18 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.

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.

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 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

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.

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, 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 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.