Research project

Multimodal Sleep Apnea Screening

A research pipeline that combines respiratory acoustics and physiological dynamics for OSA screening.

Problem

Conventional diagnosis is resource-intensive; research explores whether smaller, lower-burden signal sets can retain clinically useful information.

Why it matters

The long-term goal is accessible, interpretable and robust screening that can guide who should receive full diagnostic testing.

Pipeline

The pipeline remains readable without animation and progressively activates while scrolling.

01

Signals

Acquire respiratory and cardiovascular modalities

SnoreAirflowECGPPG
02

Preprocessing

Align, resample, window and normalise

03

Encoders

Learn modality-specific temporal representations

04

Fusion

Combine complementary information

05

Screening output

Estimate respiratory-event / OSA-related class

Signals

Snore intensityAirflowECGPPGSpO₂

Models

ResNet-1DCNN-LSTMFusion networks

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