[HTML][HTML] Mobile and wearable technology for the monitoring of diabetes-related parameters: Systematic review

C Rodriguez-León, C Villalonga… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Diabetes mellitus is a metabolic disorder that affects hundreds of millions of
people worldwide and causes several million deaths every year. Such a dramatic scenario …

Detection of type-2 diabetes using characteristics of toe photoplethysmogram by applying support vector machine

N Nirala, R Periyasamy, BK Singh, A Kumar - … and Biomedical Engineering, 2019 - Elsevier
Diabetes mellitus (DM) is one of the most widespread and rapidly growing diseases. With its
advancement, DM-related complications are also increasing. We used characteristic …

DSVRI: a PPG-based novel feature for early diagnosis of type-II diabetes mellitus

S Gupta, A Singh, A Sharma… - IEEE Sensors Letters, 2022 - ieeexplore.ieee.org
Diabetes is a group of metabolic disorders characterized by hyperglycemia caused by a
deficiency in insulin production, insulin action, or both. Type-II diabetes mellitus (DM-2) …

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 …

CardioNet: Deep learning framework for prediction of CVD risk factors

M Panwar, A Gautam, R Dutt… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The recent progressions in semiconductor and computing technology have empowered the
PPG utilization in medical diagnosis. This paper presents a reconfigurable deep learning …

A novel IoT based framework for blood glucose examination

GM Bhat, NG Bhat - 2017 international conference on electrical …, 2017 - ieeexplore.ieee.org
Glucose checking is a fundamental piece of diabetes administration, and the support of
physiological blood glucose fixation is the main route for a diabetic to evade perilous …

Towards an Interpretable Continuous Glucose Monitoring Data Modeling

JF Gaitán-Guerrero, JL López… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The ongoing global health challenge posed by diabetes necessitates a critical
understanding of all generated data streamed from sensors. To address this, our study …

[PDF][PDF] One-minute finger pulsation measurement for diabetes rapid screening with 1.3% to 13% false-negative prediction rate

J Chu, WT Yang, TH Hsieh, FL Yang - Biomedical Statistics and …, 2021 - researchgate.net
Previous non-invasive Diabetes Mellitus (DM) prediction methods for rapid screening
suffered from the trade-off between speed and accuracy. The accurate results of …

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 …

Blood Mixers for Transfusion Therapy: Method of Blood Flow Velocity Determination Based on Photoplethysmogram

L Evdochim, AE Zhdanov, VI Borisov… - … Ural Symposium on …, 2020 - ieeexplore.ieee.org
In existing systems for blood donation, flow rate estimation is implemented using various
force sensors. However, in the event of the inoperability of the force sensor, the mass of the …