Editorial: Machine Learning and Wearable Technology in Sleep Medicine
Timo Leppänen(Queensland University of Technology), Sami Myllymaa(University of Eastern Finland), Carolina Varon(KU Leuven), Massimiliano de Zambotti(SRI International)
Cited by 5
Related Papers
A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG
|IEEE Transactions on Biomedical Engineering|2015|347
State of the science and recommendations for using wearable technology in sleep and circadian research
|SLEEP|2023|194
A Comparative Study of ECG-derived Respiration in Ambulatory Monitoring using the Single-lead ECG
|Scientific Reports|2020|128
Application of Kernel Principal Component Analysis for Single-Lead-ECG-Derived Respiration
|IEEE Transactions on Biomedical Engineering|2012|124
Detection and Classification of Sleep Apnea and Hypopnea Using PPG and SpO$_2$ Signals
|IEEE Transactions on Biomedical Engineering|2020|91