52 results about "Rapid Eye Movements" patented technology

This invention relates to a method for treating and preventing neurological disorders related to rapid-eye-movement (REM) sleep disturbances in a mammal comprising administering to the mammal an amount of an NPY Y5 receptor antagonist which effectively reduces REM sleep.

The invention provides an acousto-optic sleep intervention system and method based on electroencephalogram signals. The method includes the steps: acquiring, processing and analyzing the electroencephalogram signals in real time during sleep through a universal electroencephalogram acquisition system; staging sleep by a data mining method; intervening through the sound and light in the REM (rapid-eye-movement) period of sleep and shallow sleep to achieve the purpose of improving sleep quality. The system includes a sleep electroencephalogram acquisition module, a sleep electroencephalogram staging module, and a sleep intervention module; the sleep electroencephalogram acquisition module is used to acquire the electroencephalogram signals that have continuously changed during sleep, the electroencephalogram signals after the output, and the extracted electroencephalogram characteristic information; the sleep electroencephalogram staging module is used to staging the sleep electroencephalogram characteristic information with trained sleep staging models; the sleep intervention module is used for selecting a suitable sleep intervention program based on the staging results, and the subject undergoes double intervention of sound and light.

An embodiment of the invention provides a sleep stage determining method and a sleep stage determining system. The sleep stage determining method includes: determining a first electrocardio characteristic parameter of an electrocardio signal, and determining whether a sleeper is in a waking stage or an REM (rapid eye movements) sleep stage or not within a time segment by means of judging whether the first electrocardio characteristic parameter satisfies a characteristic of the waking stage or the REM sleep stage or not within the time segment. Determination of a macro sleep structure is achieved by means of distinguishing the waking stage, the REM sleep stage or other similar sleep stages. Sleep stage determination is achieved by means of rule judgment, and accordingly, accuracy of sleep stage determination is guaranteed. Moreover, a sleep stage classifier can be used cooperatively to achieve comprehensive judgment on the sleep stages and can be used for classifying other kinds of sleep stages into a light sleep stage and a deep sleep stage so as to achieve a micro sleep structure, and accordingly, accuracy of sleep stage judgment is further improved.

Methods of increasing tonic inhibition in a subject in need thereof, for example a subject with Fragile X syndrome or Angelman syndrome are disclosed. Methods of treating secondary insomnia in a subject with a neurodegenerative disease or disorder are also disclosed. The methods can include administering the subject an effective amount of 4,5,6,7-tetrahydroisoxazolo(5,4-c)pyridin-3-ol (THIP) or a derivative thereof, or a pharmaceutically acceptable salt thereof, increase tonic inhibition in neurons of the subject; to increase slow wave sleep (SWS) and/or slow wave activity (SWA), normalize sleep architecture, reduce secondary insomnia, increase non-rapid eye movement (NREM) sleep, increase sleep continuity, enhance delta activity within NREM, increase or improve total sleep time (TST), increase or improve sleep efficiency, reduce total time awake (TAA), reduce number of awakenings (NWA), reduce latency to persistent sleep (LPS), or to reduce wake after sleep onset (WASO), in the subject, or any combination thereof.

Methods and systems for diagnosing or assessing rapid eye movement sleep behavior disorder (RBD). Muscle tone or activity variance during rapid eye movement (REM) and non-rapid eye movement (NREM) sleep intervals of a polysomnogram are compared. A threshold based on the NREM data is used to identify a subject-specific threshold for abnormality in the REM variance. A metric that includes the percentage of REM variance exceeding the threshold relates to RBD.

Methods to prepare a bio-replenishment (BioRep) with specific combinations of S-adenosylmethionine (SAMe), lactoferrin (LF) and ribonuclease (RNAse) to restore regular sleep pattern are described. Additionally, compositions of functional delivery systems that recreate both alternate phases of non-rapid eye movement (NREM) and rapid eye movement (REM) sleep cycles are disclosed. These methods and compositions have implications in the clinical management of various sleep disorders including insomnia, circadian rhythm disorders and obstructive sleep apnea.

A sleep quality management apparatus includes a sensor module and a processing unit. The sensor module is configured to provide a heart rate signal and a skin conductance signal. The processing unit is coupled to the sensor module. The processing unit is configured to determine a sleep stage and a stress level according to the heart rate signal and the skin conductance signal so as to identify a stressful dream occurrence. The stressful dream occurrence is identified when the sleep stage corresponds to a rapid eye movement (REM) stage and the stress level corresponds to a stressful state.

