232 results about "Circadian rhythm" patented technology

A Circadian Rhythm Monitoring and Regulation (CMR) system and method that includes: a novel non-obtrusive wearable system for increasing the health and productivity of warfighters or other individuals that are disrupted by excessive, abnormal shifts in work or flights across multiple time zones. The CMR system is based on advanced sensor and software technology and models of human circadian system phototransduction and a circadian stimulator oscillator developed by applicants. It measures circadian misalignment and provides lighting suggestions for circadian rhythm maintenance and realignment.

In various examples, circadian rhythm-based data augmentation for drowsiness detection systems and applications are provided. Embodiments described herein may produce an estimated circadian rhythm for a test subject and / or vehicle driver or other machine operator or occupant, and use the pattern of that circadian rhythm to correct, confirm, calibrate, or otherwise augment drowsiness assessments derived from video image data. The position of a person in the context of their process C circadian cycle may be used as indication of their level of drowsiness. An estimated process C circadian cycle may be used to generate more accurate ground truth training data for training machine learning models, and may be used by real-time, in-vehicle drowsiness detection systems that infer driver drowsiness levels based on captured images. In various embodiments, a circadian rhythm drowsiness estimate may be used to correct, calibrate, augment, and / or replace a drowsiness score predicted by a machine learning model.

The invention relates to the field of insect behavioristics, in particular to a method for continuously monitoring movement, sleep and circadian rhythm of diptera insect fruit flies in real time, which comprises the following steps: S1, preparing fruit fly food; s2, taking an acrylic tube A with holes in two ends, adding 2cm of solid food into one end of the acrylic tube A, putting the fruit flies into the acrylic tube A, and plugging the other end of the acrylic tube A with a 2cm tampon; s3, two acrylic pipes B with holes formed in the two ends are arranged in the acrylic double-opening pipe A in a sleeving mode, and an A and B combined device is formed; s4, screwing the A and B combined device into an acrylic double-head pipe C to form an A, B and C combined device; s5, putting the A, B and C combined device into an LAM25 monitor for monitoring; and S6, analyzing the data through software for sleep and circadian rhythm analysis. On the basis of an original insect behavior monitoring system, a research object is excluded to the species of the fruit flies, a monitoring device is optimized according to monitoring data, and an accurate method for monitoring movement, sleep and circadian rhythm states of the fruit flies is established.

A system of adjusting the phase of a user's circadian rhythms, said system comprising: a high EML light source configured for delivering pulsed high EML light in a pulsed mode of operation, wherein the pulsed high EML light has a frequency and intensity sufficient to effect circadian phase adjustment in said user, and secondary functionality comprising transmitting electromagnetic radiation (EMR) to said user.

In various examples, circadian rhythm-based data augmentation for drowsiness detection systems and applications are provided. Embodiments described herein may produce an estimated circadian rhythm for a test subject and / or vehicle driver or other machine operator or occupant, and use the pattern of that circadian rhythm to correct, confirm, calibrate, or otherwise augment drowsiness assessments derived from video image data. The position of a person in the context of their process C circadian cycle may be used as indication of their level of drowsiness. An estimated process C circadian cycle may be used to generate more accurate ground truth training data for training machine learning models, and may be used by real-time, in-vehicle drowsiness detection systems that infer driver drowsiness levels based on captured images. In various embodiments, a circadian rhythm drowsiness estimate may be used to correct, calibrate, augment, and / or replace a drowsiness score predicted by a machine learning model.

