Results 1 to 10 of about 6,717 (125)

Variation in the Photoplethysmogram Response to Arousal From Sleep Depending on the Cause of Arousal and the Presence of Desaturation [PDF]

open access: yesIEEE Journal of Translational Engineering in Health and Medicine
Objective: The aim of this study was to assess how the photoplethysmogram frequency and amplitude responses to arousals from sleep differ between arousals caused by apneas and hypopneas with and without blood oxygen desaturations, and spontaneous ...
Mieli Luukinen   +6 more
doaj   +2 more sources

Mathematical model of the photoplethysmogram for testing methods of biological signals analysis [PDF]

open access: yesИзвестия высших учебных заведений: Прикладная нелинейная динамика, 2023
The purpose of this study was to develop a mathematical model of the photoplethysmogram, which can be used to test methods that introduce the instantaneous phases of the modulating signals.
Vakhlaeva, Anna Mikhailovna   +4 more
doaj   +1 more source

Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study

open access: yesJMIR Medical Informatics, 2022
BackgroundFor the noninvasive assessment of arterial stiffness, a well-known indicator of arterial aging, various features based on the photoplethysmogram and regression methods have been proposed.
Junyung Park, Hangsik Shin
doaj   +1 more source

Photoplethysmogram Analysis and Applications: An Integrative Review

open access: yesFrontiers in Physiology, 2022
Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for measuring the physiological state of an individual in daily life.
Junyung Park   +3 more
doaj   +1 more source

Training Convolutional Neural Networks on Simulated Photoplethysmography Data: Application to Bradycardia and Tachycardia Detection

open access: yesFrontiers in Physiology, 2022
Objective: To develop a method for detection of bradycardia and ventricular tachycardia using the photoplethysmogram (PPG).Approach: The detector is based on a dual-branch convolutional neural network (CNN), whose input is the scalograms of the ...
Andrius Sološenko    +4 more
doaj   +1 more source

Method of Extracting the Instantaneous Phases and Frequencies of Respiration from the Signal of a Photoplethysmogram

open access: yesMathematics, 2023
We propose for the first time a method for extracting the instantaneous phases of respiration from the signal of a photoplethysmogram (PPG). In addition to the instantaneous phases of respiration, this method allows for more accurately extracting the ...
Ekaterina I. Borovkova   +4 more
doaj   +1 more source

Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal

open access: yesBioengineering, 2022
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients.
Moajjem Hossain Chowdhury   +10 more
doaj   +1 more source

Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring [PDF]

open access: yes, 2020
One in three adults worldwide has hypertension, which is associated with significant morbidity and mortality. Consequently, there is a global demand for continuous and non-invasive blood pressure (BP) measurements that are convenient, easy to use, and ...
Abbott, D.   +15 more
core   +3 more sources

A Continuous Blood Pressure Estimation Method Using Photoplethysmography by GRNN-Based Model

open access: yesSensors, 2021
Compared with diastolic blood pressure (DBP) and systolic blood pressure (SBP), the blood pressure (BP) waveform contains richer physiological information that can be used for disease diagnosis.
Zheming Li, Wei He
doaj   +1 more source

A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure [PDF]

open access: yes, 2020
Hypertension or high blood pressure is a leading cause of death throughout the world and a critical factor for increasing the risk of serious diseases, including cardiovascular diseases such as stroke and heart failure.
El-Hajj, C., Kyriacou, P. A.
core   +1 more source

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