67 results about "Sleep apnea" patented technology

The invention discloses an electrocardiosignal-based sleep apnea detection method and system and a storage medium. The method comprises the following steps: acquiring a target electrocardiosignal to be analyzed, performing R peak identification on the target electrocardiosignal, calculating an RR interval between two adjacent R peaks, and acquiring a voltage amplitude of the electrocardiosignal at the R peak position as an R peak amplitude; on the basis of the RR interval, the RR interval is converted into an instantaneous heart rate sequence, resampling operation is carried out on the heart rate sequence, interpolation processing is carried out on non-uniform sampling points obtained after resampling so as to obtain a continuous and equally-spaced heart rate curve, and signals of a breathing-related frequency band are extracted through filtering to serve as electrocardio derived breathing signals; and splicing the RR interval, the R peak amplitude and the electrocardio-derived respiration signal to form a multi-channel feature, and inputting the multi-channel feature into a trained sleep respiration detection model to obtain sleep apnea state judgment information. Therefore, the apnea state can be detected more comprehensively, and the accuracy of sleep apnea detection is improved.

1. The name of the design product: headband for sleep apnea electrical stimulation instrument. 2. The use of the design product: headband for sleep apnea electrical stimulation instrument, providing non-invasive treatment for patients with obstructive sleep apnea syndrome. 3. The design features of the design product: the shape of the design product. 4. The picture or photo that best indicates the design features: perspective view 1.

A method of establishing a model for detecting atrial fibrillation (AF) and sleep apnea (SA) is implemented by a computer system that stores training electrocardiograms, and includes steps of: dividing the training electrocardiograms into training segments, each of which contains a common length of time of recorded electrical activity of a heart; for each of the training segments, labeling the training segment with a symptom indicator that indicates whether the training segment is related to AF and whether the training segment is related to SA; for each of the training segments, performing feature extraction on the training segment to obtain an entry of feature data; and establishing the model by using a machine learning algorithm based on the entries of feature data and the symptom indicators.

The invention provides a radar non-inductive respiration monitoring system and method based on a passive wrinkled airbag, and the system comprises a sleep monitoring pillow and a respiration recognition and abnormity monitoring subsystem, the respiration recognition and abnormity monitoring subsystem comprises a signal monitoring and coupling module which processes original monitoring data, and transmits the processed data to the sleep monitoring pillow; a human body respiration direct measurement signal and an air bag coupling amplification signal are obtained; the state recognition and inversion module is used for carrying out in-place state recognition, sleeping posture recognition and airbag state inversion on the coupled double-domain fusion respiration candidate data to obtain state constraint data; the respiration reconstruction and feature extraction module is used for performing screening and feature extraction on the double-domain fusion respiration candidate data to obtain respiration feature data; and the abnormity identification and confirmation module is used for identifying the apnea candidate event and the abnormal event, obtaining an abnormity judgment result and carrying out graded alarm pushing. According to the invention, through the non-inductive pillow type structure and radar-air bag double-domain fusion perception, breathing abnormity intelligent monitoring with high robustness and low false alarm rate is realized.

The invention relates to the technical field of medical identification, in particular to a sleep apnea real-time monitoring and early warning system, which comprises an acquisition module used for acquiring PSG data of a target user from a sleep moment to a current moment; the determination module is used for determining all OSA events from the sleep moment to the current moment according to a spectrogram of respiratory effort waves and a spectrogram of airflow of a window corresponding to each moment in the PSG data; the determining module is further used for determining the blood oxygen consumption time period of the current OSA event; the determination module is also used for determining a trusted OSA event; and the early warning module is used for constructing an early warning model of the target user by using the PSG data of the credible OSA event, and performing sleep apnea early warning on the target user by using the real-time PSG data of the target user acquired in real time and the early warning model. According to the invention, the accuracy of OSA diagnosis is improved.

Compositions including Δ-9-tetrahydrocannabinol (THC) and a carbonic andydrase inhibitor and methods of using these compositions for the treatment of obstructive sleep apnoea (OSA). The treatment method also includes administering dronabinol and acetazolaminde and combinations thereof to a subject in need thereof.

