75 results about "Sleep disorder" patented technology

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 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 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 discloses a sleep environment adjusting method of a sleep monitoring and sleep disorder intervention sleep bed, which comprises the following steps: collecting and sorting physical state data and environmental parameters of a historical user before and after falling asleep to form a historical database, classifying sleep disorders in the historical database, sorting out user physiological feature data, user environment feature data and user behavior feature data according to the sleep disorder data, and performing real-time sleep quality evaluation to obtain a real-time sleep quality coefficient; according to the method, the sleep user is monitored in real time, the user physiological feature data, the user environment feature data and the user behavior feature data are obtained, the expected sleep duration of the sleep user is loaded, a historical database is formed through the body state data and the environment parameters, and the sleep quality expected curve is established; and performing real-time sleep quality evaluation according to the user physiological feature data, the user environment feature data and the user behavior feature data.

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.

Provided is a method for treating a condition selected from the group consisting of pain, sleep disorder, cancer, Alzheimer's disease, neurodegenerative diseases, ulcer, hypertension, opioid- related adverse effects, inflammation, asthma, glaucoma, neurodevelopment diseases and combinations thereof in a subject in need thereof, the method comprising administering to the subject: a) a first active pharmaceutical ingredient (API) comprising at least one cannabinoid other than CBD and THC; and b) a second API, which is different from the first API.

Methods and compositions are provided for treating or preventing a neurological disease or disorder using an inhibitor of Glyoxalase 1 (GLO1). In some embodiments, the inhibitor is a small molecule. In certain embodiments, the disease or disorder is a sleep disorder, a mood disorder such as depression, epilepsy, an anxiety disorder, substance abuse, substance dependence or substance such as an alcohol withdrawal syndrome.

The present invention is directed to dihydroquinazoline, -benzothiazine and -benzoxazine derivatives, advantageously for use in the prevention or treatment of neurological, psychiatric and sleep disorders and diseases in which central orexin neurotransmission is impaired or in which central and peripheral orexin receptors are involved. The present invention is also directed to pharmaceutical compositions comprising these compounds for use in the prevention and / or treatment of neurological disorders and diseases. The present invention is also directed to dihydroquinazoline, -benzothiazine and -benzoxazine derivatives and the use of these compounds as medicaments.

The invention discloses an application of an evaluation model based on Teocytes cells in evaluating sleep quality improvement of an external product. According to the method, the exact relation between the TCs and the sleep quality is explored, the application feasibility of the TCs serving as an evaluation index in external sleep nursing product research is achieved, and the TCs can serve as an accurate index for sleep quality improvement evaluation of the external sleep nursing product. Before this, TCs have not been used as a recognized sleep quality evaluation index. By monitoring the change of TCs, the effect of the external sleep nursing product can be evaluated, the risk of sleep disorder related diseases can be predicted, a new potential treatment target for insomnia is provided, and a new thought and strategy are provided for studying the pathological mechanism and diagnosis and treatment of insomnia.

The computing device relating to one aspect includes at least one memory and at least one processor, the processor recognizes the body shape of a user housed in the massage device, divides the user's body into multiple parts based on the recognition result, promotes blood circulation in the lower limbs among the multiple parts, controls the leg massage unit included in the massage device so that multiple acupuncture points included in the lower limbs are stimulated, controls the leg massage unit to guide the user to perform a predetermined movement with respect to the lower limbs, and controls the leg massage unit so that the lower limbs move in a predetermined direction and position.

The invention discloses wearable multi-lead Parkinson's disease motion symptom and sleep disorder monitoring equipment and method, and aims to solve the problems that traditional equipment is single in monitoring dimension, weak in scene adaptation and missing in quantitative closed loop. The device comprises a multi-lead wearable device and a cloud intelligent analysis platform, the multi-lead wearable device comprises two-side wrist and ankle nine-axis inertial sensors (motion signals), limb / face chin muscle electromyographic electrodes, two-side outer ocular canthus electromyographic electrodes (bio-electricity signals) and a waist six-axis body position sensor (body position signals). The edge calculation unit (signal synchronization, preprocessing, feature extraction and transmission storage) is integrated with the waist base box; and the cloud end adopts a support vector machine and other algorithms for fusion analysis, and generates a symptom quantification result and a structured report containing MDS-UPDRS scores. The method comprises the steps of signal acquisition, processing and dual-channel redundancy transmission, and the symptom weight is optimized in combination with reinforcement learning, so that multi-modal synchronous acquisition, full-period monitoring and accurate evaluation associated with clinical scores are realized.

