Adaptive Deep Brain Stimulation With Wireless Neural Signal Feedback

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Solution Overview

Problem

Conventional deep brain stimulation systems are limited by power capacity, data processing, and communication interface capabilities, hindering adaptive and patient-specific calibration due to varying neural activity patterns among patients.

Innovation Solution

An implantable device that acquires and stores neural activity signal records, connected via wireless communication to a personal controller and clinician programmer device, allowing real-time adjustment of stimulation parameters based on neural activity analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If the implantable device is made compact for safety and patient comfort, then safety and comfort are improved, but power capacity, data processing, data storage, and communication interface capabilities deteriorate

Engineering Contradiction:

ImprovesafetyVSAvoidpower capacity

Core Design Contradiction:

Object-affected harmful factorsVSPower

Solution Approach 1:

The system is divided into multiple components: an implantable device for neural signal detection and a separate external device for data processing and storage. This segmentation allows the implantable device to remain compact and safe while the external device provides the necessary computational power and storage capacity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A wireless communication interface acts as an intermediary between the implantable device and the external device. This intermediary enables data transfer and power transmission without requiring the implantable device to contain all processing capabilities, thus maintaining its compact form factor while accessing external resources.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If the implantable device is made compact for patient comfort, then comfort is improved, but data processing and data storage capabilities deteriorate

Engineering Contradiction:

Improvepatient comfortVSAvoiddata storage capability

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

Data processing and storage functions are extracted from the implantable device and placed in the external device. This extraction allows the implantable device to remain small and comfortable for the patient while the external device handles the data-intensive operations.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The implantable device copies only the essential neural signal data to the external device for storage and analysis. This copying approach minimizes the data storage requirements in the implantable device while maintaining comprehensive data availability in the external system.

Inventive Principle:

Principle #26Copying

3Device complexity

If conventional deep brain stimulation uses predefined stimulation settings, then device complexity is reduced, but adaptability to patient-specific neural activity patterns deteriorates

Engineering Contradiction:

Improvedevice complexityVSAvoidadaptability

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system implements feedback by continuously detecting neural activity signals and using this information to adjust stimulation parameters. The external device analyzes the detected neural patterns and modifies stimulation settings in real-time, creating a closed-loop adaptive system that responds to patient-specific neural activity.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The stimulation parameters are made dynamic rather than static. The system continuously adapts stimulation settings based on real-time neural activity detection and analysis, allowing the treatment to evolve and respond to changing neural patterns throughout the day.

Inventive Principle:

Principle #15Dynamics

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables adaptive deep brain stimulation with improved clinical outcomes by optimizing stimulation parameters in real-time, enhancing treatment efficacy and patient-specific customization.

Implementation Method 1

the power may be inductive power induced to the implantable device

Methodology Applied

Scientific EffectInductive power induction: Electromagnetic Induction

Data Source

PatentUS20250249259A1Systems and methods for adaptive deep brain stimulation

Publication Date: 2025.08.07 NEWRONIKA

AI summary

In some variations provided herein, a system for, e.g., deep brain stimulation, includes an implantable device that acquire and store neural activity signal records and apply electrical stimulation. The system further includes a personal controller device that establishes a first wireless connection to the implantable device. The personal controller device transmits power to the implantable device, and the implantable device transmits neural activity signal records to the personal controller device over the first wireless connection. The system further includes a user compute device configured to receive patient log data, receive the neural activity signal records from the implantable device by establishing a second wireless connection based on activation of the first wireless connection, associate the patient log data and the neural activity signal records, generate a plurality of stimulation parameters based on the association between the patient log data and the neural activity signal records, and transmit the plurality of stimulation parameters to the implantable controller device.