Surgical Table CPR Detection via Force Sensor
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for collecting patient data during cardiopulmonary resuscitation are cumbersome, leading to potential omission of critical information, as they require manual intervention and may not accurately distinguish between relevant and irrelevant forces applied to a patient on a surgical table.
Innovation Solution
A surgical table equipped with a force sensor and controller that automatically detects and differentiates forces caused by cardiopulmonary resuscitation from other forces by using predefined force peak value and interval ranges, allowing for reliable and automatic data collection without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data collection methods are used for cardiopulmonary resuscitation, then flexibility and adaptability are maintained, but reliability and completeness of data collection deteriorate due to cumbersome procedures and potential omission
Solution Approach 1:
The surgical table system performs automatic self-monitoring of forces during cardiopulmonary resuscitation. The force sensor continuously detects forces on the tabletop, and the controller automatically evaluates these forces to determine CPR events, storing the data without requiring manual intervention. This self-service approach ensures reliable and complete data collection while eliminating the complexity of manual monitoring procedures.
2Measurement precision
If force detection is continuously performed during surgical table motion, then detection completeness is improved, but measurement precision deteriorates due to inability to distinguish CPR forces from motion forces
Solution Approach 1:
The controller is pre-programmed with knowledge of typical surgical table motion patterns and their associated force signatures. Before CPR detection begins, the system has already stored reference data about forces generated during table positioning and movement. When forces are detected during actual CPR, the controller compares them against these pre-established motion force patterns, enabling precise differentiation between CPR-compression forces and table-motion forces without delaying detection.
3Reliability
If all detected forces are considered as cardiopulmonary resuscitation forces, then detection sensitivity is improved, but reliability deteriorates due to false positives from other forces
Solution Approach 1:
The controller applies different evaluation criteria to different force patterns detected by the sensor. Instead of using a single uniform threshold for all forces, the system analyzes local characteristics of each force event - such as the magnitude, duration, and pattern of force application - and compares them against known CPR force signatures. This localized, differentiated approach ensures that only forces matching CPR patterns are identified as such, eliminating false positives from other sources while maintaining high detection reliability.
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 reliable and automatic collection of cardiopulmonary resuscitation data, reducing the need for manual logging and enhancing the accuracy of data capture, including duration, which can be stored or transferred to electronic medical records for further analysis.
Implementation Method 1
a force sensor (4) configured to detect a force exerted to the tabletop (3)
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A surgical table (1) comprises a base (2), a tabletop (3) attached to the base (2), a force sensor (4), and a controller (5). The force sensor (4) is configured to detect a force exerted to the tabletop (3) and to transmit the force to the controller (5). The controller (5) is configured to evaluate the force exerted to the tabletop (3) and to execute a predefined routine for determining cardiopulmonary resuscitation for a patient lying on the tabletop (3) by distinguishing forces caused by the cardiopulmonary resuscitation from other forces exerted to the tabletop (3).