Europe PMC

Developing Probabilistic Ensemble Machine Learning Models for Home-Based Sleep Apnea Screening using Overnight SpO2 Data at Varying Data Granularity

Purpose This study aims to develop sleep apnea screening models using a large clinical sleep dataset of SpO2 data, with the goal of achieving better performance and generalizability compared to ...
Europe PMC

Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularity.

This study aims to develop sleep apnea screening models with overnight SpO2 data, and to investigate the impact of the SpO2 data granularity on model performance. Our models demonstrated good to ...
GitHub

Issues: Prar2902/ECG-SpO2-OSA-Detecting-Obstructive-Sleep-Apnea-using-ECG-and-SpO2-Signals-with-Machine-Learning

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Issues are used to track todos, bugs, feature requests, and more.
IEEE

Machine learning based SpO2 prediction from PPG signal's characteristics features

Abstract: Continuous monitoring of blood oxygen saturation level (SpO2) during the second triage in the high casualty event and determining the hemostability of a patient/victim until arrival to a ...
thorax.bmj

P179 Patient safety alert: a prospective study on 100 patients highlighting inaccuracy of pulse oximeter finger probes used on ear lobes

Introduction Clinicians often obtain peripheral saturation (SpO2) readings by placing a finger probe sensor on the patient’s earlobe when a reading cannot be obtained from the finger. The accuracy of ...
The Verge

How to measure your SpO2 on your smartwatch

is a senior reporter and author of the Optimizer newsletter. She has more than 13 years of experience reporting on wearables, health tech, and more. Before coming to The Verge, she worked for Gizmodo ...