Advances in respiratory monitoring: a comprehensive review of wearable and remote technologies

D Vitazkova, E Foltan, H Kosnacova, M Micjan… - Biosensors, 2024 - mdpi.com
This article explores the importance of wearable and remote technologies in healthcare. The
focus highlights its potential in continuous monitoring, examines the specificity of the issue …

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 …

Blood Oxygen Saturation Estimation with Laser‐Induced Graphene Respiration Sensor

A Madevska Bogdanova, B Koteska… - Journal of …, 2024 - Wiley Online Library
Measuring blood oxygen saturation (SpO2) is crucial in a triage process for identifying
patients with respiratory distress or shock, since low SpO2 levels indicate compromised …

PaPaGei: Open Foundation Models for Optical Physiological Signals

A Pillai, D Spathis, F Kawsar, M Malekzadeh - arxiv preprint arxiv …, 2024 - arxiv.org
Photoplethysmography (PPG) is the most widely used non-invasive technique for monitoring
biosignals and cardiovascular health, with applications in both clinical settings and …

ROSE-Net: Leveraging remote photoplethysmography to estimate oxygen saturation using deep learning

MH Chowdhury, MBI Reaz, SHM Ali, MS Khan… - … Signal Processing and …, 2025 - Elsevier
A method for accurately estimating physiological signals from video streams at a minimal
cost holds immense value, particularly in pre-clinical health monitoring applications. This …

[HTML][HTML] Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review

EJ Argüello-Prada, JF Castillo García - Sensors, 2024 - mdpi.com
Machine learning algorithms have brought remarkable advancements in detecting motion
artifacts (MAs) from the photoplethysmogram (PPG) with no measured or synthetic reference …

[HTML][HTML] Evaluating AI Methods for Pulse Oximetry: Performance, Clinical Accuracy, and Comprehensive Bias Analysis

AM Cabanas, N Sáez, PO Collao-Caiconte… - Bioengineering, 2024 - mdpi.com
Blood oxygen saturation (SpO2) is vital for patient monitoring, particularly in clinical settings.
Traditional SpO2 estimation methods have limitations, which can be addressed by analyzing …

CRITICAL OXYGEN SATURATION-LEVEL ESTIMATION FROM PHOTOPLETHYSMOGRAM (PPG): A PRISMA-COMPLIANT SYSTEMATIC REVIEW AND META …

B Koteska, N Ackovska, AM Bogdanova… - Biomedical …, 2025 - World Scientific
Objectives: Photoplethysmogram (PPG) signals have become a crucial tool in the non-
invasive monitoring of oxygen saturation levels (SpO2). The main purpose of the present …

[PDF][PDF] Prediction of Oxygen Saturation from Graphene Respiratory Signals with PPG Trained DNN.

B Koteska, AM Bogdanova, T Vicentic, SD Ilic… - BIOSTEC (1), 2024 - scitepress.org
This paper explores the feasibility of using wearable laser-induced graphene (LIG) sensors
to estimate oxygen saturation (SpO2) as an alternative to traditional photoplethysmography …

[PDF][PDF] Smart System for Real-time Monitoring of Vital Parameters

R Bagín, B Koteska, M Kostoska, N Ackovska, A Mishev… - 2024 - ceur-ws.org
Wearable real-time systems that collect and intelligently analyze data on respiration, heart
rate, oxygen saturation, blood pressure, and body temperature could assist medical …