The invention discloses a sleep disorder curative effect dynamic evaluation system based on multi-modal data fusion and artificial intelligence, and relates to the technical field of intelligent medical treatment, the sleep disorder curative effect dynamic evaluation system comprises a cloud analysis platform, the cloud analysis platform is in communication connection with the following modules: a curative effect time sequence analysis module, a sliding time window is fused with a long-short-term memory network and a trend decomposition algorithm, and continuous multi-night sleep data authorized by a user is dynamically analyzed. Through the curative effect time sequence analysis module, a 7-day sliding window is combined with a long-short-term memory network and a seasonal trend decomposition algorithm, time sequence dependence characteristics are extracted, long-term trend and periodic fluctuation are separated, the limitation of traditional single or subjective evaluation is broken through, a quantitative curative effect curve and a stability index which are updated every day can be generated, and the evaluation accuracy is improved. The long-term evolution situation and the short-term fluctuation of the sleep quality are visually reflected in a data visualization form, and a continuous and objective dynamic data basis is provided for curative effect evaluation.

The invention discloses a non-invasive sleep monitoring and intervening system, which constructs a thoracic and abdominal ventilation displacement model through human body micro-motion phase calculation of millimeter wave radar, and realizes continuous and non-contact monitoring of respiratory rhythm, ventilation change and body motion state. The system further utilizes a time-frequency fusion feature and trend analysis method to identify and predict sleep disorder events such as snoring, apnea and hypopnea in real time, and generates acoustic disturbance signals meeting sound pressure and frequency constraints before and after the events are formed, so that the ventilation mode or sleeping posture of a user is promoted to be controllably and finely adjusted on the premise that the user is not awakened, and the sleep disorder events are prevented from being disturbed. Therefore, the abnormal event duration is shortened and the sleep quality is improved. The method is suitable for sleep monitoring equipment, bedside lamps, intelligent sound boxes or desktop type health equipment, and algorithms and intervention strategies can be further optimized through software upgrading.

The invention discloses a sleep diagnosis system based on a sleep language model, and solves the problems of model prediction deviation, difficulty in long sequence modeling, poor feature reusability and the like in the existing sleep diagnosis method. The system comprises a data loading module, a data preprocessing module, a sleep stage staging module, a sleep stage staging calibration module and a sleep disorder diagnosis module. According to the system, preliminary sleep staging is carried out on electroencephalogram signals through a deep learning model; a sleep language model (called SleepGPT) based on a GPT-2 architecture is introduced, context semantic information of a sleep stage sequence is extracted, a preliminary staging result is calibrated in combination with a dynamic weighting mechanism, and the staging accuracy is improved; a hierarchical Transform network is designed, pre-trained SleepGPT is multiplexed to extract local features from a short sequence, global context features are integrated through a Transform encoder, and finally efficient sleep disorder auxiliary diagnosis is achieved.

The present invention relates to a composition for diagnosing Parkinson's disease, comprising a preparation for detecting a protein comprising GLUT3 in combination with one or more substances selected from the group consisting of USP14, alpha-synuclein, and AIMP2, or a gene encoding the protein. When using the composition for diagnosing Parkinson's disease and the diagnostic kit comprising the composition according to the present invention, it is possible to detect or diagnose Parkinson's disease by distinguishing Parkinson's disease patient groups by a simple blood test. Further, the present invention can be used as a pre-diagnosis for determining whether or not neurological examinations or brain image examinations are to be performed in a large hospital by preferentially applying to patients who exhibit premonition symptoms of Parkinson's disease such as anomalies, sleep disorders, and constipation. In addition, the compound can be used as a means for quantifying the treatment effect of Parkinson's disease.

The application discloses Pediococcus pentosaceus SC009 and an application thereof, is preserved in the China General Microbiological Culture Collection Center, and has a preservation time of June 28, 2021 and a preservation number of CGMCC No.22796.The bacteria have the effects of promoting sleep and resisting oxidation, and can be used for preparing sleep-improving and oxidation-resisting food and sleep-disorder treating medicine.In animal experiments, the bacteria can significantly shorten the sleep latency of mice and prolong the sleep time length, improve the sleep quality of mice, significantly improve the total SOD and reduced glutathione content in serum of middle-aged and old rats, reduce the MDA and protein carbonyl content, and have significant antioxidant activity, and can prolong the survival time of old rats.Pediococcus pentosaceus SC009 has the effects of promoting sleep and resisting oxidation, is conducive to market popularization and utilization, and has a broad application prospect.

