Time domain characterization for sleep apnea in oronasal airflow signal: a dynamic threshold classification approach

Abstract

The present results contribute a new approach for progressive detection of sleep apnea using an adaptive threshold that is dynamically adjusted with respect to the patient's respiration baseline, making it potentially able to effectively generalize over patients with different apnea severity levels and longer monitoring periods.