Patient Support Sensors for Sleep State and Occupant Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing patient support apparatuses lack advanced sensing capabilities to differentiate between patients and objects, monitor vital signs, and provide real-time data for improved patient care and facility operations.
Innovation Solution
Incorporation of force sensors and vital sign sensors into patient support apparatuses to detect downward forces and vital signs, enabling differentiation between patients and objects, automatic zeroing of scales, and real-time monitoring with data transmission to healthcare networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If force sensors and vital sign sensors are incorporated into the patient support apparatus, then measurement precision and patient monitoring capability are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (force sensors, vital sign sensors, pressure sensors) into an integrated patient monitoring system within the support apparatus. This merging approach enables comprehensive patient information collection while managing system complexity through unified control and processing architecture.
Solution Approach 2:
The support apparatus is designed with multi-functional sensors that can detect various parameters including weight, pressure distribution, and vital signs. This universal sensing capability allows a single system to perform multiple monitoring functions, improving measurement precision across different patient care needs.
2Productivity
If real-time monitoring and data transmission capabilities are added, then productivity and patient care quality are improved, but use of energy increases
Solution Approach 1:
The system implements continuous real-time monitoring of patient parameters and maintains constant data transmission capability. This continuous operation improves patient care responsiveness and productivity by ensuring caregivers always have current patient information without interruption.
Solution Approach 2:
The monitoring system incorporates feedback mechanisms where sensor data is continuously transmitted to caregivers, who can then respond to patient needs in real-time. This feedback loop improves patient care quality and operational efficiency by enabling timely interventions based on actual patient status.
3Ease of operation
If automatic patient identification and event detection features are implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system implements automatic patient identification and event detection capabilities that operate without manual intervention. The sensors automatically detect patient presence, identify events such as patient exits or position changes, and transmit information without requiring caregiver input, thereby improving ease of operation.
Solution Approach 2:
The control system is pre-programmed with algorithms to automatically analyze sensor data, identify patient events, and trigger appropriate responses. This preliminary configuration enables the system to perform complex identification and detection tasks automatically, simplifying operation for caregivers while managing complexity through pre-established processing logic.
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
Enhances patient identification, reduces interruptions, improves sleep quality, and facilitates efficient facility operations by providing real-time data and alerts for caregivers.
Implementation Method 1
The plurality of force sensors are coupled to the frame and adapted to output signals corresponding to downward forces exerted on the support surface
Data Source
AI summary
A person support apparatus includes sensors for monitoring aspects of a person positioned thereon. The outputs from the sensors are used to distinguish between new and prior occupants of the support apparatus, automatically zero an integrated scale system, distinguish between objects and humans on the support apparatus, determine if a person is sleeping or awake, monitor and characterize movement levels of the person, record a log of likely events regarding a support surface of the apparatus, propose identifications of objects added to or removed from the support surface, record force outputs, and/or other purposes. A person's sleep state may also be obtained and forwarded to a remote location. The sleep state data may be used to mute and/or control alerts or indicators, and/or to predict when a person is going to wake up and likely exit the support apparatus.


