This study introduces a new method for estimating blood pressure (BP) by transferring knowledge from a complex multi-modal model to a simpler uni-modal model using a teacher-student training approach.
The multi-modal model uses a combination of inputs, including photoplethysmogram (PPG), electrocardiogram (ECG), and patient demographics, to create features and estimate BP.
The proposed uni-modal model focuses only on the PPG signal but learns to predict BP effectively by aligning its embeddings with those from the multi-modal model, achieving accurate prediction errors within accepted standards for systolic and diastolic BP.