18 results about "EEG device" patented technology

Ventilator (1) with at least a sensor for detecting at least one parameter of a breathing gas, a control device for specifying settings, a storage unit a control unit connected to the storage unit, a first computer program product for implementing the settings taking into account a specification and a second computer program product that regulates data transfer to and from the control unit via at least one interface (8); wherein the ventilator (1) is designed such that at least one interface allows for the mutual exchange of data between the ventilator (1) and external storage media and / or devices (12), the exchange of parameters, and the loading of parameters and / or a configuration of the ventilator from external storage media and / or devices, wherein the ventilator has at least two interfaces that support different standards and communication protocols, wherein one of the interfaces is designed as a radio interface and another of the interfaces is designed as a memory card interface, wherein the memory card interface is suitable for a Secure Digital card, a Multimedia card, a Memory Stick PRO card, an xD-Picture card, a SmartMedia card or a CompactFlash card, where data from the ventilator can be saved to an inserted memory card via the memory card interface, and data from an inserted memory card can be loaded into the ventilator, where, in the area of ​​the ventilator, a firmware or software is installed as the second computer program product, which runs as a client and enables a connection of the ventilator to the Internet, where the client is responsible for initiating contact during data transmission and is configured to determine the timing of the transmission, where reading or saving ventilation and usage information to the respective storage medium must be initiated by an event, and the event is the expiration of a specific period of time since the start or end of ventilation therapy, where, when reading usage data from the ventilator, an assignment to the correct patients is automatically performed via a stored database. wherein the ventilator contains relevant information about its setting parameters and their setting limits as well as its stored therapy information and is designed to make the relevant information available to a PC, wherein the ventilator is configured to provide, via the respective interface or storage medium, an application directly executable by a PC operating system, wherein the ventilator contains executable logic in non-volatile memory, wherein the executable logic is not executable by the ventilator itself but by the PC, thus enabling the installation of software on the PC without requiring a user to obtain the software directly from the ventilator manufacturer or a service provider via CD, download, or storage medium. wherein the ventilator further comprises a data cable as a data exchange means inserted into the respective interface, wherein the data cable is connected to an interface converter outside the ventilator, wherein the interface converter is designed to enable communication between the ventilator and another device via at least one transmission standard not provided in the ventilator itself, wherein at least one additional sensor in the form of a pulse oximeter and / or a sensor for CO2 measurement and / or a sensor for measuring respiratory effort and / or an ECG device and / or an EEG device is additionally connected to the ventilator via the interface converter.

A neurofeedback system includes an EEG apparatus, a presentation apparatus and a controller. The controller is configured to: (i) cause the presentation apparatus to display an overlaid image to the user that comprises a first image flickering at a first frequency and a second image flickering at a second frequency different than the first frequency, the first image being an affective distractor stimulus image and the second image being a task-relevant stimulus image, (ii) receive from the EEG apparatus a number of first steady-state visual evoked potential (SSVEP) signals generated in response the first image of the overlaid image and a number of second SSVEP signals generated in response the second image of the overlaid image, and (iii) calculate feedback indicative of how much attention of the was user allocated to the task-relevant stimulus image versus how much attention of the user was allocated to the affective distractor stimulus image.

A multi-use electroencephalogram (EEG) system and method consists of a strobe where the strobe is adjustable to produce single and multiple strobe flashes. An EEG device connected with the strobe configured for time-locking an EEG recording with the strobe where the EEG device measures patient flash visual evoked potential (FVEP) response to the strobe flashes and a controller connected with the strobe and the EEG device where the controller operates the strobe to produce one single strobe flash condition followed by a double strobe flash condition employing various interstimulus intervals in a complete counterbalanced order.

A long-term intracranial stereoelectroencephalogram (stereoEEG) system for determining an epileptic region of a patient includes an implantable long-term stereoEEG device connected to an intracranial stereoEEG deep electrode operably implantable within brain parenchyma. The implantable device is designed to perform conventional EEG context recording and preferential seizure recording in real time, and to transmit the records in an asynchronous manner. Through the asynchronous transmission mode, overheating of the device is avoided, battery consumption is reduced, and the long-term stereoscopic EEG process is safe and feasible. The implantable long-term stereoscopic EEG device may also include a temperature monitoring module for avoiding overheating of the device due to data processing or transmission loads and any manufacturing failure. The device of the invention may include an external stereoscopic EEG data storage device that enables long-term intracranial stereoscopic EEG without imparting specific restrictions to the patient's daily life.

