SnoreFlowNet: Snore-Intensity and Airflow Dynamics Along with Cardiovascular Modalities for Deep Learning Based Sleep Apnea Detection
Bibliographic details pending final verification
A research pipeline that combines respiratory acoustics and physiological dynamics for OSA screening.
Conventional diagnosis is resource-intensive; research explores whether smaller, lower-burden signal sets can retain clinically useful information.
The long-term goal is accessible, interpretable and robust screening that can guide who should receive full diagnostic testing.
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Acquire respiratory and cardiovascular modalities
Align, resample, window and normalise
Learn modality-specific temporal representations
Combine complementary information
Estimate respiratory-event / OSA-related class