Automatic detection of sleep apnea and hypopnea events from single channel measurement of respiration signal employing ensemble binary SVM classifiers

- Apnea and hypopnea event detection for direct assessment of apnea severity.
- Low cost home based measurement of sleep apnea from oronasal airflow signal.
- Event detection by classifying short segment overlapping windows of respiration signal.
- Combining decisions of classifiers on time sequenced feature vectors for detection of apnea or hypopnea event.