The invention discloses a humanoid robot walking and running unified control method and system based on a biological rhythm, and belongs to the technical field of humanoid robots. Capturing human walking and running action data, and extracting rhythm features from frequency and phase time domains; constructing a rhythm generator based on the rhythm features extracted in the step 1; according to a strategy gradient method based on a constraint reinforcement learning algorithm, a walking and running unified control strategy is constructed, rhythm information generated based on a rhythm generator is adopted in the walking and running unified control strategy, then action-critic is used for training, a bionic motion control system Walk2Run under speed driving is jointly constructed, natural gait transition and frequency adjustment are achieved, and the walking and running unified control strategy is obtained. And meanwhile, the physical capacity limitation of the robot is met, and motion fluency and energy efficiency are improved. The problems that an existing humanoid robot does not achieve energy optimization of human walking during walking, and mobility of an existing data set has high requirements for the motion ability of the robot and is poor in generalization ability are solved.

The invention relates to the crossing field of computer technology and biomedical engineering, and discloses a miniaturized intelligent blood glucose monitoring and analyzing method integrating edge computing. The method comprises the steps that glucose concentration and time sequence multi-source physiological signals are collected through a wearable sensor; performing data segmentation and multi-modal feature alignment based on the circadian rhythm; inputting the features into a lightweight student model obtained through knowledge distillation for blood glucose prediction; and the reasoning frequency is adaptively adjusted in combination with a memory feedback mechanism. The system comprises a sensing unit, a preprocessing unit, a lightweight model execution unit and a risk early warning unit. While the prediction precision is guaranteed, the model is compressed to be within 150 thousand parameters, a 512 KB on-chip memory is adapted, and low-power-consumption and high-stability end-side continuous blood glucose monitoring and early warning are achieved.

The invention relates to the technical field of medical monitoring, in particular to a monitoring and early warning system for adverse reactions after vaccination, which comprises a circadian rhythm recognition module, an extreme value offset processing module, a stage reaction mapping module, an abnormal grade recognition module and a linkage path judgment module. According to the method, a cross matching relation between abnormal response and rhythm change is established through positioning of a day and night body temperature extreme value interval midpoint before and after inoculation and continuous tracking of a time axis coordinate change trend, and whether the abnormality has rhythm driving characteristics or not is judged through a time period alignment relation between abnormality occurrence time and a rhythm offset interval. According to the method, an early warning path identification chain is constructed, participation items are expanded to sequence trend change, rhythm structure axial displacement, abnormal signal coverage rate and other elements, the sensitive capture capability for potential risks of adverse reactions after vaccination is improved, and the linkage early warning output capability for time-structure dual abnormal performance is also enhanced.

The invention relates to the technical field of intelligent breeding, in particular to a dairy cow nutritional requirement dynamic evaluation method and system, and the method comprises the following steps: S1, calculating a circadian rhythm phase parameter; s2, establishing fiber-decomposing bacteria activity coefficients under different rhythm phases; s3, correcting the theoretical digestibility of the NDF in the roughage according to the activity coefficient of the cellulose-decomposing bacteria obtained in the S2; s4, calculating dynamic basic metabolism energy consumption for maintaining the body temperature and behavior activities in combination with data of an environment temperature and humidity sensor; s5, outputting the day and night distribution proportion of protein and energy substances; and S6, controlling a feed feeding time sequence according to the rumen pH fluctuation threshold value. By monitoring the day and night rhythm and rumen environment state of the dairy cow in real time and dynamically regulating and controlling the precise proportion and feeding time sequence of the fine and coarse feed, the feed utilization efficiency is effectively improved, high cooperation of nutrition supply and physiological needs of the dairy cow is guaranteed, and the production performance and breeding economic benefits of the dairy cow are improved.

The invention discloses an intelligent control method for an analgesia pump based on deep learning. The intelligent control method comprises the following steps: S1, acquiring multi-modal original signals of a postoperative patient and synchronously normalizing the multi-modal original signals; s2, removing artifacts and noise in the synchronous data, and performing interpolation compensation on missing data; s3, carrying out modal reliability weight distribution on the sensing sequence based on a Hemma optimization algorithm; s4, inputting the node set into a PainNet relation statistical network to generate a dynamic graph topological structure; s5, predicting the pain score of the patient in the future, and generating a low-dose high-frequency micro-pulse administration instruction; s6, according to the circadian rhythm of the patient, dynamically adjusting the edge weight and the administration interval of the PainNet network; and S7, when the pain score fluctuation exceeds the limit, triggering an emergency mode, quickly converging to the most conservative parameter combination, and outputting a safety locking instruction. According to the invention, the control accuracy and safety of postoperative analgesia are improved.

