Advancements in microprocessor architecture for ubiquitous AI—An overview on history, evolution, and upcoming challenges in AI implementation

FH Khan, MA Pasha, S Masud - Micromachines, 2021 - mdpi.com
Artificial intelligence (AI) has successfully made its way into contemporary industrial sectors
such as automobiles, defense, industrial automation 4.0, healthcare technologies …

Physiological closed-loop control (PCLC) systems: Review of a modern frontier in automation

MJ Khodaei, N Candelino, A Mehrvarz, N Jalili - Ieee Access, 2020 - ieeexplore.ieee.org
Over the past decade, there has been an unprecedented international focus on improved
quality and availability of medical care, which has reignited interest in clinical automation …

Design and implementation of a machine learning based EEG processor for accurate estimation of depth of anesthesia

W Saadeh, FH Khan, MAB Altaf - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Accurate monitoring of the depth of anesthesia (DoA) is essential for intraoperative and
postoperative patient's health. Commercially available electroencephalograph (EEG)-based …

An on-chip processor for chronic neurological disorders assistance using negative affectivity classification

AR Aslam, MAB Altaf - IEEE Transactions on Biomedical …, 2020 - ieeexplore.ieee.org
Chronic neurological disorders (CND's) are lifelong diseases and cannot be eradicated, but
their severe effects can be alleviated by early preemptive measures. CND's, such as …

Predicting postoperative delirium after microvascular decompression surgery with machine learning

Y Wang, L Lei, M Ji, J Tong, CM Zhou… - Journal of Clinical …, 2020 - Elsevier
Objective The aim of this study was to predict early delirium after microvascular
decompression using machine learning. Design Retrospective cohort study. Setting Second …

Estimating the depth of Anesthesia from EEG signals based on a deep residual shrinkage network

M Shi, Z Huang, G Xiao, B Xu, Q Ren, H Zhao - Sensors, 2023 - mdpi.com
The reliable monitoring of the depth of anesthesia (DoA) is essential to control the
anesthesia procedure. Electroencephalography (EEG) has been widely used to estimate …

A single led photoplethysmography-based noninvasive glucose monitoring prototype system

A Hina, H Nadeem, W Saadeh - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Continuous glucose monitoring is essential for patients to avoid complications of both
hypoglycemia and hyperglycemia. This paper presents a novel non-invasive continuous …

A multilayer perceptron (MLP) regressor network for monitoring the depth of anesthesia

MI Dutt, W Saadeh - 2022 20th IEEE Interregional NEWCAS …, 2022 - ieeexplore.ieee.org
Monitoring the depth of anesthesia (DoA) during surgical procedures is very critical for
patients' health. Any inaccurate dosage of the anesthetic agents can result in postoperative …

Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features

T Li, Y Huang, P Wen, Y Li - Brain Informatics, 2024 - Springer
Accurate monitoring of the depth of anesthesia (DoA) is essential for ensuring patient safety
and effective anesthesia management. Existing methods, such as the Bispectral Index (BIS) …

An EEG-based hypnotic state monitor for patients during general anesthesia

FH Khan, W Saadeh - IEEE Transactions on Very Large Scale …, 2021 - ieeexplore.ieee.org
Most surgical procedures are not possible without general anesthesia which necessitates
continuous and accurate monitoring of the patients' level of hypnosis (LoH). Currently, the …