27 results about "Sleep study" patented technology

1. The name of the design product: monitor (polysomnography monitoring system). 2. The use of the design product: sleep monitor. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model discloses a collection box body applied to a sleep monitoring system. The collection box body comprises a box body, a turning cover and a protection plate, a detection plate is arranged on the upper surface of the protection plate; loudspeakers are arranged on the two sides of the flip cover; the detection plate is electrically connected with the loudspeaker; the protection plate is rotatably arranged on the flip cover through a hinge; the protection plate comprises protection cotton located on the lower surface of the protection plate. Through the arrangement of the detection plate, when the detection unit is placed in place, the detection unit firstly makes contact with the detection plate, the detection plate triggers a contact signal, then the signal is transmitted to the loudspeaker, the loudspeaker gives an alarm to prompt an operator, and damage of the detection unit to the display screen is reduced; by setting the switching mode of the contact piece and the contact head, the detection function of the detection board can be triggered only after the protection board is closed, and alarm caused by mistaken touch is avoided.

The utility model discloses a PSG sleep monitoring elastic cap and a sleep monitoring system. The PSG sleep monitoring elastic cap comprises a net-shaped cap body, a neck tying belt and a plurality of hollow clamping rings used for clamping PSG sleep monitoring electrode plates. The hollow clamping ring comprises an FP2 electrode position clamping ring, an F4 electrode position clamping ring, a C4 electrode position clamping ring, an O2 electrode position clamping ring, an M2 electrode position clamping ring, an FP1 electrode position clamping ring, an F3 electrode position clamping ring, a C3 electrode position clamping ring, an O1 electrode position clamping ring, an M1 electrode position clamping ring, an E1 electrode position clamping ring, an E2 electrode position clamping ring, a chin2 electrode position clamping ring, a chin1 electrode position clamping ring and a chin3 electrode position clamping ring, the head-mounted net-shaped cap has the advantages that the head-mounted net-shaped cap body can quickly position the positions of all electrode positions of the brain of a patient, manual positioning and marking are not needed, after the lead wire is connected with the PSG sleep monitor, monitoring data are stable, correct diagnosis is facilitated, the lead wire is convenient to disassemble and assemble, the patient can get out of bed to go to the toilet and does not need to relieve the bowels beside the bed, and the net-shaped cap body can be disinfected and reused and conforms to hospital infection.

To provide a sleep check system or the like capable of collectively displaying and collectively confirming and inputting the directions or the like of the bodies of a plurality of object persons.SOLUTION: An infant sleep check system for checking sleep states of a plurality of subjects includes a detection unit configured to detect a body orientation of each of the subjects for each first predetermined period and a body temperature of each of the subjects for each fourth predetermined period, a collection unit configured to generate posture information indicating the body orientation including a supine state and a prone state for each of the subjects and generate information indicating a body temperature for each of the subjects, and a display unit configured to collectively display text information indicating that the body orientation is supine using a list for the number of subjects and display the body temperature for each of the subjects for the number of subjects.SELECTED DRAWING: Figure 1

Systems, devices, and methods are provided for performing a sleep study of a subject. The methods include obtaining data from one or more body signals, the one or more body signals being non-brain signals, and determining an arousal or arousal-associated event of the subject using the data from one or more body signals. In a preferred embodiment, the one or more body signals include data obtained from one or more RIP belts.

The present invention is implemented as a non-face-to-face non-contact fall monitoring system, and a non-contact sleep monitoring system and method, which improve reliability of fall detection through detection of a fall of a user using radar signals and thermal image signals, and analyze a sleep state of the user and provides guidance thereon.

The embodiment of the invention provides a real-time active feedback sleep monitoring system and method based on a ring. According to the system and the method, sound information data and physiological information data acquired by a ring are acquired through a microphone array of the charging dock, localized real-time analysis of the ring is realized by adopting an edge calculation algorithm, and multi-stage vibration tactile feedback is generated based on a vibration motor arranged in the ring, so that real-time active feedback can be realized during risk pre-judgment.

The embodiment of the invention provides a multi-modal data fusion sleep monitoring system and method based on collaboration. The system comprises a mobile detection terminal, a charging dock used for charging the mobile detection terminal and a cloud data platform, the mobile detection terminal only needs to collect physiological data, and the charging dock serves as data transfer and is selectively detachably connected with multiple detection modules to supplement the modality of detection data. The cloud data platform performs data analysis and fusion to obtain a sleep analysis result, so that comprehensive information data of various types / modalities can be obtained under the condition of limited cost, and meanwhile, the cloud data platform has strong data processing capability.

