Closed-Loop Neural Stimulation Using Local Field Potential Feedback
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Solution Overview
Problem
Traditional deep brain stimulation systems for treating functional disorders like Parkinson's disease rely on open-loop electrical stimulation, which cannot provide real-time precise modulation based on changing clinical symptoms or disease conditions, requiring frequent hospital visits for parameter adjustments by clinicians.
Innovation Solution
A closed-loop neural stimulation system that determines the energy value of a frequency band in local field potential signals, adjusts stimulation protocols accordingly, and outputs corresponding stimulation signals in real-time, eliminating the need for manual physician intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If open-loop electrical stimulation therapy is used with fixed continuous stimulation output, then the device complexity is reduced and ease of operation is improved, but the adaptability to changing clinical symptoms and disease conditions deteriorates
Solution Approach 1:
The patent implements closed-loop stimulation therapy by detecting local field potential signals from neural tissue and using this feedback to automatically adjust stimulation parameters. The stimulation device monitors neural activity in real-time and modulates stimulation output based on the detected signal characteristics, enabling adaptive response to changing disease conditions without manual intervention.
Solution Approach 2:
The patent transitions from static fixed stimulation parameters to dynamic adaptive parameters that change in real-time based on neural activity. The stimulation device continuously adjusts stimulation intensity, frequency, and duration according to the detected local field potential signals, allowing the system to adapt to evolving clinical conditions automatically.
2Reliability
If manual parameter adjustment by clinicians is required, then the manufacturing precision and reliability of treatment can be maintained through professional expertise, but the loss of time increases due to frequent hospital visits
Solution Approach 1:
The patent enables the stimulation device to self-adjust parameters based on automated detection of local field potential signals. The system performs self-monitoring and self-modulation of stimulation therapy, eliminating the need for frequent manual adjustments by clinicians while maintaining treatment reliability through algorithm-based decision making.
Solution Approach 2:
The closed-loop system continuously monitors neural activity and automatically adjusts stimulation parameters based on real-time feedback signals. This automated feedback mechanism maintains treatment reliability by continuously optimizing stimulation parameters according to patient condition changes without requiring manual intervention.
3Adaptability or versatility
If real-time monitoring and adjustment of stimulation parameters is implemented, then the adaptability to changing conditions is improved, but the device complexity and use of energy increase
Solution Approach 1:
The system uses feedback from local field potential signals to drive adaptive stimulation adjustments. By monitoring neural activity and adjusting stimulation parameters based on real-time signal characteristics, the system achieves adaptability while the energy consumption is managed through event-driven updates rather than continuous high-power processing.
Data Source
AI summary
Disclosed are a system for neural stimulation, a device for neural stimulation, and a computer-readable storage medium. The system includes a neural stimulator, the neural stimulator includes a stimulation module, configured to: determine, based on a received local field potential signal, a first energy value of a frequency band of interest in the local field potential signal; determine a threshold range in which the first energy value is; and output, according to a stimulation protocol corresponding to the threshold range, a corresponding stimulation signal. According to technical solution of the embodiments of this disclosure, a closed-loop neural stimulation mode can be achieved.