410 results about "Sleep time" patented technology

The invention discloses a self-adaptive music synthesis sleep aiding method and system based on physiological feedback. The method comprises the following steps: acquiring physiological data of a user; preprocessing the physiological data; evaluating the sleep state of the user based on the preprocessed physiological data; defining a music parameter space according to the sleep state; optimizing music parameters based on the sleep state and the music parameter space; generating and playing music according to the optimized music parameters; while music is played, physiological reactions of the user are continuously monitored, music parameters are adjusted in real time based on the physiological reactions, and feedback circulation is formed; analyzing a long-term sleep pattern of the user based on the data obtained in the feedback loop; according to the long-term sleep mode, updating a music parameter space and an optimization strategy; security monitoring is executed, and intervention is carried out when an abnormal condition is detected; according to the invention, a plurality of key indexes such as sleep time, deep sleep proportion, sleep quality and the like are obviously improved.

The invention belongs to the technical field of food microorganisms, and relates to lactobacillus plantarum and application thereof in preparation of products for relieving insomnia. The preservation number of the lactobacillus plantarum is GDMCC No: 65061. The lactobacillus plantarum can be applied to efficient fermentation of spina date seed juice, the content of GABA, polypeptide, total phenols and total flavonoids in the spina date seed juice is increased, and the content of spinosin, 6 ''-feruloyl spinosin, jujuboside A, jujuboside B and betulinic acid is increased; the reduction of whole brain coefficient and the increase of liver coefficient caused by long-term insomnia are relieved, the bad condition caused by long-term insomnia in a hippocampus DG region in the brain of the mouse is improved, the sleep time of the mouse is prolonged, and the insomnia symptom of the mouse is relieved; the content of inhibitory neurotransmitters 5-hydroxytryptamine, melatonin and gamma-aminobutyric acid in the hypothalamus of the mouse is increased, the content of excitatory neurotransmitter glutamic acid is reduced, and the reduction of organism immunity and oxidative stress of brain tissues caused by insomnia are relieved.

The invention belongs to the field of intelligent environment comprehensive regulation and control, and particularly discloses and provides an intelligent environment comprehensive regulation and control method based on sleep aiding, which comprises the following steps: firstly, according to the heart rate and skin resistance of a user, evaluating the stability of a sleep state, automatically adjusting the brightness and color temperature of light, and creating a suitable sleep atmosphere; secondly, determining the temperature and humidity of the preference environment by analyzing the longest sleep time, the sleep time and the number of times of waking up at night in the historical sleep data of the user, and intelligently regulating and controlling the environment to match the temperature and humidity of the preference environment of the user. And finally, the system recommends a suitable music type according to the environmental noise type, and accurately recommends sleep music based on preference feedback of the user for each piece of music. Meanwhile, environmental noise decibel is monitored in real time, music volume is dynamically adjusted, harmonious coexistence of music and environmental noise is ensured, a more comfortable and quiet sleep environment is created for the user, and the sleep quality of the user is improved in multiple dimensions.

The present application relates to a device and method for monitoring and early warning Low-power-consumption landslide collapse based on time division multiplexing, comprises: a camera equipment is configured to obtain monitoring images; a RF front-end is configured to transmit and receive radar signals; an intelligent sleep equipment is configured to set sleep time and power down the equipment(s) connected to it to put into sleep mode when the device requires working in a low power consumption mode; a signal processing equipment is configured to realize interference measurement and Doppler detection in a time division multiplexing manner and generate early warning or forecast information; a 5G equipment and an Ethernet port are configured to send the measurement results and monitoring images to a mobile terminal or host computer. The present application realizes the joint work of Doppler detection and interference measurement within one radar device through adaptive time division multiplexing.

The invention relates to the technical field of wireless sensing nodes, and discloses a self-adaptive sleep scheduling method for a wireless sensing node powered by solar energy. According to the method, energy collection data and environmental parameters of a solar cell panel are monitored in real time, an energy prediction model is constructed to generate an energy supply curve, a dynamic sleep time threshold value is calculated according to the energy supply curve and task load priority weight, a multi-stage sleep mode is generated through a fuzzy decision rule, and time-sharing sleep scheduling of communication, sensors and calculation modules is achieved. Meanwhile, a sleep mode can be switched by detecting the emergency degree change of a task queue, an emergency scheduling strategy is started and a standby power supply is activated when energy is insufficient, and data can be recorded to update model parameters to realize self-optimization iteration. According to the method, the energy utilization efficiency and the working stability of the wireless sensing node are improved, and the problems of unstable solar energy supply and unreasonable task scheduling are effectively solved.

