Evoked Neural Response Interpolation for Corrupted DBS Signals
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Solution Overview
Problem
Existing deep brain stimulation (DBS) systems face challenges in optimizing lead placement and stimulation parameters due to non-selective activation of neural elements, leading to potential cognitive impairment and fluctuating therapeutic effects, particularly in conditions like Parkinson's disease, where brain dynamics and medication states impact treatment efficacy.
Innovation Solution
A method and system for monitoring neural activity using electrode leads with multiple electrodes, recording signals, determining corrupted signals, and interpolating waveform features using uncorrupted signals to adjust stimulation parameters and lead placement, incorporating models like Gaussian or spline functions to enhance precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electrical field is applied to stimulate neural elements, then therapeutic benefit is achieved, but non-selective activation of surrounding neural elements occurs causing cognitive impairment
Solution Approach 1:
The patent applies local quality by using multiple independently controllable electrodes to create localized stimulation fields. Each electrode can be individually adjusted to stimulate specific neural elements while avoiding adjacent areas, enabling selective activation of target tissue without affecting surrounding cognitive pathways.
Solution Approach 2:
The patent segments the stimulation field into multiple discrete electrode contacts that can be independently controlled. This segmentation allows the electrical field to be divided into distinct zones, each targeting specific neural elements, thereby achieving selective stimulation and avoiding non-selective activation of surrounding tissue.
2Reliability
If stimulation amplitude is increased to improve treatment efficacy, then therapeutic benefit increases, but energy consumption increases and side effects worsen
Solution Approach 1:
The patent enables localized high-amplitude stimulation at specific electrode contacts while maintaining low amplitude at others. This allows concentrated therapeutic effect at the target site without requiring overall high energy consumption across all electrodes, thus improving efficacy while controlling energy use.
Solution Approach 2:
The patent applies partial action by activating only the specific electrodes and parameters needed for therapeutic effect rather than applying uniform stimulation across all electrodes. This selective partial activation achieves treatment efficacy while minimizing unnecessary energy consumption.
3Measurement precision
If stimulation parameters are adjusted to target specific neural elements, then selectivity improves, but device complexity increases
Solution Approach 1:
The patent achieves stimulation selectivity through local quality control at each electrode contact, allowing independent adjustment of amplitude and other parameters. This enables precise targeting of specific neural elements while the modular electrode design keeps the overall system manageable.
Solution Approach 2:
The patent employs dynamic parameter adjustment capabilities that allow real-time optimization of stimulation selectivity. The system can dynamically modify electrode configurations and parameters based on observed neural responses, achieving high selectivity through adaptive control rather than fixed complex settings.
4Measurement precision
If multiple electrodes are used to improve lead placement accuracy, then measurement precision improves, but signal corruption increases
Solution Approach 1:
The patent uses multiple electrodes to measure neural responses at different locations with high precision. By analyzing the local quality of signals from each electrode individually, the system can identify and compensate for corrupted signals while maintaining overall measurement accuracy for lead placement determination.
Data Source
AI summary
Methods and systems for using evoked neural response to inform aspects of deep brain stimulation therapy are disclosed. According to some embodiments, a series of evoked neural response signals are recorded, and one or more waveform features are extracted from each of the signals. The waveform features can be used as biomarkers and or control signals for informing aspects of the therapy, such as lead implantation/localization, optimization of stimulation parameters, and/or closed loop feedback for maintaining chronic therapy. Embodiments include a check to determine and classify if any of the recorded neural response signals or portions thereof are corrupted. In the event that any of the signals are corrupted, values for the waveform features for the corrupted signals are interpolated using uncorrupted neural response signals in the series and/or uncorrupted portions of the problem neural response signal.