688 results about "Sleep monitoring" patented technology

A method and an apparatus are disclosed for scoring the quality of sleep experienced by a subject wearing the apparatus for a specified period. This sleep monitoring apparatus includes a motion sensor that quantifies the temporal variation in the subject's motion, an analog to digital converter to sample the sensor data, a microprocessor with embedded programmable memory to store control and processing firmware, a memory device for data storage, a display means, and a switch for staring and resetting the device. The firmware for this apparatus: (i) directs the microprocessor to sample sensor output at a prescribed time interval and to temporarily store this data in the memory device, (ii) directs the microprocessor to analyze the temporarily stored data to compute a sleep score based on the magnitude of movements recorded during the monitoring period, and (iii) controls the operation of the display means. Upon termination of the sleep period, the apparatus' display means will display a sleep score based on a scale of 0 to 100. A high score indicates restful sleep (very low movements), while a low score indicates excessive restlessness during the monitored sleep period.

A method for operating a sleep phase actigraphy synchronized alarm clock that communicates with a remote sleep database, such as an internet server database, and compares user physiological parameters, sleep settings, and actigraphy data with a large database that may include data collected from a large number of other users with similar physiological parameters, sleep settings, and actigraphy data. The remote server may use “black box” analysis approach by running supervised learning algorithms to analyze the database, producing sleep phase correction data which can be uploaded to the alarm clock, and be used by the alarm clock to further improve its REM sleep phase prediction accuracy.

Apparatus for automatically monitoring sleep, including a video recorder for recording live images of a subject sleeping, including a transmitter for transmitting the recorded images in real-time to a mobile device, and a computing device communicating with said transmitter, including a receiver for receiving the transmitted images in real-time, a processor for analyzing in real-time the received images and for automatically inferring in real-time information about the state of the subject, and a monitor for displaying in real-time the information inferred by said processor about the state of the subject. A method and a computer-readable storage medium are also described and claimed.

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.

Sleep monitoring and stimulation comprises collecting actigraphy data from a user. The user's sleep phase is determined using the actigraphy data. At least one stimulation, determined at least in part on the sleep phase, is directed towards the user. Subsequent actigraphy data is collected from the user. The actigraphy data and subsequent actigraphy data is used to determine the user's subsequent sleep phase. The stimulation is modified, based at least in part upon the subsequent sleep phase.

The invention discloses a sleep quality monitoring and recording device and a sleep quality monitoring and recording method, discloses an activity level / sleep quality monitoring and recording device and an activity level / sleep quality monitoring and recording method on the basis and further discloses a life style management suggestion system with the activity level / sleep quality monitoring and recording device and an implementing method thereof. The sleep quality monitoring and recording device is provided with a sleep monitoring module comprising a three-dimensional acceleration sensor, and generates sleep quality data according to information about actions in the sleep process of a monitored user. The invention discloses the novel sleep quality monitoring method and the novel sleep quality monitoring device meeting portability requirement, which solve the problem that the life style management suggestion system in the prior art does not combine the influence of a sleep quality factor and make more efficient and reliable the life style assessment on the user. The sleep quality monitoring and recording device adopting a compact design monitors the monitored user under the condition of not disturbing the monitored user, and ensures the accuracy and reliability of the produced sleep quality data.

The invention discloses a Zigbee-based multifunctional sleep nursing and monitoring device, which relates to a detection technology. The Zigbee-based multifunctional sleep nursing and monitoring device comprises a PDA (Personal Digital Assistant) or a mobile phone and a sleep monitoring node which support the Zigbee protocol. The PDA or the mobile phone comprises an image sensor and a sound sensor; the sleep monitoring node comprises a data processing unit and a plurality of sensors, such as an electrocardio sensor, a blood oxygen and pulse sensor, a blood-pressure sensor, a body temperature sensor and the like, which are used for monitoring the breathing condition, electrocardio, blood oxygen, pulse, snore, sleeping posture, body temperature and other characteristics of a monitored sleeper, and transmitting data to a remote monitoring center through a telecommunication network. If an abnormal phenomenon occurs, equipment can alarm and prompt through various approaches. The Zigbee-based multifunctional sleep nursing and monitoring device disclosed by the invention can monitor various physiological parameters of people at different ages in the sleeping state, the contents of monitoring can be flexibly added and deleted according to the need, and the Zigbee-based multifunctional sleep nursing and monitoring device is especially suitable for the use by elderly people, children and various patients.

