Noninvasive blood glucose monitoring systems using near-infrared technology—a review

A Hina, W Saadeh - Sensors, 2022 - mdpi.com
The past few decades have seen ongoing development of continuous glucose monitoring
(CGM) systems that are noninvasive and accurately measure blood glucose levels. The …

Sensors and systems for physical rehabilitation and health monitoring—A review

LMS Nascimento, LV Bonfati, MLB Freitas… - Sensors, 2020 - mdpi.com
The use of wearable equipment and sensing devices to monitor physical activities, whether
for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the …

A noninvasive blood glucose monitoring system based on smartphone PPG signal processing and machine learning

G Zhang, Z Mei, Y Zhang, X Ma, B Lo… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Blood glucose level needs to be monitored regularly to manage the health condition of
hyperglycemic patients. The current glucose measurement approaches still rely on invasive …

Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design

SS Gupta, TH Kwon, S Hossain, KD Kim - Biomedical Signal Processing …, 2021 - Elsevier
Diabetes, the result of excessive or uncontrolled glucose in the blood, is one of the leading
causes of human mortality. Due to the unavailability of non-invasive glucose level checker …

A noninvasive glucose monitoring SoC based on single wavelength photoplethysmography

A Hina, W Saadeh - IEEE Transactions on Biomedical Circuits …, 2020 - ieeexplore.ieee.org
Conventional glucose monitoring methods for the growing numbers of diabetic patients
around the world are invasive, painful, costly and, time-consuming. Complications aroused …

An in-ear PPG-based blood glucose monitor: A proof-of-concept study

G Hammour, DP Mandic - Sensors, 2023 - mdpi.com
Monitoring diabetes saves lives. To this end, we introduce a novel, unobtrusive, and readily
deployable in-ear device for the continuous and non-invasive measurement of blood …

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 …

A 186μW photoplethysmography-based noninvasive glucose sensing SoC

A Hina, W Saadeh - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Recent trends in research and the market show high demand for frequent monitoring of
glucose to estimate the blood sugar level non-invasively which can replace the conventional …

A Glucose Monitoring SoC using Near-Infrared Photoplethysmography

A Hina, W Saadeh - 2020 IEEE Asian Solid-State Circuits …, 2020 - ieeexplore.ieee.org
A glucose monitoring SoC based on near-infrared Photoplethysmography (PPG) is
presented. It integrates fully differential AFE with nonlinear support-vector-machine …

BGEM™: Assessing Elevated Blood Glucose Levels Using Machine Learning and Wearable Photo plethysmography Sensors

B Shi, SS Dhaliwa, J Wong, NWC Lam, E Zhou… - Authorea …, 2022 - techrxiv.org
Diabetes mellitus (DB) is the most challenging and fastest-growing global public health
challenge. An estimated 10.5% of the global adult population suffers from diabetes, and …