The present application belongs to the technical field of sleep respiratory disease detection, and is a sleep apnea identification method based on a hybrid neural network. The method uses a millimeter wave radar to perceive human sleep in a surrounding bed environment, adopts spatial two-dimensional analysis to locate the chest cavity position, and solves the interference problem in radar sign extraction of different targets at the same distance. Shannon entropy of the respiratory signal is constructed as an iteration index of the whale optimization algorithm, and the minimum index is used to realize iteration optimization of the variational mode extraction parameter, so that different breathing states are matched with different parameters to accurately extract the main frequency narrowband respiratory signal. The respiratory time-frequency energy graph obtained through data processing is used as input, and a CNN network and a bidirectional long short-term memory module are used to jointly construct a feature extraction module, so that the application can identify the frequency change trend over time, capture more comprehensive features, and accurately identify target sleep apnea. In addition, the hybrid network can accurately classify unmanned scenes, apnea, low ventilation and normal breathing.

The application discloses a sleep apnea detection method based on a millimeter wave radar, and relates to the technical fields of radar signal processing and vital sign detection.The method comprises the following steps: transmitting a detection signal to a target through a millimeter wave radar to obtain an intermediate frequency signal and a signal transformation matrix; calculating a dynamic energy change value based on the preprocessed signal transformation matrix, and determining a target distance bin of each frame according to a statistical result of the dynamic energy change value; determining whether the target is in a position stable state according to the discrete degree of the target distance bin of each frame in a preset time window; extracting a phase signal at the target distance bin of each frame in the window in the position stable state, obtaining a breathing signal waveform curve based on the phase signal, and detecting a sleep apnea event.The application can realize high-precision detection of the sleep apnea event under various complex conditions, and effectively solves the problems of unstable target locking, large noise interference and lack of distance adaptability in state determination.

The invention discloses a sleep monitoring and intelligent early warning system and method based on a multi-modal time sequence signal, and the system comprises a multi-modal sensor module which is used for collecting an original heterogeneous time sequence signal of a subject in a sleep period; the time sequence data preprocessing module is used for performing timestamp alignment, band-pass filtering noise reduction, baseline drift correction and sliding window segmentation on the original heterogeneous time sequence signals and extracting multi-modal feature vectors; the sleep feature recognition module is used for receiving the multi-modal feature vector, performing deep feature learning and outputting sleep staging probability distribution and a sleep apnea event detection mark; the large language model module is used for performing joint coding on an output result, a historical sleep file of the subject and a clinical diagnosis text to generate a structured sleep quality assessment report and health risk association analysis; and the multi-level intelligent early warning and decision support module is used for triggering early warning signals of different levels and generating personalized sleep intervention suggestions.

An air mattress and related air pressure control system, where the air mattress can change shapes to help reducing snoring and sleep apnea. The air mattress has individually inflatable and deflatable air compartments that can be inflated to different degrees to create a desired profile, such as a sloped profile, of the air mattress. When the air mattress is used for sleeping, a controller controls the inflation and deflation of the air compartments upon detecting a snoring sound. The air compartments are inflated by compressed air from a compressed air cylinder, rather than a pump, so as to reduce noise during operation. When the air mattress is not used for sleeping, the compressed air cylinder may be re-filled by a pump.

In general, the invention relates to pharmaceutical compositions comprising (R)-oxybutynin and a norepinephrine reuptake inhibitor (NRI) and methods of treating Sleep Apnea comprising administering (R)-oxybutynin and a norepinephrine reuptake inhibitor (NRI). In some embodiments, the NRI is atomoxetine.

