Search
Now showing items 61-70 of 85
Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The utility of EEG-fMRI is limited by the large artefact voltages produced in EEG recordings made during concurrent fMRI. Novel approaches for reducing the magnitude and variability of the artefacts are, therefore, required. ...
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) ...
Wind power integration with smart grid and storage system: Prospects and limitations
(
Science and Information Organization
, 2020 , Article)
Wind power generation is playing a pivotal role in adopting renewable energy sources in many countries. Over the past decades, we have seen steady growth in wind power generation throughout the world. This article aims to ...
A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis
(
MDPI AG
, 2020 , Article)
Gait analysis is a systematic study of human locomotion, which can be utilized in various applications, such as rehabilitation, clinical diagnostics and sports activities. The various limitations such as cost, non-portability, ...
Motion Artifacts Correction from EEG and fNIRS Signals Using Novel Multiresolution Analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Physiological signal measurement and processing are increasingly becoming popular in the ambulatory setting as the hospital-centric treatment is moving towards wearable and ubiquitous monitoring. Most of the physiological ...
Transfer learning with deep Convolutional Neural Network (CNN) for pneumonia detection using chest X-ray
(
MDPI AG
, 2020 , Article)
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either bacterial or viral infection. It can be life-endangering if not acted upon at the right time and thus the early diagnosis of pneumonia is ...
Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array
(
Nature Research
, 2022 , Article)
In this paper, proposes a microwave brain imaging system to detect brain tumors using a metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. The antenna is comprised of metamaterial-loaded with ...
COVID-19 infection map generation and detection from chest X-ray images
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ...
Microwave breast imaging using compressed sensing approach of iteratively corrected delay multiply and sum beamforming
(
MDPI
, 2021 , Article)
Microwave imaging (MI) is a consistent health monitoring technique that can play a vital role in diagnosing anomalies in the breast. The reliability of biomedical imaging diagnosis is substantially dependent on the imaging ...
An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Traditional waste management system operates based on daily schedule which is highly inefficient and costly. The existing recycle bin has also proved its ineffectiveness in the public as people do not recycle their waste ...