160 results about "Sleeping stages" patented technology

The invention relates to a human sleep monitoring method and system. The method and system synthesizes motion, heart rate and body temperature signals. The system comprises a core processor, a reflective type photoelectric pulse sensor, a temperature sensor, a three-axis gravity acceleration sensor and a capacitive skin contact sensor which are respectively used for measuring heart rate in real time, measuring body surface temperature in real time, detecting motion state in real time, and performing wearing identification. The human sleep monitoring system has the advantages that by synthesizing human body sign information and motion states, the system can automatically monitor the sleep state and the waking state of a user and can identify different sleep stages including shallow sleep, deep sleep and rapid-eye-movement sleep; the system further comprises a display module and a miniature motor vibrating module which are used for displaying specific sleep information and awakening the user on the basis of sleep quality; the problems that an existing sleep monitoring device cannot naturally awaken the user at an appropriate time, physical and mental health of the user is affected, and the existing sleep monitoring device is inconvenient to use are solved.

A method and system for automated sleep staging are disclosed. The method comprises determining at least one physiological signal during a predetermined time period, extracting at least one feature from the at least one physiological signal, and classifying the at least one feature using a machine learning classifier to output at least one sleep stage. The system includes a sensor to determine at least one physiological signal during a predetermined time period, a processor coupled to the sensor, and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to extract at least one feature from the at least one physiological signal and to classify the at least one feature using a machine learning classifier unit to output at least one sleep stage.

Methods and modules for using physiological (biometric) variables to advance the state of the artificial pancreas. The method and system includes one or more modules for recursive model identification, hypoglycemia early alert and alarm, adaptive control, hyperglycemia early alert and alarm, plasma insulin concentration estimation, assessment of physical activity (e.g., presence, type, duration, expected effects on insulin sensitivity and GC), detection of acute stress and assessment of its impact on insulin sensitivity, detection of sleep and its stages and assessment of sleep stages on GC, sensor fault detection and diagnosis, software and controller performance evaluation and adjustment and/or pump fault detection and diagnosis.

The present invention discloses a method for setting sleeping mode of an air conditioner and an air conditioner, the method is characterized by selecting and actuating a sleeping stage corresponding to the dissipative time though detecting single actuating duration time or twice actuating spacing interval of each user or simultaneously detecting the single actuating duration time and the twice actuating spacing interval, setting sleeping mode of the air conditioner according to the dissipative time of different sleeping stage, controlling the air conditioner to regulate the indoor temperature, thereby the problem of the indoor temperature of the single sleeping mode which can but regulated according to the settled time is avoided, the requirement of the air conditioner regulation temperature for each user at the sleeping stage is fully satisfied according to the different dissipative time of different user at each sleeping stage.

The invention relates to the field of sleeping control, in particular to a method and system for adjusting environment heat degrees. The method comprises the following steps of building a heat comfort degree model, working out the heat comfort degree at each sleeping stage of a user through the heat comfort degree model, controlling the operation mode of an indoor unit according to the heat comfort degree, and carrying out adjustment to meet the heat comfort degree of the user. The heat comfort degree model is designed according to the sleeping process of a human body, the sleeping quality and the sleeping comfort degree are improved for the user, and the effects of saving energy and reducing consumption are achieved while the user demands are met.

The invention discloses a media access control method for a wireless sensor network, which is applicable to the field of wireless network design; wherein, network nodes are divided into cluster-head nodes and ordinary nodes; an operational process runs in a periodic mode and an operation cycle is divided into four stages, namely a synchronization stage, a data stage, a sleep stage and a request stage; the specific operational process comprises: the ordinary nodes send data traffic and routing information to the cluster-head nodes in the request stage of each cycle; the cluster-head nodes calculate the cycle length and the duty radio and send the cycle length and the duty radio to the ordinary nodes in the synchronization stage of the next cycle; the ordinary nodes receive a synchronization package, set own cycle length and duty radio and update the local time in the synchronization stage, carry out data communication in the data stage and enter a sleep state to reduce power consumption in the sleep stage. The method of the invention effectively solves the problems in the present wireless sensor network, namely the synchronization and the self-adaption of data traffic, reduces the energy consumption of nodes and the delay time of data packages and increases the transmissibility of data packages at the same time.

