87 results about "Night sleep" patented technology

Improved methodology and apparatus for the clinical study and treatment of sleep apnea which incorporates one or more of the following features: (1) application of mono-level, alternating high and low level, or variable positive airway pressure generally within the airway of the patient with the mono-level, high and low level, or variable airway pressure generally being coordinated with and/or responsive to the spontaneous respiration of the patient, (2) usage of adjustably programmable pressure ramp circuitry capable of producing multiple pressure ramp cycles of predetermined duration and pattern whereby the ramp cycles may be customized to accommodate the specific needs of an individual sleep apnea patient so as to ease the patient's transition from wakefulness to sleep, (3) remote control or patient-sensed operation of the apparatus, (4) employment of safety circuitry, reset circuitry and minimum system leak assurance circuitry, controls and methods, and (5) utilization of clinical control circuitry whereby sleep disorder data may be compiled and appropriate therapy implemented during a one-night sleep study.

The invention discloses a method for controlling a sleep mode of an air conditioner, which comprises an afternoon nap mode and a night sleep mode, wherein the afternoon nap mode is realized by adopting a user-defined control mode or set control mode, in the user-defined control mode, a user sets an air conditioner operating temperature Tset, a temperature increment delta T and an air conditioner operating time t1, the air conditioner operates according to the user set temperature and gradually regulates the temperature to Tset+/-delta T within the user set time t1; and in the set control mode, the last operating temperature of the air conditioner is read and is enabled to be equal to the set temperature Tset, the temperature is divided into three control ranges by adopting an air conditioner default operating time, and the temperature is controlled in each control range according to a set program. The invention provides a control method of the afternoon nap mode, the air conditioner selects the afternoon nap mode or night sleep mode according to the use demands in an operating process to ensure that the environment can obtain actually required temperature and the user obtains proper heat comfort, and thus better sleep environment can be created and purpose of saving energy can be achieved.

The invention belongs to the field of electronics and electric appliances, in particular to an air conditioner system and a sleep control method and device thereof. According to the air conditioner system and the sleep control method and device of the air conditioner system, brightness information of a room where the air conditioner system is located and the specific position of a human body are continuously detected and diurnal change rules are considered to enable the air conditioner system to automatically set and enter a corresponding night sleep control mode or a daylight sleep control mode for a user, after the user gets up, the air conditioner system automatically exits the corresponding sleep control mode. The whole air conditioner system is high in automation degree, avoids frequent manual setting, and is simple in operation and capable of effectively improving the sleeping comfort effect of the user.

The invention discloses a multi-sensor data decision level fusion-based sleep staging method. The method comprises the steps of firstly collecting radar and audio data of all night by using a radar sensor and an audio sensor, and extracting radar and audio signal features; secondly according to a feature number, performing data classification on the features, and according to the data classification, building a radar residual fragment model and a radar and audio fragment model; thirdly performing identification classification on radar features in the radar residual fragment model to obtain a model prediction result 1, and performing identification classification on radar and audio features in the radar and audio fragment model by using a classifier to obtain model prediction results A andB; fourthly performing decision making on the model prediction results A and B by using a naive Bayesian model to obtain a model prediction result 2; and finally performing time sequence splicing on the model prediction results 1 and 2 to obtain an all-night sleep staging result. The method is simple and feasible, is high in accuracy and meets an actual condition.

Provided is an intelligent induction system of an air purifier. The intelligent induction system is characterized in that an infrared induction system, a light induction system, an air detecting system, an air amount control system and a central processing unit for regulating and controlling the infrared induction system, the light induction system, the air detecting system and the air amount control system are included; the infrared induction system comprises an infrared sensor and a signal transmission module; the infrared sensor is arranged at the upper end or the top end of an air purifier shell, and the signal transmission module is electrically connected with the central processing unit; the light induction system comprises a light-sensitive sensor and a signal transmission module; the air detecting system comprises a formaldehyde detecting module, a VOC detecting module, a particle detecting module and a temperature and humidity detecting module; and the air amount control system comprises an air amount controller and a servo motor. A comparison module in the central processing module is adopted, a judgment rule is written in in advance, the air purifier is intelligently controlled, the purifier is controlled according to whether people are in a room or not and whether people are in night sleep or not, dependency on network and wireless control is avoided, control is easy, and electronic faults are not likely to happen.

