Neural State Assessment via Compound Action Potential Anomaly Detection
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Solution Overview
Problem
Diagnosing and monitoring neuropathic diseases, such as complex regional pain syndrome (CRPS), is challenging due to the lack of objective diagnostic methods and the difficulty in determining disease state or progress.
Innovation Solution
A non-transitory computer-readable medium that assesses a neural state by obtaining a recording of a compound action potential, processing it to determine anomalies such as extra peaks or lobe deformation, and outputting an indication of the neural state based on these anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If clinicians rely on subjective clinical observation to diagnose neuropathic disease, then diagnostic capability is maintained, but diagnostic objectivity and precision are poor
Solution Approach 1:
The patent replaces subjective clinical observation with automated electronic detection and analysis systems. Neural signals are captured through electrodes and processed by computers that objectively analyze waveform characteristics, replacing the mechanical/subjective process of clinical observation with an automated electronic measurement system that provides precise, quantifiable diagnostic data.
Solution Approach 2:
The patent introduces an intermediary computational analysis system between the neural signal source and the diagnostic conclusion. This intermediary processes raw neural waveforms, identifies characteristic patterns, and translates them into objective diagnostic information, bridging the gap between physical neural signals and clinical diagnostic decisions.
2Reliability
If no single pathognomonic symptom or sign is used for diagnosis, then diagnostic broadness is maintained, but diagnostic reliability is poor
Solution Approach 1:
The patent segments the diagnostic process into multiple measurable waveform characteristics (amplitude, duration, morphology, peak patterns) rather than relying on a single pathognomonic sign. By dividing the diagnostic assessment into multiple independent parameters that can be objectively measured and analyzed, the system achieves reliable diagnosis through cumulative evidence from multiple waveform features.
Solution Approach 2:
The patent creates a universal diagnostic system that can assess multiple neuropathic conditions through a single platform. The waveform analysis methodology applies across different neural pathways and disease types, providing a versatile diagnostic tool that maintains reliability across various clinical scenarios while adapting to different diagnostic needs.
3Measurement precision
If subjective clinical observation is used to monitor disease progress, then monitoring capability is maintained, but monitoring objectivity and accuracy are poor
Solution Approach 1:
The patent implements a feedback-based monitoring system where neural waveform characteristics are continuously measured and compared against baseline or threshold values. The system provides objective feedback on disease state changes, treatment response, and progression, enabling precise monitoring that quantifies subtle changes invisible to subjective clinical observation.
Solution Approach 2:
The patent replaces subjective clinical monitoring with automated electronic waveform analysis. The system continuously captures neural signals, processes them through standardized algorithms, and generates objective measurements of disease state, eliminating the imprecision of manual clinical assessment and providing accurate, quantifiable monitoring data.
4Productivity
If standard pain treatments are used for neuropathic pain, then treatment accessibility is maintained, but treatment efficacy is poor
Solution Approach 1:
The patent applies preliminary diagnostic action by objectively characterizing the neuropathic condition through waveform analysis before initiating or adjusting treatment. This preliminary assessment provides precise information about disease state and neural pathway involvement, enabling tailored treatment selection that improves efficacy while maintaining accessibility through a systematic evaluation process.
Data Source
Figure 1a~1b
Figure 1c~2a
Figure 2b~2c
AI summary
The neural health or state of a subject is assessed. A recording is obtained of a compound action potential arising in neural tissue of the subject. The recording is processed to determine whether a profile of the recorded compound action potential is anomalous, such as by exhibiting doublets, peak broadening or deformation, or other anomaly. An indication is output regarding the neural state of the subject based on determined anomalies in the recorded compound action potential.