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

Z Serena, M Ammi, M Hallab… - Available at SSRN …, 2022 - papers.ssrn.com
Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to
assess blood volume variations inside the micro-circulation. PPG technology is widely used …

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 …

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 …

Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal

MSI Sumon, T Ahmed, MM Khan… - … on Information and …, 2023 - ieeexplore.ieee.org
Diabetes is a prevalent and chronic condition requiring effective surveillance and
categorization. In recent years, the analysis of physiological signals, such as …

Ppg2abp: Translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks

N Ibtehaz, S Mahmud, MEH Chowdhury… - arXiv preprint arXiv …, 2020 - arxiv.org
Cardiovascular diseases are one of the most severe causes of mortality, taking a heavy toll
of lives annually throughout the world. The continuous monitoring of blood pressure seems …

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 …

Analysis of CNN-based remote-PPG to understand limitations and sensitivities

Q Zhan, W Wang, G De Haan - Biomedical optics express, 2020 - opg.optica.org
Deep learning based on convolutional neural network (CNN) has shown promising results
in various vision-based applications, recently also in camera-based vital signs monitoring …

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 …

Photoplethysmography Driven Hypertension Identification: A Pilot Study

L Yan, M Wei, S Hu, B Sheng - Sensors, 2023 - mdpi.com
To prevent and diagnose hypertension early, there has been a growing demand to identify
its states that align with patients. This pilot study aims to research how a non-invasive …

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 …