Clinical Validation of New Breathing Sensors in Patients With Respiratory Insufficiency (NXT_SLEEP)

Antwerp University Hospital (UZA)

Status

Completed

Conditions

Respiratory Patients

Treatments

Device: Sensor testing and validation

Study type

Interventional

Funder types

Other

Industry

Identifiers

NCT01904344

PML_NXT_SLEEP

Details and patient eligibility

About

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.

Full description

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

Enrollment

28 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

Patients who are hospitalized for their respiratory disease
Written informed consent obtained

Exclusion criteria

Patients with an uncontrolled disease or any condition that might, in the judgement of the investigator, place the patient at undue risk or potentially comprise the results of interpretation of the study