The invention discloses a health secretary comprising a central control processing module, an electrocardiogram measuring module, a body temperature measuring module, a motion detection module, a sleep monitoring module, a data storage module, a GSM / GPRS module, a GPS module, a Bluetooth module, an FM module, a lithium ion battery, a power management module, a liquid crystal display module, an audio output module, a microphone, a USB interface, function keys and a housing. The central control processing module is connected with the other modules, and biological parameters, such as body temperature, electrocardiogram and sleep quality, are conveniently detected; intervention suggestions are provided according to user information; intervention execution is fed back and acoustically prompted by means of re-detection, evaluation, prompting and the like, and health monitoring and promoting functions are achieved.

A computer implemented method for automated sleep monitoring, including recording live images of a subject sleeping, transmitting the recorded images to a computing device, receiving the transmitted images at the computing device, performing motion analysis of the subject based on the received images, computing an air flow signal that represents the amount of air flowing into the lungs of the subject over time from the results of said motion analysis, automatically detecting respiratory events based on said airflow signal, wherein a respiratory event is a breathing disturbance, and displaying the respiratory events experienced by the subject on a monitor. An apparatus is also described.

The invention provides a sleep monitoring system based on human body detection. The system shoots the image of the sleeping human body through an infrared / near-infrared camera, analyzes the part of the human body in the monitoring area on the image to determine if the sleeper kicks a quilt or not, is close to the edge of the bed, falls off the bed or not, wakes up or not and the like, then alarms according to the analysis result. The infrared / near-infrared light source has no influence on the human body, thereby having no interference on the sleeping of the user.

A miniature wireless apparatus for recording and remote monitoring physiological signals and use thereof are described. The miniature wireless apparatus comprises a signal collecting module, a signal processing module, a wireless module, and a recording device. The methods for recording and remote monitoring physiological signals comprising collecting physiological signals by a signal collecting module, processing the said physiological signals by a signal processing module and recording the processed signals by a recording device, modulating the said processed signals and synchronously transmitting and receiving the modulated signals by a wireless module to integrate the physiological signals, receiving the signals by a remote receiver, and recording, monitoring, and analyzing the physiological signals by the remote receiver and further transmitting the physiological signals to the remote monitoring station through a network. Methods for sleep monitoring and evaluating and for monitoring and evaluating of autonomic nerve function using the miniature wireless apparatus are further described.

A combination thermal and vibration sensor for use in sleep monitoring equipment comprises a thin film of a plastic exhibiting both pyroelectric and piezoelectric properties. By providing a layer of foam material totally covering one major surface of the plastic film layer, it is found that the thermal mass of the sensor is changed to the point where the pyroelectric signal can more readily be isolated from the piezoelectric signal using conventional signal processing techniques.

The invention provides a method and a system for non-contact sleep monitoring. The method comprises the following steps: using an infrared monitoring camera to acquire video images of a head region and abdomen and thorax regions of a human body, and using a somatosensory device to acquire attitude information of the human body; acquiring sleep information of the human body; and comparing the sleep information of the human body with preset standard sleep information, and analyzing health degree of human body sleep quality. The method is based on an image processing technology, and acquires sleep signals of a human body by a non-contact method. The method maintains natural sleep state of a user to the greatest extent, and sleep state information with physiological significance is extracted through a video image processing technology. The system is low in device cost, and provides convenience for daily use of a family.