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 provides a composition for improving sleep quality as well as a preparation method and application thereof, and belongs to the technical field of medicines. The preparation method comprises the following steps: performing supercritical fluid extraction on lavender, violet, rose and agilawood to obtain extracted oil, performing solid enzymolysis, performing immobilized ionic liquid extraction, and performing desorption to obtain extracted oil, and uniformly mixing the extracted oil with the extracted oil and a penetration enhancer to obtain the composition for improving the sleep quality. The prepared extract oil and the extract oil are mixed, and the penetration enhancer is added, so that the prepared composition for improving the sleep quality enters a human body through skin absorption, achieves the effects of regulating qi activity of viscera and regulating yin and yang of the body, has the effects of soothing the nerves, helping sleep, prolonging the sleep time, improving the sleep effect and relieving nervous mood, and has a wide application prospect.

To provide a game program, a game system, an information processing device, a server, and a game method capable of executing a sleep game suppressing a user's inconvenience from occurring even while a server is under maintenance.SOLUTION: A game program allows a processor to execute the steps of: receiving an instruction regarding acquisition processing of sleep information; recognizing that a server 20 is under maintenance when receiving an instruction; retaining sleep information determined by a user in a memory during maintenance when receiving an instruction; permitting progress of a game on the basis of determined sleep information with communication with the server 20 in which maintenance is completed as an opportunity in a state in which the determined sleep information is retained; and notifying a user of detection of fraudulence when determining that determined sleep information is based on illegal means by comparing a maintenance period with information on a user's sleep time included in determined sleep information.SELECTED DRAWING: Figure 2

The embodiment of the invention discloses a sleep monitoring method and device, a storage medium and electronic equipment, and relates to the technical field of computers. The method comprises the steps of determining whether a facial expression of a target user in a sleep area meets a preset condition or not; when it is determined that the facial expression meets the preset condition, detecting whether the duration of the target user in a static state reaches a preset duration; when it is determined that the facial expression meets the preset condition and the duration of the target user in the static state reaches the preset duration, it is determined that the target user enters a sleep state, and recording and continuous monitoring of the sleep condition of the target user are started; and generating a sleep report according to the sleep condition of the target user. According to the embodiment of the invention, a monitor can know the sleep cycle, deep sleep time and other information of the target user as the monitored person, understand the natural sleep law of the monitored person, and improve the sleep quality of the monitored person.

Disclosed are techniques for wireless communication. In an aspect, a UE determines a completion time associated with a communication event for a wakeup period, the wakeup period characterized by at least radio frequency (RF) circuitry being set to an active state. The UE schedules a transition from the wakeup period to a sleep period at the completion time, the sleep period characterized by at least the RF circuitry being set to an inactive state. The UE performs the communication event during the wakeup period. The UE transitions from the wakeup period to the sleep period at the completion time in accordance with the scheduling. The UE determines, after the transition from the wakeup period to the sleep period, a wakeup time associated with a next wakeup period.

The invention relates to the technical field of personalized sleep guiding methods, in particular to a self-adaptive personalized sleep guiding method and system and a personalized sleep guiding instrument, and the method comprises the following steps: obtaining multi-dimensional sleep data; performing preprocessing and feature extraction on the multi-dimensional sleep data; constructing a personalized sleep model based on the preprocessing and feature extraction results; generating a sleep guide strategy according to the personalized sleep model; based on the sleep guide strategy, dynamic regulation and control of environment parameters are achieved; obtaining user feedback and updating the personalized sleep model; performing long-term effect evaluation and optimizing system parameters; by introducing a quantum heuristic multi-target award function, multiple sleep indexes can be considered in a quantum superposition state at the same time, and a test result shows that the method has remarkable advantages in multiple indexes such as sleep quality improvement (SQI), sleep time shortening rate (STDR) and deep sleep proportion increase rate (DSIR).

The present disclosure relates to servers, systems, and methods for dynamic risk evaluation using weighted factors. It introduces a decision intelligence-based framework for assessing risk. Traditional methods face challenges like limited data, biases, and static assessments, where the system described herein leverages advanced data analytics, machine learning, and / or predictive modeling to enhance accuracy and personalization. In some embodiments, the system is configured to enable users to enter parameters, targeting criteria, and / or factors for tracking. The system performs risk determination, outputs premiums, and automatically monitors changes in factors over time. In some embodiments, the system enables weightings for factors to be applied automatically, where in some embodiments, AI model are configured to generate the weightings based on predictions. Example factors include heart rate, BMI, and sleep time. In some embodiments, the system is configured to change insurance premiums without human intervention based on changes in life events and / or activity.

