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 …

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 …

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 …

Predicting diabetes from photoplethysmography using deep learning

R Avram, G Tison, P Kuhar, G Marcus… - Journal of the American …, 2019 - jacc.org
Background Up to a third of patients with diabetes are undiagnosed, and therefore go
untreated. Widely available consumer technologies could detect diabetes at an early stage …

PPG2ABP: Translating photoplethysmogram (PPG) signals to arterial blood pressure (ABP) waveforms

N Ibtehaz, S Mahmud, MEH Chowdhury, A Khandakar… - Bioengineering, 2022 - mdpi.com
Cardiovascular diseases are one of the most severe causes of mortality, annually taking a
heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the …

A Review of Deep Learning Methods for Photoplethysmography Data

G Nie, J Zhu, G Tang, D Zhang, S Geng, Q Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …

Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network

G Slapničar, N Mlakar, M Luštrek - Sensors, 2019 - mdpi.com
Blood pressure (BP) is a direct indicator of hypertension, a dangerous and potentially deadly
condition. Regular monitoring of BP is thus important, but many people have aversion …

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 …

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 …