90 results about "Obstructive sleep apnea" patented technology

The invention relates to the technical field of sleep respiratory disease analysis, and discloses a method for analyzing obstructive sleep apnea. The method comprises the following steps: acquiring an original physiological signal flow which is output by a multi-channel sleep monitoring device and comprises a respiratory waveform, blood oxygen fluctuation, an electrocardio rhythm and a sound vibration signal; and then, carrying out adaptive window function segmentation and multi-resolution conversion on the original signal flow to generate a standardized multi-modal signal sequence. State decoding is carried out on the sequence through a hidden Markov model, and steady state physiological mode features and transient abnormal mode features are extracted. And fusing the steady state features and clinical archive data of the patient, calculating an apnea risk index, and forming an initial evaluation report. Meanwhile, a dynamic evolution path of transient abnormal mode characteristics is monitored, and a real-time pathology indicator in the signal is detected. And finally, a risk weight coefficient in the initial evaluation report is adjusted according to the real-time pathology indicator, and a more accurate optimization evaluation report is generated.

The present application relates to novel substituted heterocyclic carboxamides, to processes for their preparation, to their use alone or in combinations for the treatment and / or prevention of diseases and to their use for producing medicaments for the treatment and / or prevention of diseases, in particular for the treatment and / or prevention of breathing difficulties including sleep-induced breathing difficulties such as central and obstructive sleep apnoea, snoring (primary and obstructive snoring), dysphagia, peripheral and cardiac vascular disorders including diabetic microangiopathies and disorders of the peripheral and central nervous system including neurodegenerative and neuroinflammatory disorders.

The invention discloses an obstructive sleep apnea event typing method and device based on respiratory center driving characteristics, electronic equipment and a computer readable storage medium, and belongs to the technical field of medical detection technologies and sleep medicine. According to the method, body surface diaphragm electromyographic signals and respiratory airflow signals of a subject are synchronously collected in a non-invasive mode, the body surface diaphragm electromyographic signals are preprocessed to obtain diaphragm electromyographic characteristic values, and the respiratory airflow signals are segmented and subjected to integral processing according to the respiratory cycle to obtain airflow characteristic values; selecting a characteristic value corresponding to at least one respiratory cycle before the event occurs as a reference baseline, calculating a diaphragm myoelectricity change value and an airflow change value of each respiratory cycle in the event relative to the reference baseline, and calculating the diaphragm myoelectricity change value based on a coupling relationship between the airflow change value and the diaphragm myoelectricity change value, and performing central drive dependent or non-central drive dependent judgment on the obstructive sleep apnea event. The method can provide technical support for typing analysis of the obstructive sleep apnea event.

The invention discloses an obstructive sleep breathing state detection method based on joint denoising, and the method comprises the steps: firstly carrying out the preprocessing of an input original ECG signal, obtaining a standardized feature matrix, and completing the data set division; secondly, a hybrid model based on enhanced DenseNet-Transformer is used for carrying out deep feature learning and classification processing on the extracted feature matrix; and finally, performing forward reasoning on the ECG signal to be detected through the trained model, and outputting a detection result. According to the method, the technical problems that an existing OSA detection method depends on a fixed parameter filter, and noise and effective physiological signals are difficult to distinguish are effectively solved, and accurate and efficient obstructive sleep breathing state detection is carried out.

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.

The invention discloses an obstructive sleep apnea detection method based on multi-modal lightweight transformation, and the method comprises the following steps: data acquisition and preprocessing: obtaining an original audio signal, and carrying out the standardization processing and clinical baseline data preprocessing of the original audio signal; audio feature extraction based on MiniRocket: using random convolution kernel transformation to replace a traditional deep convolutional neural network, realizing efficient time sequence feature extraction of audio signals, and obtaining an audio feature vector; the method comprises the following steps of: extracting clinical semantic features based on BioBERT: enhancing the understanding of a pre-training language model on specific patient data by using general medical knowledge contained in the pre-training language model to obtain a text feature vector; and multi-modal feature fusion and classification judgment: fusing the obtained audio feature vector and the obtained text feature vector in a feature splicing mode, and then carrying out classification judgment through a ridge regression classifier (RidgeClassifier).

