374 results about "Insomnia" patented technology

The invention provides a transcranial stimulation control method, a transcranial stimulation control system and a computer readable storage medium, and the method comprises the steps: collecting an electroencephalogram parameter signal, and converting the electroencephalogram parameter signal into an electroencephalogram feature vector; inputting the electroencephalogram feature vector into a large language model, obtaining an initial electrical stimulation signal corresponding to the electroencephalogram feature vector from a stimulation electroencephalogram knowledge model according to the electroencephalogram feature vector, and generating an initial electrical stimulation signal scheme; the initial electrical stimulation signal is optimized through an attention mechanism according to historical response data of a user, a final electrical stimulation signal scheme is output, and the historical response data of the user comprises a historical electrical stimulation signal scheme and user feedback information; and outputting the final electrical stimulation signal scheme to a transcranial stimulation module. The method can improve the insomnia treatment efficiency of the user.

The invention discloses a multi-source confidence perception insomnia intelligent prescription recommendation method, a medium and equipment, and aims to solve the problem of low recommendation accuracy caused by insufficient multi-source heterogeneous data fusion, single feature representation and missing prediction confidence in the prior art. The method comprises the following steps: coding patient symptoms into a sparse binary matrix; extracting a symptom-traditional Chinese medicine prescription matrix and a symptom-symptom type matrix from the traditional Chinese medicine knowledge map; generating symptom-guided traditional Chinese medicine features and symptom type features through a double-layer graph convolutional neural network; calculating the prediction distribution probability of the traditional Chinese medicine prescriptions and syndromes; based on an energy function, quantifying uncertainty scores of the two; the multi-source probability is dynamically weighted and fused to improve the weight of a high-confidence result; and finally, outputting recommended prescriptions and syndrome type sequences. The accuracy and interpretability of insomnia prescription recommendation are remarkably improved through isomeric map modeling and multi-source confidence fusion, and the method is suitable for a traditional Chinese medicine clinical auxiliary decision making system.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

The invention discloses a compound composition for improving sleep disorders, which is characterized by comprising the following components: an inhibitory neurotransmitter component, melatonin and a nano-lipid carrier, the nano-lipid carrier comprises phospholipid and cholesterol, the weight ratio of phospholipid to cholesterol is (1-6): 1, the weight ratio of phospholipid to cholesterol is (1-6): 1, and the weight ratio of melatonin to cholesterol is (1-6): 1. The inhibitory neurotransmitter component is wrapped in the nano-lipid carrier to form lipid nanoparticles, and the weight ratio of the inhibitory neurotransmitter component to the nano-lipid carrier is 1: (1-15). The compound composition can be prepared into a compound oral mucosa preparation, can be rapidly disintegrated when encountering saliva in the oral cavity, is good in patient compliance and small in side effect, all the components play a synergistic effect from different mechanisms through multiple target points, and the compound oral mucosa preparation can improve the sleep quality, prolong the sleep time and shorten the sleep latency; and patients with sleep disorders are helped to improve insomnia from the pathologic root.

The invention discloses a sleep aiding method and system based on brain wave data, and the method comprises the steps: synchronously collecting brain waves, electrocardiosignals, environmental noise and user voice data through a flexible electrode array, constructing a multi-mode causal graph, and dynamically recognizing the type of a noise source (electromagnetic interference or psychological noise); the method comprises the following steps of: generating a target antagonistic intervention signal (such as reverse sound wave counteracting electromagnetic noise and binaural rhythm relieving psychological pressure) according to the target antagonistic intervention signal, generating dynamically adaptive light pulse and tactile vibration parameters in combination with a psychological-physiological collaborative model, and synchronously outputting sound, light and tactile intervention signals through a multi-modal actuator. Through causal reasoning and multi-sensory cooperative regulation and control technologies, accurate inhibition of noise interference and personalized induction of the sleep state are realized, the sleep time is remarkably shortened, the deep sleep duration is prolonged, and the method is particularly suitable for complex noise environments and anxiety-related insomnia scenes.