The invention relates to the technical field of intelligent medical monitoring, and discloses a sleep disorder intelligent monitoring system and method based on a multi-modal physiological signal, and the method comprises the steps: collecting electrocardio, respiration and body movement signals, calculating a finite time Lyapunov index by using a phase-space reconstruction technology, taking the finite time Lyapunov index as a feedback control variable, and calculating the sleep disorder intelligent monitoring system based on the multi-modal physiological signal; noise intensity in a Langevin equation is dynamically adjusted, adaptive stochastic resonance enhancement is performed on the preprocessed signal, weak characteristics are improved by using noise energy, and causal coupling intensity between cross-modal symbol transfer entropy and net information flow index quantification systems is further calculated through phase-space symbolization mapping. And in combination with Lempel-Ziv complexity, a multi-dimensional judgment logic is constructed, and sleep staging and obstacle event results are output. According to the method, the problems that nonlinear physiological signal features are difficult to extract and a system coupling mechanism is unknown are solved, and the robustness and accuracy of sleep monitoring are improved.

The present invention aims to provide a novel compound which has an OX2R agonist activity.The present invention relates to a cyclopentane compound represented by the following formula (I) or a pharmaceutically acceptable salt thereof. The compound of the present invention or a pharmaceutically acceptable salt thereof has an agonist activity on OX2R and is useful as an agent for the treatment of sleep disorders involving OX2R (for example, narcolepsy, idiopathic hypersomnia, Kleine-Levin syndrome, hypersomnia due to physical diseases, hypersomnia due to psychiatric disorders, hypersomnia due to drugs or substances, circadian rhythm sleep-wake disorder, insufficient sleep syndrome and long sleep) or the like.

The invention belongs to the technical field of microbial fermentation, and discloses a solid-state fermentation postbiotic for adjusting the 5-hydroxytryptamine level and a preparation method and application of the solid-state fermentation postbiotic, and the solid-state fermentation postbiotic comprises fermented fermentation lactobacillus mucus IOB802 inactivated thallus components, metabolites and fermentation substrate active components. According to the invention, after solid state fermentation, by adjusting the content of neurotransmitters such as 5-hydroxytryptamine and then adjusting the relative expression level of neuronal cell apoptosis related genes Bcl-2 and Caspase 3 mRNA, nerve injury caused by sleep disorder is further improved. Meanwhile, after solid state fermentation, the prebiotics can improve oxidative stress injury caused by sleep disorder by reducing the content of lipid peroxide malonaldehyde and increasing the content of antioxidant enzyme.

The invention provides a personalized nerve stimulation parameter generation method based on electroencephalogram analysis, and aims to overcome the problem of parameter immobilization in the prior art. According to the method, a discomfort threshold value (DT) of an individual is determined through a stimulation tolerance test, and a personalized current intensity safety range is established. Then, combining an electroencephalogram risk assessment result, and utilizing a quantization formula to dynamically calculate stimulation parameters, including current intensity, stimulation duration and frequency; and finally, generating and outputting a personalized stimulation scheme to the stimulation equipment. According to the method, the defects of fixed parameters and one-step cutting in the prior art are overcome, dual individuation (safety and effectiveness) of stimulation parameters is realized, the safety and accuracy of transcranial electrical stimulation treatment are remarkably improved, and the method can be widely applied to auxiliary treatment of neurological and mental diseases such as depression, cognitive impairment and sleep disorder.

The invention provides a muscarinic acetylcholine M4 receptor positive allosteric modulator as well as a preparation method and a pharmaceutical composition thereof. The invention also relates to application of the compound or the pharmaceutical composition in preparation of drugs for preventing or treating muscarinic acetylcholine M4 receptor mediated related diseases, wherein the diseases comprise Alzheimer's disease, Parkinson's disease, schizophrenia, pain, addiction and sleep disorder.

