Healthy Sleep non-invasive applications database PSG
Conditions
Interventions
None listed
Sponsors
Kempenhaeghe
Sterkselseweg 65, 5591 VE Heeze
Eligibility
Inclusion criteria
Inclusion criteria: - age between 18 and 65 years old - being able to speak Dutch
Exclusion criteria
Exclusion criteria: - Any diagnosed sleep disorders o Note: If the PSG indicates a sleep disorder after the measurement (after informed consent and enrollment), the data will be stored in the healthbed database for healthy participants. However, we will label these data so that we know that these participants were not ¡°healthy¡± related to sleep disorders. Furthermore, this will be reported as an incidental finding to Philips Q&R (Email: QandRoffice.pre@philips.com) - PSQI ≥ - ISI >7 - Indication of depression or anxiety disorder meausered with the HADS (score >8) - Pregnancy - Participants who lack the functional capacity to provide informed consent - Participants who suffer from clinically relevant neurologic or psychiatric disorders or other somatic disorder, that influences sleep or is limiting the ability to adhere to the study procdures (for example schizophrenia or alcohol abuse) - Shift-workers - Use of any medication, except for birth control medicine
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To build a reference database containing PSG and non-invasive sleep monitoring applications in healthy participants. | — |
Secondary
| Measure | Time frame |
|---|---|
| To validate the different non-invasive advanced sleep monitoring techniques against the gold standard polysomnography (PSG) for healthy participants To validate the different non-invasive advanced sleep monitoring techniques compared to the performance in patients with various sleep disorders (data derived from study METC nummer N16.073). To validate the correspondence between objective snoring measures and subjective snoring assessment received from an expert manually scoring the snoring sounds recorded in the PSG measurement. To determine the correlation between objective snore measures and PSG data. To evaluate the feasibility of automatic sleep stage classification using a camera in comparison with simultaneously acquired polysomnography (PSG). To investigate the opinion of healthy sleepers about the non-invasive advanced sleep monitoring techniques. Verdere uitkomsten: Geslacht, leeftijd, lengte, gewicht, opleidingsniveau, ISI, PSQI, HADS | — |
Contacts
Public ContactS. Overeem
Outcome results
None listed