The embodiment of the invention discloses a sleep diagnosis method, device and equipment based on a breathing machine, and belongs to the technical field of sleep diagnose.The breathing machine comprises an electroencephalogram monitoring unit, an electro-oculogram monitoring unit and an electrocardio monitoring unit, and the method comprises the steps that electroencephalogram information is obtained through the electroencephalogram monitoring unit; through the electro-oculogram monitoring unit, electro-oculogram information is obtained; eCG information is obtained through an ECG monitoring unit; based on the electroencephalogram information, the electro-oculogram information and the electrocardio information, performing insomnia type diagnosis by combining user input information obtained based on ISI, and determining an insomnia type; and adding the OSA obstructive sleep apnea severity in the insomnia type, and generating a sleep diagnosis report. According to the method and the device, the accuracy of the insomnia type is improved, the timeliness of insomnia type diagnosis is improved, the insomnia type diagnosis is combined with the user experience, the accuracy of the insomnia type diagnosis is further improved, and the accuracy of a sleep diagnosis report is improved.

The invention discloses a multi-modal traditional Chinese medicine insomnia differentiation method based on multi-task deep learning, which comprises the following steps: S1, collecting tongue images and clinical text symptoms of an insomnia patient, and respectively constructing a data set I and a data set II; s2, based on the data set I and the data set II, constructing and training a multi-mode traditional Chinese medicine insomnia differentiation model; and S3, inputting the standardized tongue picture image and the structured symptom vector of the patient into the multi-mode traditional Chinese medicine insomnia dialectical model to obtain a nine-classification result matched with the traditional Chinese medicine insomnia type. According to the method, tongue body segmentation, cross-modal representation construction, quality perception fusion and multi-task prediction can be automatically completed in actual deployment, and probability distribution of nine types of symptoms and a final conclusion are output on a symptom task.

The invention provides a formula of sleep-aiding essential oil containing cedar himalaya, relates to the technical field of sleep-aiding essential oil, and aims to solve the problems of single effect, poor stability and insufficient skin tolerance of existing sleep-aiding essential oil. The formula comprises the following components in parts by weight: 0.5-5 parts of Himalaya cedar essential oil, 80-95 parts of base oil, 1-10 parts of synergistic sleep-aiding essential oil, at least one of lavender essential oil, chamomile essential oil and sandalwood essential oil, and 0.1-1 part of optional antioxidant. During preparation, the components are ensured to be uniform through a process of stirring at a constant temperature of 25-35 DEG C and mixing at a rotating speed of 200-300rpm, the pH value of the product is 5.5-7.0, the retention rate of the active components is greater than or equal to 90% after the product is stored in a dark place at 25 DEG C for 6 months, and the use mode is that the product is smeared on wrists / necks / soles 1-2 hours before sleep, and 0.5-2mL of the product is smeared on each time. Tests show that the sleep time of insomnia people can be shortened to 15-22 min after the essential oil is continuously used for 28 days, the PSQI score is reduced by 40%-54%, the skin irritation is zero, the essential oil is suitable for preparing external sleep-aiding essential oil cream, ball bottles and other products, and a safe and efficient solution is provided for sleep disorder people.

The invention discloses a plant lactobacillus and application thereof in preparation of gamma-aminobutyric acid and improvement of sleep, and relates to the technical field of biology. According to the present invention, the plant lactobacillus XBMU-SN-23 has been preserved in the China General Microbiological Culture Collection Center (CGMCC) on December 19, 2025, and the preservation number is CGMCC No.37118. The present invention further provides applications of the plant lactobacillus XBMU-SN-23 in gamma-aminobutyric acid preparation and sleep improvement. A metabolite of the strain XBMU-SN-23 has a sleep aiding function, and can regulate and control a neurotransmitter system to improve sleep quality by up-regulating GABA, 5-HT, IL-1 and MT, down-regulating Glu and DA and regulating protein quantity expression of a 5-HT1A receptor, a GABAAR alpha 1 receptor and a GABAAR gamma 2 receptor. Therefore, the plant lactobacillus XBMU-SN-23 has a wide application prospect in the product for preventing or treating insomnia.

