13 results about "Frontal lobe" patented technology

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 application provides a Chinese spoken language intention recognition brain-computer interface system based on a sound-meaning integration double model, belongs to the technical field of biomedical engineering, and relates to language brain-computer interface technology. Taking sound-meaning integration as the core, the stereotactic intracranial electroencephalogram (sEEG) technology is adopted to collect neural signals of the brain articulatory motor coding area and the semantic concept organization coding area. The system comprises a voice initiation decoder, a speech decoder, a semantic decoder and a Chinese word speech-semantic fusion synthesizer, the target decoder is constructed by extracting high gamma band features of key brain areas of the frontal lobe (left inferior frontal gyrus, premotor cortex, etc.), the temporal lobe (anterior temporal lobe, dorsolateral temporal lobe, etc.). At the same time, a visual and auditory induction training paradigm is matched, three tasks of listening to sound to group words, looking at words to group words and word association are set, and the subjects are supported to generate words independently. The system effectively solves the homonym and near homonym word ambiguity problem in Chinese spoken language recognition, and provides a precise interactive tool for ALS and other speech disorder patients.

The invention provides a Chinese spoken language intention recognition brain-computer interface system based on pronunciation-meaning integration double models, belongs to the technical field of biomedical engineering, and relates to a language brain-computer interface technology. Sound-sense integration is taken as a core, and a stereotactic intracranial electroencephalogram (sEEG) technology is adopted to acquire neural signals of a brain phonetic motion coding region and a semantic concept organization coding region. The system comprises a sound production starting decoder, a voice decoder, a semantic decoder and a Chinese word voice-semantic fusion synthesizer, and a target decoder is constructed by extracting high gamma wave band characteristics of key brain regions of frontal lobe (left subfrontal gyrus, anterior cortex of motion and the like) and temporal lobe (anterior temporal lobe, dorsal lateral temporal lobe and the like). Meanwhile, an audio-visual induction training normal form is matched, three tasks of listening word combination, character reading word combination and vocabulary association are set, and subjects are supported to autonomously generate vocabularies. The system effectively solves the problem of ambiguity of homophonous and near-phonetic words in spoken Chinese recognition, and provides an accurate interaction tool for speech disorder patients such as ALS and the like.

The utility model discloses a transcranial magnetic stimulation helmet with a focus on a frontal lobe, which relates to the technical field of transcranial magnetic stimulation and comprises a helmet, a first coil and a second coil, the first coil and the second coil are connected in series, the first coil surrounds the bottom of the helmet at intervals, and the second coil surrounds the top of the helmet at intervals. The first coil and the second coil are gathered on the right front side and / or the left front side of the helmet to form a gathering part I and a gathering part II, and the gathering part II is located on the front side of the gathering part I. According to the transcranial magnetic stimulation helmet with the focus located on the frontal lobe, the first coil and the second coil are gathered and overlapped at the frontal lobe, the intensity and the concentration ratio of an induction electric field are enhanced, and magnetic stimulation can act on the left side and the right side more accurately or act on frontal lobe areas on the two sides at the same time through the layout; meanwhile, through an air bag adjusting mechanism, the helmet can adapt to different head types, the shaking problem of the helmet is solved, and the stimulation stability and the repeated positioning accuracy are improved.

The application discloses an individualized cognitive function adjusting device based on cross-frequency coupling, which comprises a peak frequency automatic extraction module, a spectrum analysis and automatic frequency extraction are used to obtain the peak frequency of the frontal lobe theta oscillation and the parietal lobe gamma oscillation of an individual baseline as the stimulation frequency of transcranial alternating current stimulation; a target site determination module is used to automatically output the stimulation site of tACS by determining the positive and negative power values corresponding to the peak frequency between the left and right brain regions, and the stimulation equipment outputs current to the corresponding brain region according to the output stimulation site; a signal-to-noise ratio calculation module is used to adaptively output the stimulation current intensity of tACS according to the signal-to-noise ratio value at the peak frequency; and a multi-mode regulation model is used to set the peak nesting and valley nesting modes according to the cross-frequency tACS, so that the targeted regulation of cognitive function disorders such as memory, attention and emotion processing is realized.

A device for relieving dementia symptoms is disclosed. The device for relieving dementia symptoms includes a light stimulation part disposed at a location within a preset radius from an eyeball and frontal lobe of a patient and configured to relieve dementia symptoms of the patient by radiating light having a preset wavelength band to an optic nerve and frontal lobe of the patient, and a central processing unit configured to control an operation of the light stimulation part.

The application provides a tannic acid astringency perception evaluation method based on an EEG technology, and belongs to the technical field of cross of sensory evaluation and neural engineering. The method acquires the EEG signals of subjects under the stimulation of tannic acid with different concentrations through a standardized EEG data acquisition scheme, analyzes the power spectral density (PSD) of the delta band (1-4 Hz), time-frequency analysis and the neural activation characteristics of the frontal lobe region after pretreatment, and realizes the objective evaluation of the astringency intensity of tannic acid. The application solves the problems of large subjective error and non-uniform standard in the traditional tannic acid astringency evaluation, utilizes the high time resolution advantage of the EEG technology, clearly defines the positive correlation between the PSD value of the delta band and the concentration of tannic acid and the role of the frontal lobe as the core perception brain region, and provides an objective and accurate new method for the tannic acid quality evaluation in the food field.

