Bed Force-Sensor System for Atrial Fibrillation Risk Detection
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Solution Overview
Problem
Existing methods for detecting cardiac conditions such as atrial fibrillation require users to wear physiological sensors, which can be uncomfortable and lead to low compliance, while home-based solutions lack the ability to accurately assess cardiac activity.
Innovation Solution
A bed equipped with force sensors that transmit force streams to a computing system, which determines cardiac metrics like heartrate, heartrate variability, and stroke volume to assess the risk of atrial fibrillation and other cardiac conditions without the need for wearable sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable physiological sensors are used to detect cardiac conditions, then measurement precision is improved, but ease of operation deteriorates due to discomfort and low compliance
Solution Approach 1:
The patent replaces wearable mechanical/physiological sensors with a bed-based force sensing system. The bed uses force sensors to detect cardiac-induced movements and vibrations, converting mechanical forces into electrical signals for cardiac analysis. This substitution eliminates the need for uncomfortable wearable devices while maintaining detection capability through indirect measurement of cardiac activity via body movements on the bed.
2Ease of operation
If home-based solutions are used for cardiac monitoring, then ease of operation is improved, but measurement precision deteriorates due to inability to accurately assess cardiac activity
Solution Approach 1:
The patent utilizes mechanical vibrations and oscillations generated by cardiac activity that are transmitted through the body to the bed. Force sensors detect these subtle vibrations, and signal processing algorithms extract cardiac metrics such as heart rate and rhythm. This approach enables accurate cardiac monitoring in a home setting by leveraging the natural mechanical vibrations produced by the heart during normal sleeping or resting positions.
Solution Approach 2:
The bed structure serves as an intermediary between the user's cardiac activity and the detection system. Force sensors embedded in the bed detect forces transmitted through the user's body, which act as a mediator conveying cardiac information to the sensing system without requiring direct contact with physiological sensors on the user's skin.
3Ease of operation
If wearable sensors are replaced with bed-based monitoring, then ease of operation is improved through natural user interactions, but device complexity increases due to force sensor integration and signal processing requirements
Solution Approach 1:
The bed-based system serves multiple functions: it provides structural support for the user, contains integrated force sensors for cardiac monitoring, and can potentially detect other physiological parameters through the same sensing mechanism. This multi-functionality reduces the need for separate dedicated devices while managing complexity through consolidated design.
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
Enables accurate detection of cardiac conditions like atrial fibrillation through natural user interactions, improving compliance and comfort by using a bed as a monitoring device.
Implementation Method 1
Each of the force sensors in the plurality of force sensors can be configured to: sense force applied to the bed by a user and transmit, to the computing system, a stream of the plurality of force streams based on the sensing of the force applied to the bed
Implementation Method 2
Computing hardware can identify one or more cardiac measures for the user, including heartrate, heartrate volatility, and/or stroke volume
Implementation Method 3
The high-frequency power data for the user comprises an estimate of a frequency-domain heart-rate variability (HRV) metric
Data Source
AI summary
A bed has a mattress. Force sensors transmit, to a computing system, a plurality of force streams, and wherein each of the force sensors in the plurality of force sensors is configured to: sense force applied to the bed by a user; and transmit, to a computing system, a stream of the plurality of force streams based on the sensing of the force applied to the bed. The computing system including at least one processor and memory, the computing system configured to: receive the plurality of force streams from the plurality of force sensors; and determine an atrial fibrillation (AF) risk-metric for the user using at least one of the force streams.