The invention relates to an insomnia diagnosis and typing method based on multi-modal signal fusion, which comprises the following steps of: acquiring multi-source physiological signals of a testee during a rest period at night to construct a multi-modal information source during a sleep period; performing rhythm recognition and consistency judgment on the collected signals, calculating the rhythm change trend of each modal signal in a preset time window, and determining whether a signal fragment with physiological rhythm synchronization imbalance exists or not according to the rhythm collaboration among modals; performing inter-modal logic consistency analysis on the rhythm anomaly signal segments, identifying contradictory states of different modals in the same time window, and marking the contradictory states as modal conflict nodes; extracting an activation sequence of each modal signal according to a sequential relationship of the conflict nodes so as to determine a dominant modal of the insomnia behavior; analyzing a state transition behavior of the multi-mode signal through a sliding time window, identifying a nonlinear fracture section of a sleep state, and determining an insomnia occurrence time section and jump characteristics in combination with a mode activation sequence so as to realize insomnia diagnosis and typing judgment.

The invention discloses application of lycium ruthenicum polysaccharide and a medicine or health food for improving sleep, the lycium ruthenicum polysaccharide is used as a product for improving sleep, and the lycium ruthenicum polysaccharide has no tolerance while improving sleep and has high safety. Besides, as a natural traditional Chinese medicine extract, lycium ruthenicum polysaccharide is safe and green in source, small in side effect, capable of regulating the body in multiple aspects and suitable for long-term administration, has the prospect of being developed into products for improving sleep, provides more choices for improving insomnia clinically, and has important social benefits and economic values.

Provided are systems, methods, and devices for providing mediation or alleviation of sleep disorders and insomnia. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with sleeping disorders and insomnia. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the sleeping disorder or insomnia. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.

The invention discloses a traditional Chinese medicine compound preparation for treating insomnia and a preparation method thereof, the traditional Chinese medicine compound preparation is prepared from the following raw materials or alcohol and water of the following raw materials or water extract or honey-processed paste: 15-30g of lily, 15-30g of lucid ganoderma, 15-90g of vine of multiflower knotweed, 30-60g of cortex albiziae, 30-60g of nacre mother of pearl, 6-15g of coptis chinensis, 15-30g of spina date seed, 30-60g of poria with hostwood, 6-15g of polygala tenuifolia and 30-60g of magnetite. The preparation method comprises the following steps: uniformly mixing 30-60 g of lapis chloriti, 30-60 g of ligusticum wallichii, 10-15 g of schisandra chinensis, 3-10 g of cinnamon, 15-30 g of salvia miltiorrhiza, 30-60 g of oyster, 15-30 g of platycladi seed, 15-30 g of corydalis tuber and 15-30 g of rhizoma anemarrhenae with alcohol or water or refining honey to prepare paste, and preparing the paste into a required dosage form. The traditional Chinese medicine composition has the beneficial effects that after scientific and reasonable compatibility and preparation, the medicine effect has a synergistic effect, and the traditional Chinese medicine composition has the effects of nourishing yin, clearing heat, calming the heart and soothing the nerves and is used for treating insomnia caused by fire excess from yin deficiency and liver depression.

The device (1) is used to determine insomnia in a patient (8). It has a sensor unit (2) for recording at least one EEG measurement signal of a brain wave of the patient (8) and a control and evaluation unit (3) for evaluating the recorded EEG measurement signal. The control and evaluation unit (3) is configured to carry out an objective assessment routine and in doing so, for the subsequent recording of the EEG measurement signal, to give the patient (8) a stipulation to open his eyes for the duration of an eyes-open period and to close his eyes for the duration of an eyes-closed period, and then to initiate the recording of the EEG measurement signal during at least one eyes-open period and during at least one eyes-closed period. The control and evaluation unit (3) is further configured to perform an evaluation of the EEG measurement signal thus recorded and in doing so to extract from the EEG measurement signal at least one first partial measurement signal from the at least one eyes-open period and at least one second partial measurement signal from the at least one eyes-closed period, and to decide on the presence of insomnia if the at least one second partial measurement signal from the at least one eyes-closed period has a lower proportion of α waves than in a healthy individual.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

A Peripheral Nerve Stimulation (PNS) system and method are disclosed. The system includes a headset with ear hooks and electrodes for placement on the mastoid processes. A stimulation device connected to the headset via lead wires delivers a pulsed electrical current to the electrodes. The device communicates with a computing device equipped with a mobile application that controls the stimulation characteristics. The mobile application allows users to adjust settings, monitor progress, and access treatment sessions. The system also includes snap ports for electrode attachment, self-adhesive hydrogel electrodes, and current control mechanisms using a digital potentiometer and waveform generator. The method includes pre- and post-session anxiety rating, personalized treatment based on user inputs, and tracking of physiological biomarkers. The application supports multiple operating systems, secure cloud data storage, and enables data sharing with healthcare providers. The invention provides a comprehensive, customizable, safe solution for managing anxiety and insomnia.

