Bed Load Detectors for Center of Gravity Calculation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing biological information monitoring systems fail to accurately determine the center of gravity position of a subject on a bed, which is crucial for monitoring respiratory and heartbeat movements.
Innovation Solution
A biological information monitoring system comprising load detectors under the bed, a load separation unit to isolate load components oscillating due to heartbeat, and a center of gravity position calculation unit to accurately determine the subject's center of gravity based on these oscillations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If load detectors are arranged under legs of the bed to measure respiratory condition, then the measurement can be performed without attaching devices to the subject, but the center of gravity position cannot be determined accurately
Solution Approach 1:
The patent segments the load detection function by using multiple load detectors arranged at different positions under the bed legs. Each detector measures local load variations, and the control unit integrates these segmented measurements to calculate the overall center of gravity position, thereby achieving accurate non-invasive monitoring
Solution Approach 2:
The control unit acts as an intermediary that processes the raw load detection signals from the detectors. It separates the heartbeat-related load oscillations from other movements and uses these isolated signals to calculate the subject's center of gravity position, resolving the contradiction between non-invasive measurement and measurement accuracy
2Productivity
If load detectors are used to detect subject load, then the system can monitor biological information, but the heartbeat-related load oscillations cannot be separated from other movements
Solution Approach 1:
The control unit extracts the heartbeat-related load oscillations from the total load signal by identifying characteristic oscillation patterns. This extraction process separates the heartbeat information from other movements such as respiration and body shifts, enabling focused analysis of cardiac activity without invasive attachment
Solution Approach 2:
The system uses feedback mechanisms where the control unit continuously analyzes load detection signals, identifies heartbeat-related oscillations based on their characteristic frequencies and patterns, and adjusts the center of gravity calculation accordingly. This feedback loop ensures accurate heartbeat signal isolation while maintaining continuous biological information monitoring
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 precise monitoring of the subject's center of gravity, allowing for accurate analysis of respiratory and heartbeat movements without attaching devices to the subject, thereby improving the assessment of their biological information.
Implementation Method 1
a plurality of load detectors which are to be placed in the bed or under legs of the bed, and which are configured to detect a load of the subject
Implementation Method 2
a load separation unit configured to separate a load component which oscillates according to a heartbeat of the subject, from the load of the subject
Data Source
AI summary
There is provided a biological information monitoring system for monitoring a biological information on a subject on a bed. The system includes a plurality of load detectors which are to be placed in the bed or under legs of the bed, and which are configured to detect a load of the subject; a load separation unit configured to separate a load component which oscillates according to a heartbeat of the subject, from the load of the subject; and a center of gravity position calculation unit configured to obtain a position of a center of gravity of the subject based on the load component which oscillates according to the heartbeat of the subject.