Innovative Cuffless Blood Pressure Monitoring Using Physics-Informed Machine Learning
Physics-informed machine learning enables continuous cuffless blood pressure monitoring
Medical News
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Researchers from the University of Utah and the University of Illinois, Chicago, have developed a smartwatch that continuously monitors blood pressure without cuffs. This device uses physics-informed machine learning to enhance accuracy and interpretability, addressing limitations of existing blood pressure monitors.
- 01The new smartwatch measures blood pressure and flow continuously through bioimpedance, using electrical signals rather than light.
- 02This technology aims to provide a more comprehensive understanding of blood pressure fluctuations throughout the day, unlike traditional cuff methods.
- 03The device was tested on 150 individuals, including patients in intensive care, ensuring its applicability in real-world healthcare settings.
- 04The research combines principles of fluid dynamics and electromagnetism to enhance the reliability of blood pressure readings.
- 05The University of Utah is exploring licensing opportunities to commercialize this innovative technology.
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A team from the University of Utah and the University of Illinois, Chicago, has developed a groundbreaking smartwatch capable of continuously monitoring blood pressure without the discomfort of traditional cuffs. This device leverages physics-informed machine learning, which integrates physical principles into the model, enhancing both accuracy and interpretability. Unlike existing wearable devices that utilize light to estimate blood pressure, this smartwatch employs bioimpedance technology, measuring the electrical properties of blood flow at the wrist. The research, which will be published in *Nature Communications*, demonstrates that this approach can provide continuous blood pressure data, capturing fluctuations throughout daily activities. The device was rigorously tested on 150 participants, including those in intensive care, highlighting its potential for real-world healthcare applications. The University of Utah holds the intellectual property rights and is currently seeking licensing opportunities to bring this innovative solution to market.
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This technology could significantly improve cardiovascular health monitoring, providing continuous insights into blood pressure changes.
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