The invention provides a sleep disorder animal model device and an experiment method, the sleep disorder animal model device comprises an experiment box, the experiment box is internally provided with grid division boxes in grid distribution, and the sleep disorder animal model device integrates a liftable auxiliary box body, a cover plate mechanism capable of amplitude modulation and jittering and a sound, light, vibration and tactile stimulation module; complex stimulation close to insomnia inducements of real human beings can be applied in a staged and combined mode, the problem of strong stress caused by a traditional single stimulation model is effectively solved, and the clinical goodness of fit of an animal model is remarkably improved. Meanwhile, based on intelligent management of a central control system, real-time non-invasive monitoring of animal behaviors and sleep states is achieved by fusing camera visual analysis, pressure sensing and wireless physiological telemetry technologies, execution units are automatically and accurately regulated according to the real-time non-invasive monitoring, standardization and repeatability of the experimental process are ensured, and the experimental efficiency is improved. And the construction efficiency and the evaluation reliability of the sleep disorder animal model are improved.

The invention relates to a traditional Chinese medicine pillow with orifice opening and nerve soothing functions and a preparation method thereof, in particular to a medicine pillow with chrysanthemum and wild chrysanthemum as main active ingredients. The medicine pillow is prepared from 300-600 parts of chrysanthemum, 20-70 parts of honeysuckle, 10-30 parts of asarum and optional auxiliary materials such as mint and centipeda minima according to a specific proportion through the steps of cleaning, smashing into particles of 13 mm, scientific compatibility and packaging. Through the synergistic effect of the chrysanthemum and the wild chrysanthemum flower and in cooperation with volatile components of other medicinal materials, the rhinitis, headache, insomnia and other diseases can be effectively relieved, and meanwhile the effects of refreshing air and adjusting sleep are achieved. The outer cover of the medicine pillow is made of breathable cotton cloth and filled with standardized medicine bags, the medicine is replaced every two months, and the continuous curative effect is ensured.

The invention discloses a hypnotic traditional Chinese medicine pillow based on traditional Chinese medicine theory and ergonomics and a traditional Chinese medicine formula in the pillow, and particularly relates to the technical field of hypnotic traditional Chinese medicine pillows.The hypnotic traditional Chinese medicine pillow comprises a pillow inner body and detachable medicine bags, the detachable medicine bags are symmetrically arranged on the left side and the right side of the pillow inner body, and the detachable medicine bags are filled with traditional Chinese medicine mixtures; the traditional Chinese medicine mixture is prepared from the following raw materials in parts by weight: 1 part of rhizoma atractylodis, 1 part of rhizoma acori graminei, 0.5 part of radix angelicae, 1 part of wormwood, 1 part of rhizoma cyperi and 0.2 part of rhizoma kaempferiae. The components complement and cooperate in pharmacological action to jointly enhance the effects of tranquilizing and allaying excitement and improving sleep, the sleeping effect is improved in cooperation with a specific micronization treatment and low-temperature crushing process, and the traditional Chinese medicine sleeping effect is improved through deep integration of the traditional Chinese medicine sleeping theory, ergonomic design and a modern preparation process. The nerve soothing effect of traditional Chinese medicine and cervical vertebra comfortable supporting form a superimposed effect, and multi-dimensional upgrading from a single sleeping function to stable medicine effect, comfortable use and convenient maintenance is achieved.

The invention discloses a dynamic frequency modulation playing control method and system for treating insomnia through chime music, and relates to the technical field of music, and the key points of the technical scheme comprise the following steps: obtaining historical insomnia treatment record data matched with a current target insomnia patient, constructing a first frequency modulation mapping model, a second frequency modulation mapping model and a chime music treatment effect evaluation model based on the historical insomnia treatment record data; playing initial chime music for the current target insomnia patient, and collecting real-time brain wave rhythm data of the current target insomnia patient in a preprocessing monitoring period of a preset brain wave rhythm monitoring interval period; inputting the real-time brain wave rhythm data into a chime music treatment effect evaluation model to obtain an initial treatment effect evaluation result; the traditional Chinese medicine composition can effectively improve the insomnia treatment effect.

