Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning

Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning

Breathing rate is considered one of the fundamental vital signs and a highly informative indicator of physiological state. Given that the monitoring of heart activity is less complex than the monitoring of breathing, a variety of algorithms have been developed to estimate breathing activity from hea...

Full description

Bibliographic Details
Main Authors: Simon Stankoski, Ivana Kiprijanovska, Ifigeneia Mavridou, Charles Nduka, Hristijan Gjoreski, Martin Gjoreski
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
breathing rate
machine learning
PPG
VR headset
motion artifact removal
information fusion
Online Access:https://www.mdpi.com/1424-8220/22/6/2079

Similar Items

Similar Items