The application relates to the field of biotechnology and health informatics, and particularly discloses a microorganism marker combination for detecting obstructive sleep apnea of children and application thereof. The microorganism marker combination comprises the following nine microorganism genera: g__Streptococcus, g__Solobacterium, g__Schaalia, g__Capnocytophaga, g__Stomatobaculum, g__Mogibacterium, g__Clostridia_UCG-014, g__Selenomonas and g__Pseudoleptotrichia. By detecting the relative abundance of the above microorganism genera in a saliva sample of a child, a classification model is constructed by using a random forest algorithm, non-invasive and objective screening of OSA of the child is realized, and the application has high accuracy and clinical application value.

This invention discloses the application of reagents for detecting biomarker levels in the preparation of products for identifying obstructive sleep apnea. It relates to the field of biomarker technology and aims to overcome the shortcomings of existing technologies that rely on complex polysomnography (PSG) procedures, poor patient compliance, and a lack of effective molecular markers. The biomarkers used in this application consist of CD36 glycoprotein, 9-octadecenal, and protocatechuic acid 3-O-sulfate. This invention enables rapid and objective identification of obstructive sleep apnea by detecting the levels of the above biomarkers in plasma. The procedure is simple and well-accepted by patients. The combined use of multiple biomarkers can improve the accuracy and stability of the identification, making it suitable for screening or auxiliary diagnosis in medical institutions at different levels.

According to an aspect, there is provided an apparatus (100) for assessing sleep of a subject, the apparatus comprising a processor (102) configured to: receive data indicative of one or more physiological parameters associated with a subject; determine, based on the data, two or more sleep parameters relating to sleep of the subject; and determine, based on the sleep parameters, whether the subject is suffering from (a) obstructive sleep apnoea, (b) insomnia, (c) comorbid insomnia and obstructive sleep apnoea, or (d) neither obstructive sleep apnoea nor insomnia, wherein a first sleep parameter of the two or more sleep parameters comprises Wakefulness After Sleep Onset for at least X Minutes, WASOXmin, wherein WASOXmin comprises the sum of awakenings with a duration of X minutes or longer during a sleep session, wherein X is equal to, or greater than, 1.

This method for classifying obstructive sleep apnea by using multimodal data comprises the steps of: receiving, by an analysis device, inputs of multimodal data of a subject; inputting, by the analysis device, the multimodal data into a trained learning model; and classifying, by the analysis device, whether the subject has obstructive sleep apnea, on the basis of a value output by the learning model. The multimodal data includes facial images, head X-ray images, and clinical data.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for anatomical feature-based medical predictions. One of the methods includes capturing a set of images depicting at least a portion of a subject body. The set of images are processed to extract a subset of images that satisfy one or more feature thresholds, such as thresholds related to anatomical pose or image quality. One or more target anatomical structures, such as craniofacial or oral cavity structures, are detected within the subset of images. One or more anatomical features are generated for the target anatomical structures, for instance, by fitting a three-dimensional model to the structures and computing geometric metrics. Using the generated anatomical features and stored medical data, a prediction is generated indicating a likelihood of a medical condition, such as obstructive sleep apnea or a comorbid condition, which can be transmitted to a device.

The application discloses a CBCT-based child obstructive sleep apnea syndrome identification system and relates to the technical field of medical networks, and comprises the following steps: acquiring a CBCT image and physiological characteristic parameters of a child, performing airway segmentation and reconstructing an airway surface model; establishing an airway respiratory flow field based on the model, setting boundary conditions for simulation, extracting dynamic characteristics to construct first discriminant characteristics; inputting the first discriminant characteristics into a classification model to determine whether the first discriminant characteristics are in a fuzzy discriminant interval; if the first discriminant characteristics are not in the interval, directly outputting an obstructive sleep apnea syndrome type; if the first discriminant characteristics are in the interval, extracting airway cross-section structure information, fusing the first discriminant characteristics to obtain second discriminant characteristics; and matching the characteristics with preset rules to determine whether to adopt enhanced classification or structure registration for secondary discrimination, finally outputting a child apnea syndrome type, and improving the reliability and accuracy of the final diagnosis result.

