54 results about "SLEEP APNEA (device)" patented technology

The invention provides a sleep apnea monitoring method, device and equipment and a storage medium. According to the sleep apnea monitoring method and device, shallow and deep physiological data are captured through multiple wavelength signals corresponding to multiple light sources, and blood oxygen signals are obtained through the obtained physiological data; then, analyzing local features and different weights of various physiological data and blood oxygen signals to obtain global features representing a change time sequence of a sleep breathing event of the user, and judging whether the user has a hypopnea event or not by analyzing continuous fragment features of a first preset duration in the global features; according to the scheme, whether the hypoventilation event is accurate or not is verified again in a mode of secondary confirmation of the abnormal signals according to the condition that whether the hypoventilation event occurs or not and whether continuous abnormal signals still occur or not after the hypoventilation event occurs, and the scheme can be completed through the wearable equipment, so that the equipment has the advantages of miniaturization, low power consumption and low cost; and the technical scheme is obtained through comprehensive analysis of various data, so that the accuracy of the result can be improved.

The invention relates to the technical field of signal processing, in particular to a vital sign risk assessment method for ballistocardiogram signals, which comprises the following steps of: calculating heart rate index data, sleep quality index data and sleep apnea index data based on the ballistocardiogram signals and respiratory effort signals acquired in a user monitoring process; the vital sign risk assessment method and device are used for performing vital sign risk assessment and improving the accuracy and efficiency of vital sign risk assessment.

The application discloses an obstructive sleep apnea device and method; the device comprises a mouthpiece carrier, an electrode stimulation module and a control unit, the electrode stimulation module comprises an integrated flexible circuit board transmission link, the transmission link is integrated with a stimulation electrode with a nickel-titanium alloy support strip on the inner side of the mouthpiece carrier, and the stimulation electrode can apply electric stimulation to the genioglossus muscle or hypoglossal nerve; the external control unit is provided with a microcontroller and an acoustic sensor; the method first collects an environmental background signal, processes the signal to generate a signal determination threshold, then collects a human respiratory acoustic vibration signal in real time, processes the signal to generate a respiratory sound energy value, compares the two to determine an abnormal respiratory event; after determining the abnormality, a gradient output electric stimulation is output, and a dynamic feedback mechanism is combined to adjust the stimulation intensity; when the stimulation intensity is zero and there is no abnormal signal, it is determined that the intervention is completed and the standby state is entered; the application can adapt to environmental noise, avoid current mutation discomfort, closed-loop control intervention intensity, and is suitable for sleep apnea auxiliary intervention.

The invention discloses a sleep apnea regulation and control system based on a time interference array electrode, and relates to the technical field of medical instruments. The system comprises an electrical stimulation controller and an array electrode, the array electrode comprises a plurality of electrode points, and the electrode points are configured to be paired in pairs to form a plurality of stimulation channels; the electrical stimulation controller comprises a time parameter obtaining module used for obtaining time parameters, an electrical stimulation parameter obtaining module used for obtaining electrical stimulation parameters and a control module, and the control module is used for generating and regulating electrical stimulation signals of all channels according to the electrical stimulation parameters. According to the time parameter, controlling the output and stop of the electrical stimulation signal of each channel; and the electrical stimulation module is further configured to output the electrical stimulation signals of the channels to the array electrode. The system provided by the invention realizes time interference focusing electrical stimulation and closed-loop control thereof. The problems that in the prior art, percutaneous electrical stimulation is poor in precision, sleep awakening is easily caused, and parameter titration is difficult are solved.

The present technology generally relates to methods for addressing sleep apnea in a patient. At least some of the methods may include one or more of percutaneously inserting an implantable signal delivery device at an insertion point on a patient's neck, moving the signal delivery device in a medial-to-lateral direction toward a neck loop nerve of the patient, and implanting the signal delivery device at a target location at least proximate the neck loop nerve. The signal delivery device may include at least one electrode positioned to deliver a modulation signal to tissue, such as a portion of a neck loop nerve, at least proximate to a target location. In some embodiments, delivery of the modulation signal may induce a patient's trailing-side traction, thereby addressing sleep apnea in the patient.

