Cortical Sensory Feedback via Multi-Parameter Electrical Stimulation
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Solution Overview
Problem
Current brain-computer interfaces (BCIs) face challenges in delivering high-bandwidth, short-latency sensory feedback, particularly for users with spinal cord injuries or strokes, as conventional technologies rely on fixed frequency encoding with poor temporal resolution and exclude natural sensory input.
Innovation Solution
A system that uses an implant with electrodes to deliver electrical stimuli to the brain, spinal cord, or peripheral nerves, encoding information through combinations of parameters such as pulse-width, amplitude, frequency, number of pulses, and train interval to evoke neural signals, allowing for high-resolution sensory feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional fixed frequency encoding is used, then device simplicity is maintained, but temporal resolution and information bandwidth are poor
Solution Approach 1:
The patent applies parameter changes by modulating multiple stimulation parameters including frequency, amplitude, pulse width, and phase to encode tactile information. This allows the system to convey rich sensory feedback through variations in electrical stimulation parameters, achieving high temporal resolution without requiring complex hardware modifications.
Solution Approach 2:
The system implements dynamics by using real-time, closed-loop feedback that dynamically adjusts stimulation parameters based on sensed tactile information. The bidirectional communication enables the system to adapt stimulation frequency, amplitude, and pattern dynamically, improving temporal resolution and information bandwidth compared to static fixed-frequency approaches.
2Loss of information
If multi-parameter encoding is implemented, then information bandwidth increases, but signal complexity and discrimination difficulty increase
Solution Approach 1:
The patent employs periodic action through structured pulse trains with specific frequencies and duty cycles to encode different tactile dimensions. By organizing stimulation into periodic patterns, the system maintains signal structure that facilitates discrimination while conveying rich information, resolving the contradiction between information bandwidth and signal discrimination difficulty.
3Measurement precision
If closed-loop feedback is added, then control precision improves, but system complexity and latency increase
Solution Approach 1:
The patent implements feedback by capturing tactile sensations through sensors and using this information to modulate subsequent electrical stimulation parameters in real-time. This closed-loop approach enables bidirectional communication between the tactile device and user, improving control precision while maintaining responsive feedback through efficient signal processing.
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
The system enables high-resolution sensory feedback by modulating signal parameters like amplitude and pulse-width, improving discriminability and sensitivity, thereby enhancing the ability of users to control devices with greater precision.
Implementation Method 1
an implant electrically coupled to a brain, a spinal cord or peripheral nerves of the user through implant electrodes, where the implant is configured to deliver electrical stimulus through the implant electrodes
Data Source
AI summary
Systems and methods for delivering sensory feedback to the cortex via electrical stimulation are disclosed herein. In one embodiment, the system includes: an implant electrically coupled to a brain, a spinal cord or peripheral nerves of the user through implant electrodes. The implant is configured to deliver electrical stimulus through the implant electrodes. The system also includes a computing device that performs actions including: delivering the electrical stimulus via the implant electrodes; and generating neural signals that are evoked by the electrical stimulus. The neural signals correspond to information transferred to the brain, spinal cord or peripheral nerves through the implant electrodes. The electrical stimulus is encoded as a combination of at least two parameters selected from a group of parameters consisting of a frequency, a pulse-width, an amplitude, a number of pulses in a train, and a train interval.