There is provided a method of creating a presentation of a current awake-energy level, comprising: computing an estimate of initial awake-energy at a wake-up time of a target individual according to sleep-parameters computed according to a time interval that includes a previous night sleep, computing an estimate of a current awake-energy of the target individual indicative of a remaining amount of an estimated maximal amount of available awake-energy, computed according to the initial awake-energy and according to awake-parameters computed for an awake-time interval based on output of sensor(s) comprising: a physiological sensor that senses a physiological parameter, and/or an activity sensor that senses an activity, and outputting, via a user interface, an indication of the current awake-energy, wherein the computing the current awake-energy and the outputting are dynamically iterated over the awake-time interval while the target individual is awake.

System and method of all-night sleep management integrates the sleep cycle into the wake cycle with the result that the individual's sense of wholeness and overall well-being is promoted and improved day-in-day-out. In different embodiments, the system and method of all-night sleep management provides audio that a media player plays without potentially disruptive transitions to help people to manage tinittus or help babies or others to fall and stay asleep or to prevent failing to fall asleep or to prevent waking up of otherwise sensitive sleepers and provides an audio, video or other signal that an audio, video or other media player plays incorporating pacing, binaural beats, waveform manipulation, brainwave entrainment, light frequency, amplitude and color modulation or other techniques to draw people from the awake state, through one or more initial, staged intermediate sleep stages and back into the awake state. The media may be prerecorded media or may be provided by a programmed controller in response to user input selection.

The invention is directed method for measuring respiration using impedance pneumography over a duration of at least several minutes, several hours or over the duration of night sleep, the method comprising: using at least one electrode (11) configured to be in contact with an arm (2) of a human body (1) and at least one electrode (22) configured to be in skin contact with the thorax of a human body (1); defining impedance signal changes which relate to the respiratory volume changes or time-differentiated impedance signal changes which relate to the respiratory flow; and analysing variation over time in flow-time, volume-time, flow-volume curves, or derived numerical indices, or plain respiratory impedance signal or its time derivate over the duration of at least several minutes, several hours or over the duration of night sleep.

The present invention provides a light-weight wearable sensor that can capture electroencephalogram (EEG or brain signals), electromyography (EMG or muscle signal), and electrooculography (EOG or eye movement signal) using a pair of modified off-the-shelf earplugs. The present invention further provides a supervised non-negative matrix factorization learning algorithm to analyze and extract these signals from the mixed signal collected by the sensor. The present invention further provides an autonomous and whole-night sleep staging system utilizing the sensor's outputs.

The invention discloses a method for estimating the occupational and residential population characteristics based on mobile phone signaling, and the method comprises the steps: S1), obtaining the signaling data of a target city, calculating a Geohash character string corresponding to a signaling record, and carrying out the sorting according to the time; S2) eliminating ping-pong and drift signaling records, and combining adjacent same Geohash grids to obtain resident model data; S3) selecting data of the working time and the night sleep period, and judging whether the working and living conditions are met or not to obtain working and living model data; S4) processing the mobile service user data table and the real-name system width table provided by the operator to obtain a user data table; S5) matching the user data table with the job-house model data to obtain job-house user basic information model data; and S6) carrying out statistical analysis on the corresponding characteristicsof the occupational and residential population, and relatively accurately identifying the occupational and residential places of the users and obtaining the characteristics of the occupational and residential population by utilizing mobile phone signaling data and a user data table provided by an operator, so that the time cost and the human resources are saved compared with a traditional survey way.

The invention discloses a good night sleeping mask containing a purple ganoderma lucidum extract. The good night sleeping mask contains components A, B, C, D and E. A preparation method comprises steps as follows: 1), the component A is added to a water-phase pot, stirred and heated to 80-85 DEG C to be dissolved completely; 2), the component B is added to an oil-phase pot, stirred and heated to 80-85 DEG C to be homogenized and dissolved completely; 3), a water-phase material and an oil-phase material are sucked into an emulsifying kettle in succession, the temperature is kept at 80-85 DEG C,homogenization is performed for 1-3 min, and after the temperature is preserved for 10 min, stirring and cooling are performed; 4), when the temperature is reduced to 60 DEG C, the components C and Dare added, and stirring and cooling are performed continuously; 5), when the temperature is reduced to 45 DEG C, the component E is added; 6), when the temperature is reduced to 40 DEG C or lower, adischarged material is filtered. The good night sleeping mask is translucent and fresh in texture, moisturized and easy to absorb, is perfectly attached to the face and assists absorption of active ingredients by cooperation with a special microvibration massage head designed for skin and high-frequency microvibration, and can effectively remove yellowing, brighten and tighten skin and soothe shallow wrinkles.

