Small Multielectrode Arrays for High-Resolution Neuronal Speech Decoding
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Solution Overview
Problem
Existing methods for decoding speech from neuronal activity, particularly in individuals with speech impairments, face challenges due to low spatial resolution and high invasiveness of electrode grids, leading to noisy and less specific signal capture, which can frustrate users with high error rates and slow transmission.
Innovation Solution
The use of small, multielectrode arrays implanted in specific brain regions, combined with voltage threshold filtering and wireless data telemetry, allows for high spatial resolution and efficient data processing, enabling accurate decoding of intended speech through neuronal signal recorders and decoders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If electrode grids are used to decode speech from neuronal activity, then coverage area is increased, but spatial resolution deteriorates and signal quality becomes noisier
Solution Approach 1:
The patent divides the brain surface into multiple regions, each equipped with its own multielectrode array. This segmentation allows each array to provide high spatial resolution for its local region while collectively covering a broad area through multiple arrays positioned at different locations.
Solution Approach 2:
The patent transitions from a two-dimensional surface montage to a three-dimensional configuration by implanting multielectrode arrays at different depths and locations within the brain. This dimensional change enables simultaneous achievement of high spatial resolution and extensive coverage through volumetric sampling.
2Reliability
If invasive electrode implants are used to capture neuronal signals, then signal acquisition capability is improved, but invasiveness and user comfort deteriorate
Solution Approach 1:
The patent changes the physical parameters of the electrode arrays, using smaller arrays with fewer electrodes implanted at specific strategic locations rather than large comprehensive grids. This parameter change reduces the invasive burden while maintaining sufficient signal acquisition capability through optimized electrode placement.
3Measurement precision
If comprehensive electrode grids are implanted, then decoding accuracy is improved, but transmission speed and system efficiency deteriorate
Solution Approach 1:
The patent extracts and transmits only the most critical neuronal signal features and decoded speech information rather than transmitting all raw signal data from comprehensive electrode grids. This extraction approach maintains decoding accuracy while significantly improving transmission efficiency and speed.
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
This approach provides high-fidelity speech decoding with reduced invasiveness, enabling efficient communication for speech-impaired individuals by integrating with brain-computer interface systems without additional implants, and supporting wireless data transmission.
Implementation Method 1
a multielectrode array, controller circuitry, and a communication circuitry capable of transmitting data to a neuronal signal decoder
Implementation Method 2
the controller circuitry includes a voltage threshold filtering circuitry, and the voltage threshold filtering circuitry is configured to produce a binary value indicating the presence or absence of an action potential
Data Source
AI summary
Systems and methods for decoding indented speech from neuronal activity in accordance with embodiments of the invention are illustrated. One embodiment includes a neuronal speech system for decoding intended speech from neuronal signals includes a neuronal signal recorder implanted into a user's brain, including a multielectrode array, controller circuitry, and a communication circuitry capable of transmitting data to a neuronal signal decoder, the neuronal signal decoder located externally from the user's body, including a processor, an input/output interface, and a memory, where the memory contains a neuronal speech application that directs the processor to obtain neuronal signal data from the neuronal signal recorder, where the neuronal signal data describes neuronal activity proximal to the implanted neuronal signal recorder, decode speech features from the neuronal signal data using a neuronal decoding model, construct a speech string from the decoded speech features; and output the constructed speech string via an output device.