The invention provides a multi-domain electrocardio intelligent analysis method of a mixed Fourier and wavelet convolutional neural network, belongs to the technical field of artificial intelligence and medical health crossing, and solves the technical problems that global spectrum features and local transient features are difficult to consider and task generalization is poor in traditional single-domain ECG analysis. According to the technical scheme, the method comprises the following steps: S1, preprocessing an ECG signal, filtering, segmenting, normalizing and enhancing data; s2, constructing a three-branch model; s3, fusing the attention mechanism with multi-domain features; s4, setting a task classification head; s5, using Adam optimization and an early stop strategy to prevent overfitting; and S6, inputting data, and outputting arrhythmia classification, biological recognition and sleep apnea detection results. According to the method, generalization and accuracy are improved through multi-domain fusion, multiple tasks are supported, and clinical and biological recognition scenes are adapted.

This invention belongs to the field of infant and toddler care technology and discloses an active intervention system and method for infant and toddler sleep apnea. Through a dedicated algorithm and adaptive acquisition components, it accurately collects sleep audio, physiological parameters, and environmental information, and performs semantic annotation and feature association on various types of data to establish dedicated semantic correspondence rules. Simultaneously, it ensures the temporal consistency of different types of data, transforming unstructured raw data into structured semantically related data. Based on the apnea risk level and specific triggers obtained from semantic parsing, it designs differentiated, graded intervention strategies to carry out targeted active intervention operations for different triggers, replacing the traditional single alarm mode. Simultaneously, it collects real-time feedback data on the effects of intervention and dynamically adjusts intervention parameters and strategies based on feedback, making apnea intervention more targeted, improving the timeliness and effectiveness of intervention, and reducing the potential risk of infant and toddler sleep apnea.

A heat exchanger is disclosed for causing cryolysis of adipose tissue of a human tongue. The heat exchanger includes a body having cooling channels for circulating fluids therein. The body forms a contact surface that contacts a portion of the dorsal surface of the tongue and a portion of the base of the tongue. The heat exchanger includes a pair of side walls extending from the body and forming a pair of side contact surfaces that are dimensioned so that they contact the dorsal and lateral surfaces of the tongue in a manner so as to constrict the tongue when the contact surface is in contact with the tongue. A method of treatment for apnea using the heat exchanger and / or administering a chemical adipolysis formulation / vasoconstriction agent is also disclosed.

In general, the invention relates to pharmaceutical compositions comprising a norepinephrine reuptake inhibitor (NRI), muscarinic receptor antagonist, and carbonic anhydrase inhibitor and methods of treating Sleep Apnea comprising the administration of these pharmaceutical compositions.

The invention provides a computer-implemented method for controlling a dose titration of a medicament to be provided to a subject for treating obstructive sleep apnea. The method includes obtaining a dose level of a previous dose of the medicament, the previous dose having been provided to the subject and obtaining a medicament efficacy measure based on a response of the subject to the previous dose. A dose titration for a future dose of the medicament is determined based on the medicament efficacy measure and the dose level of the previous dose.

This disclosure describes a system including a needle configured to percutaneously insert into skin and form a path for inserting a lead, the needle including a pointed distal end for percutaneously inserting the needle for placement near a hypoglossal nerve of a patient, and an elongated body comprising an inner lumen, wherein the elongated body defines one or more openings connecting an outer surface of the elongated body to the inner lumen. The lead may be configured to be disposed within the inner lumen of the elongated body and may include a shaft and one or more electrodes disposed on the shaft, configured to be placed near the hypoglossal nerve, and configured to stimulate the hypoglossal nerve for treating obstructive sleep apnea (OSA), wherein locations of the one or more electrodes on the shaft at least partially correspond to the one or more openings of the needle.

The invention discloses a sleep apnea detection system based on a millimeter wave radar, which realizes non-contact sleep apnea detection by constructing a millimeter wave radar signal acquisition and processing link, and avoids the problems of equipment complexity, wearing discomfort, sleep interference, high cost and the like caused by traditional sensor contact detection. And the detection convenience, accuracy and family applicability are improved. According to a hardware level, a one-transmitting four-receiving millimeter wave radar sensor is used for collecting human chest micro-motion signals, a microcontroller is combined to construct a hardware core, and a special amplifying and filtering circuit is used for carrying out low-noise amplification and filtering processing on echo signals; according to a software level, a variational mode decomposition (VMD) algorithm is adopted for signal separation, a sleep apnea event is effectively recognized in combination with heart rate variability (HRV) feature extraction and a machine learning classification model, a low-power-consumption and portable system is achieved through hardware miniaturization design, and the system is suitable for long-term monitoring and early warning in a family environment.

