95 results about "Sleep analysis" patented technology

The present invention relates to a method of analyzing a subject for excessive daytime sleepiness, and more particularly to a quick (short duration), quantitative method of sleep disorder analysis. The present invention additionally relates to a method, which can be used to quantitatively measure the treatment endpoints for the subject, i.e., appropriate levels of stimulants. Additionally, the present invention relates to a device for sleep disorder analysis.

The present invention is both a device and a method for verifying a subject's identity while using a medical device or undergoing a medical diagnostic or therapeutic procedure, particularly at home or at a remote location. The method and device can be used for inpatient and remote sleep and signal analysis with biometric identification. The present invention is further related to the devices and sensors used in executing the method, and includes various embodiments of a method of inpatient and remote sleep analysis.

A programmable alarm clock system, method of operation and program product therefor with sleep analysis to identify and wake a person during non-REM sleep patterns, resulting in less subsequent drowsiness and better day-to-day functioning. The programmable alarm clock system includes at least one brain activity sensor attachable to a head of a sleeper. Brain activity signals from the sensor(s) are sent to a receiver at a local computer. The user, before retiring inputs a wake up time and attaches the sensor(s). The local computer sends brain activity signals to a remotely connected sleep analyzing server which analyzes the brain activity and identifies REM sleep periods and non-REM sleep periods. The labeled brain activity periods are returned to the local computer which waits for the wake up time. Then, the local computer sets an alarm time by adjusting the wake up time to coincide with a non-REM sleep period, if necessary and if possible. At the alarm time, the local computer sends a trigger to a remotely triggered local alarm device such as a clock, which sounds an alarm to wake the user / sleeper.

The invention provides a sleep analysis system and a method for analysis thereof. The sleep analysis system includes an analysis device and a sleep sensing apparatus. The sleep sensing apparatus includes an ECG signal collector, a multi-axial accelerometer, a wireless transmitting unit, and a control unit. The ECG signal collector is used for collecting an ECG signal associated with a subject. The multi-axial accelerometer is used for detecting a multi-axial accelerometer signal associated with the subject. The control unit controls the wireless transmitting unit to transmit the ECG signal and the multi-axial accelerometer signal to the analysis device for analyzing sleep of the subject.

The various embodiments of the method of the present invention include a method to improving or expanding the capacity of a sleep analysis unit or laboratory, a method sleep analysis testing a patient admitted for diagnosis or treatment of another primary medical condition while being treated or diagnosed for that condition, a method of sleep analysis testing a patient that cannot be easily moved or treated in a sleep analysis unit or laboratory and other like methods.

The invention relates to a sleep analysis method and device based on environment monitoring. The movable and wearable sleep analysis device is adopted in the sleep analysis method for conducting sleep analysis based on environment monitoring. The movable and wearable sleep analysis device comprises a core processor, a three-axis gravity acceleration sensor, an environment monitoring module, a display module and a sleep monitoring module based on the body temperature and the heart rate. The core processor monitors the human body sleep stage according to body temperature and heart rate information sent by the sleep monitoring module, judges the sleep quality of the human body, analyzes the influences caused by the change of environment parameters on the sleep quality according to environment parameter information sent by the environment monitoring module, finds the environment condition suitable for the sleep of a user most and improves the sleep quality of the user. The problems that an existing sleep monitoring device can not analyze the sleep quality according to the change of environment parameters or provide the optimal environment parameters affecting the sleep quality are solved.

Apparatus for providing transcutaneous electrical nerve stimulation (TENS) therapy to a user, the apparatus comprising: a housing; an application unit for providing mechanical coupling between the housing and the user's body; a stimulation unit for electrically stimulating at least one nerve of the user; a sensing unit for sensing the user's body movement and body orientation; and a reporting unit for providing the user with feedback based on the user's sensed body movement and body orientation.