An inner supporting framework for a sleep monitoring system box body comprises a bottom plate. A first mounting opening is formed in the rear end of the bottom plate; a second mounting opening is formed in the front end of the bottom plate; first fixing openings are formed in the two sides of the first mounting opening; the hinge seat is arranged at the rear end of the bottom plate; the support is rotationally connected with the bottom plate through the hinge base. The hinge seat comprises a trapezoidal table; a fixing groove is formed in the trapezoidal table; a first connecting piece is arranged in the fixing groove; the hinge base further comprises a second connecting piece. The first fixing ring and the second fixing ring are aligned in circle center and are rotationally connected through a connecting column. A T-shaped fixing piece is arranged at the tail end of the second fixing ring; the bottom of the support is fixedly connected with the T-shaped fixing piece. The first connecting piece and the second connecting piece are connected to the connecting column in a sleeving mode at the same time to achieve the rotating function, when one connecting piece is loosened, the other connecting piece can still keep stable connection, meanwhile, due to the fact that a plurality of parts are fixedly connected, later disassembly for maintenance and replacement is facilitated, and overall maintenance is not needed.

The invention belongs to the field of smart home, and particularly relates to a smart pillow, a sleep monitoring system, a storage medium and a computer program product. The intelligent pillow comprises a pillow body, a two-dimensional stress monitoring film and a signal acquisition circuit, the two-dimensional stress monitoring film is installed in the pillow body in an embedded mode and comprises a plurality of sensing units, a flexible driving circuit and a base film. The sensing unit comprises a bottom structure composed of a conductive fabric layer and an elastic filling layer, and a top structure composed of a dielectric fabric layer, a flexible insulating layer and a transverse resistance layer. The signal acquisition circuit is electrically connected with the two-dimensional stress monitoring film; and the position information of each sensing unit and the transverse stress value and the longitudinal stress value detected by the sensing unit are output. The sleep monitoring system comprises the intelligent pillow, a communication module and an upper computer, and the upper computer analyzes monitoring data of the intelligent pillow and generates a sleep quality report. The household article with the sleep monitoring function solves the problems that an existing household article with the sleep monitoring function generally has a hard assembly, is single in function and has potential safety hazards.

The invention relates to the technical field of sleep assisting equipment, in particular to a pillow capable of assisting sleep, which comprises a pillow main body, the pillow main body is integrated with a noise reduction transparent structure, a white noise sleep assisting module, a sleep monitoring system, an earthquake early warning device, an AR eyeshade assembly, an intelligent alarm clock, a wireless communication module and a mobile terminal; the noise-reducing transparent structure comprises a sound-absorbing fabric layer, a porous elastic filling layer and a breathable pore channel; the white noise sleep aiding module comprises an audio storage unit, a loudspeaker and a control key; the sleep monitoring system comprises a sensing unit and a data processing unit; the earthquake early warning device comprises a vibration sensor, an alarm and a power supply module; the AR eyeshade assembly comprises an eyeshade body, an AR display unit, an adjustable elastic head band and a buckle; the intelligent alarm clock comprises an audio player and a light wake-up unit. The device has the advantages of being high in function integration level, good in sleep improvement effect, accurate in sleep monitoring, high in safety guarantee and flexible and convenient to use.

A computer-implemented method and corresponding computer-based system detect sleep apnea. The computer-implemented method transforms electroencephalogram (EEG) data into features. The EEG data is produced from EEG signals output over a window of time while a patient is awake. The EEG signals are output by at least two EEG electrodes coupled to the patient. The computer-implemented method further detects sleep apnea in the patient by applying a prediction model to the features. The features represent electrodynamics of a brain of the patient as measured over the window of time via the at least two EEG electrodes while the patient is awake. Such a computer-implemented method and computer-based system obviate an overnight sleep study of the patient in order to diagnose the patient as having sleep apnea.

The present invention relates to a control method and control system for a smart bed, and a storage medium, a bedstead, a mattress and a smart bed, and solves problems in the prior art such as a relaxation effect being unsatisfactory, comfort during relaxation being poor, and operations being complex. The following technical solution is used: by means of making a mattress and a bedstead coordinate with each other, realizing at least one of intelligent angle adjustment for sleep aid, vibration massage for sleep aid, heating for sleep aid, and air-spring soothing massage for sleep aid; and a sleep monitoring system implementing sleep state management and relaxation sleep-aiding schemes, thereby realizing at least one of the intelligent angle adjustment for sleep aid, the vibration massage for sleep aid, the heating for sleep aid and the air-spring soothing massage for sleep aid of the mattress and / or the bedstead. By means of the sleep monitoring system implementing the sleep state management and relaxation sleep-aiding schemes, the aims of assisting sleep, improving sleep quality, improving personalization and systematization, and realizing one-key sleep-aiding adjustment are realized.