The invention discloses a method for diagnosing obstructive sleep apnea hypopnea syndrome, and relates to the technical field of medical diagnos.The method comprises the steps that an airflow curve and an oxyhemoglobin saturation curve of a patient during sleep are collected, all respiratory events are traversed and retrieved from the airflow curve, and according to the occurrence time of each respiratory event, all the respiratory events are determined; finding out a corresponding search window from the blood oxygen saturation curve, calculating the area of the search window of each apnea event, accumulating the areas of all closed areas to obtain an area sum, dividing the area sum by the total sleep time to obtain an index value of the sleep apnea specific hypoxia load, and determining the sleep apnea specific hypoxia load based on the index value and an index threshold value. Obtaining the symptom level of apnea of the patient; the method has the advantages of simple and convenient indexes, rapidness and high accuracy, and can be well applied to screening and diagnosis of the obstructive sleep apnea hypopnea syndrome.

The invention discloses a Doppler frequency offset estimation method and electronic equipment, and relates to the technical field of communication, and the method comprises the step that the electronic equipment communicates with a low-orbit satellite in a discontinuous reception (DRX) mode. Wherein in a discontinuous reception (DRX) mode, the electronic equipment enters a wake-up period when the wake-up moment arrives, the electronic equipment communicates with a low-orbit satellite in the wake-up period, the electronic equipment enters a sleep period when the sleep moment arrives, and the electronic equipment stops communicating with the low-orbit satellite in the sleep period. When the wake-up moment arrives, the electronic device obtains at least one historical Doppler frequency offset value; and the electronic equipment determines a Doppler frequency offset value corresponding to the wake-up moment based on the historical Doppler frequency offset value. In the scheme, the Doppler frequency offset value at the wake-up moment is estimated through the historical Doppler frequency offset value, and the electronic equipment can calculate the Doppler frequency offset value at the current wake-up moment, so that frequency offset compensation can be carried out in time at the current wake-up moment, and the performance of frequency offset compensation is optimized.

The invention discloses a rehabilitation training evaluation method based on dream guidance in combination with myoelectricity monitoring. The method comprises the following steps: collecting and preprocessing electroencephalogram data; analyzing the sleep state and judging whether the sleep state is a deep sleep state; performing stimulation guidance of a deep sleep state; repairing the deep sleep dream; performing real-time myoelectricity monitoring by using myoelectricity monitoring equipment after the patient enters the deep sleep state, and performing motor imagery marking in combination with the electroencephalogram signals; and performing rehabilitation training effect evaluation in combination with the myoelectricity data and the electroencephalogram data. According to the invention, a patient is guided to perform nerve rehabilitation treatment in a mode of monitoring dream by electroencephalogram, so that the sleep time is used for training to improve the training duration, and environmental interference factors can be reduced through deep sleep; the muscle activity effect of the dream guiding part can be judged in an auxiliary mode through the myoelectricity monitoring means, and whether the patient is correctly guided or not is judged in combination with monitoring of the brain electricity on the muscle part.

The invention belongs to the technical field of traditional Chinese medicine fermentation, and particularly relates to a sleep-aiding fermentation composition capable of prolonging slow-wave sleep duration and a preparation method of the sleep-aiding fermentation composition. The fermentation composition is prepared from the following components in parts by weight: 10 to 40 parts of cordyceps sobolifera sporocarp, 20 to 70 parts of sparassis crispa, 150 to 400 parts of gastrodia elata, 8 to 38 parts of enzyme preparation and 0.08 to 0.47 part of leavening agent. The traditional Chinese medicine components have a synergistic effect, the effects of all the components are fully exerted, the obtained fermented composition has the effects of soothing the nerves and helping sleep, the sleep time of the slow-wave sleep stage is mainly prolonged, and better sleep quality can be achieved.

The invention relates to the technical field of positioning systems, and provides a label positioning system, a label positioning method and a label positioning device. The label positioning system comprises a target label and a positioning base station, and the target label sends an ultra-wideband signal to scan the surrounding environment; when the positioning base station enters the sleep state, the timer is reset and starts counting, and when the count exceeds a first set threshold value, the positioning base station quits the sleep state and enters the working state; the current first set threshold value is obtained according to the moving speed prediction information of the target label carried by the ultra-wideband signal monitored recently before the current working state is carried out; when the positioning base station monitors the ultra-wideband signal in the current working state, the positioning information of the positioning base station itself is sent to the target label; and the target label obtains the current position of the target label according to the positioning information sent by the positioning base station. By adopting the system, the sleep time of the positioning base station can be prolonged and the power consumption of the positioning base station can be reduced when the target label moves slowly.

