Transmyocardial Laser Revascularization System with AI Parameter Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing Transmyocardial laser revascularization (TMLR) procedure faces challenges with heart tissue damage and limited safety due to inadequate control over laser parameters, particularly in creating and maintaining patent channels without causing thermal damage.
Innovation Solution
A system integrating a CO2 laser unit with EKG, VCG, echocardiography, and infrared units, along with a control unit and AI module, optimizes laser parameters such as angle, timing, power density, and wavelength to ensure channels are created when the heart is full of blood, minimizing thermal damage and enhancing channel patency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If laser is used to create channels in the heart to improve blood supply, then channel creation and blood supply improvement are achieved, but heart tissue damage and thermal damage occur
Solution Approach 1:
The system performs preliminary assessment of cardiac electrical activity using EKG and VCG before laser channel creation. The control unit analyzes these signals to determine optimal timing when the heart is full of blood, preparing the conditions for safe laser application before the actual channel creation occurs.
Solution Approach 2:
The system continuously monitors cardiac electrical activity through EKG and VCG units, providing real-time feedback to the control unit. This feedback mechanism allows dynamic adjustment of laser parameters based on the heart's physiological state, ensuring channels are created at optimal moments while preventing tissue damage.
2Reliability
If laser parameters are increased to improve channel creation effectiveness, then channel patency improves, but thermal damage to heart tissue increases
Solution Approach 1:
The system dynamically adjusts laser parameters including power density, pulse duration, and wavelength based on real-time cardiac electrical activity signals. The control unit modifies these parameters continuously to match the optimal phase of the cardiac cycle, creating effective channels while preventing thermal damage through adaptive parameter control.
Solution Approach 2:
The system changes multiple laser parameters simultaneously - power density, pulse duration, wavelength, and timing - based on feedback from EKG and VCG signals. This multi-parameter optimization ensures channel creation effectiveness while maintaining temperatures below damage thresholds through coordinated parameter adjustment.
3Reliability
If manual control of laser parameters is used to prevent heart damage, then safety improves, but automation and precision are reduced
Solution Approach 1:
The system uses the heart's own electrical signals from EKG and VCG to automatically determine optimal laser application timing and parameters. The control unit processes these signals and autonomously controls laser delivery without requiring manual intervention, allowing the system to self-regulate for both safety and precision.
Solution Approach 2:
The system replaces manual mechanical control with automated electronic control based on electrical signal processing. The control unit uses algorithms to interpret EKG and VCG signals and automatically adjusts laser parameters, substituting human operator control with an automated electronic system that provides both safety and precision.
4Reliability
If laser parameters are optimized based on real-time cardiac activity to prevent damage, then safety and channel patency improve, but system complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified platform - EKG monitoring, VCG analysis, real-time signal processing, and automated laser control - all managed by a single control unit. This multi-functional integration achieves high safety through comprehensive monitoring while managing complexity through centralized control architecture.
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
This approach significantly enhances the safety and effectiveness of the TMLR procedure by preventing unnecessary heart damage and maintaining channel patency, allowing for more precise and automated delivery of the laser therapy, thereby improving patient outcomes.
Implementation Method 1
a laser unit configured to generate a laser beam for the Transmyocardial laser revascularization (TMLR) procedure
Implementation Method 2
an electrocardiogram (EKG) unit for measuring an electrical activity of the heart
Implementation Method 3
a Vectorcardiography (VCG) unit for measuring an electrical activity of the heart
Implementation Method 4
optimize a plurality of laser parameters of the laser unit... ensure channels are created by the laser unit while the heart is full of blood to prevent thermal damage
Data Source
AI summary
A system and method for transmyocardial laser revascularization (TMLR) in patients in need thereof, such as patients suffering from coronary artery disease. The system includes a Laser unit, an Electrocardiogram (EKG) unit, Vectorcardiography (VCG) unit, an Echocardiography unit, a spectrum Infrared sensor unit, and a control unit. The control unit can receive investigational data from different units and use the same to optimize the laser parameters. The Control unit can further include an AI module that can further analyze patient-related data, such as age and medical condition to further optimize the laser parameters. The laser unit can operate based on the optimized parameters to prevent unnecessary damage to the heart and allow maintaining the patency of the channels made by the laser for a longer duration.