113 results about "Sleep disordered breathing" patented technology

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

The invention relates to the technical field of medical instruments, in particular to a sleep monitoring system based on a non-invasive brain oxygen saturation monitor, which comprises a monitoring system and is used for synchronously and dynamically monitoring local brain oxygen in real time, and the monitoring system comprises a non-invasive brain oxygen dynamic monitoring unit used for monitoring the brain blood oxygen saturation of a patient in real time by adopting a near infrared spectrum technology; the multi-parameter synchronous analysis unit is used for integrating the brain oxygen data, the electroencephalogram signals, the cerebral blood flow data and the respiratory event indexes; the intelligent risk assessment engine analyzes a brain oxygen change rule based on a deep learning algorithm, and predicts a brain function impairment risk caused by sleep breathing disorder; in the intelligent risk assessment engine, on the basis of a space-time convolutional neural network, brain oxygen time sequence data and spatial distribution characteristics are combined, and a brain hypoxia mode of the OSA patient is recognized; the method has the characteristic of realizing early warning of the brain injury related to sleep breathing disorder through noninvasive brain oxygen monitoring, multi-parameter fusion analysis and intelligent risk assessment.

The present invention relates to a system and method for the enhanced detection and quantification of respiratory events, such as apneas and hypopneas, particularly useful in diagnosing and managing sleep-disordered breathing conditions. This system integrates sophisticated machine learning algorithms, specifically one-dimensional convolutional neural networks (1D CNNs), with advanced signal processing techniques to analyze physiological signals. It focuses on the detecting respiratory event with a localized portion of the input segment, a novel approach that increases specificity in event detection. The system segments physiological signals into overlapping segments, each analyzed by the machine learning model to generate a prediction score. A unique aspect of this invention is the application of a dual-threshold mechanism: a ‘Model threshold’ for initial event identification and a ‘Vote threshold’ for confirming events through an aggregate voting process of overlapping segment predictions. This innovative approach ensures high accuracy and reliability in event detection and counting.

Devices and / or methods for treating sleep disordered breathing may include stimulation of a single nerve, multiple nerves, as well as other tissues relating to upper airway patency.

The present invention discloses a sleep apnea monitoring method, comprising: acquiring EEG signals, EOG signals, and photoplethysmography signals; automatically staging sleep and calculating sleep duration based on the EEG and EOG signals; counting apnea and hypopnea events based on the photoplethysmography signals; and calculating the AHI index based on the calculated sleep duration (ST) and the number of apnea and hypopnea events (BSN). Furthermore, a corresponding head-mounted sleep apnea monitoring system and electronic device are also disclosed. The present invention enables real-time and accurate sleep staging and apnea diagnosis.

Methods and apparatus provide monitoring of a sleep disordered breathing state of a person such as for screening. One or more sensors may be configured for non-contact active and / or passive sensing. The processor(s) (7304, 7006) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and / or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of sleep disordered breathing. The processor may generate a sleep disordered breathing indicator based on the measure(s) of sleep disordered breathing. Some versions may evaluate sensing signal(s) to generate indication(s) of cough event(s) and / or cough type.

The invention discloses a non-contact vital sign monitoring system and method based on a mechanical programmable metasurface, and belongs to the technical field of intelligent medical monitoring. According to the system, 360-degree continuous phase regulation and control are achieved through the mechanical programmable metasurface, the three-dimensional dynamic beam focusing technology and the improved variational mode decomposition algorithm are combined, limb movement noise is effectively restrained, and high-precision multi-person non-contact respiration monitoring is achieved. The system adopts a modular detachable metasurface architecture, supports the fast reconstruction of wavefront coding, and can reduce the average error of respiratory rate monitoring of a human body in a double-arm swinging / walking state to 0.5 times / minute without continuous power supply. Experiments show that when the system is used for synchronously monitoring breathing signals of the motion state of two persons in a complex indoor environment, the signal-to-noise is improved by 14 dB or above compared with that of a traditional scheme, and the manufacturing cost is reduced by 77.5%. The method is suitable for the fields of intelligent old-age care, infectious disease isolation monitoring, sleep breathing disorder screening and the like, and the clinical requirements of medical privacy protection and long-term health monitoring are met.

A device includes at least one first element in operative relation to at least one target tissue from a set of target tissues to treat sleep disordered breathing, which may include obstructive sleep apnea. The operative relation may include sensing and / or stimulation. The at least one target tissue may comprise diaphragm-related tissue, respiratory tissue-related nerves, and / or upper airway patency-related tissue. Example tissue in the set of target tissues includes hypoglossal nerve, infrahyoid muscle (IHM)-innervating nerve, IHMs, glossopharyngeal nerve, an internal superior laryngeal (iSL) nerve, phrenic nerve, diaphragm, pudendal nerve, among other nerves and muscles. In some example, multiple target tissue may be selected for stimulation and / or sensing.

