University of Washington

Leland Stanford Junior University

Jeffrey Herron

Howard Jay Chizeck

Jeffrey Ojemann

Oliver Crandall Johnson

Chet Moritz

Yasmine Kehnemouyi

Matthew Petrucci

Rajesh P N Rao

Johanna O'Day

Eberhard E Fetz

Helen Bronte-Stewart

Systems and methods for deep brain stimulation using kinematic feedback in accordance with embodiments of the invention are illustrated. One embodiment includes a deep brain stimulation system, including an implantable neurostimulator, a first inertial measurement unit (IMU), a second IMU, and a controller, where the controller is communicatively coupled to the implantable neurostimulator, the first IMU, and the second IMU, and where the controller is configured to obtain kinematic data from the first IMU and the second IMU, identify an abnormal movement event based on the kinematic data, and modify deep brain stimulation provided by the implantable neurostimulator based on the identified abnormal movement event.

Systems and methods for deep brain stimulation using kinematic feedback for treatment of movement disorders

Systems and methods for promoting neuroplasticity in a brain of a subject to improve and/or restore neural function are disclosed herein. One such method includes detecting residual movement and/or muscular activity in a limb of the subject, such as a paretic limb. The method further includes generating a stimulation pattern based on the detected movement and/or muscular activity, and stimulating the brain of the subject with the stimulation pattern. It is expected that delivering stimulation based on the detected residual movement and/or muscular activity of the limb will induce neuroplasticity for restoring neural function, such as control of the limb. A second method involves detecting brain signals and delivering contingent stimulation. A third method involves delivering pairs of successive stimulus patterns to two brain sites, controlled either by preprogrammed sequences or contingent on neural or muscular activity or movement.

Systems and methods for brain stimulation for recovery from brain injury, such as stroke

Methods and apparatus for using are provided for using neural signals to drive touch screen devices. An electromyography (EMG) device can receive neural based on electrical activity of one or more voluntary muscles of a user of the EMG device. The EMG device can filter the neural signals to generate a plurality of channel signals. A touch event can be determined based on the plurality of channel signals. The touch event can relates to user input for a touch-based interface of a touch-enabled device. The touch-enabled device can receive an indication of the touch event. The touch-enabled device can determine a touch operation for the touch-enabled device based on the touch event and then perform the touch operation.

Using neural signals to drive touch screen devices

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Seattle, WA, United States of America

Jeffrey Herron