EEG Signal Interference Removal via Amplitude Thresholding
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Solution Overview
Problem
Current methods for removing high-frequency radio frequency interference in patient monitoring systems during surgery are inefficient, often requiring complex frequency-domain analysis that consumes significant resources and time, leading to interrupted or inaccurate monitoring.
Innovation Solution
An apparatus and method that utilize a filtering unit, high-frequency signal extraction unit, marking unit, and processor to detect and classify high-frequency interference in electroencephalogram signals by comparing amplitudes with a threshold value, allowing selective sampling and processing to remove interference effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequency-domain analysis (Fourier transform) is used to detect and remove high-frequency interference, then the interference removal effectiveness is improved, but the calculation complexity and resource occupation increase significantly
Solution Approach 1:
The patent extracts only the essential high-frequency interference detection function from complex frequency-domain analysis. By using a simple amplitude comparison with a predetermined threshold, it isolates the critical detection task without requiring full Fourier transform computation, thus reducing calculation complexity while maintaining interference detection effectiveness.
Solution Approach 2:
The patent changes the detection parameter from complex frequency-domain features (requiring Fourier transform) to a simple amplitude parameter that can be directly compared with a threshold. This parameter transformation eliminates the need for complex mathematical computations while preserving the ability to detect high-frequency interference.
2Measurement precision
If frequency-domain analysis with Fourier transform is used to remove high-frequency interference, then the interference detection accuracy is improved, but the time consumption increases
Solution Approach 1:
The patent performs preliminary action by setting a predetermined threshold value before the actual detection process. This threshold is established in advance based on expected interference characteristics, allowing real-time amplitude comparisons to be made quickly without requiring complex real-time Fourier transform computations, thus reducing time consumption while maintaining detection accuracy.
3Measurement precision
If complex filtering and frequency-domain analysis methods are used to remove high-frequency interference, then the monitoring accuracy is improved, but the system resource occupation increases
Solution Approach 1:
The patent replaces expensive, computationally intensive frequency-domain analysis with a simple, low-cost amplitude threshold comparison method. This approach uses minimal computational resources (comparing an amplitude value against a predetermined threshold) to achieve the same interference detection goal, significantly reducing system resource occupation while maintaining monitoring accuracy.
Data Source
AI summary
An apparatus and method for removing high-frequency radio frequency interference are disclosed. The apparatus includes a filtering unit for filtering an original electroencephalogram signal to obtain an intermediate electroencephalogram signal; a high-frequency signal extraction unit for filtering the intermediate electroencephalogram signal to extract a high-frequency signal from the intermediate electroencephalogram signal; a marking unit for comparing the amplitude of the high-frequency signal with a comparison threshold value, and performing classification marking on the intermediate electroencephalogram signal according to a comparison result; a collection unit for sampling the intermediate electroencephalogram signal that has been performed with the classification marking to obtain a desired electroencephalogram signal and inputting the desired electroencephalogram signal into a processor; and the processor for setting the comparison threshold value and controlling the collection unit to perform sampling.