Non-contact continuous blood pressure estimation

A non-contact bed-mounted system using vibration sensors and AI algorithms effectively monitors blood pressure and vital signs during sleep, overcoming the limitations of existing systems by providing accurate, real-time, and affordable home monitoring.

JP2026520252APending Publication Date: 2026-06-23UNIVERSITY OF GEORGIA RESEARCH FOUNDATION INC
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
UNIVERSITY OF GEORGIA RESEARCH FOUNDATION INC
Filing Date
2024-05-03
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing sleep monitoring systems for blood pressure estimation are expensive, invasive, or impractical for home use, and lack effective non-contact methods for continuous monitoring of vital signs like heart rate, respiratory rate, and blood pressure during sleep.

Method used

A non-contact, bed-mounted continuous blood pressure monitoring system using vibration sensors mounted on a bed frame that communicate with a computing device to analyze vibration data and estimate blood pressure, heart rate, and respiratory rate through advanced AI algorithms like CNN-LSTM and VTCN models, enabling real-time monitoring without physical contact.

Benefits of technology

The system provides accurate, real-time estimation of blood pressure and other vital signs during sleep, outperforming existing models in precision and suitability for home-based, affordable, non-invasive monitoring, addressing the limitations of current technologies.

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Abstract

This disclosure relates to a non-contact system for monitoring the blood pressure of an object (e.g., a human patient, a non-human patient, etc.) based on vibration signals of a structure supporting the object. The system may include a sensor coupled to the structure. A computing device communicating with the sensor can acquire real-time sensor data from the sensor, which may include vibration signal segments recorded at a predetermined sampling rate. The computing device can further filter the sensor data to remove vibration signal segments not related to vital activity, and analyze the filtered sensor data to determine a continuous, real-time blood pressure measurement of the object, including an estimated systolic blood pressure value and an estimated diastolic blood pressure value. A user interface may display at least the blood pressure measurement.
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