The NXT\_SLEEP study, bringing together industry partners, research groups and (home) care providers, tackles will develop a next generation sleep-monitoring platform that consists of less obtrusive sensors, and that delivers complete and useful information regarding the physiological parameters relevant for sleep-related breathing disorders. These new and innovative sensors need to be validated in a clinical setting where they will be benchmarked with the classical sleep monitoring systems. In order to compare the novel sensors with the classical monitoring system, the investigators use existing technologies that capture simultaneously the acquired signals of different physiological parameters relevant for sleep-related breathing disorders.
Sleep-related breathing disorders are recognized as major risk factors for mortality due to their effect on the cardiovascular system. Currently, these sleeping disorders are diagnosed using polysomnography (PSG), which is a sleep test that monitors different physiological signals such as heart rate, respiration, ECG, muscle tone and eye movement. Although polysomnography is an important diagnostic tool for sleep medicine, it is an uncomfortable and costly procedure, especially when multiple nights of observation are required. In order to reduce costs and improve patients comfort, different home monitoring systems (using different numbers and type of sensors) have been introduced to the market, but those focus especially on self-screening and collect general sleep information. In addition to increasing comfort and reducing costs, the diagnostic capabilities of PSG need to be enhanced. This can be achieved by adding novel sensors that may capture new information and improve the measurement of vital physiological parameters during sleep
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
28
University Hospital Antwerp
Edegem, Antwerp, Belgium
Change in breathing pattern during sleep by a movement sensor
New innovative sensors will measure breathing pattern during the night, simultaneously with the classical monitoring systems in order to validate the new sensors.
Time frame: During 5 nights
Change in ECG
Time frame: During 5 nights
Change in end tidal carbon dioxide fraction
Time frame: During 5 nights
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.