Memory-Supported Control Means for Dialysis Blood Pressure Prediction
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Solution Overview
Problem
Current therapy devices for extracorporeal blood purification, such as those used in hemodialysis, lack the ability to predict and proactively control blood pressure drops, which can lead to complications like hypotonia and dizziness, as they only consider blood pressure developments up to the actual treatment time and not subsequent periods for predictive analysis.
Innovation Solution
A memory-supported control means that analyzes blood pressure developments from preceding therapy procedures to select and use guide values for prospective blood-pressure control, predicting future drops and adjusting ultrafiltration rates and dialysate conductivity to prevent them, with a hit rate of over 85% for predicting abnormalities like blood pressure drops within 30 minutes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If blood-pressure measurements are performed only at interval points based on preceding therapy procedures up to actual treatment time, then the number of measurements is reduced, but the ability to predict future blood-pressure drops is insufficient
Solution Approach 1:
The control means performs preliminary analysis of blood-pressure developments from preceding therapy procedures (including time periods after actual treatment time) to predict future blood-pressure drops before they occur. This allows proactive adjustment of ultrafiltration rates and dialysate conductivity to prevent hypotonic events, rather than merely reacting to interval-based measurements.
Solution Approach 2:
The system incorporates feedback loops where blood-pressure measurements from actual treatment are compared with predicted values derived from preceding therapy procedures. When deviations are detected, the control means adjusts treatment parameters accordingly, creating a closed-loop control system that continuously improves prediction accuracy and prevents blood-pressure drops.
2Device complexity
If blood-pressure control is based only on values up to actual treatment time, then the control process is simpler, but prospective blood-pressure control and prediction of future drops is not achieved
Solution Approach 1:
The control means performs preliminary analysis of blood-pressure developments from preceding therapy procedures (including time periods after actual treatment time) to predict future blood-pressure drops before they occur. This allows proactive adjustment of ultrafiltration rates and dialysate conductivity to prevent hypotonic events, rather than merely reacting to interval-based measurements.
Solution Approach 2:
The system dynamically adapts the control strategy by selectively incorporating data from preceding therapy procedures based on their relevance to the current treatment situation. The control means can adjust the weight given to different historical periods and treatement parameters, creating a flexible, adaptive control system that maintains reliability without excessive complexity.
3Ease of operation
If interval-based blood-pressure measurement is used with uniform interval lengths, then measurement scheduling is simplified, but the ability to respond to random or clinically requested measurements is reduced
Solution Approach 1:
The measurement system dynamically adjusts between interval-based scheduling and on-demand measurements. The control means can initiate additional measurements based on clinical indicators, patient condition changes, or medical personnel requests, while maintaining the baseline interval-based schedule. This creates a hybrid system that preserves scheduling simplicity while gaining clinical flexibility.
Solution Approach 2:
The system incorporates feedback mechanisms where blood-pressure trends, patient symptoms, or other monitoring parameters trigger additional measurements beyond the regular interval schedule. This allows the system to maintain simple default scheduling while automatically adapting to clinical needs through feedback-driven measurement initiation.
Data Source
AI summary
The therapy device stores the time profiles of the blood pressure and of other influencing variables during preceding therapy procedures. The time profile of the blood pressure and of other influencing variables during the actual therapy is also recorded. An analytical comparison is then made between the time profiles of the blood pressure and of other influencing variables during the actual measurement procedure and those during preceding therapy procedures. Depending on the comparison, a prospective blood pressure control is carried out in order to prevent drops in blood pressure in a subsequent time period.