39 results about "Emotional disorder" patented technology

The invention discloses an emotional disorder detection method based on a multi-modal heterogeneous graph convolutional neural network, and the method comprises the steps: collecting the electroencephalogram, expression pictures, eye movement data and gait video frame data of a subject, and aligning the data through an asynchronous time sequence cross-modal alignment and group horizontal alignment method. Thirdly, decomposing data of each mode by utilizing low-rank matrix decomposition of multi-mode characteristics, and performing alignment of different tasks with a nerve activation path; carrying out heterogeneous graph convolution channel path coding on each channel and embedding a modal; and finally carrying out lightweight cross-modal fusion on the obtained data stream. The invention further provides an emotional disorder detection device. According to the method provided by the invention, the recognition of the type of the emotional disorder is realized through the acquired multi-modal data including electroencephalogram, eye movement, micro-expression and gait information.

The invention belongs to the cross technical field of biomedical engineering and nerve regulation technology. According to the brain-heart linkage transcranial strong alternating current stimulation feedback control method and system, heart rate variability characteristics are obtained according to electroencephalogram signals, electroencephalogram signal characteristics are obtained according to the electroencephalogram signals, and a dynamic coupling index is determined according to the electroencephalogram signals and electrocardiosignals; when the heart rate variability characteristic is greater than or equal to a corresponding heart rate characteristic baseline threshold value, the electroencephalogram signal characteristic is greater than or equal to a corresponding electroencephalogram characteristic baseline threshold value, and the dynamic coupling index is greater than or equal to a set threshold value, judging that the emotional disorder is improved, and keeping the intensity of the stimulation current unchanged; otherwise, increasing the intensity of the stimulation current to a set threshold value until the emotional disorder is improved. Through combined calculation of the electroencephalogram signals and the electrocardiosignals, dynamic monitoring and accurate evaluation of the process of treating the emotional disorder through transcranial strong alternating current stimulation are achieved, and the accuracy of electrical stimulation is guaranteed.

The invention discloses an EEG (electroencephalogram) emotion recognition and emotional disorder detection method and device based on multi-task learning, equipment and a medium, and relates to the field of electroencephalogram signal emotion and emotional disorder recognition in the field of feature recognition. Allocating a corresponding expert weight to each task through a gating network, and constructing a neural network model; inputting the electroencephalogram data after the expert weight is calculated into a tower layer module in the neural network model for task classification to obtain a classification result of each task; allocating an uncertainty weight to each task in the electroencephalogram data, dynamically adjusting a task loss weight through a dynamic weighting loss function, reconstructing a neural network model, and determining an optimized neural network model; and inputting the electroencephalogram data into the optimized neural network model, and determining a task classification result, so that the problem of data scarcity is solved, shared information can be fully utilized, and emotion recognition and emotional disorder detection are realized.

An emotional disorder recognition control model acquisition method and system based on near-infrared brain imaging map characteristics, a controller and a control method, and the method comprises the following steps: step 100, fNIRS-based multi-dimensional nerve marker acquisition and analysis, step 200, an integrated handheld diagnostic device, step 300, a dual-mode high-speed intelligent analysis system, step 300, a near-infrared brain imaging map characteristic analysis system, and step 300, a near-infrared brain imaging map characteristic analysis system. And step 400, a closed-loop AI training and database iteration system realizes a link of collection-analysis-diagnosis-display by fusing technologies of signal collection, data preprocessing and normalization, characteristic parameter extraction, intelligent report display and the like, so that the transformation of mood disorder screening from subjectivity to objectivity and from experience driving to data driving is promoted, and the mood disorder screening efficiency is improved. Therefore, the embedded analysis system for the rehabilitation medical scene is provided.

The invention discloses an fNIRS adaptive feedback emotion cognition cooperative training device and method, and relates to the technical field of emotion disorder cognition training. The device comprises a data acquisition module used for acquiring an original dual-wavelength light intensity signal from a brain; the data processing module is used for performing multi-stage preprocessing on the original dual-wavelength light intensity signal; the neural feedback module is used for calculating a multi-dimensional evaluation index according to the hemoglobin concentration data and adjusting a difficulty level and a feedback threshold value of a training task by using a dynamic threshold value control algorithm; the training module is used for training participants based on the emotion stimulation task and the cognitive training task; and the evaluation module is used for performing training evaluation according to the comparison result of the comprehensive performance score and the feedback threshold. Brain function equipment is closely combined with cognitive training and emotion stimulation tasks, dynamic evaluation and real-time feedback are added for traditional tasks, and through the brain network analysis technology, accurate evaluation of the user training effect is achieved.