The invention belongs to the technical field of sleep monitoring, and particularly relates to an intelligent sensing mattress for monitoring sleep. Two kinds of flexible pressure sensors are adopted, wherein the first kind of the pressure sensors are used for producing pressure sensing arrays, are uniformly distributed in the whole mattress, and are used for detecting stressing conditions in the most part of the mattress, the second kind of sensors are distributed in several key positions of the mattress, and are used for collecting signals which can cause pressure change like respiration signals, body movement signals, and heart rhythm signals of a user, and transferring the pressure changing signals into electric signals; follow-up hardware conducts amplification, smoothing and transmission on the obtained electric signals, then conducts feature extraction and pattern recognition processing on the signals through a PC end to obtain a pressure distribution image and sleep analysis. According to the intelligent sensing mattress for monitoring sleep, ultra-thin flexible materials are used in sensors and structures thereof like electrodes, thus the mattress is small in thickness, light in weight, and convenient to carry; due to the fact that the intelligent sensing mattress for monitoring sleep is run in a non-intrusive mode, sleep monitoring can be conducted under the condition that a user is unconscious, thus the natural sleep of the user can be fully restored, and thus powerful supplement is made for family-type nursing.

Apparatus for providing transcutaneous electrical nerve stimulation (TENS) therapy to a user, the apparatus comprising: a housing; an application unit for providing mechanical coupling between the housing and the user's body; a stimulation unit for electrically stimulating at least one nerve of the user; a sensing unit for sensing the user's body movement and body orientation; and a reporting unit for providing the user with feedback based on the user's sensed body movement and body orientation.

The present invention is related to a device for acoustically monitoring a subject's airway to determine airway obstruction(s) and their location(s). The device is particularly useful when performing sleep analysis and sleep therapy, but is also highly useful in determining airway obstructions of any subject when the subject is sleeping or otherwise unconscious, and can further be used in certain applications when the subject is awake or conscious. The device, in its simplest form, is comprised of a supporting body (e.g. a mask, mouthpiece, or nasal cannula) used to position at least one acoustic generator and at least one acoustic sensor at a location essentially proximal to a subject's airway, the acoustic generator and acoustic sensor generating and / or sensing sound waves useful in determining obstruction(s) and their location(s) within the airway of a subject.

The invention discloses a sleep analysis method and device. The method includes the steps that multi-axis accelerated speed data collected within each subsidiary monitoring period of a person to be monitored are acquired according to the preset sampling frequency; based on the multi-axis accelerated speed data collected within each subsidiary monitoring period of the person to be monitored, the activity of the person to be monitored within each subsidiary monitoring period is determined; for each subsidiary monitoring period, according to the activity in a subsidiary monitoring period included in a period window corresponding to the subsidiary monitoring period, the activity characteristic value of the person to be monitored within each subsidiary monitoring period is determined, and a dynamic threshold value of the activity characteristic value within the monitoring period is determined as well; the activity characteristic value within each subsidiary monitoring period is compared with the dynamic threshold value, so that a first sleep analysis result of the person to be monitored in a sleeping state or a waking state within each subsidiary monitoring period is acquired. By the adoption of the method, waking and sleeping classification accuracy is improved.

The invention provides a sleeping control device and method. The device at least comprises a mobile side, a detector and a cloud side server, is used for determining theoretical sleeping state information corresponding to body signals based on a preset database through a sleeping analysis algorithm, and is characterized in that the cloud side server completes the correction and demonstration process of the theoretical sleeping state information on the basis of the before-sleeping feeling, after-sleeping feeling, actual sleeping state information and / or external condition information input by the user through the mobile side, and the mobile side is configured to retrieve the actual sleeping state information and related information stored in the cloud side server and / or the mobile side through self-definition keywords, external conditions and / or physical features by the user. By making the sleeping feeling of the user related to the actual sleeping state of the user, the personalized sleeping state guiding can be more effectively conducted, and the ability of controlling the sleeping state by the user is trained and improved.