The invention discloses an abnormal electroencephalogram behavior monitoring system and method for all-night sleep monitoring. The abnormal electroencephalogram behavior monitoring system and method for all-night sleep monitoring solve the problem that in the prior art, evaluation needs to be performed after evaluation information collection is completed, and have the beneficial effects of being able to timely send the collected information to medical staff and timely rescuing a patient. According to the scheme, the abnormal electroencephalogram behavior monitoring method for all-night sleep monitoring includes the steps that (1) an electroencephalogram signal is collected by an electroencephalogram signal acquisition component disposed in a human brain; (2) the obtained electroencephalogram signal is processed by a processer to obtain a power spectrum of the whole segment signal, feature extraction is performed by analyzing the power spectrum, and electroencephalogram data is modeled;(3) the measured electroencephalogram signal is tested and classified by a modeling model, and abnormal state judgment is performed according to a classification result; and (4) after the processor determines an abnormal electroencephalogram signal, the abnormal electroencephalogram signal is marked, and all data from the beginning of monitoring to the occurrence of the abnormal electroencephalogram signal is sent to a doctor diagnosis terminal.

An incredibly soft, yet supportive, form-fitting head cradle that aids in consistent and comfortable back sleep while eliminating pressure on, or anything touching, your facial skin during sleep. The Back to Beauty™ Anti Wrinkle Head Cradle is a support designed to cradle the head and neck and keep anything from touching facial skin. It is made with a down or alternatively micro fiber materials. It has unique crescent-shaped head supports to deliver the stability and comfort necessary for successful nights sleeping without anything touching the face.

The invention discloses a breathing abnormity detection method, a breathing abnormity detection device and a breathing abnormity detection facility based on heart rate variability. The method comprises the following steps: collecting electrocardiosignals at first preset time under the night sleep state of a tested person; extracting heartbeat interphase of the collected electrocardiosignals for forming a heart rate variability sequence, and randomly dividing each level of the heart rate variability sequence into two groups with the same amount; cutting out a continuous second preset time slicesequence from the heart rate variability sequence and extracting two characteristic parameters of the heart rate variability sequence; and carrying out statistic analysis on the two characteristic parameters of the training group, and establishing a breathing abnormity detection model based on the neural network by adopting the extracted two characteristic parameters as the input, inputting the two characteristic parameters corresponding to the test group into the breathing abnormity detection model, so that breathing abnormity detection and evaluation can be carried out the tested person. According to the technical scheme, through the human body electrocardiosignals collected in a non-invasive manner, the apnea is analyzed by utilizing the heart rate variability sequence analysis technology, the operation is simple, and the applicability is good.

The invention relates to a liquid chromatography method for effectively separating and analyzing agomelatine and synthetic intermediates as well as impurities. The agomelatine is a melatonin excitant, has a depressive symptom resistance effect and can improve the night sleeping condition under the condition without influencing the daytime activity state. The invention aims at providing the efficient liquid chromatogram method for separating the agomelatine and the synthetic intermediates as well as the impurities. A octadecyl silane bonding silica gel filling chromatographic column is adopted so that a flowing phase A (organic phase) and a flowing phase B (water phase) prepared from buffer solution (with the pH being 6 to 7) and organic solvents according to different proportions are used as flowing phases, the flowing rte is 1.0ml/min, the gradient elution is carried out, and the separation and the analysis determination of the agomelatine and the synthetic intermediates as well as the impurities are realized.

The embodiment of the invention provides a night erection detection device. The night erection detection device is used for monitoring the penile erection condition of a patient at night and comprisesbioelectricity glue and a collector which is connected with the bioelectricity glue, wherein the bioelectricity glue is worn or attached to the penis part of the patient and is used for generating electric glue deformation when the penis of the patient is erected and generating corresponding resistance data according to the electric glue deformation, and the bioelectric glue is strip-shaped; thecollector is worn or placed near the penis of the patient and used for collecting resistance data of the bioelectricity glue and uploading the resistance data to a medical server for processing. The wearing experience of the patient is improved, the sleep quality of the patient is guaranteed, and then the erection detection accuracy of the patient during night sleep is improved; and besides, the bioelectricity glue is detachably connected with the collector, so that the bioelectricity glue can be replaced at any time to keep the night erection detection device clean.

The present invention discloses a night sleep mode starting method. The method comprises: when detecting that a starting trigger condition of a night sleep mode is met, acquiring an application process clearing manner, wherein the night sleep mode is an operating mode where an application in an electronic device is in a power-saving state; and according to the application process clearing manner, clearing a currently running service process of a target application so as to execute the night sleep mode. The embodiments of the present invention further disclose a night sleep mode starting apparatus and an electronic device. By adopting the method and apparatus, and the electronic device, which are disclosed by the embodiments of the present invention, the running service process can be timely cleared when starting the night sleep mode, so as to save power and prolong standby time.