The invention belongs to the field of traditional Chinese medicines, and provides application of a valerian extract in preparation of a medicine for preventing and treating climacteric syndrome. Pharmacological experiments show that the valerian extract has a regulation effect on a hypothalamic-pituitary-neuroendocrine system, and has important significance in regulating postmenopausal endocrine conditions of middle-aged and old women and improving anxiety, insomnia, dysphoria and other climacteric symptoms related to FSH (follicle stimulating hormone) and LH (luteinizing hormone). In addition, the valerian extract has a good regulation effect on secretion of related sex hormones and hypothalamus neurotransmitters of climacteric rats, and has a certain correction effect on the central monoamine neurotransmitter disorder state of the climacteric rats. The traditional Chinese medicine composition can improve clinical symptoms of climacteric syndrome.

The invention discloses application of selfheal total phenolic acid in preparation of a medicine for improving an insomnia sleep structure. The spica prunellae total phenolic acid can effectively shorten the awakening duration, remarkably prolong the rapid eye movement sleep duration, improve the sleep continuity and the like to prolong the total sleep duration and adjust the sleep structure, so that the autonomous activity state and the learning and exploration ability of a patient are recovered. After the total phenolic acid of prunella vulgaris is used for treating insomnia, the sleep duration is gradually prolonged, and no abstinence reaction is generated.

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 invention relates to the field of traditional Chinese medicine bag raw material treatment, in particular to sleep improving product production equipment and a production process thereof, and the sleep improving product production equipment comprises a spline center shaft, a center plate, movable partition plates and the like. According to the production process of the product for improving sleep, production equipment for the product for improving sleep is used, and various traditional Chinese medicines with the effects of calming the nerves and treating insomnia, such as poria cocos, astragalus membranaceus, longan aril, spina date seeds, fructus amomi, codonopsis pilosula, donkey-hide gelatin, liquorice, ginger, Chinese dates, lily, lotus seeds and gamma-aminobutyric acid, can be respectively cleaned and dried; according to the production equipment for the sleep improving product, the telescopic clamping sleeve can achieve the appropriate cleaning effect on different traditional Chinese medicines, and the traditional Chinese medicines can be spin-dried. The defect that in the traditional Chinese medicine bag raw material treatment process, traditional Chinese medicine is difficult to clean and treat due to different materials and physical characteristics is overcome.

A scent dispenser / absorber includes a container, an invertible lid reversibly attached to an open end of the container, a vented cage, and a scent cartridge housed within the cage. In an “off” condition or state, the scent cartridge / cage combination is received in an interior chamber of the container, where the scent cartridge is out of communication with the surrounding environment and therefore incapable of performing scent dispensing function. The scent dispenser / absorber can be switched to an “on” condition or state by manually inverting the lid and, in some cases, the associated cage / scent cartridge combination, such that the scent cartridge can be positioned externally of the container, where it can communicate with the surrounding (i.e., external) environment to perform methods useful for attracting game, calming pets, medical diagnostics, aroma and insomnia therapy, and dieting.

The invention belongs to the technical field of sleep health, and particularly relates to a federal generation type AI offline personalized sleep-aiding music synthesis system. The system comprises a multi-mode physiological signal offline acquisition and preprocessing module, a federated learning driven offline sleep-music mapping model training module, a generative AI offline sleep-aiding music synthesis module and an offline music library updating and adaptation optimization module. The multi-mode physiological signal offline acquisition and preprocessing module is used for acquiring user sleep physiological data offline and performing local preprocessing to generate a user sleep physiological feature packet; and the federated learning driven offline sleep-music mapping model training module adopts an offline federated mode to train a global sleep-music mapping model. The method does not need real-time networking, is adaptive to portable equipment such as a mobile phone and an intelligent bracelet, can averagely shorten the sleep time, reduces the number of times of awakening at night, is suitable for household insomnia intervention, travel sleep aiding and other scenes, and gives consideration to privacy safety, personalized accuracy and hearing comfort.

