Open AccessRespiratory Motion and Airflow Estimation During Sleep Using Tracheal Movement and Sound
Author(s) -
Nasim Montazeri Ghahjaverestan,
Fan Wang,
Cristiano Aguiar,
Jackson Yu,
T. Douglas Bradley
Publication year - 2022
Publication title -
nature and science of sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.715
H-Index - 34
ISSN - 1179-1608
DOI - 10.2147/nss.s360970
Subject(s) - medicine , airflow , movement (music) , sound (geography) , respiratory system , acoustics , motion (physics) , sleep (system call) , audiology , physical medicine and rehabilitation , anatomy , artificial intelligence , mechanical engineering , engineering , computer science , physics , operating system
Due to lack of access and high cost of polysomnography, portable sleep apnea testing has been developed to diagnose sleep apnea. Despite being less expensive, and having fewer sensors and reasonable accuracy in identifying sleep apnea, such devices can be less accurate than polysomnography in detecting apneas/hypopneas. To increase the accuracy of apnea/hypopnea detection, an accurate airflow estimation is required. However, current airflow measurement techniques employed in portable devices are inconvenient and subject to displacement during sleep. In this study, algorithms were developed to estimate respiratory motion and airflow using tracheo-sternal motion and tracheal sounds.