Neurotechnology Patents

The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating Substrate layer, forming a conductive circuit on the Substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.

The present disclosure relates generally to systems, methods, and devices for closed loop deep brain stimulation. In particular, a neural signal is measured and provided to software. The software includes a feature generator and a brain network model that takes the neural signal and estimates other neural signals that are not directly measured, and operates as a model of the brain. The software determines a stimulation signal to be sent to stimulating electrodes. Estimated signals by the brain network model are continuously compared to actual signals from the brain. The closed loop feedback system advantageously allows for electrical stimulation levels and patterns to be continuously updated while delivered to a patient.

A non-invasive control system for neuromuscular stimulation includes an 100 eye-tracking device, an electrical stimulation device, and software that interprets the eye movements of the user to determine an intended movement and sends electrical signal(s). Eye Tracking to the stimulation device to achieve the intended movement. For example, the stimulation. Device 110 device may be a sleeve with electrodes worn on a paralyzed limb, with the intended movement being the movement of the limb.

The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi - electrode design which allows for reanimation of complex muscle movements in a patient, including
individual finger movement.

The present disclosure relates to neuromuscular stimulation and sensing cuffs . The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger . More generally , the neuromuscular stimulation cuff includes an outer , reusable component and an inner , disposable component . One or more electrodes are housed within the reusable component . The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer , forming a conductive circuit on the substrate layer to form a conductive circuit layer , adhering a cover layer onto the conductive circuit layer to form a flexible circuit , and cutting at least one flexible finger from the flexible circuit . The neuromuscular stimulation cuff employs a flexible multi - electrode design which allows for reanimation of complex muscle movements in a patient , including individual finger movement .

The present disclosure relates to neuromuscular stimulation and sensing cuffs. The neuromuscular stimulation cuff has at least two fingers and a plurality of electrodes disposed on each finger. More generally, the neuromuscular stimulation cuff includes an outer, reusable component and an inner, disposable component. One or more electrodes are housed within the reusable component. The neuromuscular stimulation cuff may be produced by providing an insulating substrate layer, forming a conductive circuit on the substrate layer to form a conductive circuit layer, adhering a cover layer onto the conductive circuit layer to form a flexible circuit, and cutting at least one flexible finger from the flexible circuit. The neuromuscular stimulation cuff employs a flexible multi - electrode design which allows for reanimation of complex muscle movements in a patient, including individual finger movement.

A chronically implanted medical device is disclosed that has an outermost layer formed from a conjugate of a polymer with lipoic acid, the conjugate having free 1, 2 - dithiolane groups. It is contemplated that this layer scavenges reactive oxygen species, i. e. acts as an antioxidant, and thus reduces inflammation and other adverse effects around the implant itself.

The present disclosure relates generally to systems, methods, and devices for interpreting neural signals to determine a desired movement of a target, transmitting electrical signals to the target, and dynamically monitoring subsequent neural signals or movement of the target to change the signal being delivered if necessary, so that the desired movement is achieved. In particular, the neural signals are decoded using a feature extractor, decoder(s) and a body state observer to determine the electrical signals that should be sent.

The present disclosure relates generally to systems, methods, and devices for closed loop deep brain stimulation. In particular, a neural signal is measured and provided to software. The software includes a feature generator and a brain network model that takes the neural signal and estimates other neural signals that are not directly measured, and operates as a model of the brain. The software determines a stimulation signal to be sent to stimulating electrodes. Estimated signals by the brain network model are continuously compared to actual signals from the brain. The closed loop feedback system advantageously allows for electrical stimulation levels and patterns to be continuously updated while delivered to a patient.