Neurostimulation Signal Error Correction via Intermediary Data Layer
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Solution Overview
Problem
Neurostimulation systems face challenges in delivering accurate therapy due to data errors such as incorrect or missing data, which can lead to suboptimal decision-making and patient dissatisfaction.
Innovation Solution
The system includes a method of operating a neurostimulation device that involves delivering neurostimulation, recording electrical signals, detecting and correcting errors in the recorded signals, and adjusting the neurostimulation therapy using the corrected signals. This involves using signal processing circuitry to detect incorrect data, apply signal smoothing algorithms, detect missing data, and perform data interpolation using algorithms like EM, MLE, or Kalman smoothing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data correction algorithms are applied to recorded electrical signals, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary data correction algorithm layer between the signal recording and therapy decision-making processes. This intermediary component processes raw recorded electrical signals by detecting and correcting errors (such as dropped ADC codes) before the signals are used for adaptive neurostimulation decisions, thereby improving measurement precision without requiring complete redesign of the entire system
Solution Approach 2:
The patent replaces complex hardware-based error correction mechanisms with software-based data correction algorithms. Instead of using additional physical sensors or hardware components to ensure data accuracy, the system uses computational methods (such as interpolation algorithms and error detection software) to correct issues in the recorded electrical signals, reducing device complexity while maintaining or improving measurement precision
2Reliability
If adaptive neurostimulation algorithms are used, then therapy effectiveness is improved, but reliability deteriorates due to data errors
Solution Approach 1:
The patent applies preliminary data correction actions to the recorded electrical signals before they are fed into adaptive neurostimulation algorithms. By detecting and correcting errors (such as replacing dropped ADC codes with interpolated values) in advance, the system ensures that the adaptive algorithms receive high-fidelity data, thereby maintaining reliability while enabling sophisticated therapy optimization
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors the quality of recorded electrical signals and applies corrective actions based on detected errors. The corrected signals are then used to make adaptive therapy decisions, and the process repeats, creating a closed-loop system that maintains data fidelity and ensures reliable decision-making through continuous error detection and correction
Data Source
AI summary
This document discusses a computer-implemented method of operating a neurostimulation device to deliver electrical neurostimulation when connected to an implantable stimulation lead. The method includes delivering neurostimulation to a subject using a neurostimulation device of the neurostimulation system when the neurostimulation device is connected to an implantable stimulation lead; recording electrical signals sensed using the implantable stimulation lead; detecting and correcting errors in a recorded electrical signal to produce a corrected recorded electrical signal; and adjusting a device-based neurostimulation therapy provided to the subject using the corrected recorded electrical signal.