This invention discloses a low-allergen compound oral liquid for middle-aged and elderly people that protects the liver, stabilizes blood pressure, blood sugar, and blood lipids, combats aging, aids sleep, and prevents Alzheimer's disease. It belongs to the field of food and medicine homology health food technology. The invention uses kudzu root extract, Japanese raisin tree fruit extract, mulberry leaf extract, jujube seed saponins, Acer truncatum seed oil (nervonic acid), blueberry anthocyanins, bitter melon small molecule peptides, wolfberry polysaccharides, γ-aminobutyric acid, and chrysanthemum flavonoids as core active ingredients, refined with a prebiotic system. This invention achieves comprehensive conditioning effects for middle-aged and elderly people through the synergistic action of five pathways: liver protection and metabolism, vascular regulation, anti-oxidation and anti-aging, nerve calming, and brain nerve repair. It simultaneously nourishes and protects the liver, stabilizes blood pressure, blood sugar, and blood lipids, delays aging, improves intractable insomnia, enhances memory, slows brain atrophy, and prevents Alzheimer's disease. This formula strictly avoids eight common allergens, is pure and mild, and contains no irritating additives, making it suitable for long-term use by middle-aged and elderly people with weak constitutions. This product is an oral liquid formulation, with small molecule extraction, strong permeability, rapid absorption, low gastrointestinal burden, stable production process, and high safety. It has extremely high clinical promotion value and industrialization prospects.

The present invention discloses a compound of formula (I); specifically, the invention relates to a compound shown as a formula (I) or pharmaceutically acceptable salt, stereoisomer, prodrug, deuterated derivative or solvate, and application of the compounds in drugs for treating or preventing pain, gout, epilepsy, insomnia, anxiety disorder, depression, Parkinson's syndrome and other related diseases.

The current invention is in the field of molecular biology / pharmacology and provides novel 3-oxabicyclo[3.3.1]nonene compounds and derivatives that modulate the effects of the classical estrogen receptors alpha and beta (ERalpha and ERbeta) with little to no biological or physiological effects on the G protein-coupled estrogen receptor GPER (also known as GPR30). These compounds may function as agonists and / or antagonists of one or more of the disclosed classical estrogen receptors. Diseases that are mediated through one or more of these receptors include cancer (including but not limited to breast (particularly endocrine or anti-hormone resistant, and for the prevention / reduction of endocrine or anti-hormone resistance), reproductive and other hormone-dependent cancers, leukemia, colon cancer, prostate cancer), reproductive (genito-urological) including endometritis, prostatitis, polycystic ovarian syndrome, bladder control, hormone-related disorders, hearing disorders, cardiovascular conditions including hot flashes and profuse sweating, hypertension, stroke, obesity, osteoporosis, hematologic diseases, vascular diseases or conditions such as venous thrombosis, atherosclerosis, among numerous others and disorders of the central and peripheral nervous system, including depression, insomnia, anxiety, multiple sclerosis, neuropathy, neurodegenerative disorders (such as Parkinson's disease and Alzheimer's disease), as well as inflammatory bowel disease, Crohn's disease, coeliac (celiac) disease and related disorders of the intestine, among numerous others as described herein. A contraceptive indication to prevent or reduce the likelihood of pregnancy after intercourse is a further aspect of the present invention.

The invention discloses an AI-assisted insomnia typing and personalized intervention system, which belongs to the field of medical artificial intelligence, and comprises a multi-modal data acquisition module used for synchronously acquiring psychological assessment data, physiological index data, clinical diagnosis data and dynamic behavior data of an insomnia patient, the psychological assessment data comprises a DCPR semi-structured interview text, a PSSS scale score, a PSQI scale score, an AIS scale score, an ESS scale score, an HAMA scale score and an HAMD scale score; according to the method, the DCPR semi-structured interview text, the EEG / PSG physiological signal and the wearable device behavior data are subjected to time-space synchronization integration, the semantic features of the psychological text are analyzed through BiLSTM + attention mechanism, and precise classification of healthy anxiety type, persistent psychosomatic type and other psychosomatic syndrome subtypes is realized in combination with hierarchical clustering and random forest algorithms, so that the accuracy of psychosomatic syndrome subtypes is improved, and the accuracy of psychosomatic syndrome subtypes is improved. The limitation of traditional ICSD-3 / DSM-5 single-dimension diagnosis is broken through, and the clinical significance of subtype distinguishing is improved.