The invention relates to the technical field of narcolepsy auxiliary diagnosis, in particular to a narcolepsy patient-oriented physiological parameter monitoring method, a medium and a narcolepsy patient-oriented physiological parameter monitoring system. Segmenting the electroencephalogram signal and the electrocardiosignal in each test to obtain a plurality of electroencephalogram signal segments and a plurality of electrocardiosignal segments; obtaining the interference degree of each electrocardiosignal segment; acquiring three stages of each electrocardiosignal segment; the credible weight of the interference degree of each stage of each electrocardiosignal is obtained, and then the credibility of each stage of each electrocardiosignal is obtained; and according to the credibility and the sleep time of each stage of the electrocardiosignal, obtaining the final sleep time of the patient. According to the invention, the interference caused by inadaptation of a patient to a test environment or test equipment is reduced, and the accuracy of obtaining a sleep time result is improved.

The invention relates to the technical field of smart home and health monitoring, and particularly discloses a sleep monitoring control interaction system and method based on artificial intelligence and data fusion, and the system comprises a sensing data acquisition module, a sleep environment recognition module, a mattress adjustment judgment module and a control strategy feedback module. A high-density sensor array network is embedded in a mattress body and is used for detecting pressure distribution data and temperature distribution data at a current sleep time point in real time; the sleep environment at the current sleep time point is further judged, the sleep environment is divided into a single-person sleep environment and a multi-person sleep environment, and the multi-person sleep environment is further divided into an adhesive multi-person sleep environment and a non-adhesive multi-person sleep environment; and finally executing dynamic adjustment strategy analysis. By monitoring and analyzing the pressure distribution in real time, the system can identify the part where a human body is in contact with the mattress and the pressure change, so that the supporting structure of the mattress is dynamically adjusted, and the sleep quality is improved.

The invention relates to an extracellular vesicle composition for aiding sleep as well as a preparation method and application thereof. The composition comprises two or more of passion flower extracellular vesicles, chamomile extracellular vesicles and liquorice extracellular vesicles. According to the extracellular vesicle composition, a combined formula is adopted, and the CL-level of cells is improved, the expression level of GABA related proteins is improved, the expression of brain-derived neurotrophic factors (BDNF) of the cells is promoted, and the synaptic growth of neuronal cells is promoted in a multi-dimensional combined mode that the passiflora edulis is compounded with multiple Chinese herbal medicine extracellular vesicles; the sleep-aiding pillow has the advantages that multi-aspect efficient sleep-aiding effects can be realized, sleep time can be shortened, and sleep quality can be improved. Meanwhile, the extracellular vesicle composition disclosed by the invention adopts nano-scale raw materials, has good permeability, and is more easily absorbed and ingested by cells and skin to play a role.

The invention relates to a sleep monitoring method and device. The method comprises the following steps: acquiring sleep monitoring information of a user in a monitoring period, wherein the sleep monitoring information comprises electroencephalogram data, myoelectricity data and electro-oculogram data; the method further comprises the step of determining user sleep information based on the electroencephalogram data, the myoelectricity data and the electro-oculogram data in the monitoring period, and the user sleep information comprises sleep time information and sleep monitoring information in a sober sleep stage, a non-fast eye movement sleep stage and a fast eye movement sleep stage. In addition, the method further comprises the step of determining sleep time information and sleep monitoring information under three sub-stages of the non-fast eye movement sleep stage in the sleep information of the user based on the electro-oculogram data under the non-fast eye movement sleep stage. Through the mode, the sleep staging distribution condition of the user in the current monitoring period can be determined based on the multi-dimensional data monitored by the user in the current monitoring period, and the sleep conditions of the user in different monitoring periods can be accurately reflected.

The invention relates to the technical field of alarm clocks, in particular to an intelligent alarm clock and a control method thereof. The control method of the intelligent alarm clock comprises the following steps: monitoring and acquiring sleep quality data of a user in a sleep area in real time; outputting a sleep quality report and a corresponding sleep suggestion according to the acquired sleep quality data; before the preset alarm time, starting an awakening mode according to the sleep state of the user; adjusting preset schedule reminding time and preset schedule reminding content according to the weather condition and the real-time traffic condition of the position where the user is located; and controlling to output the adjusted preset schedule reminding content at the adjusted preset schedule reminding time. According to the intelligent alarm clock and the control method thereof, the functions of sleep monitoring and sleep suggestion providing are achieved, the user can be awakened in the appropriate sleep time, the awakening discomfort is reduced, schedule arrangement can be optimized, multiple functions are achieved, and better user experience is provided.

