22 results about "Occipital lobe" patented technology

The invention discloses a cognitive feature extraction and classification method and system based on electroencephalogram signals, and the method comprises the steps: constructing a cognitive divergence mapping network, so as to integrate a multi-branch brain region topology module and a neurodynamics physical information network module; the multi-branch brain region topology module divides detection branches of five brain regions (frontal lobe, central lobe, parietal lobe, occipital lobe and temporal lobe) according to 10-20 systems, and through feature extraction of different brain region branches, the feature learning ability of the Alzheimer's disease patient under the condition of cross-brain region signal heterogeneity is remarkably improved; the neurodynamics physical information network module can effectively extract changes of low-frequency and high-frequency components in electroencephalogram signals of the Alzheimer's disease patient by introducing frequency band separation, Fourier transform power spectrum constraint, an adaptive weighting mechanism and neural representation embedding in a frequency spectrum congruence space. The accuracy and generalization of electroencephalogram signal analysis are remarkably improved, and an efficient and non-invasive detection tool is provided for early diagnosis of the Alzheimer's disease.

Occipital lobe stimulation device comprising normal looking glasses having a frame portion with side portions and lens portions, provided together with a battery-powered plurality of Light-Emitting Diodes (LEDs) fixed around an anterior periphery of the frame portion for emitting photons of light to reflect off of an object in the outside world, and a plurality of photoreceptors dispersed across and retained in the lens portions, the photoreceptors being connected via wires to corresponding inverters in the side portions which are also wire connected to output devices on a strap an enabling connection to corresponding input devices surgically implanted and connected to the user's occipital lobes, for transmitting image information relating to the object to the user's occipital lobes to enable the user's brain to make use of the information.

The invention discloses a system for evaluating the cognitive function of a subject based on fNIRS and an interaction method. The head cap and the near-infrared light emitting / receiving probe in the system enable the imaging range to cover the frontal lobe, the temporal lobe and the occipital lobe; the cognitive assessment normal form interaction device sequentially executes a suppression control assessment normal form, an alert attention assessment normal form, a selection attention assessment normal form, a core attention network assessment normal form, a work memory assessment normal form and a cognitive control assessment normal form in a single block mode according to an execution sequence from simple to difficult; the signal acquisition device cooperatively acquires near-infrared brain function imaging time sequence data in the sequential execution process of each evaluation normal form; the processing device evaluates the cognitive function of the subject on the basis of the near-infrared brain function imaging time series data and behavioral data generated on the basis of the evaluation normal form. According to the method, the brain function data of more dimensions associated with the cognitive function can be acquired in a short time, and multi-angle evaluation and analysis on the cognitive function of the subject can be conveniently and clinically performed based on the fNIRS.

A system for estimating a subject's functional brain age using non-invasive electroencephalography (EEG), the system includes: an EEG acquisition module (101) configured to record multichannel EEG signals from the subject; a stimulation control module (102) configured to present a predefined sequence of cognitive and sensory tasks that specifically target the frontal, temporal, parietal and occipital brain regions, and to generate synchronized event markers; a data processing module (103) configured to prepare the recorded EEG signals by filtering, artifact removal, normalization and segmentation into task-oriented time windows; a machine learning module (104) comprising one or more self-monitoring contrastive learning encoders configured to transform the preprocessed EEG signals into latent feature representations; and a brain age estimation module (105) configured to process the latent feature representations to generate a BrainAge Score indicating a difference between a predicted biological brain age and the subject's chronological age.

The present application discloses a system and interactive method for evaluating the cognitive function of a subject based on fNIRS. The head cap and near-infrared light emitting / receiving probe in the system enable the imaging range to cover the frontal lobe, temporal lobe, and occipital lobe; the cognitive assessment paradigm interactive device sequentially executes the inhibitory control assessment paradigm, the alert attention assessment paradigm, the selective attention assessment paradigm, the core attention network assessment paradigm, the working memory assessment paradigm, and the cognitive control assessment paradigm in a single-block mode in an order of execution from simple to difficult; the signal acquisition device collaboratively collects near-infrared brain function imaging time series data during the sequential execution of each assessment paradigm; the processing device evaluates the cognitive function of the subject based on the near-infrared brain function imaging time series data and the behavioral data generated based on the assessment paradigm. The present application can obtain brain function data of more dimensions associated with cognitive function in a relatively short period of time, which is convenient for clinical evaluation and analysis of the cognitive function of the subject from multiple angles based on fNIRS.

