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Technical Feasibility Study on Screening Sleep Related Breathing Disturbances and Sleep Apnoea With Wearable Sensors (Screenbeat)

F

Firstbeat Technologies

Status

Completed

Conditions

Sleep Disorder
Sleep Apnea

Study type

Observational

Funder types

Industry

Identifiers

NCT05235984
Screenbeat_SA

Details and patient eligibility

About

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).

Enrollment

30 patients

Sex

All

Ages

18 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • High a priori probability for SA based on previous PG findings, BMI, and ESS and medical history
  • Clinical reason i.e. potential benefit of repeating the PG due to e.g. technical challenges in the previous PG and/or unclear findings or diagnosis. Participation may be offered also in cases where first PG is diagnostic. In these cases accuracy of sleep apnoea grading will be improved.
  • Adequate Finnish language skills to comprehend study-related instructions and questionnaires. The study materials are available only in Finnish.
  • Signed written informed consent

Exclusion criteria

  • Medical history of a major cardiovascular event (myocardial infarction, coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), stroke, or transient ischemic attack) within the previous 6 months
  • Use of cardiac pacemaker or history of atrial fibrillation

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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