Depth Camera Hospital Bed Detection
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Solution Overview
Problem
Existing bed exit alarm systems rely on pressure changes on the mattress, which can only detect a patient's exit and not the risk of fall before it occurs, leading to false positives and inefficiencies in fall detection and prevention.
Innovation Solution
The use of depth camera systems that can detect and define the hospital bed within its field of view, allowing for real-time orientation and authentication of the setup, and enabling the system to monitor interactions between human figures and the bed surface for fall risk assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pressure sensors are used on the mattress to detect bed exit, then the system can detect when a patient leaves the bed, but it generates false positives and cannot detect fall risk before it occurs
Solution Approach 1:
The patent replaces the mechanical pressure sensor system with an optical depth camera system. The depth camera captures spatial information and uses image processing to detect patient position and bed exit events, eliminating the false positives associated with pressure sensors while providing earlier detection of fall risk through continuous visual monitoring of patient movement and posture.
2Loss of time
If the camera system continuously monitors the patient, then it can detect fall risk earlier, but it increases processing requirements and system complexity
Solution Approach 1:
The system performs preliminary actions by continuously capturing depth images and pre-processing them to identify patient presence and position. Image processing algorithms analyze spatial patterns to detect bed exit events and fall risk indicators before actual falls occur, enabling early intervention while managing complexity through efficient image analysis techniques.
3Device complexity
If the system uses depth camera imagery without other sensors, then it simplifies the sensor setup, but it increases the difficulty of detecting and measuring bed position accurately
Solution Approach 1:
The patent introduces an intermediary element - a bed-mounted reflector or marker - that enhances the visibility and detectability of the bed position in depth camera imagery. This intermediary object provides distinct spatial features that the image processing algorithm can reliably detect and track, solving the difficulty of bed position measurement while maintaining the simplicity of using only depth camera sensors.
Data Source
AI summary
Systems and methods which utilize depth camera imagery, without reliance on other sensors, to identify the patient's bed in a room setting, regardless of the placement of the camera or even whether the bed is in the room initially. The systems and methods utilize various properties of a hospital bed which are distinguishable from other objects common in a hospital or other room to identify the bed. Identification of the bed can then serve as a basis for identifying potentially dangerous bed exit behaviors.