A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review

JS Suri, M Bhagawati, S Paul, AD Protogerou… - Diagnostics, 2022 - mdpi.com
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …

Focal and non-focal epilepsy localization: A review

AF Hussein, N Arunkumar, C Gomes… - IEEE …, 2018 - ieeexplore.ieee.org
The focal and non-focal epilepsy is seen to be a chronic neurological brain disorder, which
has affected million people in the world. Hence, an early detection of the focal epileptic …

Design of an optimal piece-wise spline Wigner-Ville distribution for TFD performance evaluation and comparison

M Al-Sa'd, B Boashash… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes a new performance evaluation process for time-frequency distributions
(TFD) by designing a reference optimal TFD and novel accuracy and resolution measures …

Network vulnerability analysis on brain signal/image databases using Nmap and Wireshark tools

G Bagyalakshmi, G Rajkumar, N Arunkumar… - Ieee …, 2018 - ieeexplore.ieee.org
Brain signal processing is important for not only the physiologist doing analysis
investigation, but also for the clinician inspecting patients, biomedical engineer who is …

An automated high-accuracy detection scheme for myocardial ischemia based on multi-lead long-interval ECG and Choi-Williams time-frequency analysis …

AF Hussein, SJ Hashim, FZ Rokhani, WA Wan Adnan - Sensors, 2021 - mdpi.com
Cardiovascular Disease (CVD) is a primary cause of heart problems such as angina and
myocardial ischemia. The detection of the stage of CVD is vital for the prevention of medical …

A deep learning-based sepsis estimation scheme

BY Al-Mualemi, L Lu - Ieee Access, 2020 - ieeexplore.ieee.org
The objective of this research is to design and implement a machine learning (ML) based
technique that can predict cases of septic shock and extreme sepsis and assess its effects …

Feature extraction methods for electroretinogram signal analysis: A review

S Behbahani, H Ahmadieh, S Rajan - IEEE Access, 2021 - ieeexplore.ieee.org
Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The
extracted features are beneficial to analyze the signal further and compress the signal for …

An adaptive biomedical data managing scheme based on the blockchain technique

AF Hussein, AK ALZubaidi, QA Habash, MM Jaber - Applied Sciences, 2019 - mdpi.com
A crucial role is played by personal biomedical data when it comes to maintaining proficient
access to health records by patients as well as health professionals. However, it is difficult to …

Radarcardiograph signal modeling and time-frequency analysis

I Lenz, Y Rong, DW Bliss - 2023 IEEE Radar Conference …, 2023 - ieeexplore.ieee.org
In this paper, we delve deeper into recent advancements in radar based biomedical
measurements that capture fine movements associated with human heart sounds. We call …

Clinical decision support system for alcoholism detection using the analysis of EEG signals

L Jiajie, K Narasimhan, V Elamaran… - IEEE …, 2018 - ieeexplore.ieee.org
Alcoholism is an adverse situation that changes the functioning of important part of nervous
system which is neuron. This changes the functional behavior of alcoholic person. The …