Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signals

• Published in: Computers in biology and medicine Vol. 144; p. 105364
• Main Authors: Sharma, Manish, Kumbhani, Divyash, Tiwari, Jainendra, Kumar, T. Sudheer, Acharya, U. Rajendra
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.05.2022; Elsevier Limited
• Subjects: Abdomen; Accuracy; Aged; Air flow; Airflow; Algorithms; Apnea; Automation; Datasets; Electrocardiography; Filter banks; GentleBoost; Humans; Internal Medicine; Middle Aged; Model accuracy; Obstructive sleep apnea; Other; Oximetry; Oximetry - methods; Oxygen saturation; Patients; Polysomnography; Polysomnography (PSG); Pulse oximetry; Quality of life; Respiratory diseases; Respiratory System; Respiratory tract; Sleep; Sleep apnea; Sleep Apnea, Obstructive - diagnosis; Sleep disorders; SpO2; Thorax; Tsallis entropy; Airflow; GentleBoost; Polysomnography (PSG); Tsallis entropy; Obstructive sleep apnea; SpO2; SpO 2; SpO

Obstructive sleep apnea (OSA) is a common respiratory disorder marked by interruption of the respiratory tract and difficulty in breathing. The risk of serious health damage can be reduced if OSA is diagnosed and treated at an early stage. OSA is primarily diagnosed using polysomnography (PSG) monit...