Abstract: A system for electrical stimulation may comprise a plurality of electrodes and a processor. The processor may be configured to: define a region of interest (ROI) for electrode activation via a first subset of the plurality of electrodes; and define a second subset of electrodes, wherein each electrode within the second subset of electrodes are positioned away from the ROI such that the average distance between each electrode and the ROI is maximized. The second group of electrodes may be defined via low-discrepancy sequences or an equidistributed sequence. The plurality of electrodes may be part of a wearable garment or an implantable device. The system may be for muscle stimulation or neural simulation.

Abstract: The present disclosure provides systems and processes for compensating disruptions in a brain-machine interface (BMI). Briefly described, the systems and processes detect and compensate for transient disruptions, reversible disruptions, irreversible compensable disruptions, or irreversible non-compensable disruptions.

Abstract: Systems and methods for generating a finite element model (FEM) of current flow in an anatomical human forearm are disclosed. The disclosed FEM may assist in determining optimal stimulation parameters in electrical stimulation systems for achieving movement of paralyzed limbs or enhancement of able limbs. This model will allow users to determine which muscle groups are receiving stimulation under different parameters. Systems and methods which leverage electrical impedance tomography (EIT) for autonomous recalibration following garment donning are also disclosed. The method may comprise performing an EIT measurement across an electrode array of an electrode garment and constructing an anatomical model based on the EIT measurement. Next, one or more alignment variations may be estimated based on an alignment variation model. Finally, the electrode array is adjusted, automatically or manually, to accommodate the alignment variations using an alignment adjustment function.

Abstract: Systems and methods which leverage electrical impedance tomography (EIT) for autonomous recalibration following garment donning are disclosed. The method may comprise performing an EIT measurement across an electrode array of an electrode garment and generating an anatomical model based on the EIT measurement. Next, one or more alignment variations may be estimated based on an alignment variation model. Finally, the electrode array is adjusted, automatically or manually, to accommodate the alignment variations using an alignment adjustment function.

Abstract: Disclosed is a muscle stimulation system, comprising a wearable garment including a plurality of electrodes, and a processor; wherein the processor is configured to define one or more regions of interest (ROI) for electrode activation via a subset of the plurality of electrodes, and provide electrical muscle stimulation, via the subset of the plurality of electrodes, to the ROI.

Abstract: Disclosed is a muscle stimulation system, comprising a wearable garment including a plurality of electrodes, and a processor; wherein the processor is configured to define one or more regions of interest (ROI) for electrode activation via a subset of the plurality of electrodes, and provide electrical muscle stimulation, via the subset of the plurality of electrodes, to the ROI.