A systematic literature review of enabling IoT in healthcare: Motivations, challenges, and recommendations

HH Mohamad Jawad, Z Bin Hassan, BB Zaidan… - Electronics, 2022 - mdpi.com
Internet of things (IoT) has revolutionized how we utilize technology over the past decade.
IoT's rapid growth affects several fields, including the healthcare sector. As a result, the …

A deformable CNN architecture for predicting clinical acceptability of ECG signal

JP Allam, S Samantray, SP Sahoo, S Ari - Biocybernetics and Biomedical …, 2023 - Elsevier
The degraded quality of the electrocardiogram (ECG) signals is the main source of false
alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to …

TrustHealth: Enhancing eHealth Security with Blockchain and Trusted Execution Environments

J Li, X Luo, H Lei - Electronics, 2024 - mdpi.com
The rapid growth of electronic health (eHealth) systems has led to serious security and
privacy challenges, highlighting the critical importance of protecting sensitive healthcare …

Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model

NP Venkatesh, RP Kumar, BC Neelapu, K Pal… - … Signal Processing and …, 2024 - Elsevier
Atrial arrhythmias are more frequently encountered arrhythmias with a significant impact on
mortality and morbidity. Electrocardiogram (ECG) consisting of P, Q, R, S, and T waves is a …

Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review.

M Drira, S Ben Hassine, M Zhang… - Applied Sciences (2076 …, 2024 - search.ebscohost.com
This study conducts an ethics-centered analysis of the AI/ML models used in Student Mental
Health (SMH) research, considering the ethical principles of fairness, privacy, transparency …

Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification

J Liu, M Feng, X Xiu, W Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sparse linear discriminant analysis (LDA) is a popular machine learning method that
improves the accuracy of data classification by introducing sparsity. However, its …

[PDF][PDF] A Systematic Literature Review of Enabling IoT in Healthcare: Motivations, Challenges, and Recommendations. Electronics 2022, 11, 3223

HHM Jawad, ZB Hassan, BB Zaidan, FHM Jawad… - 2022 - researchgate.net
Internet of things (IoT) has revolutionized how we utilize technology over the past decade.
IoT's rapid growth affects several fields, including the healthcare sector. As a result, the …

OGM: Online gaussian graphical models on the fly

S Yang, H Xiong, Y Zhang, Y Ling, L Wang, K Xu… - Applied …, 2022 - Springer
Abstract Gaussian Graphical Model is widely used to understand the dependencies
between variables from high-dimensional data and can enable a wide range of applications …