This application relates to the field of sleep monitoring technology, providing a method, system, device, medium, and product for sleep apnea identification. The method includes: acquiring multimodal sensing data; acquiring sleep state identification information based on the multimodal sensing data; determining that the user is asleep based on the sleep state identification information; and acquiring sleep breathing analysis information based on the sleep state identification information and the multimodal sensing data. Multimodal sensing data can comprehensively and multidimensionally capture physiological data related to sleep apnea, improving the accuracy of sleep apnea identification. Before performing apnea analysis, it first identifies whether the user is asleep; apnea identification processing is only performed when the user is asleep. Apnea identification processing is unnecessary when the user is awake, avoiding continuous complex analysis and reducing power consumption. The two-layer processing of first identifying the sleep state and then identifying apnea improves interpretability.

A device may include: a bed. A sensor may be configured to configured to: sense pressure applied to the bed; and transmit a pressure stream. A plurality of temperature sensors arranged across the bed can be configured to: sense temperature in a particular location of the bed; and transmit a datastream of the sensed temperature. A computing system comprising can be configured to: receive the pressure stream; receive each of the datastreams; identify an apnea event; generate a sequence of heart rate values for the user for cardiac activity; generate a sequence of skin temperature values for the user; determine a change in heart rate; determine a change in skin temperature within the second time window; determine a relationship between the change in heart rate and the change in skin temperature; and determine a severity score for the apnea event based on the relationship.

The present disclosure relates to a device (100) for the treatment and / or prevention and / or testing of bruxism or craniomandibular dysfunction, sleep apnea and other parafunctional movements such as tongue thrusting, which is designed to be arranged between the upper and lower jaw of a user in a dental appliance or to form a dental appliance, the device comprising a biofeedback unit, in particular a mechanism as a simultaneous sensor and feedback transmitter for biofeedback or in particular a mechanism,which, upon reaching a predetermined threshold of jaw movement and / or the force resulting from a jaw movement, snaps from a first state to a second state with a switching behavior, generating feedback to the user via one or more of the human senses, and returns to the first state when the force from the jaw movement ceases, or a sensor offset towards the occlusal surfaces, or an arrangement in a section of a mandibular occlusal splint that spans or bridges the legs (bridging section). Further devices and methods for manufacturing are also disclosed.

The utility model discloses a sleep apnea treatment mask carbon dioxide rebreathing tester which comprises a device body, the device body comprises an equipment cabinet body, a human head model, a carbon dioxide rebreathing tester and a display screen, and the carbon dioxide rebreathing tester and the display screen are both installed on the left side of the front end of the equipment cabinet body. The carbon dioxide rebreathing tester is positioned on the lower side of the display screen; a test storage bin is formed in the right side of the front end of the equipment cabinet body and is of a rectangular structure, a test mounting column is arranged in the test storage bin and is of a cylindrical structure, a model mounting table is arranged at the top of the test mounting column, the head model is mounted at the top of the model mounting table, and a test door is mounted on the outer side of the test storage bin through a hinge. The surface of the test door is provided with an observation window. According to the device, a space for detecting the sleep apnea treatment mask can be provided, and the sleep apnea treatment mask can be conveniently detected.

The application discloses a sleep apnea monitoring system based on non-contact intervention and belongs to the technical field of medical health monitoring.The application solves the problems of the PSG method in the prior art, such as complicated operation, high cost, and the discomfort brought to users by household contact devices, and influences natural sleep, physiological signals are collected by a non-contact biological radar sensor, an optimal threshold is calculated by comprehensively considering an initial threshold, an auxiliary threshold and environmental factors, and the accuracy of apnea and hypopnea event detection is improved, in combination with an apnea hypopnea index, an event duration factor, a blood oxygen drop factor and an event type factor, a severity score is calculated, patients are divided into mild, moderate and severe, according to the severity, grade and snoring sound category of real-time events, an optimal intervention measure is selected from an intervention strategy library, individualized intervention is realized, the interference on patient sleep is reduced, and the sleep quality and life quality are improved.

The application provides a sleep apnea detection method and a detection device, and relates to the technical field of respiration detection. The method comprises the following steps: extracting physiological signals under each channel from a polysomnogram in a detection period, dividing the detection period according to a preset time to obtain a plurality of time segments; determining a signal identifier corresponding to each physiological signal, and dividing each physiological signal according to the signal identifier to determine a first signal type and a second signal type; for each time segment, inputting the physiological signals corresponding to the first signal type of the time segment into a first sleep apnea detection model to obtain a first set, and inputting the physiological signals corresponding to the second signal type of the time segment into a second sleep apnea detection model to obtain a second set; and identifying the proportion of patients with apnea based on the first set and the second set. Through the application, the plurality of physiological signals are processed, and the accuracy of the sleep apnea result is improved.

