad
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User Independency of SSVEP Based Brain Computer Interface Using ANN Classifier: Statistical Approach
Drowsiness Detection for the Perfection of Brain Computer Interface Using Viola-jones Algorithm
Security and reconnaissance applications are prominent BCI paradigms which are less complex and sophisticated if there is no …
Md. Kamrul Hasan, S. M. Hasnat Ullah, Shantanu Sen Gupta, Mohiuddin Ahmad
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Drowsiness Detection for the Perfection of Brain Computer Interface Using Viola-jones Algorithm
Performance Analysis of SSVEP Based Wireless Brain Computer Interface for Wet and Dry Electrode
A Brain-computer Interface (BCI) is a communication pathway to provide ease to the users for interacting with the outside surroundings …
Md. Kamrul Hasan, Chayan Mondal, Mohiuddin Mahmud, Nahid Al , Ahmad
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Performance Analysis of SSVEP Based Wireless Brain Computer Interface for Wet and Dry Electrode
Alpha Band Dependency of EEG Signal on Different Stimulation of Brain for Human Computer Interaction
Brain-computer Interfaces (BCIs) are the communicating bridges between the human brain and a computer which may be implemented on the …
Md. Kamrul Hasan, Nahid Al Mahmud, Md. Shazzad Hossain, and Mohiuddin Ahmad
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Alpha Band Dependency of EEG Signal on Different Stimulation of Brain for Human Computer Interaction
Design and implementation of low cost ECG monitoring system for the patient using smartphone
Electrocardiographic (ECG) equipment plays a vital role for diagnosis of cardiac disease. However, the cost of this equipment is huge …
Md Asif Ahamed, Md Kamrul Hasan, Md Shahabul Alam
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Design and implementation of low cost ECG monitoring system for the patient using smartphone
Prediction of disease level using multilayer perceptron of Artificial Neural Network for patient monitoring
ANN has been proved as a powerful discriminating classifier for tasks in medical diagnosis for early detection of diseases. In our …
Md Osman Goni Nayeem, Maung Ning Wan, Md Kamrul Hasan
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Prediction of disease level using multilayer perceptron of Artificial Neural Network for patient monitoring