The invention discloses an intelligent sleep monitoring system with a small contact surface. The intelligent sleep monitoring system consists of a physiological signal acquisition module, a micro control unit (MCU) control module, a power module, a sleeping posture adjustment module and an alarm and rescue module, wherein the physiological signal acquisition module balances the generated force due to myocardial contraction, chest contraction in the respiration process and other muscular movements in the lying process by adopting an air cushion, the body respiration, heart rate, displacement and other physiological signals are converted into electric signals through a pressure sensor, the electric signals are filtered and amplified and are transmitted to the MCU for processing and judging whether the abnormalities of sleep apnea, sudden cardiac arrest, drop and the like occur; when the abnormality is detected, the MCU drives a stepping motor, so that the pillow is deformed, the sleep respiration is adjusted, and corresponding audible and visual alarm is performed aiming at the abnormality. The contact area between the system and a measured body is small, a sensor is not required to be worn, the sleep is not influenced, the cost is low, and the operation, maintenance and management are convenient. The system can be used for a sleep monitoring system for performing daily household monitoring on young and old people.

The invention provides a method and intelligent wearable device for controlling an illumination device on the basis of a physiological characteristic, for the purpose of solving the technical problem of incapability of controlling an illumination device by use of a conventional intelligent wearable device. The method comprises the following steps: in case of a pre-sleep monitoring mode, a sensor monitoring the physiological characteristic of an intelligent wearable device user; a central processing unit receiving a monitoring result of the sensor and, according to the monitoring result, switching the pre-sleep monitoring mode to a sleep mode after determining that the intelligent wearable device user is at a sleep state; and a wireless communication module receiving a first control instruction emitted by the central processing unit and sending the first control instruction to the illumination device so as to control the illumination brightness of the illumination device to be decreased until zero. According to the invention, the intelligent wearable device user does not have to switch on and switch off the illumination device by himself, the intelligent wearable device user, especially a person with sleep disorder can be enabled to be transited to the sleep state naturally when he feels sleepy, and great convenience is brought to the intelligent wearable device user in switching on and switching off of the illumination device.

The invention discloses an automatic sleep staging method of a single-lead electroencephalogram. A training model comprises a feature extraction module and a staging optimization module, the feature extraction module comprises CNNs (convolutional neural networks) (1) and an Softmax layer (2), the staging optimization module comprises bi-directional LSTM (long-short term memory) recurrent neural networks (3) and a CRF (corticotropin releasing factor) conditional random field model (4), and the CNNs (1), the Softmax layer (2), the LSTM recurrent neural networks (3) and the CRF conditional random field model (4) are sequentially connected. The method only needs the single-lead sleep electroencephalogram, portable and comfortable sleep monitoring requirements are met, temporal and spatial characteristics of the electroencephalogram are sufficiently excavated according to the convolutional neural networks and the recurrent neural networks, the method has dynamic learning capacity and can adapt to great changed environments of diseases, the staging optimization module sufficiently considers relation between the front and the back of N 30s of electroencephalogram data, and the staging accuracy and the generalization ability of the model are improved.

A system and method for sleep monitoring, diagnosing and sensing temperature and pressure for a breathing cycle of a patient including a sensing device suitable for both nasal and oral breath monitoring for measuring respiratory air wave and airflow information during a sleep apnea diagnostic session and processing the acquired air wave and airflow breathing information for input to conventional polysomnography equipment.

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.

The invention discloses a method and system for monitoring sleep. The method comprises the steps that a monitoring system determines the current status of a monitored person, and calls determination threshold values of physiological parameters based on the determined status; the physiological parameters comprise heart rate, blood pressure and breath rate; the monitoring system reads the heart rate, blood pressure and breath rate of the monitored person, and makes the comparison between the read values and the corresponding determination threshold values; if the heart rate is higher than the alarm upper limit of the threshold value or lower than the alarm lower limit, the monitoring system sends alarms to designated family members and nurses. In the technical scheme the determination threshold values of the physiological parameters are stored in a cloud server; a personal server calls the adaptable threshold values from the server based on the physique, age, gender of the monitored person and the current season for the determination. Once any of the heart rate, blood pressure or the breath rate appears to be abnormal, the alarm is sent in time to inform the family members and medical personnel to check. The method and system for monitoring sleep are applicable to medical agencies and families.

The invention discloses a device for monitoring sleep and screening obstructive sleep apnea syndrome. The device comprises a sleep pillow and an FGB (Fiber Bragg Grating) sensor fixed at an appointed position of a bed, wherein the sleep pillow is internally provided with a reflective photoelectric sensor for monitoring an artery at the neck of a human body; a degree of blood oxygen saturation and a pulse wave signal are obtained by utilizing a photoelectric detecting principle; physiological information of blood oxygen and pulse wave of a testee can be obtained by virtue of amplifying, de-noising and separating the signal; the sleep pillow is internally provided with a 2*2 array microphone for collecting snore information when the person sleeps. The FGB pressure sensor fixed at the appointed position corresponds to the chest of the testee and is used for collecting respiration and movement signals of the human body. The device realizes non-contact type measurement for respiration, pulse, snore and movement signals of the testee, avoids influence from excessive electrodes to natural sleep of the testee when sleeping, can monitor sleep at a whole night of the testee, and provides important parameters for screening obstructive sleep apnea syndrome.

The invention provides an intelligent sleep monitoring system for preventing kids from kicking quilts, comprising a control assembly, magnetic sensors, stretching motors, drive pulleys, pull ropes, a humidity-sensitive resistor, a thermal-sensitive resistor, magnets, temperature sensors, and a remote alarm assembly. The humidity-sensitive resistor and the thermal-sensitive resistor are arranged on the obverse side of a bed body. The magnetic sensors and the stretching motors are arranged in the corners of the bed body. The control assembly is connected to the humidity-sensitive resistor, the thermal-sensitive resistor, the magnetic sensors and the stretching motors. A quilt is connected to the stretching motors through the pull ropes. The temperature sensors are arranged on the quilt, and the temperature sensors are connected with the control assembly in a wireless communication mode. The control assembly is connected with the remote alarm assembly in a wireless communication mode. The intelligent sleep monitoring system of the invention has the functions of automatically covering a kid with a quilt, alarming for high fever and enuresis, and the like, and has a high level of intelligence. Long-term test shows that the intelligent sleep monitoring system can prevent kids from kicking quilts in sleep in a fully automatic way and improve the quality of sleep of both kids and parents.

The invention discloses a sleep monitoring obstructive locator based on snore analysis. The sleep monitoring obstructive locator based on the snore analysis comprises a recorder for recording sleep sound of a patient, and a processor for performing intelligent analysis according to the sleep sound; an audio signal output end of the recorder is connected with a voice interface of the processor; the processor comprises a sound acquisition module, a data storage module, a data reading module, a data analyzing module and a reporting module; the data analyzing module calculates and processes the sound data to obtain snore loudness, a snore frequency, a snore index, apnea time, hypopnea time and a sleep breathing disordered index; and the reporting module judges whether a numerical value is in accordance with a standard of a sleep apnea syndrome, determines an upper airway obstructive part according to the numerical value and outputs a determination result. The sleep monitoring obstructive locator can detect sleep breathing disordered degree and the upper airway obstructive part, has no limitation to the patient and is easy to operate.

The invention discloses a household non-contact sleeping monitoring device and a household non-contact sleeping monitoring method. The device comprises a transmitting antenna, a receiving antenna, a non-contact biological radar front end and a DSP (Digital Signal Processor), wherein the non-contact biological radar front end is used for transmitting a pulse sequence signal to the chest wall of a sleeper in an oriented way through the transmitting antenna; the receiving antenna is used for picking up a reflected echoed signal including breathing information of the sleeper; the reflected echoed signal is output to the DSP through relevant detection and variable delay processing; and the DSP is used for performing steps such as preprocessing, breathing characteristic vector extraction and cluster analysis on a breathing signal of the sleeper to realize automatic recognition and control of a breathing mode. According to the device and the method, a sound and light alarm can be made on the premise of not influencing normal sleeping of a human body, so that the sleeper who stops breathing temporarily is forced to wake up.