In at least some embodiments, the present disclosure describes an electroencephalography (EEG) device having a main band and at least one moveable band. The main band may include fixed EEG sensors positioned on the main band so as to contact a scalp of the wearer in at least two scalp zones. The at least one moveable band may include at least one moveable EEG sensor. The moveable band may move relative to the main band to adjust to a position of the moveable EEG sensor(s) on the scalp of the wearer in at least one adjustable zone. The EEG device may include a processing device to measure EEG measurements using the fixed and / or movable EEG sensors, and transmit the EEG measurements to an external computing device to determine a mental condition, a mental state or both of the wearer based on the EEG measurements.

In at least some embodiments, the present disclosure describes an electroencephalography (EEG) device having a main band and at least one moveable band. The main band may include fixed EEG sensors positioned on the main band so as to contact a scalp of the wearer in at least two scalp zones. The at least one moveable band may include at least one moveable EEG sensor. The moveable band may move relative to the main band to adjust to a position of the moveable EEG sensor(s) on the scalp of the wearer in at least one adjustable zone. The EEG device may include a processing device to measure EEG measurements using the fixed and / or movable EEG sensors, and transmit the EEG measurements to an external computing device to determine a mental condition, a mental state or both of the wearer based on the EEG measurements.

According to one aspect, the present description relates to a portable device (10) for acquiring electroencephalographic (EEG) signals emitted by a user. The portable device comprises a flexible support (11) intended to fit a localized region of the skull of the user and a set of sensors (13) of electrical signals generated by the neuronal activity of the user, arranged on said support (11) so as to form contacts with the scalp when the device is worn by the user. For each sensor, an electronic circuit for filtering and amplifying electrical signals detected by said sensor is incorporated in the flexible support (11) and forms, with said sensor, an active electrode. The portable device also comprises a housing (12) comprising an electronic system for processing signals from said electronic filtering and amplification circuits, said housing being linked mechanically to the flexible support to form, with said support, a means of attachment to a garment or accessory intended to be worn by the user.

This disclosure relates to an emotion recognition and neural modulation system and method based on bilateral amygdala phase difference, comprising: a physiological signal acquisition device for acquiring a user's physiological signals; a facial expression acquisition device for acquiring the user's facial expressions and eye movement information; an electroencephalogram (EEG) device for acquiring the user's electroencephalogram (EEG) signals; a magnetic resonance imaging (MRI) device for acquiring the user's brain activity map; and a data processing module for preprocessing the physiological signals, facial expressions, and eye movement information before inputting them into an emotion recognition model to obtain an emotion category, determining neural activity patterns based on the EEG signals and brain activity map using a neural network model, and adjusting the operating parameters of the emotion recognition model, the EEG device, and the MRI device based on the comparison results of the neural activity patterns and the emotion category. Using the above technical solution, high-precision monitoring and regulation of emotional states and neural activity are achieved.

A method and system for tracking visual attention are disclosed. By generating at least one visual stimulus with a characteristic modulation, the characteristic modulation being applied to high spatial frequency, HSF, components of the visual stimulus and displaying the or each visual stimulus via a graphical user interface, GUI, of a display, a neural response may be induced in the user's brain. By receiving neural signals of a user from a neural signal capture device, such as an EEG device, a point of focus of the user (when the user views the visual stimulus) may be determined based on the neural signals, since the neural signals include information associated with the characteristic modulation of a visual stimulus to which the user's visual attention is directed.

This application discloses a multimodal synchronous brain imaging system based on nuclear magnetic resonance-optical-electrical signals, relating to the field of brain imaging technology. The system includes: a PET-MR device, an EEG device, a detector headgear, and an eye tracker. The PET-MR device is an integrated device of a PET device and an MR device. The EEG device includes an EEG receiver and EEG electrodes. The detector headgear includes an NIRS detector and EEG electrodes. The PET-MR device is used for positron emission tomography (PET) and magnetic resonance imaging (MRI). The detector headgear is used to acquire EEG signals and blood flow infrared signals. The eye tracker is used to acquire eye movement trajectories. The PET device, eye tracker, NIRS detector, and EEG device synchronously acquire multimodal data based on a synchronization signal provided by a clock source within the MR device. This application improves the comprehensiveness and accuracy of brain imaging.

