The increasing rate of cardiac ailments has led to the rise in the scrutinization of ones
cardiac health. The prevalent techniques for detecting heart diseases are costly and require …

Blood pressure (BP) monitoring is a basic procedure for the physiological measurement of
the cardiovascular system, especially because high BP, although preventable, is a major …

Diabetes monitoring systems are crucial for avoiding potentially significant medical
expenses. At this time, the only commercially viable monitoring methods that exist are …

A novel blood pressure classification model using Phototplethysmogram (PPG) is proposed
in this work. The proposed model uses signal processing and machine learning algorithms …

Arterial blood pressure (ABP) monitoring may permit the early diagnosis and management
of cardiovascular disease (CVD); however, existing methods for measuring ABP outside the …

In this paper, a multi-stage deep learning blood pressure prediction model based on
imaging photoplethysmography (IPPG) signals is proposed to achieve accurate and …

In this work, a non-invasive diabetes mellitus detection system is proposed based on the
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …

Objective Easy access bio-signals are useful to alleviate the shortcomings and difficulties of
cuff-based and invasive blood pressure (BP) measuring techniques. This study proposes a …

This article proposes a new method for identifying photoplethysmography (PPG) data, a non-
invasive blood pressure (BP) measurement. Individual characteristic inconsistencies hinder …

The purpose of this paper is to develop a system that can measure the blood glucose level
in a non-invasive way. Since blood glucose is an important indicator of health issues …