The invention discloses a real-time sleep staging detection method based on a piezoelectric sensor and a device for realizing the method. According to the method and the device, a sleep piezoelectric sensing mattress is adopted for collecting BCG (Ballistocardiographic, namely, the ballistocardiography) signals of long-term sleep, and the signals are mixed with the information including the heartbeat, the breath and the body motion during the sleep process. The sleep staging algorithm mixed with multiple signals is adopted, the hidden markov model is applied to the research for the sleep breathing data, by utilizing the advantages of the hidden markov model mixed with the heartbeat and the breath rate at different stages, and in combination with the body motion detecting algorithm, the influences of the body motion for the staging based on the heartbeat and the respiratory signals are reduced, meanwhile, the discernibility of the body motion detecting algorithm for the waking state and the sleep state is enhanced, and further, the long-time automatic sleep staging accuracy rate based on the piezoelectric sensing signals is improved; the algorithm is deployed to a server, so that the automatic sleep staging is realized.

The invention discloses a long-distance line type wireless sensor network cross-layer communication method. The long-distance line type wireless sensor network cross-layer communication method includes the following steps that: at first, a wireless sensor network adopts a double-chain topologic structure, and each aggregation node only communicates with two sensor nodes; and then, the aggregation nodes perform whole-network periodic time synchronization; and finally, the sensor nodes synchronously perform periodic monitoring and sleep, wherein the periodic monitoring and sleep includes a monitoring phase and a sleep stage, in the monitoring phase, the sensor nodes compete time slot deployment of the whole-network sensor nodes through transmitting time slot deployment requests, and in the sleep stage, the sensor nodes perform data transmission according to the time slot deployment of the sensor nodes their own. According to the long-distance line type wireless sensor network cross-layer communication method of the invention, the characteristics of the long-distance line type wireless sensor network are considered; a cross-layer design method is adopted, and communication decision threshold and time slot deployment modes are adopted in combination, and therefore, the network can be more suitable for cross-layer protocols; and the problem of long time delay caused by periodical monitoring and sleep can be solved.

The invention provides a power management method of a vehicle-mounted system, which comprises the following steps of: if a vehicle is started, controlling the vehicle-mounted system to be in a normal charging state; and if the vehicle is not started and the vehicle-mounted system is opened, controlling the vehicle-mounted system to be in a temporary charging state, and controlling the vehicle-mounted system to automatically enter a sleep stage. Thus, a vehicle-mounted power supply is saved, and the time of awakening the vehicle-mounted system to be in a working state is shortened. The invention also provides a power management device of the vehicle-mounted system, which is used for managing the vehicle-mounted power supply. The invention also provides a power management system of the vehicle-mounted system, which comprises the power management device of the vehicle-mounted system and realizes the management method of the vehicle-mounted power supply. In the invention, the vehicle-mounted system is controlled to be in different states according to whether the vehicle is started or not, thereby saving the vehicle-mounted power supply and shortening the time of awakening the vehicle-mounted system to be in a working state.

The present invention is related to a sleep stage annotation system, said system having a plurality of sensors elements comprising differential electrodes, at least one sensor element comprising a ground electrode, transmitting means to transmit signals generated by the differential electrodes and the at least one ground electrode to a data recording unit, wherein) at least the sensor elements comprising the differential electrodes are arranged on a device capable of serving as a head or face support means, and methods using the same.

The invention discloses a control system for a fan and an air conditioner. A monitoring device is used for monitoring human body physiological signals, a cloud terminal sends the human body physiological signals to a control device, and the control device judges sleeping states of a human body according to the human body physiological signals. If the human body does not fall asleep, the control device sends a first control command to the cloud terminal. If the human body falls asleep, the control device judges the sleep stages after the human body falls asleep according to the human body physiological signals, and sends a second control command to the cloud terminal according to the sleep stages; the cloud terminal sends the first control command or the second control command to the fan and the air conditioner. A fan controller controls the fan to operate according to the first control command and the second control command, and an air conditioner controller controls the air conditioner to operate according to the first control command and the second control command. According to the control system, the different sleep stages of the human body are judged so as to control operation of the fan and the air conditioner according to the human body physiological signals, and the fan and the air conditioner can provide comfortable user experience. The invention further discloses a control method for the fan and the air conditioner.

