Hi LLC

Randal Koene

Antonio H Lara

John William Stanton

Kristopher Anderson

Christian T Wentz

Brian S Robinson

Roman Sandler

Erik J Peterson

Described herein are systems and methods for reducing the size of data payloads delivered to downstream processing from a raw series of biological sensor recordings. In one variation, the system comprises a low-power hardware architecture that combines serially sampled neural signal data with a transformation matrix (TFM) using a novel systolic random-logic-macro (RLM) array.

Systems and methods to reduce data and complexity in neural signal processing chain

Devices, systems, and methods herein relate to processing biosignal data. These systems and methods may obtain sensor data from a plurality of electrodes and may also be used to augment cortical function, treat neurological disease, and provide insight and analysis of biological processes and/or clinical therapeutic outcomes. An implantable biosignal processing system may comprise a lead having at least one biosignal sensor configured to transmit biosignal data based on electrophysiological activity of a subject. A first processing system may be coupled to the biosignal sensor and comprise a plurality of analog signal processing circuits configured to be selectively powered based on a selectable treatment mode. A second processing system in communication with the first processing system and may comprise a plurality of digital signal processing circuits configured to be selectively powered based on the treatment mode. A neurostimulator may stimulate tissue according to the set of biosignal characteristics.

Reconfigurable biosignal processing architecture

Growing community of inventors

San Francisco, CA, United States of America

Randal Koene