A brain-computer interface that decodes intended speech from neural signals to enable communication for individuals who are unable to speak.
Restores communication for individuals with paralysis, ALS, and other conditions that impair speech abilities.
Electrode arrays placed over the speech-motor cortex record neural activity, which is then translated by machine-learning models into words or text. This process often includes visual feedback through an on-screen avatar of a speaking head.
Involves the development and integration of electrode arrays, signal processing hardware, and machine-learning algorithms. Requires precise manufacturing techniques to ensure accurate recording and translation of neural signals.
Includes the design and testing of electrode arrays, calibration of the system with individual users, training of machine-learning models on user-specific data, and integration of visual feedback systems.
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