The invention discloses an air conditioner parameter adjusting method. The air conditioner parameter adjusting method comprises the steps as follows: acquiring sleep state information, detected by a radar sensor, of a user in an air conditioner acted space; determining the current sleep stage of the user according to the sleep state information; controlling and adjusting a first set operation parameter corresponding to the sleep stage when the sleep stage meets a sleep stage adjusting condition. The invention also discloses an air conditioner parameter adjusting device, an air conditioner anda readable storage medium. The radar sensor is used for detecting the sleep state information of the user, a wearable device is not needed to contact the human body, the comfort of the user is improved, set operation parameters of the air conditioner can be automatically corrected, so that the corrected operation parameters can adapt to the actual sleep condition of the user, the air conditioner control accuracy can be improved, the environment helping the user to enter the better sleep stage is provided, and the sleep comfort demand of the user is guaranteed.

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 natural wind frequency modulation air conditioner, air conditioning system and control method based on deep sleep. According to the natural wind frequency modulation air conditioning system based on deep, a fan control device processes information sent by a heart rate or respiration rate acquisition terminal, and the state of a human body can be judged; and delay time ofnatural wind sequence output in the falling asleep stage, the shallow sleeping stage, the deep sleeping stage and the eye moving/REM stage is sequentially prolonged, natural wind sequence values are sequentially reduced so that frequency and average air flow intensity of natural wind can be adjusted to be reduced step by step, and the average airflow intensity and the frequency of the output natural wind can be adjusted in time according to the different sleeping stages. When more than one person is in a room, control right of the system is preferentially handed over to the person who firstlyfalls asleep and the person who enters the deep sleeping stage firstly, when other people enter a deeper sleeping stage, the control right of the system can be transferred; when the old and the childare in the room, the control right of the system is preferentially transferred to the old and the child so that the human body can be protected, and the health of the human body is facilitated.

Disclosed is an 802.11u protocol based terminal energy-saving power consumption management method for the WLAN. Terminals are only in an activated state or hibernating state; when accessed, the terminals are in the activated state; when cache data exists in an AP, a control information GAS signal is broadcasted to all terminals, and each terminal competes to transmit a GAS-Respond signal to the AP; a transmission sequence of the terminals is determined according to a first-come first-transmission algorithm; performing clock synchronization, and determining a sleep stage and an activated stage of each terminal in single transmission cycle; ending the single transmission cycle after the terminals finish single data receiving; starting next single transmission. The method has the advantages that the terminals can change in sleep and activated modes according to the sequence information transmitted by the AP, the terminals are prevented from being idle and wasting energy when awaiting idle channels, energy saving is especially evident when many APs are in service, and the method is significantly effective in energy saving compared to the traditional energy-saving method.

An embodiment of the invention discloses an electroencephalogram processing apparatus and method and a sleep monitoring worn device and relates to the technical field of electronics. The electroencephalogram processing apparatus and method and the sleep monitoring worn device can reduce the complexity of sleep stage classification. The electroencephalogram processing method includes the steps of obtaining electroencephalogram data to be processed; obtaining the predetermined number of segments from the electroencephalogram data to be processed, wherein the segments do not overlap; obtaining a maximum value and a minimum value of peak-to-peak values of every segment; normalizing the connection line between the maximum value and the minimum value of the peak-to-peak values of at least one of the segments to obtain an upper end point and a lower end point of the connection line; calculating a statistical characteristic value of an upper side band curve formed by the upper end points to obtain a box plot sequence; obtaining a sleep stage classification result according to the box plot sequence. The electroencephalogram processing apparatus and method and the sleep monitoring worn device are applicable to sleep analysis.

The invention specifically relates to a comfort control method of a hotel room air conditioner. The method comprises the following steps of: determining an indoor average radiation temperature according to regions, dates, outdoor weather conditions and peripheral protection structure parameters; determining the metabolic rate of a human body according to light perception and time; calculating a PMV value according to indoor temperature, indoor relative humidity, the average radiation temperature and the metabolic rate of the human body; determining a PMV interval; comparing the PMV value with the PMV interval and issuing an air conditioning control instruction. The PMV target value is set to one side in the hotter direction during indoor refrigeration and to one side in the cooler direction during heating, the PMV control interval is timely adjusted according to different sleep stages after human body sleep, and therefore excessive energy consumption is inhibited within the comfort range, and the reduction of air conditioning load and energy conservation are realized. The PMV control interval is corrected in time to achieve energy-saving comfort control after user intervention isreceived.

