Source Excitation Wave Detection in Biological Tissue Imaging
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Solution Overview
Problem
Existing information processing systems are unable to detect the occurrence positions of source excitation waves in biological tissues, which is a limitation in analyzing abnormal excitation patterns.
Innovation Solution
An information processing system comprising an acquisition unit, a derivation unit, a detection unit, and a generation unit, which acquires a first image sequence representing membrane potential changes in a biological tissue, derives a second image sequence using a circular variable and specific derivation equations, detects the occurrence position of source excitation waves based on the derived image sequence, and generates position information on the detected occurrence position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If phase variance value is used to detect rotation centers, then rotating excitation waves can be analyzed, but source excitation waves cannot be detected
Solution Approach 1:
The patent changes the detection parameter from phase variance value to divergence of phase gradient. This parameter transformation enables the system to detect source excitation waves while maintaining the ability to detect rotating excitation waves, thus resolving the limitation of the previous method
Solution Approach 2:
Instead of using phase variance value as the detection basis, the patent inverts the approach by using the divergence of phase gradient. This inversion allows the detection method to work for both rotating and source excitation waves, expanding the detection capability
2Reliability
If conventional detection methods are used, then rotating excitation waves can be identified, but false positives occur for source excitation waves
Solution Approach 1:
By changing the detection parameter from phase variance value to divergence of phase gradient, the system achieves both high reliability and precision. The new parameter correctly identifies source excitation wave positions without producing false positives, simultaneously improving both detection reliability and measurement precision
Data Source
AI summary
An information processing system is provided. This information processing system is equipped with an acquisition unit, a derivation unit, a detection unit and a generation unit. The acquisition unit acquires a first image sequence which expresses a change in membrane potential in biological tissue. The derivation unit derives a second image sequence which expresses a change in membrane potential by using a circulation variable on the basis of the first image sequence and a first derivation formula. The detection unit detects the position in the biological tissue at which the focal excitation wave is produced on the basis of the second image sequence and a first detection formula. The generation unit generates position information pertaining to the production position.


