Tissue Identification via Remission Spectroscopy
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Solution Overview
Problem
Current medical high frequency surgical instruments face challenges in accurately measuring tissue composition and temperature during procedures, leading to potential tissue damage and inefficiencies in coagulation and sealing processes.
Innovation Solution
A medical high frequency surgical instrument equipped with a light source and sensor system that uses remission spectroscopy to detect tissue components, calculate their volume fractions, and adjust energy input accordingly, thereby enhancing precision and safety during surgical procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high frequency current is applied for tissue coagulation and cutting, then hemostasis and tissue separation are achieved, but thermal damage to surrounding tissue and instrument overheating may occur
Solution Approach 1:
The system continuously measures tissue impedance during the coagulation process and uses this feedback to automatically adjust the high frequency current parameters. The control unit monitors impedance changes in real-time and modifies energy delivery to maintain optimal coagulation while preventing thermal damage to surrounding tissues and instrument overheating
Solution Approach 2:
The system dynamically changes electrical parameters (current amplitude, frequency, pulse duration) based on measured tissue impedance characteristics. By adapting these parameters in real-time according to tissue type and state, the system achieves reliable coagulation while minimizing thermal damage to surrounding structures
2Measurement precision
If tissue impedance measurement is used to control coagulation, then energy input can be adjusted, but accurate measurement of tissue composition and temperature is difficult
Solution Approach 1:
The system uses tissue impedance as an intermediary parameter that indirectly reflects tissue composition, temperature, and hydration state. By measuring impedance changes during coagulation, the system infers tissue state without requiring direct temperature or compositional measurement, thus overcoming the difficulty of direct detection while maintaining measurement precision
Solution Approach 2:
The system replaces direct physical measurement methods (such as temperature probes or compositional analysis) with electrical impedance measurement. This substitution enables non-intrusive, real-time monitoring of tissue state during coagulation, achieving accurate tissue composition analysis without the complexity of direct measurement techniques
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 solution enables accurate online measurement of tissue composition and temperature, reducing the risk of tissue damage and improving the quality of coagulation and sealing processes by optimizing energy input based on real-time tissue analysis.
Implementation Method 1
at least one sensor, which is provided and adapted to detect a second light with a remission spectrum (if applicable, different from the illumination light spectrum) which is reflected by the tissue as a result of light impingement by the light source
Implementation Method 2
high frequency alternating current is passed through the human body or a body part in order to selectively atrophy tissue due to the heating caused in the process (coagulation) and/or to cut it (electrotomy)
Implementation Method 3
high frequency alternating current is passed through the human body or a body part in order to selectively atrophy tissue due to the heating caused in the process
Data Source
AI summary
A method for measuring temperature includes emitting light with an illumination spectrum into a tissue with at least one illumination, receiving the remission of light with a remission spectrum from the tissue using at least one detector, converting the remission spectrum into a detector signal, sending the detector signal to a calculating unit, calculating a first theoretical remission spectrum based on a solution for describing the propagation of light in the tissue with the calculating unit, assuming estimated volume fractions of the individual tissue components, adapting the theoretical remission spectrum to the measured remission spectrum, and calculating at least one volume fraction of a tissue component from the remissions spectrum using a minimization algorithm, which is used by the calculating unit to adapt the theoretical remission spectrum to the measured remission spectrum using variations in the volume fractions of the individual tissue components which are present in the tissue.