A circadian rhythm-based time-sharing repair formula and use thereof. A day composition focuses on anti-oxidation, stress resistance and energy metabolism to resist oxidative damage and enhance day vitality and provide long-lasting antioxidation protection. A night composition focuses on DNA repair, anti-inflammation and nerve relaxation to promote cell regeneration and repair and continuously support night repair. The composition of the day composition and the night composition designed according to the circadian rhythm of human metabolism causes the corresponding activities to take effect at the best time, and components are designed to cooperate with each other according to different physiological needs during the day / night, which can greatly improve the anti-aging effect.

The invention relates to the technical field of air traffic management, and discloses an in-post controller fatigue prediction method based on a work type and a circadian rhythm, and the method comprises the steps: obtaining a face video frame in a controller post, and carrying out the calculation to obtain a PERCLOS time sequence representing an eyelid closing proportion; obtaining an exogenous factor related to the control task; the PERCLOS time sequence and the ectogenic factors are coded and input to a trained time sequence neural network model, and the time sequence neural network model is configured to apply different weights to the work types, the circadian rhythms and the work requirements so as to carry out differential modeling; and generating a fatigue level curve covering a preset prediction time window based on the output of the time sequence neural network model. The invention aims to solve the technical problems that a fatigue monitoring method in the prior art is lagged in response and insufficient in adaptability to dynamic working scenes, and provides a method capable of actively and accurately predicting the future fatigue development trend of the controller.

A wearable device may include a biofluid generation unit, a microfluidic channel for transporting the biofluid, and a sensing module including one or more electrochemical aptamer-based sensors having attached reporters that are displaceable by a target analyte. A wearable device may include electrodes for producing a potential sufficient for exchanging charged particles with the displaced reporters. A wearable device may include a processor for executing computer readable instructions including causing activation of the electrodes to exchange the charged particles with the displaced reporters, receiving a measurement of the exchanged charged particles, determining a concentration of the target analyte in the biofluid based on the received measurement, detecting a circadian rhythm based on the determined concentration; and generating an individualized set of circadian entraining factors based on the detected circadian rhythm to guide a user towards an improved circadian rhythm.

A method for improving human circadian health and protecting the eyes from high-energy visible blue light while performing activities during daytime and nighttime hours wherein an eyewear device is selected and positioned in front of the eyes of a person such that the lenses of the eyewear device substantially filter the light received by the eyes. In some variations, the lenses of the selected eyewear device for use during daytime hours provide eye protection from high-energy visible blue light and provide a transmittance of circadian blue light that is between 100 percent to 150 percent relative to the luminous transmittance of the lenses. In some variations, the lenses of the selected eyewear device for use during nighttime hours provide a transmittance of circadian blue light that is less than 40 percent, or less than 25 percent, or less than 15 percent relative to the luminous transmittance of the lenses.

The invention discloses a circadian rhythm-based cosmetic raw material in-vitro repair efficacy evaluation method, and belongs to the field of cosmetic evaluation, and the method comprises the following steps: S1, HDFA human dermal fibroblast culture, and RAW264.7 mouse macrophage culture; s2, determining the detection concentration of the cosmetic raw materials through cell viability detection; s3, inducing HDFA human dermal fibroblasts with blue light, and detecting the expression quantity of the clock gene BMAL1 and / or CLOCK; s4, after cell scratches of the HDFA human dermal fibroblasts are made, the HDFA human dermal fibroblasts are induced by blue light, and the healing area of the cell scratches is detected; s5, inducing the RAW264.7 mouse macrophage model by virtue of an induction drug lipopolysaccharide, and detecting the expression quantity of a clock gene Dbp and / or Rev-erbalpha; s6, processing and analyzing detection results of the steps S3 to S5, and scoring the detection results; and summarizing all detection index scores. Different cell model detection results are combined, the repairing function of the cosmetic raw materials is subjected to multi-dimensional evaluation, the evaluation accuracy is improved, and the evaluation process is rapid and efficient.