The invention provides a non-inductive sleep monitoring system, a non-inductive sleep monitoring method, non-inductive sleep monitoring equipment and a medium. The non-inductive sleep monitoring system comprises a non-inductive sleep monitoring equipment end, a cloud server and a non-inductive sleep monitoring display end, the non-inductive sleep monitoring equipment end is in communication connection with the cloud server, and the cloud server is in communication connection with the non-inductive sleep monitoring display end. According to the method, the BCG signal when the user sleeps is collected through the non-inductive sleep monitoring equipment end, body movement state detection of the user on the bed is achieved through the BCG signal, for example, the condition that the user is in the bed or out of the bed or the body movement state and the like can describe the overall activity condition in the bed is judged, and under the condition that the user is judged to be in the bed, the heart rate / respiration rate parameter of the user is detected through the BCG signal; according to the method and the device, the problem of poor sleep monitoring effect of the user in related technologies is solved, the monitoring accuracy is ensured while the user experience is ensured, and the sleep monitoring effect of the user is further improved.

The present invention is characterized by being embodied in a non-face-to-face, non-contact fall monitoring system and a non-contact sleep monitoring system and method that improves the reliability of fall detection by detecting a user's fall using radar signals and thermal image signals, and also analyzes and provides guidance on the user's sleep state.

To provide a sleep monitoring system, a sleep monitoring method, and a control device capable of improving determination accuracy of a breathing state of a sleeper.SOLUTION: The signal transmitter / receiver 3 is, for example, a radar, and repeatedly executes an operation of transmitting a transmission wave to the sleeper and receiving a reflected wave while changing a detection point so as to traverse the body of the sleeper. The calculation unit 10 calculates a body movement displacement amount, which is a time-series change in the distance between the sleeper and the signal transmission / reception unit 3, at each of the plurality of detection points. The body motion displacement amount is a value calculated based on the distance information acquired by the signal transmission / reception unit 3 during a predetermined time, and is a displacement amount of the body according to the respiration of the sleeper. The determination unit 11 determines the respiratory state of the sleeper during sleep based on the amount of body motion displacement calculated by the calculation unit 10.SELECTED DRAWING: Figure 1

The present invention discloses a sleep monitoring method based on a privacy protection camera and a radar, which is applied to a sleep monitoring system based on the privacy protection camera and the radar, comprising: a radar for acquiring radar three-dimensional data and collecting human vital signs; a privacy protection camera, which is arranged in the same monitoring area of ​​the radar and is used to obtain a spatially blurred image; the method comprises: acquiring radar three-dimensional data of the current space by the radar, acquiring a spatially blurred image of the current space by the privacy protection camera, identifying the spatial position and range of a bed by the radar three-dimensional data and the blurred image; acquiring the current human position and posture by the radar three-dimensional data and the spatially blurred image, and judging whether the human body is in bed according to the current human body position and posture; if the human body is currently in bed, locating the human chest position according to the human body position and posture, and collecting human vital signs at the human chest position by the radar.

Novel auricular sleep monitoring systems and ear-canal pulse oximeter may be configured to be coupled to a wearer's ear or peri-auricular area. The sleep monitoring systems may include one or more of an auricular electrooculogram (EOG) system; an auricular electroencephalogram (EEG) system; an auricular electrocardiogram (ECG) system; and an ancillary sleep surveillance system, comprising a conventional pulse oximeter or a novel ear-canal pulse oximeter and other sleep-relevant sensors. A processing unit may be configured to analyze data from EOG system, EEG system, ECG system, pulse oximeter and other sleep-relevant sensors to assess the wearer's sleep profile. When obstructive sleep apnea is detected, a notification may be automatically generated immediately to warn the wearer to take appropriate actions. These wearable sleep monitoring systems may be housed in earbud-style or hearing-aid-style structures, suitable for snugly pre-mounted electrodes, easy self-installation or self-removal and nightly use at home.

The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.

This invention relates to the field of sleep monitoring technology, specifically to an intelligent water-heated blanket sleep monitoring system based on non-contact physiological signal acquisition. The system includes: a power management module that provides power to the functional modules and performs power isolation and decoupling protection; a non-contact signal acquisition module that collects physiological signals such as heart rate, respiration, and body movement during sleep, as well as temperature and humidity data of the sleep environment; an analog signal conditioning circuit unit that performs impedance matching, gain adjustment, and multi-channel separation processing on the physiological signals, extracting and purifying high-fidelity signals; a main control processing and intelligent analysis unit that performs analog-to-digital conversion, feature extraction, and sleep state identification on the processed physiological signals, judging abnormal physiological states and generating health warning information; and a wireless communication and cloud management unit that interacts with a cloud platform to store, analyze, and manage sleep data in the cloud and push monitoring data and warning information to user terminals. This solves the problems of limited functionality and low recognition accuracy in existing technologies.

