Electrode Selection Device for Capsule Endoscope Signal Stability
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Solution Overview
Problem
Capsule endoscopes moving within the digestive tract require real-time selection of optimal electrode pairs for stable and accurate data transmission, as existing technologies face challenges with signal distortion and interference due to changing positions and orientations relative to the electrodes.
Innovation Solution
An electrode selection device that includes an analog front end to recover data from multiple electrodes and a digital receiver to calculate correlation values and sums, selecting the optimal electrode pair based on these calculations to ensure reliable communication with the capsule endoscope.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple electrodes are used for data reception, then the ability to receive data from capsule endoscope improves, but signal distortion and interference increase due to changing positions and orientations
Solution Approach 1:
The system dynamically selects optimal electrode pairs based on real-time correlation values calculated from received signals. As the capsule endoscope moves through the digestive tract, the system continuously monitors signal quality and switches between different electrode pairs to maintain stable data reception while minimizing signal distortion and interference.
Solution Approach 2:
The system changes the operational parameters by switching between different electrode pairs based on calculated correlation values. By monitoring signal characteristics and selecting electrode pairs with higher correlation values, the system adapts to changing positions and orientations of the capsule endoscope, thereby reducing signal distortion while maintaining reception reliability.
2Measurement precision
If electrode pairs are selected based on real-time correlation values, then data transmission accuracy improves, but device complexity increases
Solution Approach 1:
The system performs self-selection of optimal electrode pairs by automatically calculating correlation values and determining the best electrode combinations without external intervention. This self-service mechanism improves data transmission accuracy while the automation reduces the operational complexity compared to manual electrode selection methods.
Solution Approach 2:
The system uses feedback from received signals to calculate correlation values and determine optimal electrode pairs. By continuously monitoring signal quality and using this feedback to adjust electrode selection, the system achieves high data transmission accuracy. The automated feedback loop simplifies the overall system operation compared to manual adjustment methods.
3Reliability
If correlation values are calculated for all electrode pairs, then optimal electrode selection improves, but processing time increases
Solution Approach 1:
The system calculates correlation values for all possible electrode pairs to ensure comprehensive evaluation and accurate selection of optimal electrodes. While this exhaustive approach increases processing time, it guarantees the highest selection accuracy. The system manages this trade-off by performing calculations efficiently and only when necessary, balancing processing time with selection reliability.
Data Source
AI summary
Provided is and electrode selection device communicating with a capsule endoscope. The device includes an analog front end configured to recover first data based on first signals transmitted from the capsule endoscope to a first electrode and a second electrode, recover second data based on second signals transmitted from the capsule endoscope to the first electrode and a third electrode, and recover third data based on third signals transmitted from the capsule endoscope to the second electrode and the third electrode, and a digital receiver configured to calculate a first correlation value between the first and second electrodes, a second correlation value between the first and third electrodes, and a third correlation value between the second and third electrodes based on the first to third data. The digital receiver calculates first to third correlation sums, and selects a receiving electrode pair based on the first to third correlation sums.