Load Cell Bed Monitoring for Patient Immobility Detection
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Solution Overview
Problem
Existing methods for determining patient activity level in a hospital setting are inconvenient and require continuous caregiver observation, such as the Cohen-Mansfield Agitation Inventory, which is time-consuming and inefficient.
Innovation Solution
A system and method using load cells in patient support apparatuses, like hospital beds, to detect total weight, changes in weight over time, and operational characteristics to determine patient activity levels without invasive or intrusive monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods like Cohen-Mansfield Agitation Inventory are used to determine patient activity level, then measurement accuracy is improved, but device complexity and ease of operation deteriorate due to requiring continuous caregiver observation and recording over two weeks
Solution Approach 1:
The patient support apparatus autonomously monitors patient activity using integrated load cells and processing systems, eliminating the need for caregiver observation and manual recording. The system automatically detects weight changes, determines operational characteristics, and generates activity level assessments without human intervention, thereby simplifying the monitoring process while maintaining measurement accuracy.
Solution Approach 2:
The patent replaces the manual mechanical observation system with an automated electronic sensing system using load cells that continuously measure weight changes. This substitution transforms the complex manual recording process into a simple automated electronic measurement system that provides continuous objective data without requiring caregiver time or expertise.
2Measurement precision
If conventional caregiver observation methods are used, then measurement accuracy is improved, but loss of time increases due to requiring continuous observation over a two-week period
Solution Approach 1:
The load cell-based system provides continuous real-time monitoring of patient weight changes, enabling uninterrupted collection of activity data. Unlike discrete caregiver observations scheduled over two weeks, the automated system continuously captures all patient movements and activities, significantly reducing the total time required while improving measurement completeness and accuracy.
Solution Approach 2:
The system autonomously performs the entire measurement process without requiring caregiver time or attention. The automated processing of load cell data and generation of activity assessments eliminates the time burden on caregivers while maintaining or improving measurement accuracy through continuous objective monitoring.
3Ease of operation
If load cells are used to detect patient activity, then ease of operation is improved and loss of time is reduced, but measurement precision may deteriorate due to potential limitations in detecting subtle patient movements
Solution Approach 1:
The system dynamically adjusts its analysis by evaluating multiple operational characteristics including rate of change, duration, and variance of weight measurements. This dynamic multi-parameter analysis enables the system to detect both subtle gradual movements and significant activities, maintaining measurement precision across different types of patient movements while keeping the system easy to operate through automated processing.
Solution Approach 2:
The patent enhances measurement precision by adding temporal dimensions to the weight detection data. Instead of simple static weight measurements, the system analyzes weight changes over time, incorporating rate of change, duration, and variance metrics. This multi-dimensional analysis transforms basic load cell data into precise activity level assessments, overcoming the limitation of detecting only substantial movements.
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 convenient, continuous monitoring of patient activity levels on shorter timescales without caregiver intervention, providing accurate activity assessments and predictions.
Implementation Method 1
a patient support apparatus having at least one load cell... determining a total weight detected by the at least one load cell, determining changes in the total weight detected by the at least one load cell over a given period of time
Data Source
AI summary
There is provided a system, a patient support apparatus and a method for determining immobility of a patient based on a level of patient activity. The patient support apparatus has at least one load cell. Sensor data from the at least one load cell is used to compute the level of patient activity. If the level of patient activity is below a threshold, the movement of the center of gravity of the patient is computed. If the movement of the center of gravity is below a movement threshold, the patient is determined to be immobile. An indication of immobility associated with an immobility time period is displayed.