The invention discloses a control system of an air conditioner. In the control system, a monitoring device is used for monitoring human physiological signals; a cloud end sends the human physiological signals to a control device; the control device is used for judging the sleeping state of a human body according to the human physiological signals; the control device sends a first control instruction to the cloud end if the human body does not fall asleep; if the human body falls asleep, the control device judges the sleep stage of the human body according to the human physiological signals and sends a second control instruction to the cloud end according to the sleep stage, and the cloud end sends the first control instruction or the second control instruction to the air conditioner; a controller controls the air conditioner to operate at a set air conditioner temperature and a set fan rotating speed according to the first control instruction and regulates the temperature of the air conditioner and the rotating speed of a fan according to the second control instruction. The control system of the air conditioner judges different human body stages so as to control operation of the air conditioner according to the monitored human physiological signals so that the air conditioner can provide comfortable use experience for the human body. The invention further discloses a control method of the air conditioner.

The invention discloses a sleep staging detection method. The sleep staging detection method comprises the steps that human's heart rate variability signals and wrist pulse triaxial acceleration dataare collected; the heart rate variability signals and the triaxial acceleration data are partitioned according to time spans, a plurality of feature parameters are extracted from the heart rate variability signals and the triaxial acceleration data in each time span; the feature parameters in one time span are input into a sleep staging detection model, and a sleep stage in one time span is obtained; the sleep stages in all the time spans are counted so as to obtain the sleep stages in the whole sleep time. The invention further discloses a wearable sleep staging detection device. In the sleepstaging detection method and the wearable sleep staging detection device, the wrist pulse acceleration information and the heart rate variability signals in the sleep process of the human body are integrated, the sleep staging accuracy can be improved, and the sensitivity can be enhanced.

The invention discloses a sleep mode control method of an air conditioner. Breathing actions and body actions of a user during sleep are detected, detection data are transmitted to an air conditionercontroller, the air conditioner controller judges whether the user is in a sleep mode and which sleep stage is the user in, and after the user is in the sleep mode, a display lamp panel, temperature,fan rotation speed, air guide angle and other parameters of the air conditioner are adjusted and controlled in real time, so that requirements during sleep of people for the environment temperature are met to the largest extent, the comfort degree is improved, and the sleep quality is improved.

The invention discloses a method for implementing immediate minimization of drive test (MDT) by adaptively varying a measurement period. The method comprises the following steps that: a base station circularly executes measurement operation of the measurement period consisting of measurement activation and measurement sleep; and the base station adjusts time lengths of the measurement activation stage and the measurement sleep stage in each measurement period respectively according to probability of radio link failure (RLF) of a user terminal, namely user equipment (UE), at the measurement activation stage, namely the base station adaptively varies the time of the measurement period. Viewed from the system, an interval measurement concept and an algorithm thereof are provided by reasonably setting the time of the measurement activation stage and the measurement sleep stage, so that the base station only executes the measurement operation in a shorter time when necessary; therefore, the high efficiency of the method is shown, the number of UE which participates in the measurement operation is optimized, the measurement result can also more accurately reflect the actual performance of the system, and the system can work in a good working state for a long time.

The invention discloses an intelligent sleep aid system based on electroencephalogram monitoring and a sleep headphone thereof, and belongs to the field of intelligent sleep aid. According to the intelligent sleep aid system, on the basis of monitoring the electroencephalogram situation when a user sleeps, electroencephalogram signals are collected, and the electroencephalogram signals are specially classified; the energy ratio of beta wave to alpha wave to theta wave to delta wave serves as a characteristic value, incremental learning is conducted by using a support vector machine, the sleepof the user is staged, and while the classification accuracy is ensured, the time complexity of a sleep staging algorithm is reduced as much as possible. The sleep headphone of the intelligent sleep aid system can accurately and effectively achieve staging, according to requirements of different users, the music type of the headphone can be set, the volume size can be adjusted, so that the electroencephalogram (EEG) of the user enters a deep sleep stage or a REM stage, that is, the user enters the optimal sleep state.