The present application relates to the technical field of communications, and provides a PVB information synchronization method and apparatus, a device, and a system. The method is applied to a communication system. The communication system comprises a first access point and other access points. The first access point has the same BSSID as the other access points. The first access point is connected to the other access points, and acquires PVB information of actual associated stations from the other access points. The first access point aggregates the PVB information and then issues same to all access points. Thus, the PVB information of all access points is synchronized, thereby reducing the possibility of station sleep disorder. Moreover, because the access point can acquire the PVB information of all stations, seamless roaming of the stations is enabled during roaming.

The invention belongs to the technical field of medicine preparation, discloses a preparation method of a composite microbial preparation, focuses on a specific co-disease group of'depression-constipation-sleep disorder 'for the first time, provides a single-preparation comprehensive solution for comprehensively adjusting'intestine-brain axis' through multi-strain synergy, and fills the market blank. Constipation indexes are as follows: the intestinal tract propulsion rate of mice is increased by 50%, and the discharge time of first black feces is shortened by 30%. The depression index is as follows: in a forced swimming experiment, the immobile time is reduced by 40%, and the sweet water preference is obviously increased. Sleep indexes are as follows: the total sleep time is prolonged by 25%, and the sleep latency period is shortened by 20%. Biochemical indexes are as follows: the level of inflammatory factor IL-6 in serum is reduced by 60%, and the content of 5-HT and GABA in colon tissue is remarkably increased.

An apparatus for monitoring a sleep parameter of a user includes an adhesive pad configured to conform to a surface of the user and a flexible element coupled to the adhesive pad. The flexible element includes a conductive fabric, and exhibits a modified electrical property in response to an applied force. The apparatus also includes a power source electrically coupled to the flexible element, and an electrical circuit electrically coupled to the power source and the flexible conductive element. The electrical circuit is configured to detect, during use, a change in an electrical property of the flexible element.

This invention provides a method and system for binaural differential frequency sleep conditioning, aiming to solve the technical problems of existing sleep regulation methods being weakly targeted, easily affected by environmental interference, and difficult to adapt to different types of sleep disorders in users. The method includes: acquiring user sleep target information; acquiring user physiological data collected in real time; determining the user's current sleep state information based on the user's physiological data; determining differential frequency audio information based on the user's current sleep state information and user sleep target information; generating a first audio signal and a second audio signal based on the differential frequency audio information, wherein the first audio signal and the second audio signal have a specific frequency difference; and sending the first audio signal and the second audio signal with the specific frequency difference to the user's left and right ears respectively, based on the first audio signal and the second audio signal. Through the output and dynamic adjustment of binaural differential frequency audio, sleep disorders are effectively improved, with strong safety and applicability.

The present application relates to the technical field of physiological signal analysis, in particular to a sleep disorder intelligent diagnosis system based on a multi-modal knowledge graph, which comprises a signal lag analysis module, an abnormal signal recognition module, a graph construction module, a graph path generation module and a diagnosis result output module.In the present application, through the execution of difference comparison and normalized sequence analysis within a time window on multiple types of physiological response data, combined with derivative trend recognition and mutation section demarcation, the collaborative recognition of signal delay response and abnormal change position is realized, the multi-dimensional information structure of the duration, frequency and fluctuation amplitude in abnormal events is further structured, a symptom manifestation vector that can be tracked is constructed, the structural characteristics in the time sequence evolution process are extracted through the entity evolution path across the time window, the growth trend of the correlation strength between symptoms is recognized relying on the attribute change direction and path connection mode, and the fluctuation mode and abnormal evolution tendency of the sleep state of the user in a specific time period are determined.

The invention relates to a novel compound as a 5-HT2A receptor inverse agonist, and a preparation method and a pharmaceutical composition thereof. The invention also relates to application of the compound or the pharmaceutical composition in preparation of drugs for treating 5-HT2A receptor related diseases, wherein the diseases comprise non-motor symptoms caused by Parkinson's disease, such as delusional disorder, hallusion, depression, anxiety, cognitive disorder and sleep disorder; dementia-related mental disorders; major depression; or negative symptoms of schizophrenia and the like.

Disclosed is a method for 3D modeling a customized oral appliance for improving sleep disorders according to various embodiments of the present invention. The method comprises the steps of: generating a dental model including an upper jaw model and a lower jaw model; generating contour information on the basis of the dental model; generating a plurality of part models on the basis of the contour information; and generating an oral device model by integrating the plurality of part models.