Programmable Sensing Block Sequencing for Neuromodulation Control
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Solution Overview
Problem
Existing neurostimulation systems face challenges in effectively controlling the spatial and temporal aspects of signal sensing and delivery, which are crucial for ensuring the efficacy and safety of therapies such as DBS, SCS, and PNS, due to the need for precise sensing at different locations and times with varying signal characteristics.
Innovation Solution
A neurostimulation system that employs a programmable sequence of sensing blocks, allowing for adjustable sensing parameters to control the spatial and temporal sensing of signals, using a combination of implantable and external sensors, and a control circuit to manage the delivery of neurostimulation based on processed signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed sensing configuration is used, then the device complexity is reduced, but the adaptability to different signal characteristics at different locations and times deteriorates
Solution Approach 1:
The sensing period is divided into multiple sensing blocks, each with independently programmable sensing parameters. This segmentation allows different spatial and temporal sensing configurations to be applied to different signal characteristics without requiring a completely different sensing system, thus improving adaptability while keeping individual block complexity manageable.
Solution Approach 2:
The sensing parameters are made dynamically adjustable through programmable sensing blocks that can be configured at different times during the sensing period. This dynamic capability enables the system to adapt to varying signal characteristics at different locations and times, resolving the contradiction between adaptability and fixed configuration complexity.
2Measurement precision
If multiple sensing blocks with different parameters are used, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The sensing period is segmented into multiple sensing blocks, each optimized for specific signal characteristics. This allows high measurement precision for different signal types without requiring a single overly complex sensing system, as each block can be independently configured and managed.
Solution Approach 2:
Each sensing block is configured with local sensing parameters optimized for specific signal characteristics at particular locations and times. This local optimization enables high measurement precision for diverse signals while keeping each individual sensing block relatively simple and manageable.
3Reliability
If sensing parameters are dynamically adjusted, then the reliability of therapy delivery is improved, but the ease of operation deteriorates
Solution Approach 1:
The sensing blocks are pre-programmed with specific sensing parameters before the sensing period begins. This preliminary configuration ensures reliable therapy delivery based on predetermined sensing strategies while simplifying operation, as the dynamic parameter adjustment is automatically executed according to the pre-established program without requiring real-time manual intervention.
Data Source
AI summary
An example of a system for delivering neurostimulation to a patient and controlling the delivery of neurostimulation using sensors may include a stimulation output circuit, a sensing circuit, and a control circuit. The stimulation output circuit may be configured to deliver the neurostimulation. The sensing circuit may be configured to receive sensed signals from the sensors and to process the sensed signals. The sensing circuit has adjustable settings controlling the processing of the sensed signals. The control circuit may be configured to control the delivery of the neurostimulation using the processed sensed signals and to control the settings of the sensing circuit according to a sequence of sensing blocks each including a set of sensing parameters.