Development of a Multimodal Deep Learning Model for Pediatric Patients

ConditionsPediatric Obstructive Sleep Apnea Polysomnography

Trial statusNot yet recruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

Age4-18

SponsorFu Jen Catholic University

About this trial

This study aims to develop a multimodal data-driven model integrating multiple noninvasive physiological signals to assess the severity of pediatric sleep-disordered breathing, using standard clinical sleep study results as the reference.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Individuals with clinical suspicion of obstructive sleep apnea who are referred for polysomnography

Disqualifiers

Intolerance to a fingertip or wrap-around pulse oximeter

Presence of significant structural abnormalities of the upper airway

Cardiac arrhythmia

Neuromuscular disease

Trial population

patient of affiliated university hospital

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

fingertip pulse oximeter
Device
a small device placed on the finger to measure blood oxygen saturation and pulse rate noninvasively
pressure-sensing mattresses
Device
using ballistocardiography for monitoring respiration and heart rate
millimeter-wave radar
Device
using millimeter-wave radar technology based on the Doppler effect, the device continuously monitors respiratory-related chest wall movements

Treatment groups

No treatment groups listed

Trial outcomes

Primary outcomes

the correlation among the apnea-hypopnea index, millimeter-wave radar signals, and ballistocardiography waveforms

Time frame

up to 12 hours

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Fu Jen Catholic University

Lead sponsor

Source ClinicalTrials.gov

This trial is not recruiting at the moment. You can still explore other options: