125 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 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 identification module, a graph construction module, a graph path generation module and a diagnosis result output module. According to the method, difference comparison and normalized sequence analysis in a time window are performed on multiple types of physiological response data, and derivative trend identification and mutation section calibration are combined, so that collaborative identification of signal delay response and abnormal change positions is realized, and multi-dimensional information of duration, frequency and fluctuation amplitude in abnormal events is further structured; the method comprises the following steps: constructing a traceable symptom expression vector, extracting structural features of the traceable symptom expression vector in a time sequence evolution process through a cross-time window entity evolution path, identifying a growth trend of association strength between symptoms according to an attribute change direction and a path connection mode, and judging a fluctuation mode and an abnormal evolution tendency of a sleep state of a user in a specific time period.

The invention discloses a household collaborative nursing management system for diabetic sleep disorders and an implementation method, relates to the technical field of nursing management, and aims to automatically establish and adjust a layered nursing structure according to health data of a patient, realize correlation analysis among multiple targets, ensure that the most urgent health problem is effectively intervened firstly, and improve the nursing efficiency. The information collaboration degree is utilized to fuse related data of a plurality of nursing targets, accuracy and high efficiency of the data are ensured, so that treatment and nursing strategies are optimized, mutual support and coordination of various nursing targets are ensured, conflicts among targets in a traditional treatment scheme are avoided, dynamic adjustment is carried out through a self-adaptive optimization algorithm, and the treatment efficiency is improved. According to the health state change of the patient, the nursing scheme is adjusted in real time, it is guaranteed that the patient can obtain personalized and continuously-optimized nursing management, the treatment effect of diabetes and sleep disorder dual management is remarkably improved, and the life quality and treatment compliance of the patient are improved.

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 real-time self-adaptive electroencephalogram artifact suppression and enhancement embedded system. The system aims at overcoming the limitation of an existing portable EEG device in the aspect of artifact processing, various artifacts in EEG signals are recognized and removed in a low-power-consumption, high-precision and real-time mode, and meanwhile the quality of effective EEG signals is optimized and enhanced. One key innovation of the invention lies in breaking through the limitation of single EEG signal processing, and accurate separation and correction of artifacts are carried out through the assistance of EOG and EMG. For example, the EOG signal is used for assisting eye movement artifact removal through synchronous correlation analysis and an adaptive regression filter; the EMG signal is used for assisting myoelectricity artifact correction, and suppression is carried out through spectral analysis and dynamic adjustment of filter parameters. In addition, the system also has the functions of real-time detection and repair of electrode artifacts. According to the system, high-quality EEG signals close to offline processing are provided on portable embedded equipment with limited resources, and the system has universality and high-precision application potential and can be widely applied to a plurality of frontier fields such as medical diagnosis, brain-computer interface (BCI), cognitive ability enhancement, neurological rehabilitation training, sleep disorder monitoring and human-computer interaction.

An example computer system analyzes nasal airflow data to detect sleep disorders. The system can estimate the breathing cycle frequency on the pressure nasal airflow data. Based on this frequency, the system can calculate optimal smoothing window sizes. The system can perform a smoothing operation on the airflow data and auxiliary sensor data using these windows. Breathing cycles can be detected in the smoothed data streams. Cycles meeting artifact conditions but not sigh conditions can be removed as noise. Remaining clean cycles can be analyzed further. A transition segment between the peak of one cycle and trough of the next can be classified. Using this classification and the cleaned auxiliary data, the system can detect sleep disorder events.

The invention relates to the technical field of health food, in particular to a nervonic acid nutrient composition for relieving sleep disorder and application of the nervonic acid nutrient composition for relieving sleep disorder. The active components comprise natural vegetable oil such as acer truncatum seed oil purified nervonic acid, linseed oil and the like and gamma-aminobutyric acid extracted by fermentation; the synergistic component is prepared from soybean enzymolysis phosphatidylserine, saccharomycetes fermentation coenzyme Q10 and plant source B vitamins; the slow-release carrier adopts pectin-Arabic gum composite gel and plant starch to form a natural cross-linked structure, and long-acting release for 8-12 hours is realized through physical cross-linking. Green technologies such as ultrasonic dispersion and low-temperature drying are adopted in the preparation process, and chemical synthesis steps are avoided; the composition can improve the difficulty in falling asleep and improve the sleep quality, the activity retention rate is greater than or equal to 85% after the composition is stored at 45 DEG C for 6 months, and the composition is suitable for preparing capsules, gel candies and other health-care foods and has no dependence after being taken for a long time.