Systems and methods for monitoring and staging sleep using cardiac and respiratory information are disclosed. An exemplary system includes a storage device to store a trained hybrid sleep detection and classification model, the model including a plurality of trained machine learning models, each model trained to map input cardiac and respiratory data to one of a plurality of different model-specific awake or sleep categories, and a trained regression model for combining the model-specific awake or sleep categories into a composite awake or sleep classification. A sleep detector applies cardiac and respiratory information of the patient to the trained hybrid sleep detection and classification model to determine a composite awake or sleep classification for the patient. Composite waking or sleep classification is used to diagnose medical conditions, including sleep apnea.

Embodiments provide device for treating sleep apnea, the device including: a. stand, a chin and neck support, an applicator integrated into the chin and neck support configured to provide High-Intensity Focused Electromagnetic Technology (HIFEM) therapy and Radio Frequency (RF) therapy, and a control panel configured to adjust an intensity of the delivered HIFEM and RF therapies in real-time. Tire applicator is configured to provide HIFEM therapy by delivering HIFEM energy to a patient's mouth, throat, and neck to stimulate and strengthen muscles associated with the patient's breathing, and further configured to provide RF therapy by delivering RF energy to reduce fat tissue in the patient's airway.

An implantable medical device for treating breathing disorders such as central sleep apnea wherein stimulation is provided to the phrenic nerve through a transvenous lead system with the stimulation beginning after inspiration to extend the duration of a breath and to hold the diaphragm in a contracted condition.

A technology system implements processing apparatus, such as one or more server(s) and / or respiratory therapy device(s) (4000), to characterize insomnia such as for comorbid sleep apnea and insomnia (COMISA) subjects. The technology may be implemented with artificial intelligence, such as machine learning. The technology may be configured to receive objective data relating to a user's therapy and / or sleep from sensor(s) associated with the user. The sensor(s) may be in. or associated with, a positive airway pressure (PAP) device. The technology may be configured to receive subjective data relating to the user's sleep. The technology may be configured to input the objective data and subjective data into a classification system or classifier. The classifier may then apply the objective and subjective data to (a) determine key characteristics for patients that distinguish phenotypes of COMISA; and / or (b) distinguish phenotypes of COMISA based on previously7 determined ones of the key characteristics.

The invention discloses a preparation method of a common-structure bimodal respiration sensor based on a printing process, and aims to solve the problem that an existing respiration sensor cannot monitor and recognize a mouth-nose respiration mode. According to the device, NaCl is loaded on leather fibers through ultrasonic soaking to form a humidity-sensitive layer. Then, a G / PEDOT: PSS positive electrode and a Zn negative electrode are sequentially subjected to silk-screen printing on the substrate, and after drying and curing, silver paste is smeared at end points to form a lead area; the sensor responds to temperature change through positive electrode resistance, and responds to humidity change through open-circuit voltage between the positive electrode and the negative electrode. Based on the difference between the breath temperatures of the mouth and the nose, various breathing modes can be stably recognized in real time, and accurate distinguishing between mouth breathing and nose breathing is achieved. The system has high customizability, the dual-mode common structure design of the system has important significance on the development of wearable and multi-mode sensors, and the system can be widely applied to the fields of sleep respiratory disease monitoring, respiratory rehabilitation management and the like.

This invention relates to the field of intelligent decision-making technology, and discloses a multimodal sleep apnea detection method, device, equipment, and medium. The method includes: acquiring radar signals and the target user's blood oxygenation signal and sleep posture signal; fusing the radar signal, blood oxygenation signal, and sleep posture signal into a multimodal continuous signal; segmenting the multimodal continuous signal window to obtain signal segments; extracting multimodal physiological fusion features from the signal segments; classifying the signal segments into respiratory event types based on the multimodal physiological fusion features; applying rule constraints to correct the respiratory event types to obtain corrected respiratory event types; and using the corrected respiratory event types as the sleep apnea detection result. By classifying the signal segments into respiratory event types, the objectivity and accuracy of the detection results are improved; and by applying rule constraints to correct the respiratory event types, the detection results are made more in line with clinical standards, improving the reliability and practicality of the results.

