Postdoc. in Signal Processing: Obstructive Sleep Apnea

Postdoctoral position in biomedical signal processing applied to detect obstructive sleep apnea

Tue 23 May 2017

Prompt diagnosis and treatment of obstructive sleep apnea (OSA), a form of sleep-disordered breathing characterized by breathing cessations, is vital as untreated OSA is linked to hypertension, arrhythmias, heart failure, and stroke. OSA is a major public health issue due to its increasing prevalence (1 in 5 middle-aged adults) and its serious consequences. Still, the majority of individuals affected by OSA remain undiagnosed.

Polysomnography (PSG), the gold standard diagnostic tool, is highly resource-intensive, involving electrocardiography (ECG), electroencephalography (EEG), pulse oximetry, chest movement, nasal airflow, and video/audio recording, all during an overnight stay in a well-equipped sleep laboratory. The complexity and cost of PSG confines it to specialist facilities. As a result, there are long waiting lists and delays in testing and diagnosis for people in need.

The objective of the project is to increase the accessibility of OSA assessment by developing and clinically validating a portable, non-invasive, smartphone-based OSA diagnostic tool using nasal pulse oximetry. In addition, we aim to compare the performance of conventional pulse oximetry and nasal pulse oximetry combined with airflow.