The invention discloses an emotional disorder assessment system and method based on eye movement features, and relates to the field of emotional disorder assessment, and the system comprises an eye movement video collection module, an eye movement feature extraction module and an emotional disorder assessment module. The eye movement video collection module collects eye movement videos when a user watches emotional disorder assessment tasks, the emotional disorder assessment tasks comprise a free watching task reflecting attention deviation degree, a staring task reflecting attention stability and anti-interference capability and an attention transfer task reflecting attention transfer efficiency, and attention characteristics of the user are reflected in multiple dimensions. The eye movement feature extraction module extracts eye movement features corresponding to each task from the eye movement video, and affection caused by subjective factors can be reduced by performing emotional disorder assessment based on objective eye movement features. The emotional disorder assessment module objectively determines an emotional disorder assessment result from multiple dimensions by using the emotional disorder assessment model and the eye movement features corresponding to the tasks, is not limited by psychological medical resources and regions, and can be applied on a large scale.

The application belongs to the technical field of biomedical engineering and neural regulation technology. A brain-heart linkage transcranial strong alternating current stimulation feedback control method and system are provided. Heart rate variability characteristics are obtained according to electroencephalogram signals, electroencephalogram signal characteristics are obtained according to the electroencephalogram signals, and a dynamic coupling index is determined according to the electroencephalogram signals and electrocardiogram signals. When the heart rate variability characteristics are greater than or equal to a corresponding heart rate characteristic baseline threshold, the electroencephalogram signal characteristics are greater than or equal to a corresponding electroencephalogram characteristic baseline threshold, and the dynamic coupling index is greater than or equal to a set threshold, it is determined that emotional disorders are improved, and the intensity of the stimulation current is unchanged. Otherwise, the intensity of the stimulation current is increased by a set threshold until the emotional disorders are improved. Through joint calculation of the electroencephalogram signals and the electrocardiogram signals, dynamic monitoring and accurate evaluation of the process of treating emotional disorders by using transcranial strong alternating current stimulation are realized, and the accuracy of the electric stimulation is ensured.

The invention relates to the technical field of traditional Chinese medicine compositions, in particular to a traditional Chinese medicine composition and application of the traditional Chinese medicine composition in preparation of drugs for improving sleep disorder and treating mood disorder or cognitive disorder. The invention provides a traditional Chinese medicine composition. The traditional Chinese medicine composition comprises the following components in parts by mass: 20-30 parts of lycium ruthenicum, 30-40 parts of nitraria fruit, 15-25 parts of gastrodia elata, 13-25 parts of hyperforin perforatum and 2-6 parts of lycopene. The traditional Chinese medicine composition provided by the invention is prepared from lycium ruthenicum, nitraria fruit, gastrodia elata, hyperforin perforatum and lycopene according to a specific ratio, and the composition can effectively relieve anxiety behaviors of chronic stress bound anxiety model mice through ways of resisting oxidation and inflammation, regulating expression of neurotransmitters and the like, prolong sleep time and improve sleep quality. The learning ability and the memory ability of cognitive impairment mice induced by scopolamine are improved, and the neuron density of brain tissues is increased, so that the neuroprotective effect is achieved.

The application discloses a use of a pharmaceutical composition of a phenolic acid compound and probiotics, and particularly relates to a combination of chlorogenic acid and lactobacillus reuteri. The combination of chlorogenic acid and lactobacillus reuteri can improve glycolipid metabolic disorder, improve cognitive dysfunction, emotional disorder and delay aging, and can be used for preparing a medicine for treating metabolic disorder combined with neuropsychiatric diseases.

