A61B5/291

Group association system and method based on brainwave response to external stimulation
11540764 · 2023-01-03 ·

A group association system attempts to identify if an individual is “gifted” in any particular area. A group association system is based on brainwave response to stimulation is disclosed. The system including a brainwave stimuli device which provides stimuli to groups of highly skilled, general skilled, and a general population groups, as test stimuli for determination of group association. A brainwave collection device collects brainwaves of individuals, with the brainwave collection device storing collected brainwaves in a brainwave database. A brainwave processing device analyzes brainwaves received from the brainwave database. A brainwave analysis device uses analyst screens, artificial intelligence or machine learning to analyze the brainwaves create at least one signature development module for determination of similar brainwaves related to different individuals' responses to the same stimuli. In addition, at least one signature development module determines which individuals have the same or similar brainwave responses to the same test stimuli.

THERMALLY ACTUATED ELECTRODES FOR IMPROVED SKIN-CONTACT PHYSIOLOGICAL MEASUREMENTS
20220409137 · 2022-12-29 ·

A device for skin-contact biological measurement includes one or more electrodes to enable signal transmission through a skin contact and a control mechanism coupled to the one or more electrodes to adjust an electrode-to-skin impedance (ESI). The control mechanism is configured to implement the ESI adjustment using a thermal actuator.

THERMALLY ACTUATED ELECTRODES FOR IMPROVED SKIN-CONTACT PHYSIOLOGICAL MEASUREMENTS
20220409137 · 2022-12-29 ·

A device for skin-contact biological measurement includes one or more electrodes to enable signal transmission through a skin contact and a control mechanism coupled to the one or more electrodes to adjust an electrode-to-skin impedance (ESI). The control mechanism is configured to implement the ESI adjustment using a thermal actuator.

Neural sleeve for neuromuscular stimulation, sensing and recording

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.

Neural sleeve for neuromuscular stimulation, sensing and recording

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.

Apparatus and method for providing customized mobility driving path using brain wave

An apparatus for providing a customized mobility driving path using a brain wave signal includes a sensor configured to collect a brain wave signal for a driver of a mobility in a predetermined channel region, an analyzer configured to determine information to be provided regarding a planned path by analyzing the brain wave signal collected in the predetermined channel region, and a controller configured to control an operation of the mobility based on the information to be provided.

SYSTEM AND METHOD FOR CONTROLLING PHYSICAL SYSTEMS USING BRAIN WAVES

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.

SYSTEM AND METHOD FOR CONTROLLING PHYSICAL SYSTEMS USING BRAIN WAVES

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.

Methods for automatic generation of EEG montages

Computer-implemented methods of enabling an on-the-fly generation of at least one user-defined montage from EEG electrodes positioned in a patient's brain, on the patient's brain and/or on the patient's scalp. The methods includes generating a graphical interface to display a view of the patient's brain and/or scalp overlaid with the EEG electrodes, each of which is uniquely identified with reference to its position in the patient's brain, on the patient's brain and/or on the patient's scalp, displaying a tool within the graphical interface for selecting at least one electrode from the displayed EEG electrodes, indicating a reference electrode corresponding to the selected electrode, accessing EEG signals corresponding to the electrode and the reference electrode, and generating another graphical interface to display an EEG trace indicative of a comparison of EEG signals of the electrode and the reference electrode.

Methods for automatic generation of EEG montages

Computer-implemented methods of enabling an on-the-fly generation of at least one user-defined montage from EEG electrodes positioned in a patient's brain, on the patient's brain and/or on the patient's scalp. The methods includes generating a graphical interface to display a view of the patient's brain and/or scalp overlaid with the EEG electrodes, each of which is uniquely identified with reference to its position in the patient's brain, on the patient's brain and/or on the patient's scalp, displaying a tool within the graphical interface for selecting at least one electrode from the displayed EEG electrodes, indicating a reference electrode corresponding to the selected electrode, accessing EEG signals corresponding to the electrode and the reference electrode, and generating another graphical interface to display an EEG trace indicative of a comparison of EEG signals of the electrode and the reference electrode.