Instrumented Head Support Monitoring for Patient Restlessness Detection
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Solution Overview
Problem
There is a need to monitor hospital patients effectively while they are resting in a bed, to promptly and accurately report any conditions of concern such as discomfort, restlessness, agitation, or attempts to exit the bed, which existing technologies have not adequately addressed.
Innovation Solution
A method involving an instrumented head support with a monitoring package that includes sensors and a processor to establish the spatial and temporal relationship of the occupant's head, using force-related parameters and other data sources to assess the occupant's state and report any deviations from acceptable conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring methods are used, then the system is simple, but the monitoring accuracy and ability to detect patient conditions is insufficient
Solution Approach 1:
The monitoring system is segmented into multiple independent sensor components (pressure sensors, load cells) distributed at different locations on the bed and pillow. Each sensor independently monitors specific zones, and their data is combined to achieve comprehensive accurate monitoring of patient position, movement, and physiological states without requiring a single complex monitoring system
Solution Approach 2:
The instrumented pillow and bed structure serve multiple functions: it provides mechanical support for the patient's head and body, while simultaneously integrating pressure sensors and load cells to monitor position, detect movements, assess comfort levels, and identify potential escape attempts. This multi-functionality improves monitoring accuracy without proportionally increasing system complexity
2Reliability
If continuous monitoring is implemented, then patient conditions are detected promptly, but false alarms from transient movements increase
Solution Approach 1:
The system establishes a baseline lateral position history and vertical position history for the patient before monitoring begins. These pre-established patterns serve as reference data to distinguish between normal transient movements (such as adjusting position for comfort) and abnormal patterns (such as repetitive movements indicating discomfort or escape attempts). By comparing real-time sensor data against these preliminary established patterns, the system reduces false alarms while maintaining reliable detection of actual conditions
Solution Approach 2:
The monitoring system continuously compares current sensor readings against the established position histories and provides feedback to adjust monitoring sensitivity. When transient movements are detected, the system references the lateral and vertical position histories to determine if the movement pattern is consistent with normal behavior or indicates a condition requiring attention. This feedback mechanism filters out noise from routine movements while maintaining alertness to genuine concerns
3Area of stationary object
If multiple sensors are used, then monitoring coverage is improved, but device complexity and cost increase
Solution Approach 1:
The monitoring area is segmented into distinct zones: the bed surface with pressure sensors monitoring body position and movement, and the instrumented pillow with load cells monitoring head position and lateral movements. Each segment uses appropriate sensor types for its specific monitoring function, achieving comprehensive coverage without requiring every location to have the same complex sensor array
Solution Approach 2:
The instrumented pillow merges the functions of a simple support cushion with active monitoring capabilities. By integrating load cells directly into the pillow structure, the system achieves head position monitoring without adding separate complex equipment. Similarly, pressure sensors are embedded in the bed surface, combining structural support with monitoring functions to expand coverage while managing complexity
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
This solution enables accurate monitoring and reporting of patient status, distinguishing between sustained and transient movements, and detecting repetitive patterns that indicate discomfort or attempts to exit the bed, thereby enhancing caregiver response to patient needs.
Implementation Method 1
The instrumentation package includes at least one sensor for sensing a parameter. In one embodiment the parameter is a force related parameter.
Data Source
AI summary
A method for monitoring an occupant of an occupant support comprises 1) establishing a lateral position history of the occupant, which history includes an assessment of how frequently the occupant's head undergoes a lateral transition on a head support, 2) establishing a vertical position history of the occupant which accounts for how frequently the weight of the occupant's head is applied to and removed from the head support, and 3) if the lateral position history indicates sustained repetitive lateral movement or the vertical history indicates other than sustained presence of the occupant's head on the head support, reporting that the occupant is in a state other than an acceptable state.