Real-time Continuous Blood Pressure Estimation with Contact-free Bedseismogram

Area of Science:

• Biomedical Engineering
• Cardiovascular Health Monitoring
• Sensor Technology

Background:

• Continuous blood pressure monitoring is crucial for cardiovascular health management.
• Existing methods often require invasive procedures or uncomfortable wearables.
• There is a need for non-invasive, user-friendly blood pressure monitoring solutions, especially during sleep.

Purpose of the Study:

• To introduce BedDot, the first contact-free, bed-mounted continuous blood pressure monitoring sensor.
• To evaluate the accuracy, stability, and robustness of BedDot in estimating blood pressure.
• To demonstrate BedDot's compliance with major industry standards for medical devices.

Main Methods:

• Utilizing a seismic sensor integrated into a bed-mounted device (BedDot).
• Employing advanced preprocessing techniques and artificial intelligence (AI) algorithms to analyze bedseismogram signals.
• Extracting time-series features from seismic data for blood pressure estimation.

Main Results:

• BedDot accurately estimates blood pressure with high stability and robustness.
• The system meets Association for the Advancement of Medical Instrumentation (AAMI), Food and Drug Administration (FDA), and British and Irish Hypertension Society (BHS) standards.
• Performance surpasses current state-of-the-art deep learning models for time series analysis.

Conclusions:

• BedDot offers a promising non-invasive solution for continuous blood pressure monitoring during sleep.
• The technology avoids privacy and radiation concerns associated with other monitoring methods.
• BedDot has the potential to revolutionize cardiovascular health assessment and management.