The invention provides a sleep monitoring system and method based on multi-sensor fusion. The sleep monitoring system comprises a host and the following modules arranged in the host: a main control module; the electroencephalogram acquisition module is connected with the main control module and is used for acquiring electroencephalogram signals; the multi-axis motion sensor module is connected with the main control module and used for collecting motion signals; the multi-axis motion sensor module at least comprises an accelerometer for collecting acceleration and a gyroscope for collecting angular velocity; the main control module is responsible for controlling the electroencephalogram acquisition module and the multi-axis motion sensor module to acquire data and can process the acquired data in real time. The sleep monitoring method is realized based on the sleep monitoring system. The system is provided with the multi-axis motion sensor module, acceleration data and angular velocity data can be obtained, the main control module can effectively combine the angular velocity data and the acceleration data, turning body motion and breathing motion are effectively distinguished, and misjudgment is reduced.

The invention provides a sleep monitoring system and method, and the system comprises an electroencephalogram collection module which is used for collecting electroencephalogram original data and head angular acceleration data in the sleep process of a user as first original data; the PPG acquisition module is used for acquiring PPG original data and hand acceleration data in the sleep process of the user as second original data; the local calculation module is used for performing sleep primary analysis according to the first original data and the second original data to obtain a primary analysis result; the cloud computing module is used for performing sleep secondary analysis according to the primary analysis result, the first original data and the second original data to obtain a secondary analysis result; and the user interaction module is used for carrying out visualization processing on the primary analysis result and / or the secondary analysis result for a user to check. According to the method, operation tasks are shared through multi-stage operation, the calculation pressure of each module is reduced, the use cost is low, and the expansibility is good.

A computer-implemented system and method for encoding full-night, multichannel sleep study data via a foundational transformer sleep stage classification, including: generating, by at least one computing device employing a patch-based, self-supervised transformer model, encodings, wherein the encodings are generated using full-night, multi-channel polysomnography data; inputting, by the at least one computing device, the encodings into a supervised, bidirectional, gated recurrent unit probing head; and classifying, by the computing device as a function of the encodings input to the supervised, bidirectional, gated recurrent unit probing head, sleep stages.

This invention relates to a sleep monitoring system based on a brain-computer interface and a PPG module, belonging to the field of sleep monitoring technology. The system includes: a brain-computer interface module for acquiring EEG signals and extracting EEG features; a PPG module for acquiring pulse wave signals and extracting heart rate and heart rate variability features; an EEG triggering module for determining trigger anchor points; a hysteresis window module for generating a hysteresis tracking window based on the trigger anchor points and the individual hysteresis baseline; a pulse wave delay matching module for obtaining pulse wave delay response features within the window; a feedforward acquisition control module for enhancing PPG acquisition; and a fusion judgment module for determining the sleep monitoring results. By generating a hysteresis tracking window located after the trigger anchor point through the EEG trigger point and matching the PPG delay response features within this window, the system avoids missed or false positives caused by hard alignment of EEG and PPG signals at the same time, thus improving the accuracy of micro-awakening recognition.

This invention relates to the field of sleep monitoring technology for the elderly, specifically an intelligent sleep monitoring system for the elderly. The sleep monitoring belt is responsible for the precise acquisition of physiological signals, while the millimeter-wave radar is responsible for positioning the entire bed. The two systems complement each other for calibration, significantly improving the accuracy of lying position determination and avoiding the problems of inaccurate positioning and inability to determine sleeping posture associated with traditional single monitoring devices. Furthermore, the monitoring belt and millimeter-wave radar collect data synchronously, allowing for the fusion and analysis of location data, physiological parameters, and body movement trajectories. Compared to single devices, this enables the identification of more complex combinations of sleep states, improving health early warning capabilities. The threshold of the millimeter-wave radar is optimized by combining the body movement and heart rate signals from the sleep monitoring belt, reducing the false negative rate of the millimeter-wave radar for weak breathing and body movement in the elderly, making it particularly suitable for the elderly population who are very old, have weak breathing, and exhibit little body movement. Moreover, the millimeter-wave radar's data is converted into rectangular coordinates on the bed surface, which, combined with the pressure distribution of the monitoring belt, makes the determination of the lying area more accurate.

The invention relates to a wireless polysomnosis monitoring system and method based on a flexible electrode. The system comprises a flexible sensing module, a data processing module and an application module. The flexible sensing module is composed of a head flexible sensing unit, a chest flexible sensing unit and a leg flexible sensing unit. Each flexible sensing unit comprises a flexible electrode, a flexible sensor and an acquisition box; the data processing module is integrated with a body position analysis unit, a local model and a wireless communication unit, and the local model comprises a sleep breathing disorder monitoring model and a sleep staging model; the data processing module is used for analyzing the multi-mode physiological signals and completing sleep staging and respiratory disorder monitoring; the application module comprises a display unit and an auxiliary analysis unit, and a large language model is integrated in the auxiliary analysis unit. Compared with the prior art, the method has the advantages that the electrode falling risk is greatly reduced, and the monitoring comfort and safety are remarkably improved.