Real-Time Stimulation Artifact Removal Using Template Subtraction
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Solution Overview
Problem
Existing closed-loop stimulation methods face challenges in real-time biosignal acquisition due to contamination by stimulation artifacts and significant time delays in processing, leading to data loss and degraded performance in medical applications.
Innovation Solution
A computer device with a stimulation artifact template generation module and removal module, connected directly to a recording device, generates and applies a stimulation artifact template for real-time artifact removal, using an infinite impulse response filter and variable adjustment to improve accuracy and reduce template generation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If data deletion method is used to remove stimulation artifact, then stimulation artifact is removed, but biosignal information is lost during stimulation section
Solution Approach 1:
The patent extracts only the harmful stimulation artifact component from the recorded signal using template subtraction, while preserving the useful biosignal. The template is generated by averaging artifact-only segments, then subtracted from the contaminated signal to remove only the artifact portion.
Solution Approach 2:
The patent performs preliminary action by generating a stimulation artifact template in advance through averaging multiple artifact segments. This pre-generated template is then used for rapid subtraction from subsequent contaminated signals, enabling real-time artifact removal without losing biosignal information.
2Object-affected harmful factors
If ICA algorithm is used on external high-performance device, then stimulation artifact is removed, but significant time delay occurs due to communication process
Solution Approach 1:
The patent implements self-service by enabling the recording device itself to perform artifact removal operations using its own processing capabilities. The template generation and subtraction are executed locally on the recording device, eliminating the need for external high-performance devices and communication processes, thus achieving real-time processing.
Solution Approach 2:
The patent uses a simple template subtraction method that requires minimal computational resources compared to complex ICA algorithms. This lightweight approach can be executed on low-cost, low-performance devices with limited processing power, memory, and battery capacity, making it suitable for portable wearable devices.
3Reliability
If stimulation is repeated several times for short period, then medical effect is enhanced, but biosignal data is lost due to residual artifact
Solution Approach 1:
The patent ensures continuity of useful action by continuously generating updated artifact templates and performing subtraction operations without interruption during repeated stimulation protocols. This allows seamless processing of multiple stimulation cycles, preserving biosignal data throughout the entire stimulation sequence without gaps or data loss.
4Productivity
If template-based method is used, then processing speed is improved, but accuracy and template generation time are degraded
Solution Approach 1:
The patent implements dynamics by making the template adaptive and updateable. The template can be continuously refined and updated as new artifact segments are processed, allowing the system to adapt to changes in stimulation characteristics over time. This dynamic approach maintains high accuracy while preserving real-time processing capabilities.
Data Source
AI summary
Provided are a computer device for fast stimulation artifact template-based real-time stimulation artifact removal and a method thereof. The computer device may be connected to a recording device in which data representing effect of stimulation on a living body is recorded and may be configured to generate a stimulation artifact template for the stimulation based on the recorded data, and to remove a stimulation artifact according to the stimulation from the recorded data using the stimulation artifact template.