A method monitors a person's sleep parameters, sleep activities, sleep state, or awake status sleep. At least one of a person's motion, movement and gesture is detected for determining a person's sleep parameters, sleep activities, sleep state, or awake status. The at least one of a person's motion, movement and gesture is communicated to a user monitoring device that includes at least two elements selected from: a proximity sensor; a temperature sensor / humidity sensor; a particulate sensor; a light sensor; a microphone; a speaker; two RF transmitters (BLE / ANT+WIFI); a memory card; and LED's.

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 is applicable to the technical field of smart home, and a sleep monitoring system and a sleep monitoring method based on the sleep monitoring system are provided. The sleep monitoring system includes a bed and a monitoring device connected to the bed, the bed comprises a piezoelectric thin film sensor for collecting physiological state information of a user lying on the bed and sleepinformation of the user while sleeping, an acoustic sensor for collecting snoring sound emitted by the user while sleeping, and a motor for controlling the head of the bed to rise or fall under the control of a monitoring device. The monitor device is used for determining whether the user enters a sleep state according to the physiological state information, and is used for analyzing the sleep quality of the user according to the sleep information and the snoring sound to obtain the corresponding sleep analysis result, and controlling the bed head to rise or fall according to the sleep analysis result, thereby improving the monitoring effect and simplifying the sleep monitoring system, which can be better used by the ordinary user, and further improving the user experience.

The invention relates to the technical field of intelligent home, and particularly discloses an intelligent home sleep device. Wherein the device comprises a piece of sleep furniture and a sleep control device mounted on the sleep furniture, the sleep control device comprises a signal acquisition module, an intelligent control module and a sleep induction module, the signal acquisition module is in communication connection with the intelligent control module, and the intelligent control module is in communication connection with the sleep induction; the signal acquisition module is used for acquiring human sleep data; the intelligent control module is respectively used for performing data processing on environmental data and sleep data so as to obtain sleep control signals, analyzing sleepdata so as to obtain sleep analysis results and transmit the sleep analysis results to a terminal server; and the sleep induction module is used for adjusting configuration information of the sleep furniture according to the sleep control signals. The invention also discloses an intelligent home sleep system. The intelligent home sleep device can assist people to fall asleep as soon as possible.

The invention relates to a preliminary screening method for sleep apnea hypopnea syndrome with low physiological load. Using ECG and respiratory signals extracted from pulse waves and using data processing and classification algorithm, ECG signal were analyzed in frequency domain to obtain heart rate variability index for cardiac function evaluation, and then combine HRV with respiratory signals,sleep staging and event discrimination of obstructive sleep apnea syndrome were performed with machine learning trained classifier, the invention reduces the types of signals needed to be detected byfurther mining the information related to sleep contained in the signals, and can carry out sleep analysis and cardiac function evaluation only by collecting blood oxygen pulse signals, thereby achieving the purpose of reducing physiological and psychological load of a subject and more convenient and accurate measurement.

An appearance ratio conversion processing portion 103 reads sleeping depth data (qualitative variable) stored in a RAM 102 to calculate a movement appearance ratio n-M.A.R. (quantitative variable) meeting a relation of sleeping depth >= 2 (slow wave sleep: SWS). Then, an evaluation result calculation processing portion 104 reads the movement appearance ratio data (quantitative variable) of the calculated SWS from the RAM 102, and processes the calculated movement appearance ratio data in accordance with an evaluation rule in an evaluation rule storage portion 105 to calculate an evaluation score for an evaluation factor. When the evaluation factor is 'easy sleep' for example, a time period from a point when a person goes to bed to a point when the movement appearance ratio n-M.A.R. of the SWS rises is detected from the movement appearance ratio n-M.A.R. of the SWS. Then, an evaluation score corresponding to a length of a time period of the rising is acquired from a corresponding score table. Sleep analysis with relatively high reliability can be simply and speedily performed by using sleeping depth data.