This product is a lip piece for nasal breathing during sleep. Traditionally, mouthpieces are worn between the upper and lower teeth inside the mouth, but this lip piece is placed between the upper and lower gums and lips, covering the entire lip, and has a slightly elongated ring shape. It utilizes the principle that even ordinary people can achieve nasal and diaphragmatic breathing by opening their mouths wide like singers. One piece can be fitted to set two sizes, slightly elongated vertically and slightly horizontally. This allows for adjustments to the size of the person's mouth and jaw closure, adjustment of the amount of air, and multi-purpose use such as daytime fitting practice or nighttime sleep use. The material is synthetic resin, and you can choose between a harder (plastic) and a softer (elastomer) version. When this product is worn on the lips, the larynx opens, ensuring an open airway during sleep, allowing for smooth nasal breathing, and preventing snoring and sleep apnea. Furthermore, since it prevents mouth breathing even when the mouth is open, it can prevent various problems associated with mouth breathing. It can be used by a wide range of ages, from infants with underdeveloped lower jaws who grind their teeth, to adults with teeth clenching, dry mouth, temporomandibular joint disorders, and elderly people at risk of aspiration, and is harmless. Once the discomfort of wearing it is overcome, it promotes restful sleep with light and safe nasal breathing. Other benefits include improved blood flow to the muscles around the mouth, while at the same time creating a slight tension in the lips, which is good for blood flow to the brain. The lips relax and the salivary glands work, so saliva is produced, but the structure prevents saliva from spilling out of the mouth. The base of the tongue is more easily moved forward, so the epiglottis (the lid for swallowing) moves. It is also expected to help prevent silent aspiration pneumonia.

A system for detecting and identifying sleep apnea, such as obstructive sleep apnea, that includes a non-contact patient monitoring system and a pulse oximetry system. The methods utilize respiratory parameters (e.g., respiration rate, respiration volume) from the non-contact patient monitoring system to determine a significant reduction in or absence of the patient's respiration. The methods also utilize cardiological information (e.g., pulse) from a pulse oximetry system to determine intrathoracic pressure increases from various modulations of the PPG signal during the patient's respiration cycle.

The present invention relates to a plug and socket set for use in a mandibular advancement splint in the treatment of snoring or sleep apnoea, the plug having a head for engagement with a mandibular abutment and the head having two prongs projecting therefrom, the socket having a substantially blind aperture configured to receive the two prongs with at least one clearance, and a crosspiece that spans the aperture for an interengagement with the two prongs, wherein the two prongs can interengage with the crosspiece to form a snap fit connection whereby a first surface and a second surface are substantially sealably mated with one another.

Methods and compositions for the treatment of conditions associated with pharyngeal airway muscle collapse while the subject is in a non-fully conscious state, e.g., sleep apnea and snoring, comprising administration of (i) a norepinephrine reuptake inhibitor (NRI) and (ii) a non myorelaxing hypnotic and / or 5-HT2A inverse agonist or antagonist.

1. Name of the product in this design: Sleep Aspirin. 2. Purpose of this design: This design is intended for non-invasive ventilation treatment in professional medical institutions or at home for adult patients with sleep apnea, hypoventilation syndrome, or severe snoring. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention provides a multi-view face image processing system, and relates to the technical field of image processing. The system comprises an image acquisition module used for shooting a front side face image, a first mouth image and a second mouth image; the preprocessing module is used for performing normalization and illumination enhancement on the multi-view face image; the feature quantitative calculation module is used for generating geometric features such as mandibular bones, tongue space ratio, neck-to-face ratio, facial geometric contour and eyelid texture based on the processed front and side face and first mouth image; the deep learning reasoning module is used for generating semantic features such as hard palate form probability distribution, tonsil grading, occlusal relationship and nose wing form based on the processed side face image, the first mouth image and the second mouth image; and the multi-modal feature fusion module is used for carrying out weighted fusion and nonlinear mapping on the geometric and semantic features and the physiological parameters of the user to obtain a fusion feature map. According to the invention, sleep apnea prediction is carried out directly based on the fused feature map, and the prediction efficiency and prediction precision of sleep apnea are improved.