The invention provides albizia flower compound essential oil with sleep aiding and depression relieving functions and a preparation method of the albizia flower compound essential oil, and relates to the technical field of aromatherapy and natural product application. The compound essential oil takes an albizia flower low-temperature two-stage extract as a core carrier and is compounded with various functional essential oil components such as bitter orange leaf essential oil, FCF bergamot essential oil and Egypt nymphaea tetragona original essence, and the compound essential oil is prepared through three core innovations of albizia flower carrier synergistic technology, multi-channel nerve regulation design and safety strengthening design. The technical problems that existing sleep-aiding essential oil is single in effect and high in potential nerve irritation and the bioavailability of albizia flower flavonoid glycoside is low are solved. Experimental verification shows that the compound essential oil can shorten the sleep latency period by 52% and reduce the anxiety score by 47%, can cooperatively regulate the GABA energy system, 5-hydroxytryptamine secretion and hypothalamus-pituitary-adrenal axis through an olfaction-nerve reflex path, realizes efficient anxiety resistance, deep sleep promotion and emotion balance, and is suitable for people with various anxiety insomnia and emotional disorder.

The application discloses a kind of fNIRS adaptive feedback emotion cognitive collaborative training device and method, it is related to emotional disorder cognitive training technical field.The device includes: data acquisition module, for obtaining original double-wavelength light intensity signal from brain;Data processing module, for the original double-wavelength light intensity signal is carried out multistage pretreatment;Neural feedback module, for calculating multidimensional evaluation index according to hemoglobin concentration data, and using dynamic threshold control algorithm adjusts the difficulty level and feedback threshold of training task;Training module, for training participant based on emotional stimulation task and cognitive training task;Evaluation module, for training evaluation according to comprehensive performance score and feedback threshold comparison result.The present application closely combines brain function equipment with cognitive training and emotional stimulation task, adds dynamic evaluation and real-time feedback to traditional task, and realizes the precise evaluation of user training effect by brain network analysis technology.

The application discloses a polypeptide GRN-E and application thereof in preparation of a medicine or preparation for perimenopausal emotional disorder. It is found for the first time that a GRN-E fragment (a C-terminal domain of PGRN, an amino acid sequence is SEQ ID NO. 1 in a sequence listing) can pass through a blood-brain barrier and has a unique effect in relieving perimenopausal anxiety and depression. As a key functional fragment, the GRN-E has a more concentrated effect on a central nervous system and can effectively avoid off-target effects of a full-length protein. The polypeptide GRN-E of the application can be applied to preparation of a medicine or preparation for perimenopausal emotional disorder as an innovative treatment target and a novel biological preparation and has a high clinical conversion value.

The application discloses an application of NOD2 antagonist 1 in preparation of a medicine for preventing or treating depression, and belongs to the technical field of medicines. Specifically, the application relates to an application of a compound NOD2 antagonist 1 in preparation of a medicine for preventing or treating depression. The CAS registration number of the compound NOD2 antagonist 1 is 2411441-54-6. The application discloses a brand-new medicinal use of NOD2 antagonist 1, that is, the compound can be used for preparing a medicine for preventing or treating depression. Animal experiment results show that after intervention of NOD2 antagonist 1, the sucrose preference behavior of a depression model mouse is obviously improved, and depression-related emotional disorder performance is also obviously relieved. Based on the pharmacodynamic verification results, the technical scheme provided by the application has good clinical transformation and popularization and application prospects.

This invention discloses a full-spectrum emotion recognition system integrating biosignals and behavioral features, belonging to the field of emotion recognition technology. The system includes the following steps: S1, data acquisition; S2, data preprocessing; S3, emotion feature fusion; S4, emotion analysis and output; S5, full-spectrum adaptation. This full-spectrum emotion recognition system integrates biosignals and behavioral features to achieve full-spectrum emotion recognition, ranging from common emotional distress to severe emotional disorders. By integrating multi-dimensional data of biosignals and behavioral features, and based on scientific classification standards, it accurately distinguishes children with different degrees of emotional problems, allowing each group to receive appropriate intervention. This precise classification avoids the blindness of intervention measures, providing basic regulatory support for children with common emotional distress and securing timely intervention opportunities for children with severe emotional disorders. It comprehensively meets the emotional management needs of different children and promotes their healthy emotional development.