The invention provides an obstructive sleep apnea detection method, system and device and a storage medium, and relates to the technical field of signal processing, and the method comprises the steps: obtaining pressure signals detected by at least two bed-mounted pressure sensors in a human body sleep state, and the crowd type characteristics and the pre-sleep activity characteristics of a to-be-detected person; performing quality evaluation on each path of pressure signal, and determining a target pressure signal based on a quality evaluation result; preprocessing the target pressure signal, and performing time domain and frequency domain feature extraction on the preprocessed target pressure signal; and inputting the extracted multi-dimensional features, the crowd type features of the to-be-detected person and the pre-sleep activity features into a pre-trained machine learning model to obtain a classification result of whether the to-be-detected person suffers from obstructive sleep apnea. According to the method and the device, under the condition that PSG equipment is not used, accurate detection of the OSA is realized.

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.

Devices for treating obstructive sleep apnea include appliances for securing to one or more teeth of a patient and connected to a lingual bridge configured to change shape and apply pressure to a patient's tongue, preventing backward movement of the tongue and blockage of the patient's airway. The lingual bridge is composed of a shape memory alloy to allow the bridge to change shape once deployed in a patient's oral cavity and exposed to increased temperature in the patient's mouth. Pulse generators and electrodes are included to electrically stimulate the nerves and muscles of the tongue to assist in keeping the tongue from moving backward in the mouth during sleep.

Embodiments detect obstructive sleep apnea (“OSA”) by a user. Embodiments receive audio data emanating from the user while the user is sleeping, the audio data including multiple distinct frequency bands. Embodiments analyze the audio data to detect patterns in frequency content that matches two or more formants of a plurality of formants, the two or more formants indicating a position of a tongue of the user. Based on the analyzing, embodiments determine when the tongue has moved from a forward position to a rear position in an oral cavity of the user. Embodiments generate a signal indicating an OSA episode when it is determined that the tongue has moved from a forward position to a rear position.

The present disclosure relates to a method and system for acquiring and analyzing physiological signals of a subject to detect the risk or occurrence of stroke or cerebral infarction. A wearable wireless device may be used with one or more electrode clusters to record physiological signals during a sleep-wake cycle. The physiological signal may be utilized to perform sleep and wakefulness analysis. In some examples, physiological signals corresponding to each hemisphere of the brain may be compared, e.g., using coherence, to quantify asymmetry across the hemispheres and identify possible stroke, asymptomatic cerebral infarction (SBI), or aneurysm. Biomarkers may be extracted based on sleep and wakefulness analysis as well as coherence. Biomarkers may include an indication of obstructive sleep apnea or apnea risk, a reduction in slow wave sleep duration, or the presence of SBI or aneurysm. A stroke risk score may be generated from the biomarkers using a predictive model for the early detection of individuals that are potentially at risk of stroke.

The invention relates to the technical field of sleep detection, and discloses a detection system for obstructive sleep apnea syndrome. The system comprises a signal acquisition and enhancement module, a signal segmentation and quality evaluation module, a feature extraction and matching module, a graph structure analysis module and a risk index generation and early warning module. The signal acquisition and enhancement module acquires and enhances a multi-source physiological signal to generate an enhanced signal sequence; the signal segmentation and quality evaluation module adaptively segments the signal to screen out high-quality signal segments; a feature extraction and matching module extracts multi-dimensional feature vectors from the feature extraction and matching module, and the multi-dimensional feature vectors are matched with a standard feature database to obtain a feature difference matrix; the graph structure analysis module deduces the feature node association degree; and the risk module integrates the data, generates a risk index and decides early warning output. The system accurately captures disease characteristics, reduces missed diagnosis and misdiagnosis rates, is suitable for home and large-scale screening, and provides reliable reference for clinical diagnosis.