The invention belongs to the technical field of traditional Chinese medicine preparations, and relates to fingered citron-albizia flower compatible traditional Chinese medicine oral liquid for soothing nerves, helping sleep and resisting depression and a preparation method thereof. The oral liquid consists of medicinal materials such as fingered citron, albizia flower, fried jujube kernel, polygala tenuifolia, lily, angelica sinensis, ginseng, radix curcumae, platycladi seed, rhizoma acori graminei and poria cocos, and is supplemented with components such as honeysuckle, liquorice, medlar, honey, phaseolus calcaratus, salvia miltiorrhiza and lophatherum gracile. The preparation method comprises the following steps: stir-frying jujube kernels, soaking medicinal materials, performing double-stage water decoction extraction, performing vacuum concentration, blending honey, performing ultrasonic treatment, performing pasteurization, filling and the like. Animal experiment results show that the traditional Chinese medicine composition is superior to a plurality of contrast groups in the aspects of improving sleep latency, prolonging sleep time, reducing depression-like behaviors, improving sweet water preference and the like, and shows good compatibility synergy and behavior regulation potential.

The invention discloses a wireless communication method and system, and the method comprises the following steps: a data transmitting end carries out the communication between an access point and a data receiving end after a local machine and the data receiving end are connected with the access point, so as to determine time windows which are aligned with each other, and each time window comprises an active time period and a sleep time period; and the data sending end transmits data to the data receiving end in the active time period, so that the data receiving end monitors the data in the active time period and enters a sleep mode in the sleep time period. According to the invention, low-power consumption and low-delay communication can be realized without depending on a specific access point mode and / or type, so that the corresponding wireless communication system has higher compatibility and flexibility.

Provided is a computer program, an information processing device, and a method that are used to estimate a health state of a target user based on a history of behaviors executed by the target user, and have at least partially improved performance. According to one embodiment, a computer program can cause, by being executed at least one processor, the at least one processor to function to: acquire target behavior data for identifying a history of behavior executed by a target user; and output, from an estimation model generated by executing supervised learning, target sleep state data for identifying a sleep state of the target user, the target sleep state data including at least one of target property data for identifying a sleep property of the target user, target rhythm data for identifying a sleep rhythm of the target user, target time data for identifying a sleep time of the target user, and target category data for identifying a sleep category to which the target user belongs, by inputting the target behavior data to the estimation model.

This application discloses a network device sleep control method and apparatus. The method is applied to the network device, and the method includes: obtaining measurement data, where the measurement data is attribute data that indicates the network device to process a service; obtaining a first sleep policy, where the first sleep policy includes a rule item and an action item; determining that the measurement data meets the rule item; and controlling, according to the action item, one or more indicated sleep objects to sleep in a corresponding sleep time period, where the sleep objects include at least one of the following objects: a switch board, a switch chip, and a switch port, the network device includes a service board and the switch board, the switch board includes the switch chip and the switch port, and the switch port is used for communication between the switch board and the service board.

The present invention relates to a valerian composition and / or valerian extract for the prevention, improvement, and maintenance of sleep disorders and / or sleep management, and as such, improves sleep quality, improves sleep time, improves sleep duration, reduces sleep disturbances, and maintains healthy stress levels in subjects in need thereof. A valerian composition comprising a valerian extract and at least one pharma- tically and / or nutraceutical acceptable excipient. The present invention further encompasses the valerian composition, which is further formulated in various forms, such as powders, beadlets, granules, capsules, tablets, oil suspensions, films, or any other suitable oral or topical dosage forms, using pharma-tically and / or nutraceutical acceptable excipients.

The invention discloses an intermittent hypoxia load prediction method for obstructive sleep apnea, which comprises the following steps: 1) data acquisition: acquiring oxyhemoglobin saturation information; 2) calculating an intermittent hypoxia index IHI, wherein IHI = S / TST or IHI = S / TRT; wherein S represents the total area under the desaturation curve, TST represents the total sleep time with minute as the unit, and the method is used for polysleep monitoring; tRT represents the total recording time and is used for portable sleep monitoring; iHI represents an intermittent hypoxia index; and 3) determining the intermittent hypoxia load of the obstructive sleep apnea based on the intermittent hypoxia index IHI. The invention provides a new method, namely a Newton-Kittius formula, to calculate the OSA patient nighttime hypoxia load (namely the area under a desaturation curve), and the calculation method has the characteristics that different algebraic precision operation can be performed on data according to the characteristics of the data, so that the result error is small.

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.