Cardiovascular Risk Assessment from Wrist Photoplethysmography Signal of Smart Watch Using Attention-Based Techniques

Project Details


The development of VLSI technology has led to the prosperous growth of wearable devices. With the global challenge posed by an increasing aging population to medical and social care systems, wearable devices have emerged to enable pervasive healthcare and physiological assessment. In this project, we aim to develop technology to assist cardiovascular risk assessment including blood pressure (BP) estimation and pulse wave velocity (PWV) estimation from wrist photoplethysmography (PPG) gathered by smart watch. The attention-based techniques which allow the model to focus on different part of input sequence to reveal long-range dependencies will be employed to upgrade the estimation accuracy. The model efficiency is also considered for lightweight requirements of edge-computing applications.
Effective start/end date1/07/2330/06/25

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 17 - Partnerships for the Goals


  • Photoplethysmography
  • Blood pressure
  • Attention-based mechanism


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