The invention relates to the technical field of emotional disorder recognition, and particularly discloses an emotional disorder recognition method and system based on electroencephalogram characteristics. According to the method, an emotional disorder recognition model is constructed; the method comprises the following steps: collecting polymorphic electroencephalogram signals of a target patient, and preprocessing the polymorphic electroencephalogram signals; performing time domain, frequency domain and time frequency feature extraction on the standard electroencephalogram signal; performing importance analysis and arrangement on the spectrum feature data, and screening key feature data from the spectrum feature data; and importing the key feature data into an emotional disorder recognition model, outputting emotional disorder level information, and sending the emotional disorder level information to a mobile terminal of the target patient. According to the method, the polymorphic electroencephalogram signals of the target patient can be collected, pre-processed, subjected to feature extraction and feature screening and imported into the constructed emotional disorder recognition model to obtain the emotional disorder level information, the electroencephalogram signals can be applied to emotional disorder recognition, the recognition precision of the emotional disorder is improved, and the situation of missed diagnosis or misdiagnosis is effectively avoided.

The present invention relates to a customized emotional disorder improving content providing system using knowledge tracing and reinforcement learning, capable of providing a therapeutic agent more suitable for a user as the user utilizes the system more, by using a knowledge tracing algorithm.

The application relates to an eye movement tracking method and an eye movement tracking device. The method builds an eye movement tracking system of a human eye, collects a fixation point of the human eye in real time, and calculates a trajectory graph and a hotspot graph of the fixation point of the human eye when observing an object. According to the result, the key points of attention and the key parts of interest of the human eye when browsing the external object are evaluated. The application can be used not only for improving and adjusting the product design style, but also for adapting to the subjective feelings of the public and attracting the eyeballs of the audience. Meanwhile, the application can also be used for evaluating the emotions and fatigue states of the human eye and clinically treating emotional disorders in the field of nerves.

The invention provides an application of combined use of radix curcumae essential oil and rhizoma cyperi essential oil in preparation of a preparation with an effect of improving liver depression type insomnia, anxiety or depression, and the weight ratio of the radix curcumae essential oil to the rhizoma cyperi essential oil is as follows: 0.25-1.0 part of the radix curcumae essential oil and 0.50-2.0 parts of the rhizoma cyperi essential oil. The invention further provides an essential oil composition with the effect of improving liver depression type insomnia, anxiety or depression. The invention discloses an essential oil composition for treating liver depression type insomnia, anxiety and depression, which is not only a treatment means, but also an effective prevention and daily health care method, is quick and obvious in effect, and provides a precious choice for comprehensive management of emotional diseases and mental and physical health maintenance.

The invention relates to the technical field of biological fermentation and functional food, in particular to a tryptophan-enriched pine pollen fermentation product as well as a preparation method and application thereof. The pollen pini is subjected to low-temperature microjet wall breaking treatment, a poria cocos extract is combined to construct a semi-solid fermentation system, and composite strains are inoculated for synergistic fermentation. Tryptophan enrichment is completed in the fermentation process, vitamin B6 is synthesized through microbial metabolism, the abundance of bifidobacteria generated through fermentation is improved, and the emotional state is remarkably improved through an intestine-brain axis two-way signal channel. The obtained fermentation product can be made into functional food such as soft sweets and solid beverages, magnesium and saffron crocus extract or GABA are supplemented to enhance the emotion regulation effect, and the food is suitable for diet intervention of people with anxiety and emotional disorder.

The application discloses application of MRS2578 in preparation of a medicine for preventing or treating depression and belongs to the field of medicines. The CAS registration number of the MRS2578 is 711019-86-2. The application discloses a new application of MRS2578, i.e. the application of the compound in preparation of a medicine for preventing or treating depression. Experimental researches show that after the MRS2578 is given, the sucrose preference degree of model mice is improved to a certain extent, and the emotional disorder behavior of the model mice is significantly reduced. Based on the above pharmacological results, the technical scheme provided by the application has a good clinical popularization and application prospect.

The present invention features methods and compositions for the treatment of an emotional disorder in a subject by administering ketamine, norketamine, 6-hydroxynorketamine, or a pharmaceutically acceptable salt thereof, and cannabis or a cannabinoid in an amount that is sufficient to treat the emotional disorder.