A method of sleep disordered breathing care using specific patient information for a first patient to determine a probability of a particular collapse pattern for an upper airway and / or a therapy outcome, and based on the determination, performing further evaluative procedures and / or implementing therapy.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

An oral appliance for the treatment of sleep disorder breathing in a patient has a U shaped appliance body with a front section and two arms. The appliance body has an inner wall and an outer wall, and a web interconnects the inner and outer walls forming an upper dental arch receiving channel. The front section of the body has an air inlet opening for taking in air during inhalation. The oral appliance also has an air outlet member with an air outlet and an air flow passageway connecting the air inlet opening with the air outlet.

A patient interface for delivering a flow of air at positive pressure relative to ambient air pressure to an entrance to the patient's airways to ameliorate sleep disordered breathing comprises a seal-forming structure to form a seal with a region of the patient's face surrounding an entrance to the patient's airways, a positioning and stabilising structure to provide a force to hold the seal-forming structure in a therapeutically effective position on the patient's head, and a connector assembly adapted to connect to an air circuit. The connector assembly comprises a loop member removably and releasably secured in an aperture of an attachment region of the patient interface and an elbow assembly connected to the air circuit and repeatedly connectable to and detachable from the loop member. The elbow assembly comprises an elbow member and a clip member. The clip member comprises a structure separate and distinct from the elbow member and is connected to the elbow member and releasably connects the elbow assembly to the loop member, the elbow member forming a seal with the loop member when the elbow assembly and loop member are connected to each other.

The present specification describes a system and method of detecting sleep disordered breathing, that includes acquiring a set of unconditioned sleep test data that includes oximetry data and at least one other physiological sensor data; sampling the set of unconditioned sleep test data; storing the sampled set of unconditioned sleep test data; receiving, through a display, an input indicative of a degree of analyzing to be applied to the sampled set of unconditioned sleep test data; based on said input, applying a corresponding degree of analyzing to the unprocessed sleep test data to generate processed sleep test data; and visually displaying the processed sleep test data.

A system for determining parameters for implantable devices that are designed to electrically stimulate the phrenic nerve to treat sleep disordered breathing is provided. The system may use techniques to automate the identification of the parameters that are needed for the recognition and classification of the input signals as well as their values. The system may use techniques for the optimization of the electrical stimulation therapy that is delivered by the implantable device.

The present specification is directed a method manufacturing a patient interface for treatment of sleep disordered breathing using air pressure by delivery of air to a patient's airway. The method includes locating a shell, a first sub section of a seal forming structure, and a first section of the seal forming structure in a tool. The first sub section includes a groove. The first section is constructed from a thermoformable material. The method further includes introducing a moulding material to the tool and overmolding the shell, the first sub section, and the first section. The moulded material forms a second sub section of the seal forming structure that connects the first sub section to the shell and fully encloses the first section within the groove.

A method includes receiving a sequence of video images of a child (26) in a bed (24) captured by an image sensor (74), and a stream of audio data captured, simultaneously with the capturing of the sequence of video images, by a microphone (88) placed in proximity to the child (26). The method further includes extracting first features from the video images relating to motion of the child (26), extracting second features from the audio data relating to sounds produced by the child (26), and correlating the first and second features to generate an indication of sleep-disordered breathing by the child (26). Other embodiments are also described.

A patient interface to deliver a flow of air at a positive pressure with respect to ambient air pressure to an entrance to the patient's airways to ameliorate sleep disordered breathing includes a frame assembly and a nasal pillows assembly configured to removably and repeatably connect to the frame assembly. The frame assembly and the nasal pillows assembly form at least part of a plenum chamber pressurizable to a therapeutic pressure. The nasal pillows assembly comprises a one-piece construction including a seal-forming structure configured to form a seal with a region of a patient's face surrounding the entrance to the patient's airways and a frame connection structure configured to removably and repeatably connect the nasal pillows assembly to the frame assembly. At least a portion of the nasal pillows assembly is configured to directly contact the superior or upper lip of the patient in use.

The application discloses a sleep apnea detection method and system based on transcutaneous carbon dioxide monitoring, and belongs to the technical field of sleep apnea detection. The application integrates a miniaturized transcutaneous carbon dioxide detection module composed of a flexible optical sensor and a multi-channel PPG, a bioimpedance sensor and an accelerometer; a heating module is controlled by a PID algorithm to realize constant temperature, so that non-invasive transcutaneous carbon dioxide detection is ensured; a multi-sensor data fusion system is built to realize synchronous acquisition of physiological parameters; a low-power embedded processing unit is adopted to realize real-time processing and monitoring of physiological multi-modal data. The application also cooperates with a machine learning model and combines TcCO2 fluctuation, SpO2 drop rate and respiratory interval variability to realize real-time identification and early warning of sleep apnea events. The application realizes highly integrated and long-lasting continuous monitoring of respiratory health, and effectively improves the home screening capability of sleep breathing disorders.

