Deep Learning based non-invasive diabetes predictor using Photoplethysmography signals

VB Srinivasan, F Foroozan - 2021 29th European Signal …, 2021 - ieeexplore.ieee.org
In 2016, World Health Organization (WHO) estimated that diabetes is the seventh leading
cause of death causing 1.6 million casualties globally. In this paper, we propose a non …

Machine learning-based diabetes detection using photoplethysmography signal features

FAC Oliveira, FM Dias, MAF Toledo… - arXiv preprint arXiv …, 2023 - arxiv.org
Diabetes is a prevalent chronic condition that compromises the health of millions of people
worldwide. Minimally invasive methods are needed to prevent and control diabetes but most …

Non-invasive classification of blood glucose level for early detection diabetes based on photoplethysmography signal

E Susana, K Ramli, H Murfi, NH Apriantoro - Information, 2022 - mdpi.com
Monitoring systems for the early detection of diabetes are essential to avoid potential
expensive medical costs. Currently, only invasive monitoring methods are commercially …

A machine learning approach to predict diabetes using short recorded photoplethysmography and physiological characteristics

C Hettiarachchi, C Chitraranjan - … in Medicine: 17th Conference on Artificial …, 2019 - Springer
Diabetes is a global epidemic, which leads to severe complications such as heart disease,
limb amputations and blindness, mainly occurring due to the inability of early detection …

Non-invasive diabetes mellitus detection system using machine learning techniques

A Prabha, J Yadav, A Rani… - 2021 11th International …, 2021 - ieeexplore.ieee.org
This work presents an automated diabetes mellitus detection system (DMDS), based on
wrist photoplethysmography (PPG) signal and physiological parameters. The PPG signal …

Review of Non-Invasive Blood Glucose Level Estimation based on Photoplethysmography and Artificial Intelligent Technology

E Susana, K Ramli - … Conference on Quality in Research (QIR) …, 2021 - ieeexplore.ieee.org
The emergence of photoplethysmography for the non-invasive estimation of blood glucose
levels in diabetes management offers an alternative solution to the limitations of invasive …

Noninvasive blood glucose prediction from photoplethysmogram using relevance vector machine

S Shobitha, PM Amita, KB Niranjana… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Diabetes mellitus is one of the predominant threats., hence monitoring the glucose levels is
crucial. Clinically., it is measured using invasive blood tests. However., using …

[HTML][HTML] Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography …

B Shi, SS Dhaliwal, M Soo, C Chan, J Wong, NWC Lam… - JMIR AI, 2023 - ai.jmir.org
Background: Diabetes mellitus is the most challenging and fastest-growing global public
health concern. Approximately 10.5% of the global adult population is affected by diabetes …

Intelligent method of non-invasive detection and grading of hypertension using fingertip photoplethysmography

M Zhang, T Zhang, Y Cheng - 2021 3rd International …, 2021 - ieeexplore.ieee.org
With the gradual increase in hypertension and the trend toward younger age in China in
recent years, the existing detection methods for hypertension have a low detection rate …

Type 2 diabetes detection with light CNN from single raw PPG wave

S Zanelli, MA El Yacoubi, M Hallab, M Ammi - IEEE Access, 2023 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to
assess blood volume variations in the microcirculation. PPG technology is widely used in a …