3D Heart Murmur Spectrogram Analysis for Real-Time Detection
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Solution Overview
Problem
Current methods lack an accurate, affordable, and real-time method for detecting, evaluating, and analyzing heart murmurs in a clinical and surgical setting, particularly for veterinary and human medicine, lacking sensitivity in subclinical detection and comparative analysis.
Innovation Solution
The use of real-time, visual, colorized, three-dimensional acoustic spectrum models generated from heart murmur audio data, combined with image recognition artificial intelligence models, for precise analysis and comparison of heart murmurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional auscultation methods are used for heart murmur detection, then the method is simple and affordable, but the detection accuracy and ability to track subclinical changes is insufficient
Solution Approach 1:
The patent replaces traditional mechanical auscultation methods with acoustic signal processing and digital visualization technology. Heart sounds are captured digitally and transformed into spectrograms that can be objectively analyzed, substituting the subjective mechanical listening process with automated digital analysis systems.
Solution Approach 2:
The patent introduces spectrograms as an intermediary representation between the raw heart sound signals and the diagnostic interpretation. These visual representations serve as a bridge that translates acoustic information into analyzable visual patterns, enabling more precise detection while maintaining relative simplicity through standardized visualization.
2Reliability
If real-time acoustic spectrum modeling is implemented, then subclinical detection and tracking capabilities are improved, but the cost and technical requirements increase
Solution Approach 1:
The patent creates a multi-functional system that can detect both clinical and subclinical heart murmurs using the same acoustic spectrum modeling technology. The system serves multiple diagnostic purposes including severity assessment, progression tracking, and comparative analysis, justifying the implementation complexity through broad applicability.
Solution Approach 2:
The patent performs preliminary acoustic spectrum modeling and visualization to establish baseline measurements before clinical interventions or progression occurs. By capturing and analyzing acoustic patterns in advance, the system enables early detection and tracking of subclinical changes, improving reliability through proactive monitoring.
3Manufacturing precision
If detailed acoustic mapping is provided for surgical guidance, then surgical precision and predictive capability are improved, but the processing time and computational requirements increase
Solution Approach 1:
The patent transforms one-dimensional audio signals into two-dimensional spectrograms with frequency and time dimensions, adding visual depth to the analysis. This dimensional transformation enables more precise surgical guidance by presenting acoustic information in a visually intuitive format that can be quickly interpreted during surgical procedures.
Solution Approach 2:
The patent creates visual copies of acoustic information in the form of spectrograms that can be rapidly generated and displayed. These visual representations serve as simplified copies of the complex acoustic data, enabling quick reference and decision-making during surgical procedures without requiring extensive computational processing at the moment of intervention.
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
Enables accurate, real-time detection and analysis of heart murmurs, including subclinical changes, with improved tracking and comparative capabilities, facilitating surgical guidance and predictive indicators.
Implementation Method 1
providing practitioners real-time, visual, colorized, three-dimensional acoustic spectrum models of auscultatory physical exam diagnostic information used for evaluation of heart murmurs
Data Source
AI summary
Heart murmur methods and analyzers are provided with real-time, colorized, three-dimensional, visual spectrograms of hearts and heart murmurs in clinical and/or surgical settings of animal and human patients.