This application discloses a method and device for early warning of sleep apnea in newborns, relating to the field of intelligent monitoring and pattern recognition technology. The method includes: acquiring initial audio data and real-time monitoring audio data of a newborn's sleep; performing feature analysis on the initial audio data to construct a standard breathing pattern, i.e., a dominant frequency signal, characterizing individual breathing features; dividing the real-time monitoring audio data into multiple time segments, calculating the pattern matching degree between each time segment and the standard breathing pattern to identify variations in the breathing waveform; and classifying and discriminating based on the matching degree to generate a risk warning signal for sleep apnea. This application achieves accurate identification and early warning of newborns' sleep breathing state by constructing personalized standard breathing patterns and using pattern matching algorithms to quantify the differences between real-time data and the standard pattern.

A system for administering medical procedures to patients is provided. [Solution] The system includes at least one of an energy delivery device, a long-term energy delivery device, and / or a power supply device. In particular, the system may be configured to treat and / or diagnose patients suffering from sleep apnea. Methods and apparatus for treating sleep apnea and other medical conditions are also provided.

This application provides a method, device, electronic device, and storage medium for detecting sleep apnea, relating to the field of medical testing technology. The method includes: acquiring multi-source physiological signals from a patient in a conscious state; filtering the multi-source physiological signals to obtain time-frequency maps corresponding to electroencephalograms (EEGs) and electrocardiomyograms (ECMs) corresponding to respiratory physiological signals for each channel; using frequency feature dimensionality reduction models and respiratory feature dimensionality reduction models to perform feature dimensionality reduction processing on the time-frequency maps and respiratory physiological signals, respectively, to obtain frequency features and respiratory features; inputting the frequency features and respiratory features into an apnea detection model for feature fusion and time-series dependency capture to obtain sleep apnea detection results. By employing the above-mentioned method, device, electronic device, and storage medium for detecting sleep apnea, the problems of high cost, low detection efficiency, and poor accessibility in sleep apnea detection are solved.

A system includes a respiratory therapy system, a memory device, and a control system. The respiratory therapy system includes a respiratory therapy device supplying pressurized air and a user interface connected via a catheter to the respiratory therapy device to direct the pressurized air to the user's airway. The memory device stores machine-readable instructions. The control system includes a processor to execute the machine-readable instructions to: generate data associated with the user of the respiratory therapy system during a current sleep period; analyze the generated data to determine a value of a first indicator associated with sleep apnea (SDB); analyze the generated data to determine a value of a second indicator associated with a health condition other than SDB; and cause an action to be performed based at least in part on the determined value of the second indicator.

A Mandibular Advancement Device (MAD) is disclosed which is useful for the treatment of snoring and Obstructive Sleep Apnea (OSA). The improved MAD design comprises upper and lower splints which can be set at an advanced protrusive position (as desired for snoring / OSA therapy), but which also permits some degree of lateral mandibular movement. The amount of protrusive mandibular advancement is adjustable.

This utility model relates to the field of medical device technology, and discloses a modular multi-form respiratory mask assembly and a sleep apnea treatment device. The modular multi-form respiratory mask assembly includes a flexible tube, a curved tube, a support, and a mask body arranged separately. The support is positioned and connected to the mask body, the curved tube is fastened and fixed to the mask body, and the flexible tube is fastened and fixed to the curved tube. The fastening mechanism allows for quick replacement of at least one of the flexible tube, curved tube, support, or mask body by inserting or removing the fastening components. The modular design and plug-in fastening structure improve component interchangeability, reduce production costs, simplify use and maintenance, reduce user learning costs through a standardized assembly method, facilitate cleaning and disinfection through a detachable structure, and allow for quick component replacement to meet different treatment needs and size adaptations.

The application relates to a sleep apnea detection method and device, an embedded device and a storage medium. The method comprises the following steps: acquiring PPG signal data of a user during sleep, preprocessing the PPG signal data to obtain a plurality of PPG signal segments, extracting a one-dimensional time sequence feature vector reflecting the change of heart rate and blood flow for each PPG signal segment, converting the PPG signal segment into a two-dimensional spectrum image, extracting a two-dimensional image feature vector reflecting the spectrum structure characteristics based on the two-dimensional spectrum image, fusing the one-dimensional time sequence feature vector and the two-dimensional image feature vector to obtain a fusion feature vector, performing standardization and dimension reduction processing on the fusion feature vector to obtain a target feature vector, inputting the target feature vector into a trained classification model for classification to obtain a classification result of whether the PPG signal segment has an apnea event. The method can improve the accuracy of sleep apnea detection.