The invention discloses a traditional Chinese medicine composition for treating depression and a preparation method thereof. The invention relates to the field of traditional Chinese medicine compositions, in particular to an edible and medicinal traditional Chinese medicine composition for preventing and treating depression as well as a preparation method and application thereof. Comprising rose flowers, peony flowers, seville orange flowers, dendrobium flowers and sanchi flowers. The traditional Chinese medicine composition provided by the invention can improve symptoms such as depression, mood disorder and schizophrenia body weight loss, pleasant sensation loss and the like, protect neurons and improve the levels of 5-HT and DA in serum, is good in safety, provides a new edible and medicinal scheme for prevention and treatment of depression, and has a relatively good application prospect.

The application belongs to the technical field of image recognition, and particularly relates to an emotion disorder auxiliary diagnosis system based on attention analysis and micro-expression recognition. The system comprises: a data acquisition module for acquiring and / or inputting a video; an attention analysis module for analyzing the attention of a subject according to the blinking and face positioning success rate of the subject in the video, and further obtaining a judgment of whether the video can be used for subsequent auxiliary diagnosis; and an auxiliary diagnosis module for performing micro-expression recognition on the video determined as usable, and obtaining a micro-expression recognition result for emotion disorder auxiliary diagnosis. The application firstly uses attention analysis to screen video data with auxiliary diagnosis value, and further performs micro-expression recognition on the video data, thereby improving the reliability of the video data for auxiliary diagnosis, and further improving the accuracy of the subsequent auxiliary diagnosis process, and having a good application prospect.

The invention discloses application of a nutritional composition to improvement of anxiety and memory ability, and belongs to the field of nutrient substance research. According to the nutritional composition containing the lactose-N-neotetraose and the 2 '-fucosyllactose provided by the invention, through the synergistic effect of the lactose-N-neotetraose and the 2'-fucosyllactose, the mood disorder and the reduction of memory and recognition ability can be improved, and the mood disorder and the reduction of memory and recognition ability are caused by maternal immune abnormal activation. Furthermore, the composition can improve the activity of neurons by inhibiting the transition activation of brain microglial cells, and help is provided for improving mood disorder and memory and recognition ability decline. A new thought is provided for development of products for improving offspring emotional disorder and memory and recognition ability decline caused by maternal immune activation.

The invention discloses application of allyl isothiocyanate in preparation of drugs or health-care foods for improving mental disorder, and belongs to the technical field of medicines. Allyl isothiocyanate shows rapid, convenient and efficient intervention potential for depression, emotional disorder, social difficulty, biphasic emotional fluctuation, anxiety and autism spectrum symptoms when used as a functional component of a medicine or health food. Specific experiments verify that in a depression model constructed by adopting social contusion stress, the component can obviously reverse typical depression-like behaviors such as social avoidance tendency and behavioral despair states shown by mice. In a chronic unpredictable stress induced model, allyl isothiocyanate effectively relieves anxiety and depression symptoms of mice and recovers pleasant sensation experience ability of the mice. In a drug-induced bipolar affective disorder model, the component obviously stabilizes the manic attack and depression alternating behavior of mice. In an autism model mouse, the allyl isothiocyanate effectively relieves the repetitive engraving behavior of the autism model mouse.

The application belongs to the technical field of pharmaceutical preparations, and specifically discloses an acetyl gastrodin transdermal patch and a preparation method thereof. The transdermal patch takes acetyl gastrodin as an effective component, is encapsulated in cubic phase liposomes composed of glycerol monostearate, cholesterol and Pluronic F127, is dispersed in a complex matrix of hydroxypropyl methyl cellulose and ethyl cellulose, and is matched with a complex transdermal enhancer of glyceryl caprylate / caprate and ethanol. In the preparation, the liposome material is first melted to load the drug, and then drug-loaded cubic phase liposomes are formed through ice water bath ultrasonic treatment. Then, the drug-loaded cubic phase liposomes are mixed with the polymer matrix and excipients, are defoamed, are coated, and are dried in two steps to be shaped. The cubic phase liposomes are used to significantly improve the drug penetration rate and stability, realize 24-hour smooth drug release, efficiently penetrate the skin and the blood-brain barrier, significantly inhibit non-small cell lung cancer brain metastases, improve tumor secondary anxiety and depression, have excellent skin compatibility, and provide a new non-invasive synergistic treatment scheme for brain tumors and concurrent emotional disorders.