The invention discloses a method for using bedding according to temperature changes. The method comprises the steps of 1, collecting a current indoor temperature, and setting the current indoor temperature as Tn; 2, collecting a current wind reduced temperature Tw; 3, calculating a synthetic temperature Tsyn; 4, calculating a warmth-keeping amount Ie.r required by a human body; 5, when the warmth-keeping amount Ie.r required by the human body is equal to a total heat resistance value of a bedding system, calculating a unit area weight of the bedding according to the total heat resistance valueof the bedding system; 6, calculating a total weight of the bedding according to a total area of the bedding and the unit area weight of the bedding; and 7, selecting the required bedding according to the total weight of the bedding. The method solves the problems that relatively high night sleep comfort is difficult to achieve and the like because the experience-based adjustment of the use weight of the bedding according to the indoor temperature by people is not scientific in the prior art.

The invention discloses a sleep quality evaluation method. The method comprises the following steps: S1, monitoring all-night sleep of a subject to obtain an all-night sleep staging chart; S2, analyzing the all-night sleep staging chart, calculating seven index values including the total sleep duration, the sleep latency, the awakening frequency, the total awakening duration ratio, the REM period ratio, the light sleep period ratio and the deep sleep period ratio, and then dividing the four indexes including the total sleep duration, the REM period ratio, the light sleep period ratio and the deep sleep period ratio into first-type indexes, dividing the sleeping latency, the awakening frequency and the awakening total duration proportion are divided into second-type indexes; S3, calculating single scores of the seven indexes respectively; S4, comprehensively weighting the scores of the indexes to obtain a total score; evaluating the sleep quality according to the obtained total score, if the total score is larger than or equal to 80, indicating the sleep quality is good, wherein the higher the score is, the better the sleep quality is; and if the total score is lower than 80, indicating the sleep quality is poor.

The invention provides medicinal granules for promoting heat clearing and appetite stimulation of infants. The medicinal granules consist of the following raw materials in parts by weight: 4-6 parts of coix seed extract, 2-3 parts of red bean extract, 5-8 parts of malt extract, 3-5 parts of hawthorn extract, 4-6 parts of lophatherum gracile extract, 3-5 parts of chicken's gizzard-membrane extract, 2-4 parts of liquorice root extract, 8-10 parts of cactus, 5-8 parts of sorbitol, 6-9 parts of xylitol, 2-4 parts of jackfruit, 3-5 parts of hawthorns, 6-8 parts of zinc oxide, 2-4 parts of fructo-oligosaccharide, and 15-45 parts of water. The medicinal granules provided by the invention have the beneficial effect of dispelling wind to relieve convulsion, clearing away heat and toxic materials, clearing away heat to concentrate attention, calming for peaceful sleeping, and improving digestion. When an infant has hot air, dysphoria, easy crying, night sleep restlessness, and loss of appetite, and other symptoms can be caused. The product is beneficial to helping stimulate the appetite, eliminating stagnation, clearing away heat to concentrate attention and helping improve the sleeping quality of the infants after being taken.

The invention discloses a classification detection system for various apnea syndromes based on an Efficient NeT neural network, and belongs to the field of snore detection and disease discrimination.The system comprises an audio collection module, a snore extraction module, a feature extraction module, a snore recognition module and a statistical judgment module, and the audio collection module is used for collecting audios of a detected patient in the whole night sleep state; the snore extraction module is used for extracting all snore segment audios in the complete audio; the feature extraction module is used for carrying out feature extraction on the collected snore sections; the snore recognition module is used for automatically recognizing and detecting various snores of all snore sections by using a model based on the Efficient NeT neural network; and the statistical judgment module is used for carrying out statistics on various snore conditions and completing classified detection on various apnea syndromes according to the AHI indexes.

The present invention discloses a night sleep message display method, comprising the steps of obtaining message reminding modes of a night sleep mode when a starting trigger condition of the night sleep mode is satisfied, the night sleep mode being an operating mode of applications in an electronic device in a power saving state; and displaying reminding messages of starting the night sleep mode according to the message reminding modes, the reminding messages being used for reminding a user to start the night sleep mode. Embodiments of the present invention also disclose a night sleep message display apparatus and an electronic device. By adoption of the embodiments, a plurality of display modes are provided to remind the user to start the night sleep mode timely, electric quantity is saved, and service lifetime of the electronic device is prolonged.