A method and system for determining a positional sleep disordered breathing (pSDB) status associated with a respiratory device user is disclosed. Airflow data associated with the user is received. The airflow data is analyzed to identify a first time period of suspected arousal and a second time period of suspected arousal. A first time section between the identified first time period and the identified second time period is determined. The airflow data associated with the determined first time section is analyzed to identify (i) an indication of one or more respiratory events and / or (ii) an indication of one or more therapy events. Based at least in part on the (i) identified indication of one or more respiratory events and / or (ii) identified indication of one or more therapy events, the pSDB status of the user is determined, where the pSDB status is indicative of whether or not the user has pSDB.

Embodiments disclosed herein relate to respiratory interfaces for use in treating various respiratory issues including, but not limited to, sleep disorder breathing (e.g. snoring, sleep apnea), and in other forms of assisted and unassisted respiration. Embodiments disclosed herein further relate to nasal prongs, flanges and valves for use with respiratory interfaces. Embodiments disclosed herein further relate to evaluating patient compliance with a respiratory interface and harvesting energy for the respiratory.

In certain example embodiments, an air delivery system includes a controllable flow generator operable to generate a supply of pressurized breathable gas to be provided to a patient for treatment and a pulse oximeter. In certain example embodiments, the pulse oximeter is configured to determine, for example, a measure of patient effort during a treatment period and provide a patient effort signal for input to control operation of the flow generator. Oximeter plethysmogram data may be used, for example, to determine estimated breath phase; sleep structure information; autonomic improvement in response to therapy; information relating to relative breathing effort, breathing frequency, and / or breathing phase; vasoconstrictive response, etc. Such data may be useful in diagnostic systems.

Devices and / or methods for treating sleep disordered breathing may include stimulation of a single nerve, multiple nerves, as well as other tissues relating to upper airway patency.

In certain example embodiments, a system and / or method of guiding transitions between therapy modes in connection with the treatment and / or diagnosis of a patient for a respiratory disorder is / are provided. Respiratory disorder treatment according to a first therapy mode is provided. Input indicating a second therapy mode to be transitioned to following provision of the first therapy mode is received, with the second therapy mode being different from the first therapy mode. At least one default treatment parameter suitable for the second therapy mode is assigned or calculated. Each default treatment parameter of the second therapy mode is presented, with each default treatment parameter being adjustable by an operator during the presenting. Transitioning from the first therapy mode to the second therapy mode is performed by providing respiratory disorder treatment in accordance with the second therapy mode and each default treatment parameter and any adjustments made thereto prior to the transitioning. Advantageously, the chances of a patient being disturbed by transitioning from mode-to-mode are reduced.

Methods and systems are provided to improve SDB in a patient suffering therefrom by delivering an electrical neuromodulation signal to at least a target site comprising an efferent fiber of the glossopharyngeal nerve that innervates pharyngeal constrictor muscles or the stylopharyngeus muscle. Methods include further delivering electrical neuromodulation signals to other sites including one or more combinations of the ansa cervicalis, the hypoglossal nerve, the palatoglossus muscle, and / or the palatopharyngeus muscle. The electrical neuromodulation signal delivered to efferent fibers of the glossopharyngeal nerve can be done independent of a detected sensory or input signal that measures the neuromuscular state of the patient's airway.

A device and / or method to provide sleep disordered breathing (SDB) care includes an implant-access incision and / or a sensing element.

Systems and methods for determining sleep disordered breathing parameters of a patient are disclosed, including receiving respiration information of the patient and temperature information of the patient, and determining sleep disordered breathing parameters of the patient using the received respiration information and temperature information of the patient.

At least some embodiments of the present disclosure are directed to systems and methods for sleep disordered breathing (e.g., obstructive sleep apnea) therapy. An electrode assembly includes a cuff body to wrap around a nerve. The cuff body includes an inner layer to form a hollowed cylinder shape, and an outer layer to overlap at least a part of the inner layer and cover a closeable opening of the inner layer. Electrode elements are at least partially embedded within the inner layer and spaced apart from each other along a longitudinal direction. The electrode elements each include an arcuate portion facing a lumen of the inner layer. The electrode assembly has a cross-sectional shape that is substantially circular.

An apparatus includes an implantable stimulator to treat sleep disordered breathing (SDB) and at least one electrode associated with the stimulator. The apparatus may include a microstimulator including a housing to encapsulate at least stimulation circuitry and a control portion including a therapy manager to control the stimulation circuitry based on at least control information.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

The present invention provides a system and method for improving sleep apnea. **Solution**: The system and method include stimulating the activation of the hypoglossal nerve sheath that innervates one or more infrahyoid muscles by inducing the delivery of a stimulatory neuromodulation signal to the hypoglossal nerve sheath. By delivering an inhibitory neuromodulation signal to the hypoglossal nerve sheath, it is possible to block the activation of the efferent fibers that innervate one or more suprahyoid muscles. The inhibitory neuromodulation signal can reduce the undesired retrograde efferent activation of one or more suprahyoid muscles.