Embodiments of a system for controlling an object using brainwaves are disclosed. The system includes a set of EEG electrodes configured to be positioned on a head of a user and to collect EEG signals. The system further includes one or more computer readable storage mediums storing a framework configured to execute an extensible architecture through which EEG signals are interpreted for control of the object. The framework includes an EEG device plugin associated with the set of EEG electrodes and configured to extract the EEG signals from the set of EEG electrodes. The framework also includes an interpreter plugin configured to convert the EEG signals extracted by the EEG device plugin into a command. Further, the framework includes an object control plugin configured to access the command through an extension point of the interpreter plugin and to execute the command to control the object.

Apparatus and methods for monitoring electrical activity within the brain of a person (“brainwaves”) employing electrodes or other sensors placed proximate to portions of the body below the head to develop raw signals without physically touching the body and penetrating hair and clothing. Additionally, apparatus and methods for monitoring electrical activity within the brain of a person (“brainwaves”) employing non-contacting sensors placed proximate to portions of the head to develop raw signals. The raw signals are filtered to produce analysis signals including frequency components relevant to brain electrical activity while attenuating unrelated frequency components. The apparatus and methods can be used for biofeedback-based attention training, human performance training, gaming, biometrics, cognitive state detection, and relaxation training. Either wired or wireless signal connections are made to electronic circuitry, typically including a digital computer, for performing signal processing and analysis functions.

An electrophysiological monitoring system includes an electrophysiology amplifier chip configured to couple to a plurality of electrophysiological electrodes and to measure electrophysiological signals. The system also includes a computing device configured to receive and to process the electrophysiological signals. The system further includes an interface device coupled to the electrophysiological amplifier chip and the computing device, the interface device configured to convert communication signals between the computing device and the electrophysiology amplifier chip.

An electrophysiological monitoring system includes an electrophysiology amplifier chip configured to couple to a plurality of electrophysiological electrodes and to measure electrophysiological signals. The system also includes a computing device configured to receive and to process the electrophysiological signals. The system further includes an interface device coupled to the electrophysiological amplifier chip and the computing device, the interface device configured to convert communication signals between the computing device and the electrophysiology amplifier chip.

This invention relates generally to methods for localization and visualization of implanted electrodes and penetrating probes in the brain in 3D space with consideration of functional brain anatomy. Particularly, this invention relates to precise and sophisticated methods of localizing and visualizing implanted electrodes to the cortical surface and/or topological volumes of a patient's brain using 3D modeling, and more particularly to methods of accurately mapping implanted electrodes to the cortical topology and/or associated topological volumes of a patient's brain, such as, for example, by utilizing recursive grid partitioning on a manipulable virtual replicate of a patient's brain. This invention further relates to methods of surgical intervention utilizing accurate cortical surface modeling and/or topological volume modeling of a patient's brain for targeted placement of electrodes and/or utilization thereof for surgical intervention in the placement of catheters or other probes into it.

Systems, apparatuses and methods may provide for technology that converts a plurality of multi-channel time-synchronized signals into a plurality of image patches, combines the plurality of image patches into an image, and generates, by a transformer neural network, a classification result based on the image.

Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.

Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.

An electroencephalogram signal processing apparatus includes an interface and one or more processors. The interface receives, from each of a plurality of electrodes attached to a head of a subject, an electroencephalogram signal corresponding to a change over time in a brain activity potential of the subject. The processor obtains a value of an electroencephalogram parameter for each of the plurality of electrodes by processing the electroencephalogram signal, and the processor outputs data for plotting the value on a radar chart. A plurality of regions to each of which at least one electrode is attached are set in the head. Each of a plurality of coordinate axes provided in the radar chart is associated with a corresponding one of the plurality of regions.

An electroencephalogram signal processing apparatus includes an interface and one or more processors. The interface receives, from each of a plurality of electrodes attached to a head of a subject, an electroencephalogram signal corresponding to a change over time in a brain activity potential of the subject. The processor obtains a value of an electroencephalogram parameter for each of the plurality of electrodes by processing the electroencephalogram signal, and the processor outputs data for plotting the value on a radar chart. A plurality of regions to each of which at least one electrode is attached are set in the head. Each of a plurality of coordinate axes provided in the radar chart is associated with a corresponding one of the plurality of regions.