Electrical and Electronics Engineering
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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 ... -
A 13µW 87dB dynamic range implantable ΔΣ modulator for full-spectrum neural recording
(IEEE, 2013-09-26)Experiment analysis on in-vivo data sequences suggests a wide system dynamic range (DR) is required to simultaneously record local field potentials (LFPs), extra-cellular spikes, and artifacts/interferences. In this paper, ... -
Emotion classification using single-channel scalp-EEG recording
(IEEE, 2016-10-18)Several studies have found evidence for corticolimbic Theta electroencephalographic (EEG) oscillation in the neural processing of visual stimuli perceived as fear or threatening scene. Recent studies showed that neural ... -
Methods for Artifact Detection and Removal from Scalp EEG: A Review
(Elsevier, 2016-10-15)Electroencephalography (EEG) is the most popular brain activity recording technique used in wide range of applications. One of the commonly faced problems in EEG recordings is the presence of artifacts that come from sources ... -
A Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target
(Scientific & Academic Publishing, 2016)In this paper we focus on designing self-organizing diffusion mobile adaptive networks where the individual agents are allowed to move in pursuit of an target. The well-known Adapt-then-Combine (ATC) algorithm is already ... -
Steady-State Tracking Analysis of Adaptive Filter With Maximum Correntropy Criterion
(Springer, 2016-08-03)This letter studies the tracking performance of a stochastic gradient-based adaptive algorithm, namely the maximum correntropy criterion algorithm, where a random walk is used to model the non-stationarity. In our analysis, ... -
Frequency Estimation of Unbalanced Three-Phase Power Systems Using the Modified Adaptive Filtering
(Scientific & Academic Publishing, 2015-08)In this paper, the problem of frequency estimation using adaptive filters is addressed based on the augmented complex normalized least mean squares (ACNLMS) technique. In other words, motivated from ACLMS technique, a new ...
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