Wearable And Bed Sensor Handoff for Continuous Vital Sign Monitoring
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Solution Overview
Problem
There is a significant need for a complete, easy, safe, and accurate system for remote, around-the-clock monitoring of vital signs that is comfortable for users, minimizes false alarms, and is cost-effective for outpatient use, as existing wearable devices are often uncomfortable and complex, leading to high false alarm rates and high costs.
Innovation Solution
A system comprising a stationary sensor under the bed and a wearable tracker that uses ferroelectret film and microelectromechanical system sensors, with inductive charging, to monitor health data continuously throughout the day and night, ensuring seamless data transition and user convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If existing wearable devices are used for around-the-clock monitoring, then continuous health data collection is achieved, but user comfort and usability deteriorate due to discomfort and complexity
Solution Approach 1:
The system divides monitoring into two segments: a wearable tracker for daytime/active monitoring and a stationary bed sensor for nighttime/sleep monitoring. This segmentation allows each device to be optimized for its specific use case, with the stationary sensor providing comfort during sleep while the wearable device provides portability during daytime activities.
Solution Approach 2:
The system creates a universal monitoring solution that works across different contexts (daytime/nighttime, active/resting) by combining two sensors that can be used in complementary ways. The same system architecture and data processing platform handle both wearable and stationary sensor data, providing unified around-the-clock monitoring.
2Reliability
If existing wearable devices are used for remote monitoring, then health data collection is achieved, but false alarm rates increase due to device complexity
Solution Approach 1:
The patent extracts the sensing function from the complex wearable device and places it in a simple stationary bed sensor for nighttime monitoring. This separation removes unnecessary complexity from the wearable component while maintaining reliable health data collection through the stationary sensor's ballistocardiographic measurement capability.
3Loss of information
If comprehensive around-the-clock monitoring is implemented, then complete health data is obtained, but system costs increase
Solution Approach 1:
The system employs cost-effective sensor solutions, particularly for the stationary bed sensor component, using established ballistocardiographic measurement technology that provides reliable health data at lower cost compared to continuous high-end wearable monitoring. The approach prioritizes obtaining complete health information through complementary lower-cost sensing modalities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides continuous, accurate, and user-friendly monitoring of vital signs, reducing false alarms and costs, while maintaining user comfort and usability, making it suitable for long-term outpatient use.
Implementation Method 1
the wearable tracker is based on piezoelectric materials like PZT or PVDF. One sleep tracker based on ballistocardiographic principle is the applicant's Emfit QS, which uses a cellular ferroelectret and permanently charged material
Implementation Method 2
with inductive charging, to monitor health data continuously throughout the day and night
Data Source
AI summary
A system for monitoring quantitative health data of a user, the system includes a stationary sensor device for monitoring a first set of quantitative health data of the user when the user is resting in bed; and a wearable tracker for monitoring a second set of quantitative health data of the user when the user is resting; wherein the wearable tracker is worn by the user; the first set and second set are sequential in time to obtain around-the-clock monitoring of the quantitative health data of the user.