Occipital lobe stimulation device comprising normal looking glasses having a frame portion with side portions and lens portions, provided together with a battery-powered plurality of Light-Emitting Diodes (LEDs) fixed around an anterior periphery of the frame portion for emitting photons of light to reflect off of an object in the outside world, and a plurality of photoreceptors dispersed across and retained in the lens portions, the photoreceptors being connected via wires to corresponding inverters in the side portions which are also wire connected to output devices on a strap an enabling connection to corresponding input devices surgically implanted and connected to the user's occipital lobes, for transmitting image information relating to the object to the user's occipital lobes to enable the user's brain to make use of the information.

The invention provides a personalized anesthesia control system, method and device and a medium, and the system comprises a collection monitoring module which is used for collecting occipital electroencephalogram signals of a user in a sober eye closing state and monitoring forehead electroencephalogram signals of the user in an anesthesia state; the control processing module is used for performing screening calculation according to the occipital electroencephalogram signals to obtain a reference Alpha peak frequency, performing calculation according to the forehead electroencephalogram signals to obtain a dynamic Alpha peak frequency, and performing analysis according to the reference Alpha peak frequency and the dynamic Alpha peak frequency to obtain the amount of anesthetic to be adjusted; the medicine infusion module is used for adjusting the anesthesia state of the user in real time according to the anesthetic dosage to be adjusted. According to the personalized anesthesia control system, the anesthesia depth can be monitored in real time by using the electroencephalogram signals of the user in the sober eye closing state, and personalized adjustment is automatically carried out.

Embodiments of the present application provide a head-mounted assembly, a transcranial light regulation device and equipment for transcranial light regulation. The head-mounted assembly comprises a sheet with a hollow structure and a plurality of light emitting elements, and the sheet at least wraps around the head of the object in the transcranial light regulation state. At least through the hollow structure, the sheet is formed with a front island, a rear island, a pair of side islands between the front island and the rear island, a top island, and a plurality of cross-linking parts connecting adjacent islands. The top island and the rear island, and the hollow structure formed by the cross-linking part between the top island and the rear island form a hair bundle opening. A first part of the plurality of light emitting elements is arranged on the inner side of the rear island facing the object, and the first part is configured to correspond to the occipital region of the object. The hair of the object can be exposed from the hair bundle opening, effectively reducing the hair thickness of the occipital region, and significantly improving the transcranial light regulation effect of the occipital region.

A system for providing warmth and protection to a wearer's head includes headwear configured to cover the wearer's head, neck, face, and first portion of hair. The headwear includes a first end, a second end, a first opening for the wearer's eyes, and a second opening configured to accommodate a second portion of hair. The second opening is positioned such that, when the wearer is wearing the balaclava, the second opening is located beneath an occipital bone, an occipital lobe, and a cerebellum of the wearer. The system can further include a helmet. The second opening can be configured to be positioned below a bottom of a rear portion of the helmet. The first opening can be positioned axially between the first end and the second end of the balaclava. The second opening can be positioned axially between the first opening and the first end of the balaclava.

The application relates to a probe mounting assembly, a head cap and a near-infrared brain function imaging device, comprising a cushion assembly configured to fit the head of a subject and a plurality of probe mounting portions. The cushion assembly comprises a pair of first cushions capable of covering at least the left and right primary motor areas of the subject, a second cushion capable of covering at least the forehead area of the subject, a pair of third cushions capable of covering at least the left and right temporal lobe areas of the subject, and a fourth cushion capable of covering at least the occipital lobe area of the subject. The first cushion comprises a first edge, a second edge and a third edge, the center distance between at least part of the plurality of second cushion probe mounting portions adjacent to the first edge and the first cushion probe mounting portion arranged on the first edge satisfies a preset interval range; the center distance between the plurality of third cushion probe mounting portions adjacent to the second edge and the first cushion probe mounting portion arranged on the second edge satisfies the preset interval range. In this way, the number of detection channels can be increased.

1. Name of the product in this design: Portable electroencephalogram (EEG) machine. 2. Purpose of this design: To collect electroencephalogram (EEG) signals from the occipital lobe of a user's brain via wireless transmission, thereby assisting doctors in assessing the patient's recovery status. 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.

This invention belongs to the field of brain function testing technology, specifically disclosing a method and system for assessing care efficacy based on near-infrared super-scanning. This method uses a near-infrared brain functional imaging (fNIRS) system to simultaneously acquire light intensity data from the prefrontal, parietal, and occipital cortices of subjects performing cooperative cognitive tasks with caregivers, converting this data into oxygenated and deoxygenated hemoglobin concentrations for individual-level analysis. Brain region matching is completed, and interbrain synchronous activity is detected through transfer entropy analysis and combined power spectrum analysis to obtain the magnitude and directionality of interbrain synchronicity. Based on the magnitude and directionality of interbrain synchronicity, the level of care efficacy between patients with cognitive impairment and their caregivers is assessed. This technical solution utilizes super-scanning technology to analyze and obtain the level of care efficacy between patients with cognitive impairment and their caregivers, thereby facilitating focused observation and care for patients with cognitive impairment.

