Article: Recent submissions
Now showing items 1-20 of 31
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EEG-based Mouse Cursor Control using Motor Imagery Brain-Computer Interface
(IEEE, 2024-05-03)Brain-computer interface (BCI) is a system that collects, analyzes, and transforms brain signals into commands. The brain experiences repetitive, oscillatory electrical changes caused by these activities that have a very ... -
Effect of artifact removal on EEG based motor imagery BCI applications
(SPIE Digital Library, 2024-01-29)Brain computer interface (BCI) is an emerging technology where the user can establish direct communication between the electrical device and himself without any physical exertion. The EEG signal is a noninvasive and low-cost ... -
Editorial: Recent advances in EEG (non-invasive) based BCI applications
(Frontiers, 2023-03-02) -
EEG-Based Preference Classification for Neuromarketing Application
(Hindawi, 2023-03-01)Neuromarketing is a modern marketing research technique whereby consumers’ behavior is analyzed using neuroscientific approaches. In this work, an EEG database of consumers’ responses to image advertisements was created, ... -
Machine Learning Model for Computer-Aided Depression Screening among Young Adults Using Wireless EEG Headset
(Hindawi, 2023-05-31)Depression is a disorder that if not treated can hamper the quality of life. EEG has shown great promise in detecting depressed individuals from depression control individuals. It overcomes the limitations of traditional ... -
Intelligent fuzzy system for automatic artifact detection and removal from EEG signals
(Elsevier, 2022-10-05)The EEG signals were used in many medical and technological applications such as diagnosis of diseases, rehabilitation of disabled peoples, preventive healthcare, BCI (brain computer interface) systems. EEG signal is prone ... -
Application of Machine Learning on ECG Signal Classification Using Morphological Features
(IEEE, 2020-06)An electrocardiogram (ECG) is a simple test that is used to check one's heart's electrical activity. Sensors attached to the skin are used to detect the electrical signal produced by one's heart each time it beats. Many ... -
RFID in Healthcare Systems:
(2020-10-19)Everyone has heard about tragic wrong-site, wrong-patient and wrong-procedure surgeries. Using an RFID tag attached to a patient, a physician can now verify the correct patient, procedure and site − prior to the start of ... -
Distance Dependent Service Differentiation of the IEEE 802.11e EDCA on Single Access Point Based WLAN Systems
(Journal of the Bangladesh Electronics Society, 2020-10-19)The IEEE 802.11e Enhanced Distributed Channel Access (EDCA) protocol allows class based differentiated Quality of service (QoS) in a wireless local area network (WLAN). Different fixed values of two certain parameters; ... -
Use of Chipless RFID for Protecting Drug Counterfeit in Upcoming Digital Bangladesh
(International Journal of Mobile & Adhoc Network, 2020-10-19)Problem of drug counterfeiting is a very severe issue in the healthcare sector that may sometimes become fatal. Drug counterfeiting is increasing day by day because of lack of legal protection and technology to identity ... -
Signal Artifacts and Techniques for Artifacts and Noise Removal
(Springer, 2020-10-08)Biosignals have quite low signal-to-noise ratio and are often corrupted by different types of artifacts and noises originated from both external and internal sources. The presence of such artifacts and noises poses a ... -
Influence of particle shape on the efficacy of plasmonic metal nanoparticles to enhance the energy conversion efficiency of thin-film solar cells
(IEEE, 2020-10-07)The energy conversion efficiency of solar cells can be enhanced significantly due to the effect of coupling the solar cells with plasmonic nanostructures. However, while the advantage of using plasmonic nanostructures has ... -
Effect of varying the row and column size of periodic arrays of plasmonic nanoparticles on the energy conversion efficiency of thin-film solar cells
(2020-10-07)The use of plasmonic nanostructures in enhancing the energy conversion efficiency of solar cells has been of great interest in recent times. While much of this interest has resulted in research for analyzing the metals ... -
Performance Evaluation of 1kW Asynchronous and Synchronous Buck Converter-based Solar-powered Battery Charging System for Electric Vehicles
(IEEE, 2020-09-05)This paper presents the design and evaluates the system performance of one-kilowatt capacity asynchronous and synchronous buck converter based solar-powered charging systems for battery-driven electric vehicles. The dc ... -
Dual-Core Photonic Crystal Fiber-Based Plasmonic RI Sensor in the Visible to Near-IR Operating Band
(IEEE, 2020-10-04)In this paper, a dual-core photonic crystal fiber (DC-PCF) based surface plasmon resonance (SPR) bio-compatible sensor is proposed for various bio-organic molecules and biochemical analytes refractive index (RI) detection ... -
A Web-Based Hospital Automation System for Bangladesh
(International Journal of Pure and Applied Mathematics, 2020-09-21)Medical record-keeping is well advanced in developing countries, but has just begun in developing countries like Bangladesh. The use of electronic medical systems can resolve many chronic inefficiencies and poor service ... -
Use of spontaneous blinking for application in human authentication
(Elsevier, 2020-08)Contamination of electroencephalogram (EEG) signals due to natural blinking electrooculogram (EOG) signals is often removed to enhance the quality of EEG signals. This paper discusses the possibility of using solely ... -
Design and Implementation of an EOG-based Mouse Cursor Control for Application in Human-Computer Interaction
(IOP, 2020-03-01)Human Computer Interaction (HCI) has turned into an emerging technology due to the advancement in the field artificial intelligence and biomedical engineering. Acquiring different bio-signals such as Electro-oculography ... -
Classification of Emotions Induced by Horror and Relaxing Movies Using Single-Channel EEG Recordings
(Institute of Advanced Engineering and Science (IAES), 2020-08)It has been observed from recent studies that corticolimbic Theta rhythm from EEG recordings perceived as fear or threatening scene during neural processing of visual stimuli. In additions, neural oscillations’ patterns ... -
Probability Mapping Based Artifact Detection and Wavelet Denoising based Artifact Removal from Scalp EEG for BCI Applications
(IEEE, 2019-02-25)In EEG-based Brain-Computer Interface (BCI) applications, the EEG recording is often contaminated by different types of artifacts that can misinterpret the BCI output. Automatic detection and removal of such offending ...
