Digital health in cardiovascular disease: The current status of remote monitoring in heart failure and the potential future development

The thesis explores the role of digital health technologies in managing heart failure (HF) and out-of-hospital cardiac arrest (OHCA). It evaluates the effectiveness of remote monitoring (RM) in HF care, focusing on its potential to reduce mortality and hospitalizations, while addressing the need for greater standardization and personalized approaches.

Wearable technologies for HF monitoring are examined, with an emphasis on their promise and the challenges in achieving broad clinical implementation. The integration of AI with these technologies is discussed as a pathway for more personalized and responsive care.

The thesis also investigates the use of wrist-based photoplethysmography (PPG) for OHCA detection, presenting promising results from clinical studies. It highlights how AI algorithms can enhance early intervention and improve survival rates.