Photoplethysmography signal processing and synthesis
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
Machine learning-based respiration rate and blood oxygen saturation estimation using photoplethysmogram signals
The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial
for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to …
for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to …
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 …
Enabling continuous wearable reflectance pulse oximetry at the sternum
In light of the recent Coronavirus disease (COVID-19) pandemic, peripheral oxygen
saturation (SpO2) has shown to be amongst the vital signs most indicative of deterioration in …
saturation (SpO2) has shown to be amongst the vital signs most indicative of deterioration in …
Can we trust the oxygen saturation measured by consumer smartwatches?
Z Zhang, R Khatami - The Lancet Respiratory Medicine, 2022 - thelancet.com
Monitoring peripheral arterial oxygen saturation (SpO2) at home has become popular during
the COVID-19 pandemic. SpO2 can be measured by wearable fingertip pulse oximetry via …
the COVID-19 pandemic. SpO2 can be measured by wearable fingertip pulse oximetry via …
HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data
Abstract Internet of Medical Things (IoMT) facilitate revolutionary development in healthcare
services, recognized as smart healthcare. By collecting big healthcare data and utilizing …
services, recognized as smart healthcare. By collecting big healthcare data and utilizing …
Evaluation of Leading Smartwatches for the Detection of Hypoxemia: Comparison to Reference Oximeter
Although smartwatches are not considered medical devices, experimental validation of their
accuracy in detecting hypoxemia is necessary due to their potential use in monitoring …
accuracy in detecting hypoxemia is necessary due to their potential use in monitoring …
[PDF][PDF] Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals. Bioengineering 2023, 10, 167
MNI Shuzan, MH Chowdhury… - DOI: https://doi. org …, 2023 - academia.edu
The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial
for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to …
for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to …
Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography
Y Zhong, A Jatav, K Afrin, T Shivaram… - Artificial Intelligence in …, 2023 - Elsevier
Reflectance-based photoplethysmogram (PPG) sensors provide flexible options of
measuring sites for blood oxygen saturation (SpO 2) measurement. But they are mostly …
measuring sites for blood oxygen saturation (SpO 2) measurement. But they are mostly …
Htps: Heterogeneous transferring prediction system for healthcare datasets
Medical internet of things leads to revolutionary improvements in medical services, also
known as smart healthcare. With the big healthcare data, data mining and machine learning …
known as smart healthcare. With the big healthcare data, data mining and machine learning …