The invention discloses a rendering control method, a rendering control device and a mobile terminal. The method comprises the following steps of promoting a refresh rate value of a front camera to a preset target refresh rate value from a default refresh rate value when the mobile terminal opens a virtual reliability application; figuring out a fine rendering region according to the target refresh rate value obtained after promotion and the current point of regard of a user on a screen of the mobile terminal in order to carry out fine rendering on pixel points in the fine rendering region; carrying out normal rendering processing on other regions outside the fine rendering region; and lastly, presenting a rendered picture to the user on the screen. The invention has the following beneficial effects that the precise rendering region is determined by the target refresh rate value which can be better adaptive to the rapid eye movement than the existing fixed refresh rate value, the obtained precise rendering region can better cover the visual range of the user, the user is prevented from perceiving a rough rendering picture outside the fine rendering region during the rapid eye movement, and the visual perception and the satisfaction of the user are improved.

A method and system for characterizing breathing in an organism are disclosed. The method acquires data values indicative of periodic respiratory function, for example, tracheal sound envelope data acquired during a period of time associated with a sleep period of the organism. The method defines a first subset of data values among the data values and a second subset of data values among the data values. Cross-correlating the first and second subsets of data values yields a first result vector which is truncated, normalized, and output. These steps are optionally repeated for other subsets of data. From the resulting output, the organism's average respiratory rate may be determined. In addition, periods of time corresponding to sleep, wakefulness, rapid-eye movement (REM) sleep, and non-REM sleep may be identified. The time it takes the organism to fall asleep may also be determined.

A device and related methods are provided. The device may be for the treatment and detection of various medical and non-medical conditions, including for detecting and treating snoring and sleep apnea, for detecting rapid eye movement of a sleeping person, and for detecting drowsiness or sleepiness of a person. The device may include an alert indicator for providing alerts to the person and a sensor configured for sensing one or more conditions of the person and communicating the condition to the alert indicator.

The invention provides an automatic temperature adjusting air conditioner based on user deep sleep, an air conditioner system and a control method. Different sleep periods where a human body stays areobtained by collecting and processing the heart rates or respiration rates of a plurality of people; the output refrigerating capacity can be adjusted timely according to the different sleep periodswhere the human body stays; the refrigerating capacity is decreased step by step by adjusting the refrigerating capacity output in the falling asleep period, the rapid eye movement period, a light sleeping period, a sound sleeping period and a sleep sleeping period, and accordingly the indoor temperature is maintained to be in an optimal temperature interval. When there are the multiple people ina room, the control priority of the system is transferred to the person who falls asleep firstly and enters in the deep level sleep firstly, when other people enters in the deeper level sleeping period, and then the control right of the system can be transferred. The heart rate or the respiration rate of the person who possesses the control right of the system joins to adjust the output refrigerating capacity exclusively, and the heart rate or the respiration rate of other people cannot join to adjust the output refrigerating capacity. When there are old people and children in a room, the control priority of the system is transferred to the old people and the children, therefore protection to the human body is enhanced, and the automatic temperature adjusting air conditioner benefits the health of the human body.

A device and method for sleep monitoring, in particular to a device and method for determining time-to-sleep and wake periods during sleep and to a device and method for determining rapid eye movement (REM) sleep and non REM (NREM) sleep. The method for determining time-to-sleep and wake periods during sleep comprising the steps of obtaining motion data representative of motion of a user; detecting the time-to-sleep from the motion data based on a first time-above-threshold (TAT) threshold and a first proportional integration method (PIM) threshold; and detecting the wake periods during sleep from the motion data based on a second TAT threshold and a second PIM threshold.

The invention discloses a sleep state analysis method. REM (Rapid Eyes Movement) sleep can be recognized via body movement information in combination with vegetative nerve balance analysis. Thus, the objective sleep quality of a patient is further evaluated more accurately via awakening, stable or instable sleep and REM sleep conditions.

The invention relates to a sleep staging monitoring method. The method carries out sleep staging monitoring by taking multi-dimensional vital sign parameters such as continuous heart rate, respiration rate and body movement as identification basis, and realizes accurate identification of an awakening period, a rapid eye movement period and a non-rapid eye movement period.

A computing machine receives sensor data representing airflow or air pressure. The computing machine determines, using an artificial neural network, a current sleep stage corresponding to the sensor data. The current sleep stage is one of: wake, rapid eye movement (REM), light sleep, and deep sleep. The artificial neural network comprises a convolutional neural network (CNN), a recurrent neural network (RNN), and a conditional random field (CRF). The computing machine provides an output representing the current sleep stage.