Systems and methods for determining effectiveness of semaglutide for a patient. One embodiment is a system for analyzing dosage effectiveness. The system is configured to receive health data for a population of patients, extract metrics for sex, sleep apnea, hypertension, and prescription history from the health data, and train a predictive model based on the metrics. The system is configured to identify a patient and a semaglutide dosage, and operate the predictive model to predict a likelihood of the semaglutide dosage accomplishing a selected amount of weight loss for the patient during a time period. In an event the likelihood is below a threshold, the system is configured to recommend that the dosage not be prescribed to the patient. In an event the likelihood is above the threshold, the system is configured to recommend that the dosage be prescribed to the patient.

A cyclic olefin derivative having an orexin 2 receptor (OX2R) agonistic activity. In particular, the present invention relates to a compound as represented by general formula (I), a stereoisomer thereof, a tautomer thereof, a pharmaceutically acceptable salt thereof, and pharmaceutically acceptable salts of the stereoisomer and tautomer. The present invention also relates to a pharmaceutical composition containing the compound, a preparation method therefor, and the use thereof as an orexin 2 receptor (OX2R) agonist for preventing or treating diseases related to the agonistic effect of an orexin 2 receptor (OX2R), such as narcolepsy, lethargy, sleep apnea, anesthesia recovery or respiratory inhibition improvement. Each substituent in general formula (I) is the same as that defined in the description.

Amethod for alleviating a symptom associated with obstructive sleep apnea (OSA), the method comprising administering to a subject in need thereof an effective amount of a pharmaceutical composition, which comprises: (a) a resveratrol compound and / or a curcumin compound; and (b) a pharmaceutically acceptable carrier.

Methods and compositions for the treatment of conditions associated with pharyngeal airway muscle collapse while the subject is in a non-fully conscious state, e.g., sleep apnea and snoring, comprising administration of (i) a norepinephrine reuptake inhibitor (NRI) and (ii) a non myorelaxing hypnotic and / or 5-HT2A inverse agonist or antagonist.

This utility model relates to the technical field of sleep apnea treatment equipment, and discloses a flexible tube switching ventilator mask and sleep apnea treatment equipment. The first end of the bent tube is provided with a first socket fastening connector, and the first end of the flexible tube is provided with a second socket fastening connector, the first and second socket fastening connectors having the same structure. The second end of the flexible tube is provided with a first sleeve fastening connector, and the pipe connector is provided with a second sleeve fastening connector, the first and second sleeve fastening connectors having the same structure. The first socket fastening connector of the bent tube and the first sleeve fastening connector of the flexible tube are matched and fastened together to achieve the connection between the bent tube and the flexible tube; the second socket fastening connector of the flexible tube and the second sleeve fastening connector of the pipe connector are matched and fastened together to achieve the connection between the flexible tube and the pipe connector; or the first socket fastening connector of the bent tube and the second sleeve fastening connector of the pipe connector are matched and fastened together to achieve the connection between the bent tube and the pipe connector.

The present invention provides a composition, a method of making the composition, and a method of using such composition for facilitating prevention of snoring and sleep apnea. The disclosed composition includes at least one active ingredient selected from Magnesium BHB, Calcium BHB, Sodium BHB, or 5-Hydroxytryptophan. According to an exemplary embodiment of the present invention, Silentium, which comprises one of the disclosed compositions, stops snoring and cures sleep apnea. The composition may be prepared by first adding and blending Magnesium BHB, then Calcium BHB, then Sodium BHB, and lastly, 5-Hydroxytryptophan. The composition may be taken orally in the form of a capsule or in the form of a solution.