Sleep apnea is a common and strongly under-diagnosed severe sleep-related respiratory
disorder with periods of disrupted or reduced breathing during sleep. To diagnose sleep …

Obstructive sleep apnea is a breathing disorder affecting 2-4% of the adult population. It is
characterized by periods of reduced breathing (hypopnea) or no breathing (apnea). Several …

Sleep apnea is a sleep disorder that affects a large population. This disorder can cause or
augment the exposure to cardiovascular dysfunction, stroke, diabetes, and poor productivity …

Insufficient alveolar ventilation during the course of a night's sleep results in hypopnea,
which is characterized by a greater than 50% reduction in respiratory airflow. However …

Accurate apnea and hypopnea event detection in polysomnography (PSG) is important to
the diagnosis of sleep apnea. Automated PSG event detection has the potential to reduce …

This work presents automated apnea event de-tection using blood oxygen saturation (SpO2)
and pulse rate (PR), conveniently recorded with a pulse oximeter. A large, diverse cohort of …

The gold standard to assess respiration during sleep is polysomnography; a technique that
is burdensome, expensive (both in analysis time and measurement costs), and difficult to …

Sleep apnea, a condition marked by recurrent pauses or reductions in lung airflow lasting
more than 10 seconds, underscores the critical need for precise episode identification, as it …

This research underlines an automated approach for detecting sleep apnea events from
sleep studies. The Polysomnogram test is the gold standard for diagnosing sleep apnea …

Correction to: Energy Efficient Deep Learning Inference Embedded on FPGA for Sleep Apnea
Detection | Journal of Signal Processing Systems skip to main content ACM Digital Library …