Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
In this work, a non-invasive diabetes mellitus detection system is proposed based on the
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: A systematic review
(1) Background: Diabetes mellitus (DM) is a chronic, metabolic disease characterized by
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
Detection of type-2 diabetes using characteristics of toe photoplethysmogram by applying support vector machine
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 …
advancement, DM-related complications are also increasing. We used characteristic …
DSVRI: a PPG-based novel feature for early diagnosis of type-II diabetes mellitus
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) …
deficiency in insulin production, insulin action, or both. Type-II diabetes mellitus (DM-2) …
An explainable Artificial Intelligence software system for predicting diabetes
Implementing diabetes surveillance systems is paramount to mitigate the risk of incurring
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …
Use of machine learning and routine laboratory tests for diabetes mellitus screening
G Cardozo, GB Pintarelli, GR Andreis… - BioMed research …, 2022 - Wiley Online Library
Most patients with diabetes mellitus are asymptomatic, which leads to delayed and more
complex treatment. At the same time, most individuals are routinely subjected to standard …
complex treatment. At the same time, most individuals are routinely subjected to standard …
An efficient data compression and encryption technique for PPG signal
In this paper, a high performing, reliable and robust Photoplethysmogram (PPG)
compression and encryption method is proposed for efficient, safe and secure storage and …
compression and encryption method is proposed for efficient, safe and secure storage and …
Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method
Abstract Type-2 diabetes mellitus (DM-2) is a complicated endocrine and metabolism
condition recognized as the most major non-communicable disease in the world. The …
condition recognized as the most major non-communicable disease in the world. The …
ASCII-character-encoding based PPG compression for tele-monitoring system
Photoplethysmogram (PPG) is becoming one of the most important techniques for assessing
several vascular parameters, but the area of digitized PPG signal compression still remains …
several vascular parameters, but the area of digitized PPG signal compression still remains …
Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier
Abstract Type-2 diabetes mellitus (T2DM) is a chronic metabolic disorder affecting numerous
people throughout the world. If untreated in the initial stages, diabetes-related complications …
people throughout the world. If untreated in the initial stages, diabetes-related complications …