Biosignal Amplifier Gating for Surgical Interference Rejection
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Solution Overview
Problem
Conventional intraoperative neurophysiologic monitoring systems struggle to effectively filter out high-frequency electrical interference from surgical tools, which distorts evoked potential signals, making them inaccurate and difficult to automate.
Innovation Solution
An amplifier system with dual signal paths is employed, one for the target biosignal and another for high-frequency interference, using a comparator to detect interference and suspend amplification or data acquisition when interference exceeds a user-defined threshold, ensuring clean signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional filtering techniques are used to reduce noise in evoked potential signals, then random noise is reduced, but high-frequency interference from surgical tools remains and distorts the signal
Solution Approach 1:
The signal processing system is divided into multiple independent filtering pathways: a first pathway processes the target biosignal with a first filter, while a second pathway processes potential interference with a second filter. This segmentation allows each filter to be optimized for its specific frequency range without affecting the other, enabling simultaneous reduction of both random noise and high-frequency interference.
Solution Approach 2:
A comparator acts as an intermediary element that receives signals from both filtering pathways and determines which signal represents the actual evoked potential. The comparator compares the processed signals and selects the appropriate one, effectively mediating between the conflicting filtering approaches and ensuring the most accurate signal is used for monitoring.
2Reliability
If manual monitoring of processed signals is used, then healthcare professionals can identify signal distortion, but the process is time-consuming and requires constant human intervention
Solution Approach 1:
The system incorporates automatic feedback mechanisms where the comparator continuously monitors signals from both pathways and automatically determines which signal is free from interference. This feedback loop eliminates the need for manual signal assessment, providing continuous automated monitoring that maintains high reliability while significantly reducing the time and human intervention required.
Solution Approach 2:
The dual-pathway filtering system with comparator enables the monitoring system to self-evaluate and self-correct by automatically identifying and selecting the cleanest signal pathway. This self-service capability allows the system to autonomously handle signal quality assessment and selection, freeing healthcare professionals from manual monitoring tasks while maintaining reliable detection of nerve function changes.
3Measurement precision
If signal averaging is used to reduce random noise, then the signal-to-noise ratio improves, but high-frequency interference contaminates the averaged signal
Solution Approach 1:
The system segments the signal processing into two parallel pathways: one that performs signal averaging to reduce random noise, and another that specifically targets and filters high-frequency interference. By maintaining these as separate, concurrent processes rather than sequential steps, the system achieves both noise reduction and interference rejection simultaneously, producing a clean averaged signal free from surgical tool contamination.
Data Source
AI summary
A system for recording, processing, and monitoring biosignals is provided, the system being configured to suspend data acquisition whenever an electric surgical tool or other generator of high frequency interference is in use. Such a system may protect the hardware of the system and reduce or eliminate the acquisition of distorted signals. The system of some embodiments includes an amplifier system configured to detect the presence of high frequency interference. Related methods are also disclosed.


