Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
focus highlights its potential in continuous monitoring, examines the specificity of the issue …
A Review of Deep Learning Methods for Photoplethysmography Data
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 …
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
Blood Oxygen Saturation Estimation with Laser‐Induced Graphene Respiration Sensor
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 …
patients with respiratory distress or shock, since low SpO2 levels indicate compromised …
PaPaGei: Open Foundation Models for Optical Physiological Signals
Photoplethysmography (PPG) is the most widely used non-invasive technique for monitoring
biosignals and cardiovascular health, with applications in both clinical settings and …
biosignals and cardiovascular health, with applications in both clinical settings and …
ROSE-Net: Leveraging remote photoplethysmography to estimate oxygen saturation using deep learning
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 …
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
Machine learning algorithms have brought remarkable advancements in detecting motion
artifacts (MAs) from the photoplethysmogram (PPG) with no measured or synthetic reference …
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 …
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 …
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 …
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.
This paper explores the feasibility of using wearable laser-induced graphene (LIG) sensors
to estimate oxygen saturation (SpO2) as an alternative to traditional photoplethysmography …
to estimate oxygen saturation (SpO2) as an alternative to traditional photoplethysmography …
[PDF][PDF] Smart System for Real-time Monitoring of Vital Parameters
Wearable real-time systems that collect and intelligently analyze data on respiration, heart
rate, oxygen saturation, blood pressure, and body temperature could assist medical …
rate, oxygen saturation, blood pressure, and body temperature could assist medical …