This invention discloses a real-time cognitive load assessment system based on multimodal psychophysiological signals, relating to the field of cognitive load assessment technology. The system includes: an EEG signal acquisition module for acquiring bilateral EEG signals of the subject within a continuous sliding time window, wherein the bilateral EEG signals include at least a first EEG signal from a first brain region and a second EEG signal from a second brain region; a feature extraction module for analyzing a situational feature sequence characterizing bilateral brain activity based on the first and second EEG signals; and a system that constructs situational and synergistic features of bilateral brain activity. The situational features quantify the growth relationship between the left and right hemispheres in the allocation of cognitive resources by analyzing the fluctuation of the ratio of instantaneous power in the bilateral frontal lobes within a specific frequency band. The synergistic features avoid the problem of incomplete representation of the load state by single-dimensional features by analyzing the synchronization degree of instantaneous phase in the bilateral frontal lobes within a specific frequency band.

The present application relates to a neuromodulation device for treating hippocampus-related brain diseases. The neuromodulation device comprises a phototherapy part and a transcranial alternating current stimulation (tACS) part. The phototherapy part irradiates near-infrared light toward at least a frontal lobe or a temporal lobe, such that the near-infrared light acts on at least a part of the hippocampus. The tACS part applies tACS of a second frequency, and an electric field action range covers at least a part of the hippocampus. When the near-infrared light is continuous light, the second frequency is in one of five representative frequency bands of brain waves. When the near-infrared light is pulsed light having a first frequency, the first frequency and the second frequency also satisfy a preset frequency relationship. The preset frequency relationship comprises: a deviation being less than a threshold, or having a preset frequency band coupling relationship. Transcranial electrical stimulation can produce analgesic and relaxing effects, which can reduce the discomfort of a subject during treatment. Therefore, the treatment time can be prolonged and / or the power density of near-infrared light can be increased as needed, so as to improve the therapeutic effect. The photoelectric bimodal stimulation can improve modulation effects on endogenous oscillations of the brain.

The invention relates to an occlusion target detection method, a neural network model and a calculation program product. The method comprises the following steps: acquiring a feature matrix corresponding to a to-be-recognized image; on the basis of the feature matrix and the frontal lobe output matrix, updating the activation state of temporal lobe neurons to obtain a temporal lobe output matrix; on the basis of the temporal lobe output matrix, updating an activation state of a frontal lobe neuron to obtain a new frontal lobe output matrix; first iteration operation is executed until a first ending condition is met, the first iteration operation is stopped, a first steady-state temporal lobe neural network model is obtained, and the first iteration operation comprises updating the activation state of the temporal lobe neurons and updating the activation state of the frontal lobe neurons; and processing the to-be-recognized image based on the first steady-state temporal lobe neural network model to obtain a recognition result. According to the method provided by the embodiment of the invention, the recognition precision can be adaptively maintained when different types of shielding are faced, and the recognition accuracy and stability are enhanced.

The present invention relates to the field of transcranial magnetic stimulation (TMS) technology and, more particularly, to a multi-axis TMS positioning apparatus that supports more accurate and consistent positioning of a TMS coil and a positioning system including same. The multi-axis TMS positioning apparatus of the present invention comprises: a band unit formed to fit closely along the head circumference of a wearer; a main frame connected to the band unit in the vertical direction and extending in a curved form from the occipital side of the wearer to the vicinity of the frontal lobe; and a connection unit with one side connected to the main frame and movable in the longitudinal direction of the main frame and the other side configured to allow an applicator including a magnetic generating coil to be coupled thereto.

The application provides a deep neural network enhancement method based on brain inspiration under limited data, belongs to the technical field of deep learning, and refers to the asynchronous working mechanism of the hippocampus-frontal lobe circuit in the human brain to develop a general asynchronous learning framework. First, a given deep neural network model is divided into two small-scale submodels, and the submodels are caused to undertake the feature extraction and prediction functions of the original network respectively. Then, the submodels are used for model reconstruction to obtain the asynchronous architecture of the given deep neural network. Finally, the reconstructed model is trained by using the designed asynchronous training method, and the feature extractor and the predictor are independently optimized. The application overcomes the problems of parameter over-coupling and high dependence on a large amount of training data in the prior art without impairing the feature extraction capability of the deep neural network.

The present application provides a transcranial physical stimulation apparatus for treating diseases related to a target site of the brain. The transcranial physical stimulation apparatus at least comprises a phototherapy part and an alternating current transcranial electrical stimulation part. The phototherapy part irradiates transcranial near-infrared light onto at least a frontal lobe and a temporal lobe of the head of a subject, or irradiates transcranial near-infrared light within an irradiation range containing the target site and a peripheral brain region thereof. The alternating current transcranial electrical stimulation part comprises a first scalp electrode pair and a second scalp electrode pair. A pair of electrodes constituting the first scalp electrode pair forms an electric field of a first frequency and acts on the target site, and a pair of electrodes constituting the second scalp electrode pair forms an electric field of a second frequency and acts on the target site. The second frequency is greater than the first frequency, and the ratio of the frequency difference to the first frequency is 8% or less, and the frequency difference is within the range of 1 Hz to 80 Hz. The apparatus performs, by means of near-infrared light, comprehensive, gentle, and comfortable transcranial physical treatment on a plurality of disease-related brain regions, and performs, by means of transcranial alternating current, precise targeted treatment on a disease-related target site; the two cooperate synergistically to enable a better therapeutic effect.