An oral appliance (OA) made as add-on optional feature in a denture of a user with or without implants to facilitate adjustable mandibular advancement assisting in partially or fully reducing snoring and thus ameliorating obstructive sleep apnea (OSA). The mandibular advancement is realized by deployment of pins in the denture set, and a set of straps that may have optional features such as recess, reinforcement, and the OA may be made of bio-compatible materials using several manufacturing approaches including 3D printing, molding, or milling. An optional additional process comprises of economical production of a similar or alternatively simpler, lighter secondary unit that may be offered to a patient ordering a primary denture, at a discounted price that may serve the purpose of cosmetic function as well as anti-snoring function.

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.

One aspect of the present disclosure relates to a system for treating obstructive sleep apnea in a subject. The system can include a power source and a neuromuscular stimulator in electrical communications with the power source. The neuromuscular stimulator can include a controller and at least one electrode. The controller can be configured to receive certain power and stimulation parameters associated with a therapy signal from the power source. The at least one electrode can be configured to deliver the therapy signal to a target tissue associated with control of a posterior base of the tongue of the subject.

The invention relates to the field of medicines, and discloses a pharmaceutical composition for treating obstructive sleep apnea as well as a preparation method and application thereof. The pharmaceutical composition comprises a ternary co-amorphous compound containing zinc ions, and raw materials of the ternary co-amorphous compound comprise suthiamethoxam, L-arginine, a divalent zinc ion donor and a surface stabilizer. Wherein zinc ions form a cross-linked network with the suthiamethoxam and the L-arginine through coordination, so that drug lattices are destroyed, and molecular movement is limited. According to the preparation method, a liquid-assisted high-energy mechanical ball milling process is adopted, a trace amount of coordination catalytic liquid is added to reduce a solid-phase reaction energy barrier, and efficient conversion from a crystalline state to an amorphous state is realized. Through the synergistic effect of multiple components, the saturation solubility and the dissolution rate of the suthiamethoxam are remarkably improved, meanwhile, the coordination crosslinking of zinc ions and the steric hindrance effect of the surface stabilizer are utilized, crystal transformation of an amorphous system is effectively inhibited, and the physical stability and oral bioavailability of the medicine are enhanced.

Polymorphic forms of (R)-oxybutynin HCl, including three crystalline forms, are prepared and characterized. Uses of the various polymorphic forms of (R)-oxybutynin HCl for Obstructive Sleep Apnea (OSA) treatment are also disclosed.

The present application relates to novel substituted heterocyclic carboxamides, methods of their preparation, their use alone or in combination for the treatment and / or prevention of diseases and their use for the manufacture of a medicament for the treatment and / or prevention of diseases, in particular for the treatment and / or prevention of respiratory distress, including sleep-induced respiratory distress, such as central and obstructive sleep apnea, snoring (primary and obstructive snoring); dysphagia; peripheral and cardiovascular disorders, including diabetic microangiopathy; and peripheral and central nervous system disorders, including neurodegenerative and neuroinflammatory disorders.

The present disclosure relates to a device (100) for the treatment and / or prevention and / or testing of bruxism, which is designed to be placed in the oral cavity, preferably between the upper and lower jaws, of a user. The device comprises: an upper support element (102) designed to make contact with a portion of the upper jaw other than an upper occlusal surface; a lower support element (104) designed to make contact with a portion of the lower jaw other than a lower occlusal surface; and a spacer (106) connecting the upper support element and the lower support element. A substantial portion of the oral cavity between the lower jaw (112) and upper jaw (110) is kept free of material from the device, and the exertion of a contact force on the upper and / or lower occlusal surface is substantially reduced or prevented.Alternatively or additionally, the device is designed to hold the tongue, whereby the tongue holder prevents the tongue from falling back and the device from falling out.

The present application relates to novel substituted heterocyclic carboxamides, to a method for the production thereof, to the use thereof alone or in combination for the treatment and / or prophylaxis of diseases and to the use thereof for producing medicaments for the treatment and / or prophylaxis of diseases, in particular for the treatment and / or prophylaxis of dyspnea, including sleep-induced dyspnea, including sleep-induced dyspnea, including sleep-induced dyspnea. Such as central and obstructive sleep apnea, snoring (primary and obstructive snoring); dysphagia; peripheral and cardiovascular conditions, including diabetic microangiopathy; and peripheral and central nervous system disorders, including neurodegenerative and neuroinflammatory disorders.