The present invention finds the effect of ATXN2 and / or ATXN2L in circadian rhythm. Thus, the present invention provides methods, medicaments and uses for modulating circadian rhythm in a subject. Meanwhile, the invention further provides a method for detecting the circadian rhythm of a subject and a biomarker capable of indicating circadian rhythm abnormity. The invention provides a brand new way and means for adjusting the circadian rhythm.

The invention provides a pressing type sweat component detection sensor which comprises a silk-screen printing sensing layer, a patterned bonding layer, a hydrogel loading well and a palm pressing outer frame which are sequentially arranged from bottom to top, and the silk-screen printing sensing layer comprises detection electrodes corresponding to fingertips in position; a loading opening is formed in the position, aligned with the detection electrode, of the hydrogel loading well, the loading opening is filled with hydrogel, and the detection electrode is used for forming an electrochemical signal related to the content of a to-be-detected component in sweat during detection. The pressing type sweat component detection sensor has the capacity of rapidly and accurately detecting the level of components such as cortisol in fingertip sweat, and the cortisol level can be measured under various pressure scenes and the circadian rhythm of daily activities through the sensor.

The invention discloses a ctEVs separation and analysis method with time resolution capability and application thereof. The ctEVs separation and analysis method comprises the following steps: S1, culturing cells by adopting glycometabolism markers; or injecting the animal by adopting a glycometabolism marker; step S2, manufacturing a fishbone-shaped micro-fluidic chip modified by streptavidin; s3, separating and analyzing the new tumor source extracellular vesicles by the micro-fluidic chip, and co-incubating the extracellular vesicles and the aptamer probe co-modified by Biotin and DBCO to realize biotinylation of the new tumor source extracellular vesicles; the aptamer probe is a heterologous multivalent aptamer probe; step S4, capturing biotin-labeled target extracellular vesicles by adopting a chip; and S5, acquiring a chip image by using a fluorescence microscope, and analyzing the concentration of the target extracellular vesicles in the sample according to a fluorescence signal. The method can be used for screening tumor circadian rhythm markers and the like.

The invention belongs to the technical field of medical care, and relates to a circadian rhythm real-time extraction method based on a wearable body motion recorder. The method comprises the following steps: acquiring physiological data related to a human body circadian rhythm by using a wearable body motion recorder; setting the highest sub-harmonic number of a to-be-extracted circadian rhythm component, and constructing a state equation of a constant deviator, a main frequency and each harmonic component of the adaptive filter; training data are selected, a circadian rhythm frequency band range extracted by the filter is set, and a target function used for determining undetermined parameters of the adaptive filter is established; optimizing the objective function, and determining an adaptive filtering optimal parameter; and inputting the test data into the filter with the optimal parameter, and determining the circadian rhythm amplitude-frequency parameter and phase at the current moment by using the historical state of the filter and the data at the current moment. The method is good in real-time performance, wide in application range, high in accuracy and low in testing cost.

The present invention relates to the field of medicine and of dietary supplements, in particular the technical (i.e. medical-pharmaceutical or food-technology) field of sleep problems and sleep disorders. In particular, the present invention relates to a dosage form, in particular a dietary-supplement dosage form or pharmaceutical dosage form, in particular for oral administration, preferably for promoting or supporting sleep health or sleep behavior or preferably for use in the prophylactic or therapeutic treatment of sleep disorders or dysregulation of the natural day / night rhythm or the circadian rhythm.

