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Wearable Health Technology to Predict Cardiovascular Disease Risk

Strategic Insights

— 1 min read

Wearable health technology has evolved beyond just tracking daily steps and physical activity. A new study led by researchers at The University of Texas at Arlington is exploring the potential of using data from everyday fitness trackers to predict a person's risk of developing cardiovascular disease. The two-year study, backed by a $400,000 grant from the Texas Higher Education Coordinating Board, aims to analyze data from commercially available wearable devices to monitor physical activity, sleep, and blood pressure, and use advanced mathematical modeling to predict cardiovascular disease risk or vascular dysfunction.

Key Takeaways:

  • The study, led by Yue Liao, UTA assistant professor of kinesiology, aims to detect early signs of cardiovascular disease by analyzing data from wearable sensors, including blood pressure, heart rate, and sleep patterns.
  • The study will use commercially available wearable devices to collect data from participants, making the approach more accessible to the general public than traditional research tools.
  • The researchers aim to develop a machine-learning model that can predict cardiovascular disease risk using data from wearable sensors, allowing for early intervention and lifestyle changes.
  • A key focus of the study is sleep, an often-overlooked factor in cardiovascular health, and how it affects energy levels, physical activity, and overnight organ function.
  • The study involves a multidisciplinary team, including co-investigators Christine Spadola, Souvik Roy, and Matthew Brothers, from social work, mathematics, and kinesiology departments.

Statistics:

  • The study has received a $400,000 grant from the Texas Higher Education Coordinating Board to support the two-year research project.
  • The study aims to analyze data from wearable sensors, including blood pressure, heart rate, and sleep patterns, to predict cardiovascular disease risk.
  • The researchers plan to use commercially available wearable devices, making the approach more accessible to the general public.

Sources:

  • Governor's University Research Initiative
  • The University of Texas at Arlington
  • NewsRx LLC
  • Medical Devices & Surgical Technology Week

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