The invention discloses a peanut sprout water extraction enriched product, a preparation method and application of the peanut sprout water extraction enriched product in a sleep-aiding composition. The content of resveratrol in the peanut sprout water extraction enriched product is 0.8-1.5 mg / g, the content of total amino acid is 100-200 mg / g, the content of tryptophan is 0.24-0.30 mg / g, and the molar ratio of tryptophan to magnesium metal is 1: (0.4-0.6). The content of resveratrol in the obtained peanut sprout water extraction enriched product is high, the peanut sprout water extraction enriched product has a directional enrichment effect on tryptophan and metal magnesium ions, and research proves that the peanut sprout water extraction enriched product has a remarkable effect on improving sleep disorders.

Examples of the disclosure include a system for treating disordered breathing in a patient, including an electrical-pulse generator (IPG) to generate an electrical stimulation and including a controller and a power source, a lead including a first sensor, and a second sensor, the controller being configured to provide, via the lead, first electrical stimulation to a target nerve including a phrenic nerve, receive, from the lead, respiratory information indicative of a respiratory parameter of the patient, determine, based on the respiratory information, a therapy-specific indicator indicative of an effect of the stimulation, receive, from the at least one second sensor, non-respiratory information, determine, based on the non-respiratory information, a patient-specific indicator relating to at least one patient condition, modify, based on at least one of the indicators, at least one parameter of the stimulation, and provide, via the lead, at least one second electrical stimulation having the modified parameter.

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 invention relates to a portable electrical stimulation device integrating vagus nerve-trigeminal nerve stimulation, and relates to the technical field of medical electrical stimulation equipment, the portable electrical stimulation device comprises a neck ring body, a heating electrical stimulation assembly and a main storage bag, the heating electrical stimulation assembly is arranged on the outer surface of the neck ring body, and the main storage bag is arranged at the bottom of the right side of the neck ring body. The auxiliary storage bag is arranged at the bottom of the left side of the neck ring body, the heating electrical stimulation assembly accurately corresponds to the three-fork two-type nerve branch area, the sleep state can be more comprehensively improved and sleep disorders can be relieved through cooperation of the heating electrical stimulation assembly and the three-fork two-type nerve branch area, blood circulation of a target area is promoted through synchronous heating, and the nerve excitation threshold value is reduced. According to the device, long-term nerve regulation and control can be better carried out by a user, a connecting cable is stored through the main storage bag and the auxiliary storage bag, the cable is prevented from being knotted or damaged due to extrusion, the arrangement time before use is shortened, and meanwhile, a magnetic attraction piece is utilized to attract a mounting piece of the heating electrical stimulation assembly, so that the whole device is more compact and regular when carried.

The present invention discloses a method, device and system for processing information on sleep disorders, which acquire business data and perform structured processing, set fuzzy logic, establish a corresponding evaluation system based on fuzzy concepts input by business experts, establish at least one mapping relationship table between fuzzy concepts and fuzzy logic judgment results, build a neural network model through a deep learning algorithm, drive the fuzzy logic, establish and classify knowledge graphs based on the experience and knowledge of business experts, reason and describe the fuzzy concepts, iterate the reasoning and description results into the model to obtain the final judgment basis, process business needs to obtain and output results, and can effectively improve the decision-making efficiency of business experts while taking into account the accuracy of decisions without requiring a large number of existing samples.

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.

Systems, devices, and methods for monitoring a person's sleep are described. Thermal images of a person sleeping can be captured using an infrared camera and processed to determine the body temperature of the person. A particular sleep stage and its duration can be determined using the body temperature. In addition, the data obtained from monitoring the person can be used to determine if the person is suffering from one or more sleep disorders or other health problems. In this manner, a person's sleep quantity and quality can be determined in a non-invasive, efficient, and comfortable manner.

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 invention belongs to the technical field of sleep-aiding tea, and particularly discloses nerve-calming sleep-aiding tea and a preparation method thereof.The nerve-calming sleep-aiding tea is prepared from, by weight, 3-5 parts of poria with hostwood, 3-6 parts of longan aril, 3-8 parts of walnut kernels and 3-6 parts of fructus lycii. The tea soup is prepared by cleaning the raw materials, braising in boiling water and filtering. Drinking tests show that the poria with hostwood, longan aril, walnut kernels and Chinese wolfberry fruits have a synergistic effect, so that the sleep efficiency is remarkably improved, and the deep sleep time is prolonged. The sleep-aiding tea is natural, safe, low in dependence risk and convenient to use, and an effective solution is provided for improving sleep disorders.

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.