Ventilator Hill Climbing Algorithm for Dynamic Biometric Adjustment
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Solution Overview
Problem
Current mechanical ventilator systems for patients with chronic respiratory insufficiency or failure lack timely and effective remote monitoring and adjustment capabilities, leading to suboptimal therapy settings due to the absence of medical professionals and the complexity of existing auto-titrating algorithms, which can be opaque and inconsistent between manufacturers.
Innovation Solution
A programmable ventilation system that allows clinicians to set operational boundaries for ventilator settings, using a hill climbing algorithm to continuously adjust parameters based on patient biometric data to maximize a health score, ensuring transparency and control without relying on diagnostic functions or hidden algorithms, thus enabling timely and effective adjustments without expert manpower constant attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing auto-titrating algorithms are used, then ventilator settings are adjusted automatically, but the algorithms are opaque and inconsistent between manufacturers leading to unreliable therapy optimization
Solution Approach 1:
The system implements a closed-loop feedback mechanism where biometric data from wearable sensors continuously monitors patient respiratory parameters (respiratory rate, tidal volume, oxygen saturation). This feedback drives automatic adjustment of ventilator settings through a transparent algorithm that responds to measured physiological changes, ensuring reliable and consistent therapy optimization across different manufacturers.
Solution Approach 2:
The ventilator system performs self-adjustment of therapy parameters based on real-time biometric data from the patient. The integrated algorithm automatically modifies ventilator settings without requiring external medical professional intervention, enabling the system to serve itself in optimizing patient-specific respiratory support while maintaining transparency through programmable boundary conditions.
2Ease of operation
If remote monitoring with digital dashboard is implemented, then clinician can review patient remotely, but the review is sporadic and spaced days, weeks, or months apart leading to delayed therapy adjustments
Solution Approach 1:
The system enables continuous monitoring of patient biometric data through wearable sensors that transmit respiratory parameters in real-time to the ventilator. This continuous data stream allows for ongoing assessment of patient condition and immediate automatic adjustment of ventilator settings, eliminating the sporadic and delayed nature of traditional remote digital dashboard reviews.
Solution Approach 2:
The patent replaces the manual review process (clinician periodically checking digital dashboard) with an automated electronic system that continuously processes biometric data and automatically adjusts ventilator settings. This substitution of mechanical/manual operations with electronic automation eliminates delays and enables timely, continuous therapy optimization.
3Stability of the object's composition
If fixed prescription ventilator settings are used, then therapy is stable, but the settings cannot adapt to progressive or relapsing respiratory conditions
Solution Approach 1:
The system transitions from static fixed prescription settings to dynamic adaptive therapy. Biometric sensors continuously measure patient respiratory parameters, and the ventilator algorithm automatically adjusts settings in real-time based on detected changes in patient condition. This dynamic approach maintains stability through controlled adjustments while adapting to progressive or relapsing respiratory conditions.
Solution Approach 2:
The patent implements automatic modification of ventilator parameters (respiratory rate, tidal volume, pressure support) based on real-time biometric data. When patient physiology changes—whether progressive deterioration or relapse—the system detects these changes through sensor data and adjusts therapy parameters accordingly, enabling the fixed prescription to become adaptable to changing conditions.
4Reliability
If expert manpower constantly monitors and adjusts therapy settings, then patient care is optimized timely, but the solution is not scalable for large populations
Solution Approach 1:
The ventilator system performs self-adjustment of therapy parameters based on real-time biometric data from wearable sensors. The integrated algorithm automatically modifies ventilator settings without requiring external medical professional intervention, enabling the system to serve itself in optimizing patient-specific respiratory support. This automation makes timely therapy optimization scalable to large populations.
Solution Approach 2:
The patent replaces the need for constant expert manpower with an automated electronic system that processes biometric data and adjusts ventilator settings. This substitution of manual medical professional operations with electronic automation enables timely therapy optimization to be scaled across large patient populations without proportionally increasing healthcare workforce requirements.
Data Source
AI summary
A system is provided for dynamically controlling operation of a ventilator for automatic adjustment of one or more operational settings based on patient biometric data. A ventilator prescription includes initial operational settings, minimum and maximum operational boundaries for each operational setting, a health score formulae for determining a current health score based on patient biometrics, an interval for evaluating current operational settings, and a selected optimization protocol for systematically trialing one of the operational settings to optimize the current health score. The ventilator starts with the initial configuration, monitors patient biometrics, periodically determines a current health score, systematically trials new operational settings and for each trialed setting that improves the Health Score resets the current configuration to the trialed confirmation (hill climbing methodology).