Adaptive Pressure Filtering for Stable Intracavity Pressure Control
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Solution Overview
Problem
Existing fluid management systems in flexible ureteroscopy and endoscopic procedures face challenges in accurately monitoring and controlling intracavity pressure due to pulsation and noise in pressure readings, which can lead to inconsistent data interpretation and potential patient risks such as pyelovenous backflow and sepsis.
Innovation Solution
A configurable data filter is implemented in the fluid management system to process data signals from sensors, using an adaptive data filter that reduces noise, monitors pulsation, and averages oscillations to generate a reliable pressure profile, allowing for precise control of fluid flow and pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If pressure readings are monitored continuously from sensors, then real-time pressure control is achieved, but noise and pulsation in readings reduce measurement accuracy
Solution Approach 1:
The system performs preliminary actions by collecting multiple pressure readings over a predetermined time period before making control decisions. The controller accumulates pressure data points and only after gathering sufficient data does it generate control signals, ensuring that transient noise and pulsations are averaged out while maintaining responsive pressure control
Solution Approach 2:
The system maintains continuous pressure monitoring and control operation without interruption. The controller continuously receives pressure readings, continuously updates the pressure profile, and continuously generates control signals to the fluid delivery device, ensuring uninterrupted pressure management while filtering out transient disturbances through the continuous data stream
2Reliability
If multiple data signals are collected and processed, then measurement reliability is improved, but data processing time and system complexity increase
Solution Approach 1:
The system pre-establishes the pressure profile by collecting and processing multiple data signals before control decisions are made. The controller accumulates a predetermined number of pressure readings and generates the pressure profile in advance, which then serves as the basis for control actions, improving reliability through comprehensive data analysis
Solution Approach 2:
The system collects more pressure readings than the minimum single data point would provide, gathering excessive data signals over a predetermined time period. This excessive data collection approach ensures that transient noise and pulsations are captured and averaged out, with the understanding that the additional processing is necessary to achieve the desired control reliability
Data Source
AI summary
Methods and systems for controlling parameters of a fluid management and medical device system. An illustrative method may comprise initiating a command to acquire a plurality of data signals at predetermined time intervals from a sensor of a fluid management system or a medical device. Upon acquisition, the data signals may be stored in a buffer until a predetermined minimum number of data signals have been acquired. A profile may be generated with the plurality of data signal. The profile may be filtered with an adaptive data filter configured to perform one or more passes over the profile. Each pass of the one or more passes of the adaptive data filter may monitor and analyze a different feature of the data signals and the one or more passes may vary depending on the one or more settings received from the sub system of the fluid management system.