A circadian phase adjustment method, system and device, and a storage medium, the method comprising: acquiring circadian phase information of a user, including target sleep time and target wake time of a target day; obtaining a target value of rhythm phase shift of the target day based on the target falling-asleep time and the target awakening time; a target cumulant of the light dose cumulant is obtained based on the target value of the rhythm phase migration by using a phase prediction model, and the phase prediction model is a relation model of the rhythm phase migration and the light dose cumulant; acquiring an actual cumulant of the light dose cumulant based on the light environment information; and judging whether the actual cumulant of the user at the current detection moment meets the requirement or not based on the target cumulant, and executing the light intervention operation if the actual cumulant does not meet the requirement. According to the method, the target value of the light dose cumulant required by the user on the target day is quantified, intervention is performed based on the actual light dose cumulant, and the accuracy of circadian rhythm phase adjustment is improved.

This invention belongs to the technical field of sleep quality analysis, specifically relating to a sleep quality analysis system and method based on sensors in a medical bed, to address the technical problem of existing methods relying too heavily on duration statistics while neglecting the continuity and circadian rhythm of sleep. The analysis method includes: S1, acquiring vital sign signal data collected by sensors in the medical bed within a sleep cycle and dividing it into multiple continuous time segments; S2, extracting physiological indicators such as respiratory rate, heart rate, and body movement amplitude within each time segment, and calculating the variability depth of the corresponding time segment; S3, generating a variability depth baseline; calculating non-steady-state disturbance factors based on the frequency and duration of micro-awakening disturbance segments; and S4, generating a comprehensive sleep quality score. The analysis method of this invention improves the comprehensiveness and objectivity of the assessment results, more realistically reflecting sleep health status.

The purpose of the present disclosure is to provide a device and a method for easily deriving the sleep quality of a user.　In a server 100 of the present disclosure, a log acquisition unit 103 acquires log information of a portable terminal 200 (user terminal) which is used by a user. On the basis of the log information, an estimation unit 108 estimates a user situation (sleep time, terminal use situation immediately before bedtime, sleep environment, circadian rhythm, etc.) that affects sleeping. Then, the estimation unit 108 estimates (corresponding to deriving) the sleep quality of the user on the basis of the user situation.

The present invention provides a package of a micronutrient supplement for promoting the digestive function of the intestinal tract of a body, the micronutrient supplement consisting of two types of unit dosage forms in one package for sale to a purchaser wherein the first type of unit dosage form contains VB6 and a compound thereof, and the second type of unit dosage form contains VB6 and a compound thereof. The first type of unit dosage form contains Zn and compounds thereof, the second type of unit dosage form contains Zn and compounds thereof or VD and compounds thereof, and the first type of unit dosage form does not contain Zn and VD, and the second type of unit dosage form does not contain VB6, the micronutrient supplement being provided in a manner of administration twice a day, the first type of unit dosage form is taken in an awakening period, and the second type of unit dosage form is taken in a sleep period. The packaging product can be matched with the biological clock rhythm of an organism, the absorption and utilization rate of micronutrients is increased, and then the intestinal digestion function is improved.

The application relates to a compound medicine for delaying skeletal muscle aging and application thereof, and the medicinal active components in the compound medicine composition are composed of menadione bisulfite sodium and N-acetyl cysteine, and belong to the technical field of biological medicine. A novel drug combination mode is developed, an oxidant menadione bisulfite sodium (MBS) and an antioxidant N-acetyl-L-cysteine (NAC) are combined and given in different time periods to regulate the H2O2 circadian rhythm of the skeletal muscle of old mice, the changes of the muscle strength, histopathology and aging marker protein level of the skeletal muscle of the old mice are detected, and then the precise compound medicine capable of improving the skeletal muscle function of the old mice and delaying skeletal muscle aging is determined. The application provides an effective drug combination strategy for relieving or treating the delay of skeletal muscle aging, and has very significant meaning.

