This paper was accepted at the workshop Deep Generative Models for Health at NeurIPS 2023.
Cardiovascular diseases (CVDs) are a major global health concern, making the longitudinal monitoring of cardiovascular biomarkers vital for early diagnosis and intervention. A core challenge is the inference of cardiac pulse parameters from pulse waves, especially when acquired from wearable sensors at peripheral body locations. Traditional machine learning (ML) approaches face hurdles in this context due to the scarcity of labeled data, primarily sourced from clinical settings. Simultaneously, physical…Apple Machine Learning Research