The invention discloses a monitoring device for sleep. The monitoring device comprises a detection module, a processing module and an output module, wherein the processing module is electrically connected with the detection module; the output module is electrically connected with the processing module; the detection module is used for acquiring physiological characteristic signals for characterizing the sleep state of a user; the physiological characteristic signals comprise one or more of a heart rate characteristic signal for characterizing the heart rate characteristics of a detected object and a breathing characteristic signal for characterizing the breathing characteristics of the detected object; the processing module is used for processing the physiological characteristic signals from the detection module to obtain the comprehensive sleep assessment result of the detected object; the output module is used for outputting the comprehensive sleep assessment result from the processing module. According to the monitoring device for the sleep, disclosed by the invention, the sleep quality of the detected object is accurately assessed by acquiring the physiological characteristic signals for reflecting the heart rate characteristics and / or the breathing characteristics and the like of a user. The monitoring device is simple in structure and convenient to use, and the wearing design can be realized. Meanwhile, the invention also discloses a monitoring method for the sleep.

A detection device, for placement under or on a mattress, configured for the movements of a person lying on the mattress, includes a sensing portion having an inflatable chamber intended to be positioned under the individual, an electronic unit arranged at a distance from the sensing portion and having a pressure sensor, intended to be positioned outside of the bedding, a transmitting portion interposed between the sensing portion and the electronic unit, including a channel establishing a fluid connection between the inflatable chamber and the sensor, the channel having a transverse dimension (T) that is much smaller than the width (L1) of the chamber.

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.

The invention provides a sleep monitoring feedback and sleep auto-enhancement device and relates to the technical field of sleep monitoring equipment. The sleep monitoring feedback and sleep auto-enhancement device comprises a micromotion sensitivity sensor, a brain wave sensor, a sleep mattress sleep pillow, a brain wave acquisition module, a control module, a language induction / sleep music module and a transcranial microcurrent stimulation treatment module. The micromotion sensitivity sensor is arranged in the sleep mattress sleep pillow and is connected to the control module. The brain wave sensor is connected to the brain wave acquisition module which is connected to the control module, and the control module is connected to the language induction / sleep music module and the transcranial microcurrent stimulation treatment module respectively. The device can be used for sleep monitoring on napping after lunch, multiple sleep latency test, and night split-sleep respiration monitoring, thereby making up for the deficiency that a traditional polysomnogram requires all-night monitoring; the device can be used not only in psychology industry but also in other different industries.

The invention discloses a sleep monitoring method. The sleep monitoring method comprises the following steps: acquiring acceleration data related to user limbs, and calculating body movement intensity related to a preset period according to the acceleration data; performing triangularly weighted smooth filtering to the calculated body movement intensity; determining a sleep state of a user according to the filtered body movement intensity. The invention further discloses a sleep monitoring device. The speed monitoring method and device have the advantages that the wrong judgment of the waking state occurring during deep sleep or light sleep is effectively reduced and the sleep monitoring accuracy is improved.

The invention relates to an extensible human parameter monitoring and recording system, comprising a personal monitoring terminal, a remote server, a cloud server, a remote analysis server, a health data server, a remote alarm monitoring module and a remote consultation module, wherein the personal monitoring terminal is used for acquiring body related data of a user wearing the system, and specifically comprises a sleep monitoring module, a dynamic ECG (Electrocardiograph) module, a dynamic blood pressure module, a fetal heart monitoring module, a body temperature monitoring module, a blood oxygen monitoring module and a blood sugar monitoring module; the remote server is used for receiving monitoring parameters of the personal monitoring terminal; the cloud server is used for receiving and analyzing data of the remote server; the remote analysis server is used for analyzing the statistical result of the cloud server and improving the living habit of a user; the health data server is used for storing testing data of a user; the remote alarm monitoring module is used for monitoring the health parameters of the user, and when an unusual condition occurs suddenly, a first-aid unit can be informed; the remote consultation module is used for sending the data of the user to relevant specialized personnel, and providing online consulting services. All functional modules are mutually compatible, the use cost is reduced, the relevant data can be deeply analyzed, a real-time monitoring and consultation service can be provided, and great conveniences are brought to the user.