This invention discloses a smart sleep apnea early warning system and method based on multi-sensor fusion in a mobile phone. The system includes: a data acquisition module for collaboratively acquiring multimodal data from the phone's built-in microphone, accelerometer, and optional wearable device heart rate sensor in low-power mode; a data processing module, including a data preprocessing unit and an improved CNN-LSTM early warning model, for noise reduction, feature extraction, and identification of apnea events in the acquired data; and an output module for triggering a graded early warning and generating a health report when an apnea event meeting preset conditions (single apnea ≥ 10 seconds and confidence ≥ 85%) is identified. This invention achieves high-precision (accuracy ≥ 90%) and low-power (nighttime monitoring power consumption ≤ 5mA) non-contact sleep monitoring through multi-sensor fusion and lightweight model design, effectively solving the problems of poor convenience, missing early warnings, and high power consumption in existing technologies, and is particularly suitable for home health management scenarios.

An oral positioning device is provided to solve the problem of surgical risks associated with the conventional method of improving sleep apnea. The oral positioning device includes an upper positioning cover, a lower positioning cover, and two positioning members respectively connected to the upper positioning cover and the lower positioning cover. The upper positioning cover includes a groove, and an outer sidewall and an inner sidewall are respectively located on two opposite sides of the groove of the upper positioning cover. The lower positioning cover includes a groove, and an outer sidewall and an inner sidewall are respectively located on two opposite sides of the groove of the lower positioning cover. The lower positioning cover protrudes beyond the upper positioning cover by a protruding distance. The oral positioning device can prevent the user from breathing obstruction caused by tongue base muscles during sleep.

An apparatus for treating sleep apnea and other sleeping disorders, including snoring and bruxism, but also mouth cavity hygiene, and also possibly drug delivery is provided. The apparatus comprises a device configured to be installed on a user's teeth to maintain a relative position of the upper and lower jaws, and a holding material. The device comprises at least one back part, such as a first back part, a second back part and connecting portion (if two back parts are provided), the first back part having an upper side and a lower side configured to contact at least one premolar and / or molar of the upper and lower jaws, respectively, of the right side of a user's teeth when the user's teeth are in a substantially closed position, and the second back part having an upper side and a lower side configured to contact at least one premolar and / or molar of the upper and lower jaws, respectively, of the left side of the user's teeth when the user's teeth are in a substantially closed position, the connecting portion connecting the first and second back parts and configured to extend along the front teeth of the user's teeth. The holding material is included in or configured to be applied to the first and second back parts to secure contact of the teeth with the first and second back parts, respectively, by creating an adhesive effect, a vacuum effect, or a mechanical holding effect on the teeth in contact with the first and second back parts, respectively.

This utility model relates to the technical field of sleep apnea treatment equipment, and discloses an anti-asphyxiation component structure and a sleep apnea treatment device. A valve plate mechanism is arranged on a bend and located in the airflow channel of the bend. An adaptive limiting seal structure is provided between the valve plate mechanism and the bend. The adaptive limiting seal structure is used to restrict the radial, axial, and circumferential movement of the embedded part of the valve plate mechanism and to achieve a seal between the embedded part of the valve plate mechanism and the bend. The valve plate part of the valve plate mechanism extends into the airflow channel and is used to undergo a combined change of axial bending and / or radial compression or return to the initial state according to the change of air pressure in the airflow channel, thereby realizing the switching between the closed and open states of the anti-asphyxiation valve. Through the coordinated cooperation of the adaptive limiting seal structure and the valve plate mechanism, adaptive sealing is achieved during the switching process between the closed and open states of the anti-asphyxiation valve.

The invention discloses a sleep apnea classification device based on lightweight deep learning, and the device mainly comprises a double-branch feature extraction unit which is used for carrying out the parallel processing of long and short window ECG signals inputted by a global branch and a local branch, and respectively extracting the dynamic features of different granularities; the cross-scale attention mechanism unit is used for fusing cross-scale channel attention and cross-scale time attention and realizing dynamic weighted selection of features in channel dimensions and time dimensions under different time scales; and the self-adaptive feature fusion unit is used for generating a gating signal by utilizing global feature information of the global branch, dynamically adjusting the relative contribution degree of feature representation of the local branch and the global branch, and fusing the local branch and the global branch into enhanced combined feature representation for classification of sleep apnea. The device can effectively extract and fuse the multi-granularity features of the short time interval and the long time interval, improve the classification precision, reduce the model parameter scale and the calculation complexity, and facilitate the deployment of edge equipment.