A testing device and testing method of a hydrocephalus shunt valve. It relates to the technical field of medical device testing. The long-term reliability and adaptability of the shunt valve can be simulated in a complex physiological environment. The testing device of the hydrocephalus shunt valve comprises a controller, a body position simulation device, an ICP pressure chamber, an IPP pressure chamber, a backflow pump, a flow sensor and a circulating pipeline. The body position simulation device comprises a support, a pair of long arms simulating the human torso and a pair of short arms simulating the human head and neck, and a motor one driving the pair of long arms to swing and a motor two driving the pair of short arms to swing. The present application combines the in-vitro hardware testing platform with different patient physiological models, can reproduce physiological characteristics such as basic body position posture change, body temperature circadian rhythm fluctuation and long-term applicability, and realizes the in-vitro testing of the shunt valve quickly, at low cost and with high authenticity. The present application can quantify the performance of the shunt valve in a real physiological environment.

A 2-[2-({12,12-dimethyl-4-oxo-6-phenyl-3,11-dioxatricyclo[8.4.0.0,2,7]tetradeca-1,5,7,9-tetraen-8-yl}oxy)acetamido]benzamide compound and related derivatives, as well as the use thereof in the preparation of a medicament for treatment and / or prevention of diseases or disorders associated with the circadian rhythm are provided. The compound of the invention is a CLOCK-binding small molecule and also an inhibitor of CLOCK:BMAL1 interaction, and is therefore useful, as pharmaceutical agent, especially in the treatment and / or prevention of disorders associated with the circadian rhythm.

An example computing device includes a memory; and one or more processors coupled to the memory, the one or more processors being configured to: determine a baseline circadian pattern of blood pressure for a patient over a first period of time; determine a subsequent circadian pattern of blood pressure for the patient over a second period of time, the second period of time being after the first period of time; determine one or more differences between the subsequent circadian pattern and the baseline circadian pattern; determine, based on the one or more differences between the subsequent circadian pattern and the baseline circadian pattern, whether the patient is a candidate for denervation therapy; and output, responsive to determining whether the patient is a candidate for the denervation therapy, an indication of whether the patient is or is not a candidate for the denervation therapy.

The invention relates to an effect of an REV-ERBalpha agonist SR9009 in the aspect of delaying ovarian senescence, and aims at the problem of fertility decline caused by cliff-type decline of ovarian functions of women over 35 years old, the SR9009 is applied to activate an REV-ERBalpha circadian rhythm signal channel in ovarian tissues, inhibit excessive autophagy of granular cells and maintain a primordial follicle dormancy state, so that the agonist SR9009 can be used for delaying ovarian senescence. Therefore, the original follicle depletion speed is delayed, follicle storage is maintained, and the ovary reproductive function cycle is prolonged. The effect is verified by a mammal model: REV-ERBalpha protein expression in an ovary of an aging individual is reduced, rhythmicity expression is disordered, autophagy of granulosa cells can be effectively inhibited in the ovary of the aging individual intervened by the SR9009, and the number of residual primordial follicles and the number of total follicles are obviously greater than those of an untreated control group. The invention provides an innovative treatment strategy of targeted rhythm regulation and control for clinical intervention of ovarian aging.

The present application relates to a kind of circadian rhythm-based circulating water aquaculture fish pond dissolved oxygen mechanism modeling method, including the influence of fish respiration consumption, water surface atmospheric reoxygenation, circulating water flow, mechanical aeration factor on dissolved oxygen dynamic change;According to oxygen transfer equation, considering the influence of the above four factors on fish pond dissolved oxygen, the dissolved oxygen mechanism model of circulating water aquaculture fish pond is established;Combined with oxygen transfer equation and the characteristics of fish respiratory activity changes between day and night, the influence of fish respiratory circadian rhythm on the model is analyzed, and the model is verified.The present application can more accurately reflect the high and low peak value in different time periods and also capture the dynamic changes presented in the whole cycle, and effectively avoid the loss and risk caused by the inaccurate model description to the aquaculture industry in extreme breeding environment or abnormal environment.