FEATURE EXTRACTION OF RESPIRATORY SIGNALS BY APPLYING ADAPTIVE IMPROVED BURG'S ALGORITHM FOR SLEEP APNEA DETECTION

BHAVANI SANKAR. A

Volume : VIII, Issue : II, February - 2019

FEATURE EXTRACTION OF RESPIRATORY SIGNALS BY APPLYING ADAPTIVE IMPROVED BURG'S ALGORITHM FOR SLEEP APNEA DETECTION

Bhavani Sankar. A

Abstract :

This paper presents feature extraction and classification method for bio signal processing which concentrates on respiratory signal processing. Respiratory signal processing could contribute to immediate sleep apnea detection such as heart disease, Acute coronary Syndrome, Arrhythmias, and others. This paper discussed more into depth on algorithms which includes for feature extraction. The feature extraction plays an important role since the classification is completely based on the values of the extracted features.