The invention discloses equipment for preparing ointment, and particularly relates to depression-relieving and mind-tranquilizing ointment and a preparation method thereof. The depression-relieving and mind-tranquilizing ointment comprises the following Chinese herbal medicine components: 5-7 parts of radix bupleuri; 10 to 20 parts of semen ziziphi spinosae; 5 to 10 parts of polygala tenuifolia; 3-5 parts of licorice root; 5 to 10 parts of rhizoma cyperi; 5-7 parts of radix curcumae; 3-10 parts of rhizoma acori graminei; 5-7 parts of schisandra chinensis; 1-6 parts of salvia miltiorrhiza; 5-15 parts of light wheat; 4-6 parts of fingered citron; 3-7 parts of rose flower; 1-5 parts of ganoderma lucidum; and 1-3 parts of lotus plumule. In the formula design, four core medicinal materials of radix bupleuri, spina date seed, polygala tenuifolia and liquorice are reserved to ensure the basic effects of soothing liver-qi stagnation and tranquilizing mind by nourishing the heart, and other medicinal materials are components which are supported by modern pharmacological research and have strong compatibility synergy, such as rhizoma cyperi, radix curcumae, rhizoma acori graminei, schisandra chinensis, salvia miltiorrhiza, light wheat, fingered citron, rose, lucid ganoderma and lotus plumule. The multi-target effect of the whole prescription on the aspects of adjusting emotion, improving sleep and relieving anxiety is enhanced, and the traditional Chinese medicine composition is particularly suitable for sub-health people with mild and moderate emotional disorder.

The invention provides an affective disorder recognition method and system based on an asynchronous brain network, and the method comprises the steps: carrying out the non-uniform EEG sampling, obtaining an asynchronous electroencephalogram signal, carrying out the resampling, carrying out the preprocessing of the asynchronous electroencephalogram signal, and obtaining an aligned and standardized signal segment X = {Xik}; performing feature extraction on the aligned and standardized signal segments to obtain asynchronous topological features and channel time domain features of the signal segments; converting the asynchronous topological features and the channel time domain features of the signal segments into a unified format, and fusing to obtain unified space-time fusion features; constructing a preliminary affective disorder recognition model; and utilizing the optimal affective disorder model to predict the affective disorder state, and performing visual analysis. According to the affective disorder recognition method and system based on the asynchronous brain network, the accuracy of early judgment of affective disorders is remarkably improved.

The application discloses a target strategy and a drug intervention method for improving Primrose syndrome, and belongs to the technical field of biological medicine. The experiment proves that Momordin Ic can significantly improve the SUMO level of ZBTB20 in vitro cells or Primrose syndrome (PS) mice, can effectively improve the defects of reduced neuron dendritic branching in the hippocampal CA1 region of the PS mice in pathology, can enhance the complexity, and can improve the cognitive and emotional disorders such as memory impairment and anxiety-like behavior of the PS mice to different degrees in behavior. The application discloses that Momordin Ic can improve the PS-related neuropathological changes and behavioral cognitive defects by targeting the SENP1-ZBTB20-SUMO pathway, and provides a new candidate molecule and a clear action target for developing potential therapeutic drugs for Primrose syndrome.

The application discloses application of allyl isothiocyanate in preparation of a medicine for improving mental disorders and belongs to the technical field of medicines. The application of allyl isothiocyanate in preparation of a medicine for improving mental disorders has a rapid, convenient and efficient intervention potential for depression, emotional disorder, social difficulty, bipolar emotional fluctuation, anxiety and autism spectrum symptoms. Specific experimental verification: in a depression model constructed by using social frustration stress, the component can obviously reverse typical depression-like behaviors of the mouse, such as social avoidance tendency and behavior despair state. In a model induced by chronic unpredictable stress, allyl isothiocyanate effectively relieves anxiety and depression symptoms of the mouse and restores the hedonic experience ability of the mouse. In a medicine-induced bipolar affective disorder model, the component significantly suppresses the mania onset and depression alternating behavior of the mouse. In a mouse model of autism, allyl isothiocyanate effectively relieves the repetitive stereotyped behavior of the mouse.