Frequency Dithering for Neural Signal Artifact Removal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In existing methods for removing stimulus artifacts using a time domain average method, bio signals with the same frequency as the stimulus frequency are inadvertently removed, leading to difficulties in accurately measuring neural signals during electric stimulation.
Innovation Solution
A method involving a computer device that adjusts the stimulus frequency within a dithering range, using a processor to set and control the stimulus frequency, thereby avoiding frequency attenuation and maintaining the effectiveness of the stimulus while removing artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed stimulus frequency is used to obtain a repeated stimulus artifact signal for real-time artifact removal, then artifact removal efficiency is improved, but bio signals with the same frequency as the stimulus frequency are inadvertently removed
Solution Approach 1:
The stimulus frequency is changed dynamically within a dithering range rather than remaining fixed. This dynamic adjustment prevents the stimulus frequency from consistently overlapping with bio signal frequencies, thereby avoiding the removal of genuine bio signals while maintaining effective artifact removal through time-domain averaging.
Solution Approach 2:
The stimulus frequency parameter is varied within a predetermined dithering range to resolve the contradiction. By changing this parameter, the system avoids fixed frequency interference with bio signals while maintaining the ability to remove artifacts effectively through repeated stimulation at slightly varying frequencies.
2Measurement precision
If the stimulus frequency is changed within a dithering range to preserve bio signals, then bio signal measurement accuracy is improved, but the consistency of stimulus artifact signal may be reduced
Solution Approach 1:
The stimulus is applied periodically with a frequency that varies within a dithering range. This periodic yet variable approach allows the system to maintain consistent artifact removal capability through repeated stimulation while preserving bio signals by avoiding fixed frequency overlap. The time-domain averaging process effectively handles the periodic variations.
Data Source
AI summary
The present disclosure relates to a technology for attenuating an average value of signals in a frequency dithering time domain, which may be used in a method of removing stimulus artifacts in real time. A dithering range of a stimulus frequency for generating a stimulus can be set, and the stimulus frequency can be controlled to be changed within the dithering range.