We are changing and enhancing the uses and studies of brain machine interfacing BMI with patients who have limited language capability.
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Speech synthesis from ECoG using densely connected 3D convolutional neural networks.
OBJECTIVE: Direct synthesis of speech from neural signals could provide a fast and natural way of communication to people with neurological diseases. Invasively-measured brain activity (electrocorticography; ECoG) supplies the necessary temporal and spatial resolution to decode fast and complex processes such as speech production. A number of impressive advances in speech decoding using neural signals have been achieved in recent years, but the complex dynamics are still not fully understood…read more
Hemicraniectomy in traumatic brain injury: a noninvasive platform to investigate high gamma activity for brain machine interfaces.read more
Myoelectric Computer Interface Training for Reducing Co-Activation and Enhancing Arm Movement in Chronic Stroke Survivors: A Randomized Trial.read more
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Collaborator John Rogers, PhD of Northwestern University recently joined a panel discussion on healthcare innovation during the COVID-19 pandemic.