The present disclosure relates to a diagnostic device, a diagnostic apparatus, and a diagnostic system for cognitive impairment. The diagnostic device includes an acquisition module configured to acquire near-infrared data of a target region of the cerebral cortex of a subject in a resting state collected via at least a pair of detection elements, and a pair of detection elements are arranged to form a channel; an extraction module configured to extract a diagnostic index based on the near-infrared data, the diagnostic index including at least one of brain region connection strength and inter-channel connection strength, the brain region connection strength at least including brain region connection strength information related to the frontal lobe, parietal lobe, and occipital lobe, and the inter-channel connection strength at least including inter-channel connection strength information related to the right dorsolateral prefrontal cortex and the left occipital lobe; and a prediction module configured to predict the cognitive impairment status of the subject based on the diagnostic index. The inter-channel connection strength between 5 pairs of channels formed corresponding to the right dorsolateral prefrontal cortex and the left occipital lobe has significant specificity and recognition, improving the clinical diagnostic efficiency and accuracy.

The application provides an electroencephalogram emotion recognition method based on double-flow time-space asymmetry physiological region division. The recognition method comprises the following steps: step one, after frequency division extraction of the electroencephalogram signal, the signal is sent to a dynamic time layer; step two, the electroencephalogram signal with extracted time-frequency features is divided into four regions of frontal lobe, temporal lobe, parietal lobe and occipital lobe according to physiology, and is sent to an asymmetry space layer as a first flow; step three, the original electroencephalogram signal is first divided into four regions of frontal lobe, temporal lobe, parietal lobe and occipital lobe, and is sent to an asymmetry space layer; step four, the signal with extracted space features is sent to a dynamic time layer as a second flow; step five, five regions of the four regions in the first flow plus global electroencephalogram region and five regions of the second flow are sent to a high-level fusion layer for fusion. Compared with the prior art, the application realizes weight distribution of different physiological regions on specific emotions, so that each region of the electroencephalogram is more sensitive to emotion recognition.

The embodiment of the present application provides a near-infrared optical imaging system for use in a microgravity scenario and a method of using the same. The system includes a fixed component, a portable signal acquisition device, a head cap and a processing device. The fixed component includes a stand and a wearable component. The head cap is a structure with an open top when worn, and is used to detachably install a transmitting probe and a receiving probe. The transmitting probe includes a target transmitting probe and a spare transmitting probe, and the receiving probe includes a target receiving probe and a spare receiving probe, so that the imaging range covers the target positions of the frontal lobe, temporal lobe, and occipital lobe. The transmitting probe and the receiving probe are connected to the signal acquisition device through at least a part of the cable; the signal acquisition device is used to collect the brain function imaging time series data of the subject, and send the brain function imaging time series data to the processing device for display or analysis. In this way, the emotional state of the subject in a microgravity environment and the corresponding changes in his brain can be analyzed.

This invention discloses a control system and method for Internet of Things (IoT) devices based on steady-state visual evoked potentials (SSVEP) and augmented reality (AR). The system is applied to wearable AR devices and includes an SSVEP signal acquisition module, an AR display and stimulus presentation module, a processing and recognition module, a wireless communication and control module, and an AR feedback presentation module. The AR module renders a virtual control object with a specific flickering frequency in the user's field of vision, while the acquisition module acquires EEG signals from the user's occipital cortex in real time. The processing and recognition module decodes the user's gaze intent and generates control commands using CCA or deep learning algorithms. Furthermore, the system integrates eye tracking for dual intent verification and utilizes a context-aware module to adaptively switch scene modes. This invention achieves "what you see is what you get" hands-free, silent interaction, effectively solving the control challenges of IoT devices under conditions of hand-occupancy and environmental noise interference, and possesses the advantages of high robustness and low cognitive load.

The invention provides a portable brain tissue edema intelligent monitoring device based on a terahertz spectrum. The portable brain tissue edema intelligent monitoring device comprises a wearing mechanism, a flexible probe and a processing unit, the wearing mechanism is wound on the head of a patient and is used for fixing the flexible probe and the processing unit on the head of the patient to monitor the change of encephaledema; the flexible probe array is installed in the wearing mechanism, and flexible probes are attached to the head of a patient; the processing unit is mounted on one side of the wearing mechanism; the miniature quantum cascade laser is used as an emission source to generate low-frequency terahertz waves so as to enhance the skull penetrating capacity, the high-sensitivity pyroelectric detector is used, the lock-in amplification technology is combined to improve the weak signal detection capacity, the flexible silica gel substrate attaches the monitoring component to the frontal lobe, the temporal lobe, the occipital lobe and other key areas of the head of a patient, and the detection accuracy is improved. Terahertz spectrum signals of different areas of brain tissue are continuously collected, spatial and temporal changes of moisture content and ion concentration are analyzed, an edema thermogram is constructed, and encephaledema is monitored in real time.