A system is provided for monitors a person's sleep parameters, sleep activities, sleep state, awake status and the like. A detection device is in communication with a user monitoring device. The detection device includes at least one motion / movement gesture sensing device configured to detect at least one of a person's motion, movement and gesture that is used for determining a person's sleep parameters, sleep activities, sleep state, awake status. The user monitoring device includes at least two elements selected from: a proximity sensor; a temperature sensor / humidity sensor; a particulate sensor; a light sensor; a microphone; a speaker; two RF transmitters (BLE / ANT+WIFI); a memory card; and LED's.

Systems and methods are provided for monitoring a person's sleeping activities in a dwelling. A detection device is in communication with a user monitoring device. The detection device includes at least one motion / movement gesture sensing device configured to detect at least one of a person's motion, movement and gesture. A user monitoring device includes at least one element selected from: a proximity sensor; a temperature sensor; a humidity sensor; a particulate sensor; a light sensor; a microphone; one or more RF transmitters (BLE / ANT+WIFI); a memory; and one or more LED's. An amount of night and noise is detected in the vicinity of the person.

The present invention is related to a device and method for improvement of sleep testing and sleep therapy using acoustic data to examine various aspects of a subject's sleep quality. More particularly, the method and device of the present invention includes the use of an acoustic actuator and an acoustic sensor to acoustically monitor the state of a subject's airway during sleep in order to determine airway obstructions and their locations as they relate to, among other variables, a subject's sleep stage, body position and sleep quality.

A method for testing the cardiac rhythm and respiratory rate by wrist includes such steps as fixing a high-sensitivity piezoelectric sensor to an elastic wrist band, wearing it on the human wrist to make said sensor in contact with the skin of wrist, sensing the composite microvibration signals caused by cardiac pulse and respiration, amplifying the signals, filtering, data acquisition, and processing the data by processor. Its wrist watch type tester is also disclosed.

The present application relates to a sleep quality monitoring method, system, computer device and storage medium. The method includes: receiving a first monitoring instruction sent by a monitoring device, and entering a first mode according to the first monitoring instruction; in the first mode, collecting a first sleep parameter of the monitored object; in the first mode, sending a first synchronization instruction to the sleep aid device, and receiving a second sleep of the monitored object returned by the sleep aid device according to the first synchronization instruction parameter; obtaining a preset sleep analysis model, inputting the first sleep parameter and the second sleep parameter into the sleep analysis model to obtain sleep data of the monitored object; the sleep data is sentto the monitoring device, and the monitoring device analyzes the sleep data and analyzes the data corresponding to the sleep quality of the monitored object. This method can improve the accuracy of sleep quality monitoring.

The invention discloses an intelligent mattress and system for infant monitoring and a remote automatic adjustment method. A giant-piezoelectricity zinc oxide nanoarray with high sensitivity and measuring precision is used for measuring the heart rate value and the body motion, a capacitive film array of the mattress can measure the human body stress distribution, and if an infant sleeps beyond a safe area, the system can give an alarm. The mattress is further provided with a radiation-proof heating part. The intelligent mattress system has the advantages of adjusting the sleep environment by itself and adjusting the sleep environment by an APP. Sleep analysis can be carried out through the APP, and when the human body is uncomfortable and the environment exceeds a set range, the APP gives an alarm; the APP can issue instruction information through WIFI and transmit feedback information to an MCU, and the MCU controls a control device to work or not by controlling on / off of a relay. A guardian using the mattress can carry out remote monitoring and adjustment; besides, a remote video function can be started to relieve the pressure of the guardian.

