Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: A systematic review

S Zanelli, M Ammi, M Hallab, MA El Yacoubi - Sensors, 2022 - mdpi.com
(1) Background: Diabetes mellitus (DM) is a chronic, metabolic disease characterized by
elevated levels of blood glucose. Recently, some studies approached the diabetes care …

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 …

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 …

HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals

E Lan - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Diabetes mellitus is a global concern, and early detection can prevent serious
complications. 50% of those with diabetes live undiagnosed, disproportionately afflicting low …

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 …

HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals

E Lan - arXiv preprint arXiv:2303.11340, 2023 - arxiv.org
Diabetes mellitus is a global concern, and early detection can prevent serious
complications. 50% of people with diabetes live undiagnosed, disproportionately afflicting …

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 …

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 …

Edge Classification of Non-Invasive Blood Glucose Levels Based on Photoplethysmography Signals

E Susana, K Ramli, PD Purnamasari… - 2022 5th International …, 2022 - ieeexplore.ieee.org
Diabetes monitoring systems are critical for avoiding potentially significant medical bills.
Only invasive methods are currently on the market. These procedures have substantial …

On the potential of AI based health assessment from photopletysmographic signals

S Zanelli, MA El Yacoubi, M Hallab… - Colloque en TéléSANté et …, 2023 - hal.science
The necessity of implementing new options to improve telemedicine has gained much
importance in recent years. Among all the available technologies, photoplethysmography is …