The invention relates to the technical field of man-machine interaction and multimedia control, in particular to an emotion dynamic adjustment algorithm and system based on EEG signal driving, and the algorithm comprises the following steps: S1, collecting an EEG signal of a player in real time through EEG equipment, and carrying out the preprocessing of the EEG signal, including filtering, denoising and artifact elimination; s2, inputting the preprocessed EEG signals into a convolutional neural network + BiLSTM model, extracting deep emotional features, and outputting an emotional state value; and S3, according to the current emotional state vector and the historical emotional data, judging whether the emotion of the player is in a target interval or not, if the emotional state deviates from the target interval, generating an adjusting instruction, and dynamically adjusting game content parameters. According to the emotion dynamic adjustment algorithm and system based on EEG signal driving, closed-loop control over player state perception and game content is achieved, the immersion feeling of players is improved, the game duration is prolonged, and personalized dynamic adjustment is provided for musical play type sound games.

The invention discloses a dance intervention training method for improving the function of a human body. The method comprises the following steps of 1, data collection, wherein electroencephalogram signals of the human body during different dance actions are recorded through electroencephalogram equipment; step 2, stretching limbs; in the step of stretching the limbs, the limbs are stretched, and the actions are large in motion range, smooth and high in ductility; step 3, mode identification: analyzing the electroencephalogram data obtained in the step 1, finding out a most stable electroencephalogram characteristic mode which is most related to a specific intention or behavior of'body stretching action ', and identifying the action in the mode as a training action; and 4, dance intervention training: combining a plurality of training actions to form a series of dance actions for training. Neurophysiological association between dance actions is monitored in real time through an electroencephalogram, and human muscle training is performed in combination with the dance actions, so that recovery of human body functions is driven.

A semi-dry electrode assembly is disclosed, it comprises: a case having a container and an opening; and an electrode disposed in the container, comprising: a shaft, rotatably mounted on the case; and a protrusion structure on the shaft, wherein at least one part of the protrusion structure protrudes through the opening from the container.

1. Name of the product in this design: Terminal EEG Device (Emotional Companion). 2. Purpose of this design: For emotional support of the elderly. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application belongs to the field of brain-computer interface and electroencephalogram technology, and relates to an autonomous blinking recognition method and system based on time-frequency feature fusion of single-channel electroencephalogram signals. The method comprises the following steps: acquiring single-channel EEG signals and performing data preprocessing; determining and segmenting the blinking action in the preprocessed EEG signals by using a sliding window-based blinking interval detection algorithm; performing autonomous blinking feature extraction and optimization on the EEG signal interval determined as the blinking action in the time-frequency domain; and inputting the extracted features into a pre-trained MLP classifier to realize accurate recognition of autonomous blinking. The application utilizes the portability advantage of single-channel EEG devices, realizes accurate recognition of autonomous blinking, lays a key technical foundation for constructing an interactive system with low false detection rate and high response speed, and is especially suitable for scenes such as barrier-free interaction and virtual reality control that have strict requirements on intention recognition reliability.

The application provides a relationship enhancement method and system based on EEG multi-person cooperative regulation, relates to the field of virtual reality technology, and specifically includes the following steps: a VR client identifies a selected interaction mode according to received operation of a VR device; a brain electrical signal acquisition device acquires brain electrical signals of a user in real time; a personal concentration degree obtained through analysis is used to accumulate concentration energy bars at different speeds; when the concentration energy bars are accumulated, the personal concentration degree and a relaxation degree are used to calculate a team flow level in real time during a process in which the user performs a task related to a selected virtual role; and the difficulty of a multi-person cooperative task is adjusted according to the team flow level. The application uses a low-cost EEG device to acquire brain electrical signals of a user, calculates a flow state of each user through a deep learning algorithm, adjusts the difficulty of a game in real time according to the personal concentration degree and the relaxation degree of each user, is more conducive to timely communication and cooperative interaction, and enhances empathy and emotional relationships.

An electroencephalography (EEG) system comprises: an EEG device; a display; one or more processors; a memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving measurement data; extracting, from the measurement data, a first set of features and a second set of features; inputting the first set of features and the second set of features into a first treatment-specific machine-learning model and a second treatment-specific machine-learning model, respectively; generating a data structure based on the predicted treatment responses; and rendering, on the display, the generated data structure to provide the predicted treatment responses to the first candidate treatment of the CNS disease and the second candidate treatment of the CNS disease.