The invention provides a wireless electrocardiograph monitoring method, a wireless electrocardiograph monitoring system and a wireless electrocardiograph monitoring garment orienting to sleep analysis. The wireless electrocardiograph monitoring method comprises the steps that the electrocardiograph signals and acceleration of a tested person are acquired, the real-time heart rate data of the tested person is calculated, the heart rate standard deviation is calculated according to the heart rate data within a period of time, the sleep stages of the tested person are divided according to the heart rate standard deviation, and the sleep quality of the tested person is comprehensively calculated according to the total time of the sleep sub-stages and the body movement parameters. With the adoption of the method, the acquisition of the life essential information is realized under the natural state, a fabric electrode acquires the electrocardiograph signals, an acceleration sensor positioned on the abdomen transmits the dynamic information of the body, the electrocardiograph signals are analyzed through the fabric electrode and the acceleration sensor together through wireless transmission, the sleep relevant information is separated from the analysis result, and thus the sleep quality is objectively evaluated.

The invention discloses a sleep analysis system. The system comprises a mobile terminal and a cloud platform. The mobile terminal is used for detecting sound information when a user sleeps, extracting characteristic information in the sound information by using a sound identification technology and sending the characteristic information to the cloud platform. The sound information comprises a user sleep sound and an environment noise. The cloud platform is used for receiving the characteristic information, and inquiring a preset voice database according to the characteristic information to acquire sleep guidance information corresponding to the user. In the invention, a microphone of an existing mobile terminal is used to detect the sound information when the user sleeps; a sound identification technology is used to extract the characteristic information, and the characteristic information is classified and then is analyzed through cloud platform mass data so that specific sleep guidance is performed on the user. Simultaneously, the cloud platform also provides an intelligent wake-up service.

The invention discloses an electroencephalogram stimulation memory enhancement system based on portable EEG equipment. The system comprises four parts of a specially-made EEG electroencephalogram stimulator, a specially-made EEG signal analysis system, a sleep analysis algorithm and a specially-made electric wave stimulation manner. A working principle of the system lies in that: the specially-made EEG electroencephalogram stimulator collects brain waves of a user during sleeping and transmits the brain waves to the specially-made EEG signal analysis system in real time; the analysis system decodes and preprocesses EEG signals, and judges the sleep stage of the user through a machine learning algorithm; when the user enters a rapid eye movement sleep stage, a stimulation instruction is sent to the stimulator for electric wave stimulation, and the brain memory function is enhanced; and when the user enters a non-rapid eye movement sleep stage, sending the stimulation instruction is stopped, and electric wave stimulation is stopped. According to the method, data characteristics of sleep EEG signals are analyzed, and a principle that slow wave frequency electroencephalogram stimulation during sleep can promote synchronization of specific neurons (ABNs), and enhance the memory, is adopted, and the function of enhancing brain memory during sleep is achieved.

A method monitors a person's sleep parameters, sleep activities, sleep state, or awake status sleep. At least one of a person's motion, movement and gesture is detected for determining a person's sleep parameters, sleep activities, sleep state, or awake status. The at least one of a person's motion, movement and gesture is communicated to a user monitoring device that includes at least two elements selected from: a proximity sensor; a temperature sensor / humidity sensor; a particulate sensor; a light sensor; a microphone; a speaker; two RF transmitters (BLE / ANT+WIFI); a memory card; and LED's.

The invention relates to a sleep monitoring method. The sleep monitoring method comprises the steps of obtaining real-time sleep data, wherein the real-time sleep data comprises real-time electroencephalogram signal data and real-time human body physiological sign data; obtaining historical sleep data, wherein the historical sleep data are stored in a database, and the historical sleep data comprises historical electroencephalogram signal data and historical human body physiological sign data; and generating a sleep analysis report based on the real-time sleep data and the historical sleep data, wherein the sleep analysis report at least comprises a sleep evaluation result and a physiological data monitoring result. By means of the sleep monitoring method, the problems that during sleep monitoring, only a brain wave monitoring device exists, reference data are few, and the current body sleep condition is difficult to recognize more clearly are solved, and the technical effect that when sleep is monitored, the brain wave data and the human body physiological sign data can be referred to, so that the accuracy of sleep monitoring state judgment is improved is achieved.