Implantable Stimulation Circuitry for Stable Tissue Common-Mode Voltage
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Solution Overview
Problem
Existing implantable neurostimulator devices lack effective mechanisms for sensing neural responses to stimulation, which is crucial for optimizing therapeutic outcomes.
Innovation Solution
Incorporation of neural response detection circuitry within the implantable stimulator device, utilizing a microcontroller and neural response algorithm to measure and analyze neural responses, allowing for adaptive adjustment of stimulation parameters based on sensed neural activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If neural response detection circuitry is incorporated into the implantable stimulator device, then the ability to sense and adapt to neural responses is improved, but the device complexity increases
Solution Approach 1:
The patent combines the neural response detection circuitry with the existing stimulation circuitry of the implantable stimulator device. The detection circuitry shares the same electrode infrastructure and signal processing pathways, merging sensing and stimulation functions into a unified system rather than adding completely separate detection components.
Solution Approach 2:
The electrode array serves multiple functions: it both delivers stimulation current and detects neural responses. The same hardware infrastructure (electrodes, amplifiers, analog-to-digital converters) is utilized for both stimulation and sensing operations, making the device multi-functional without requiring duplicate components.
2Reliability
If real-time adjustment of stimulation parameters is enabled based on neural responses, then therapeutic efficacy is improved, but the processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary processing of neural response signals by filtering and feature extraction in the time domain before making adjustment decisions. Pre-defined thresholds and response patterns are established beforehand, allowing rapid comparison and decision-making without complex real-time calculations.
Solution Approach 2:
The system implements closed-loop feedback where neural responses are continuously monitored, processed, and used to adjust stimulation parameters in real-time. The feedback mechanism enables adaptive stimulation that responds dynamically to changing neural conditions, improving therapeutic efficacy through continuous optimization.
Data Source
AI summary
Stimulator circuitry useable in a stimulator device is disclosed. The circuitry includes biasing circuitry that can be used to generate a voltage to allow any one or more electrode on the device (including the case electrode and lead-based electrodes) to provide a common mode voltage (Vcm) to the tissue. Providing a stable Vcm to the tissue is particularly useful when sensing neural responses to the stimulation that the device provides. Switches are provided to couple each of the electrode nodes to one or more buses. This allows any of the electrodes to be selected to provide bipolar or monopolar stimulation, or to act to provide Vcm to the tissue during relevant pulses phases, including during passive charge recovery.