The invention discloses a rapid eye movement period sleep behavior disorder classification method based on sleep electroencephalogram. The method comprises the following steps: preprocessing an acquired sleep electroencephalogram signal of a patient, acquiring an electroencephalogram signal of an electroencephalogram interval in a sleep R period, cutting according to a preset signal length to acquire a plurality of sub-signal segments, layering an original electroencephalogram signal of each sub-signal segment, and enabling a frequency domain component after wavelet transform to approximatelycorrespond to different wave bands of original electroencephalogram according to the frequency of the electroencephalogram; carrying out empirical mode decomposition (EMD) to obtain a multilayer intrinsic mode function (IMF); performing feature extraction on the electroencephalogram signals of different wave bands and the multilayer intrinsic mode function, and performing dimensionality reductionon the feature set PCA to obtain a low-dimensional feature set; and carrying out classification and identification by using the feature set after dimension reduction, and classifying patients suffering from Parkinson's disease accompanied by rapid eye movement sleep disorder, Parkinson's disease not accompanied by rapid eye movement sleep disorder and idiopathic rapid eye movement period sleep behavior disorder. Complex PSG detection is simplified into electroencephalogram detection, a whole night does not need to be consumed, the number of times of measurement is reduced, an accurate recognition result is obtained, and then a very good auxiliary effect can be achieved on treatment of the illness state of a patient.

The embodiment of the invention provides a method and a device for improving the sleep quality, and intelligent wearable equipment. After a user falls asleep, the sleep stages of the user are monitored, the exercise intensity of the user in the non-sleep time period is acquired after it is monitored that the user enters a deep sleep period, and if the exercise intensity of the user is greater thanor equal to a preset exercise intensity threshold, audio playing equipment is notified to play deep sleep brain wave audio so as to trigger brain wave resonance of the user and prolong deep sleep duration in order to make the body of the user have a full rest; and after the user is monitored to enter the rapid eye movement period, the mental pressure of the user in the non-sleep time period is acquired, and if the mental pressure of the user is greater than or equal to a preset mental pressure value, the audio playing equipment is notified to play the brain wave audio for stimulating the rapid eye movement period so as to prolong the rapid eye movement period of the user in order to relieve the mental pressure of the user.

The invention relates to a sleep cycle detection method and a sleep cycle detection system in sleep state analysis. The method comprises the following steps of: performing wavelet decomposition for electroencephalogram generated during the sleep process of a user, rebuilding electroencephalogram according to a preset wavelet coefficient of a low frequency band, and obtaining low-frequency electroencephalogram; extracting a brain wave from the rebuilt low-frequency electroencephalogram; detecting a K comprehensive wave in the brain wave according to a waveform characteristic of the K comprehensive wave, and when the K comprehensive wave is detected, determining that the user currently stays at a cycle S2 of non-rapid eye movement sleep; detecting a delta wave from the brain wave according to the waveform characteristic of the delta wave, and counting the number of the detected delta waves; and determining cycles S3 and S4 of non-rapid eye movement sleep of the user according to the number of the delta waves. By adopting the technical scheme, the electroencephalogram can be prevented from being interfered, whether the user currently stays at a cycle S2 to S4 of the non-rapid eye movement of the user can be accurately detected, and the accuracy is higher.

The invention provides a sleep staging method based on BLSTM and a sleep staging device on the BLSTM. The BLSTM comprises two training layers and one output layer, wherein each training layer comprises 16 units, the output layer comprises 4 units, and the four units correspond to an awakening stage, a light sleep stage, a deep sleep stage and a rapid eye movement stage of sleep respectively; and input characteristics of the BLSTM comprise a characteristic extracted from an RR interphase signal, a characteristic extracted from a breathing signal and a characteristic extracted from cardiopulmonary coupling. The method and device acquire cardiopulmonary signals of a testee using a low-cost wearable multi-sensor system, conduct four-classification sleep staging by a bidirectional recursive neural network model which has an LSTM function and realize accurate staging of sleep.

The invention relates to the technical field of intelligent household electrical appliances, and discloses a method for controlling an intelligent household electrical appliance to assist sleep. The method comprises: determining a sleep state of a target user; determining target aromatherapy and target aromatherapy release parameters according to the sleep state of the target user; and controlling an aromatherapy device to release the target aromatherapy according to the target aromatherapy release parameters so as to assist the user in sleeping; wherein the sleep state comprises a sleeping period state, a light sleep period state, a heavy sleep period state or a rapid eye movement period state. According to the method, different types of aromatherapy can be controlled to be released according to different sleep stages of the user, the aromatherapy release parameters are adjusted, the requirements of the user in different sleep stages are met, and therefore the experience feeling of the user is improved. The invention further discloses a device for controlling the intelligent household electrical appliance to assist sleep and the intelligent household electrical appliance.