The existing PranaQ system utilizes a fingertip sensor that captures PPG(Photoplethysmography) and accelerometer data, and its clinical validation is well-established. While PPG alone has shown effectiveness in diagnosing obstructive sleep apnea, its limited data channels restrict comprehensive evaluation. For instance, it struggles to link apnea events with body position or differentiate between central and obstructive sleep apnea.
To address these limitations, the PranaQ system incorporates new sensors, specifically the chest patch sensor, to monitor respiratory movements via accelerometer signals. The additional respiration signal has the potential to improve diagnostic accuracy for apnea through additional information from respiratory effort.
Subjects must be 18 years of age or older.
Opioids use
Chronic Obstructive Lung Disease, Global Initiative for Chronic Obstructive
Lung Disease (GOLD) categorization 3 or 4
Devastating strokes, with a modified Rankin score (mRS) ≥ 4
Patient who is scheduled for a sleep study.
Case-only
Prospective
Not listed
Respiratory Rate
PSG recording estimated respiratory rate as ground truth to compare with the C-TraQ-generated respiratory rate.
Sleep Position
Sleep Position measured by PSG as ground truth to compare with C-TraQ generated sleep position
AHI
Technician labeled AHI based on PSG signal to compare with PranaQ system's prediction.
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