The invention provides an adjustable electrode cap suitable for brain function detection of a patient with Alzheimer's disease. The electrode cap is mainly composed of a left half helmet, a right half helmet and a built-in electrode array assembly, and the layout of the electrode array corresponds to the frontal lobe, the apical lobe, the temporal lobe, the occipital lobe and other brain areas closely related to the Alzheimer's disease. A double-threaded-rod structure is adopted, the position and angle of the electrode probe can be flexibly adjusted, and the accuracy of electroencephalogram signal collection is improved. The half helmet is provided with a self-locking and quick-releasing mechanism, so that a patient can conveniently wear and take down the half helmet. The electrode array is integrated with a telescopic elastic device, so that the pressure on the head of a patient can be effectively buffered, and the wearing comfort is improved. The adjustable electrode cap is optimized and innovated in the aspects of structure, function, layout and the like, the electroencephalogram signal acquisition quality can be remarkably improved through the technical scheme, reliable support is provided for auxiliary diagnosis of the Alzheimer's disease, and the adjustable electrode cap has the advantages that the doctor-patient burden is relieved, the diagnosis and treatment efficiency is improved, and the adjustable electrode cap has good application prospects and popularization value.

This invention discloses a graded obstacle avoidance brain-controlled wheelchair and its control method based on steady-state visual evoked potentials (SVPs). By collecting EEG signals from the user's occipital lobe region and combining them with visual stimulation to induce steady-state visual evoked potentials, wheelchair movement commands are generated. Simultaneously, an environmental perception module acquires obstacle information in real time, and the wheelchair movement control module determines the obstacle avoidance status accordingly. Furthermore, the decoding process of the steady-state visual evoked potentials is constrained during the brain-controlled command generation stage, achieving coordinated control of obstacle avoidance warnings and brain-controlled commands. Through graded obstacle avoidance processing and corresponding feedback mechanisms, unsafe control commands are restricted at the generation stage, thereby improving the safety, stability, and applicability of the brain-controlled wheelchair in complex environments.

The present application belongs to the field of image processing, and particularly relates to a method and system for extracting primate motor brain function activation area based on MPI, which is used to solve the problems of low detection rate of subtle activation and weak or lost network connection in functional connectivity research in the prior art. The method comprises: making a subject target perform a preset action and continuously collecting brain images in time sequence to obtain brain MPI data; based on the brain MPI data, image reconstruction is performed to obtain a two-dimensional brain time sequence image sequence; comparing a reference brain anatomical diagram, frontal lobe images and occipital lobe images are extracted based on the two-dimensional brain time sequence image sequence of the subject target; the correlation of the signal intensity of each position of the frontal lobe images and the occipital lobe images with the preset action performed by the subject target is calculated respectively to obtain corresponding motor function activation areas. The advantage of the method is that the change of functional CBV with time can be directly monitored, and the activation of the brain area is more clearly and accurately displayed.

Visual effects presented in at least an ultra-far peripheral horizontal static field of the eyes of a user improve or enhance brain function, homeostasis and performance. The visual effects are non-contextual with respect to content appearing in a central field of vision, and do not constitute a cursor, a user input field or other user interface element. The ultra-far peripheral horizontal static field extends rearwardly from a fovea centralis of the eye in a straight ahead static gaze direction to 100 degrees or more rearwardly from the fovea centralis. Such can be used to treat or improve: traumatic brain injury; acuity, focus, visual convergence, visual sustainability, visual processing, visual field, retinal health, brain field health, visual discrimination, visual spatial memory, ocular motility, pursuits and saccades, hold fixation, convergence / divergence, eye alignment, depth perception, Phorias, occipital cortex, blink rate, pain, migraine headaches, and / or balance of the user or human subject.

The present specification provides a lightweight brain function state evaluation device, method and system, wherein the device comprises: a portable head-mounted device provided with a detection electrode group corresponding to the prefrontal lobe, central region, parietal lobe and occipital lobe of the brain; a processing unit configured to determine a four-parameter feature set from a multi-channel electroencephalogram signal, the four-parameter feature set comprising a peak alpha frequency, a 1 / f spectrum slope, an alpha wave relative power and a theta wave relative power; and calculate a brain function state quantitative index value based on a preset mapping relationship according to the four-parameter feature set, the mapping relationship being such that when the four-parameter feature set is the same, a unique brain function state quantitative index value is output. The present scheme can simplify the device structure, simplify the device usage, reduce the device cost, and more scientifically, accurately and reliably evaluate the brain function state, thereby being more suitable for the needs of scenarios such as daily brain function detection and personal daily health management at home.