KNF-Laboratoriot Oy
Helsinki, Southern Finland, 00260, Finland
NCT Number: NCT05235984
In this study the feasibility of detecting sleep apnoeas with unobtrusive wearable sensors and sounds recorded with a smartphone is studied by making an overnight recording to patients with high probability of sleep apnoeas. The data acquired with the aforementioned devices is: ECG, acceleration, bioimpedance of thorax and processed and raw audio. In data analysis phase it will be studied which combinations of these signals would enable detecting sleep apnoeas with high enough sensitivity and specificity when compared to a night polygraphy reference (Nox T3 device using airflow, breathing movements, audio, position, movement, oxygen saturation, pulse and leg EMG).
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Notify Me18 year–65 year
All sexes
Observational
Helsinki, Southern Finland, 00260, Finland
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 1 day
The sensitivity and specificity of apnoea detection using the Screenbeat technology with different combinations of electrocardiogram (ECG), movement, bioimpedance and audio data, as measured by the AHI (apnoea-hypopnoea events per hour). The clinical reference for SA detection will be provided by PG.
Firstbeat Technologies Oy
Industry
Acronym: Screenbeat
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