Spatial Bioelectrical Signal Visualization for Deep Brain Stimulation
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Solution Overview
Problem
Current medical device programming and data presentation systems face challenges in efficiently collecting, processing, and displaying data from multiple electrode combinations, making it difficult for clinicians to effectively diagnose and treat patients, especially in complex procedures like deep brain stimulation where numerous electrode combinations and signal components need to be evaluated.
Innovation Solution
A system that senses bioelectrical signals using a lead with multiple electrodes, generates signal data sets, and graphically represents these data sets on a display in spatial association with the electrodes, allowing for simultaneous comparison and visualization of different electrode combinations and signal components, including biomarkers like beta band power content, to facilitate optimal electrode selection and therapy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data from multiple electrode combinations are collected and processed, then the quantity of signal data sets increases, but the device complexity and difficulty of data presentation increase
Solution Approach 1:
The patent segments the complex data from multiple electrode combinations into individual signal data sets, each associated with a specific electrode combination. The display is segmented to show each data set separately with its own trace and indicators, allowing clinicians to analyze each combination independently while maintaining an organized overall view.
Solution Approach 2:
The patent adds visual dimensions to the data presentation by displaying traces in the time domain and using color-coded indicators to represent frequency domain characteristics (beta band power content). This multi-dimensional visualization approach allows complex multi-channel data to be presented in an intuitive two-dimensional display without increasing system complexity.
2Loss of information
If multiple signal data sets are displayed simultaneously, then the information completeness improves, but the ease of operation and interpretation decreases
Solution Approach 1:
The patent applies local quality by providing unique visual characteristics for each signal data set through color-coded indicators that represent beta band power content. Each trace and its associated indicators have distinct visual properties, allowing clinicians to quickly distinguish between different electrode combinations and their characteristic signals without information overload.
Solution Approach 2:
The patent uses color changes in the indicators to represent different levels of beta band power content for each electrode combination. This visual encoding allows clinicians to rapidly interpret complex multi-channel data by simply observing color variations, significantly improving ease of operation and data interpretation while maintaining complete information display.
3Measurement precision
If detailed analysis of each electrode combination is enabled, then the measurement precision improves, but the time required for analysis increases
Solution Approach 1:
The patent performs preliminary action by automatically computing and displaying key signal characteristics (traces and beta band power indicators) for all electrode combinations simultaneously. This pre-processing and simultaneous display of critical parameters eliminates the need for sequential analysis, allowing clinicians to make precise comparisons across all electrode combinations without time-consuming step-by-step evaluation.
Data Source
AI summary
Various embodiments concern sensing bioelectrical signals using electrodes along a lead, the electrodes having a spatial configuration along the lead, generating signal data sets, one signal data set being generated for each bioelectrical signal, and graphically representing the electrodes and data representations of the signal data sets on a display. In various embodiments, each data representation indicates a parameter of a respective one of the data sets, the electrodes are graphically represented on the display in a spatial configuration representative of the spatial configuration of the electrodes along the lead, and each data representation is graphically represented on the display in spatial association with at least one electrode through which the bioelectrical signal on which the signal data set is based was sensed. The parameter can be indicative of the relative presence of a biomarker in the bioelectrical signals.