CDT Postgraduate Studentship in Healthcare Innovation (RCUK Digital Economy Programme grant number EP/G036861/1)
Screening Obstructive Sleep Apnoea Using Video Monitoring
Obstructive Sleep Apnoea (OSA) is a common but under-diagnosed sleep disorder. Patients with OSA syndrome experience repeated periods of apnoea/hypopnoea and arousal during sleep. A condition which in the short term leads to excessive daytime sleepiness and in the long term may have clinical consequences such as stroke and cardiovascular abnormalities. Although complex equipment can be used to screen for sleep apnoea, the screening tests are often expensive, limited to the number of sleep clinics and specialists, and inconvenient for the patient. Sleep screening tests often include overnight video recordings which are used by sleep specialists to check patient’s activity during sleep. Although these recordings are valuable source of information about a patient’s sleep, they have not been explored for automated differentiation of OSA patients. This project aims to develop image and signal processing algorithms to process the video data recorded during patient’s sleep to extract features indicative of sleep disturbances (such as apnoea). These algorithms will be employed to design an automated sleep apnoea screening system using low-cost, off-body cameras.