41 results about "Sleep disordered breathing" patented technology

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.

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.

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.

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.

This invention provides a bed-mounted sleep breathing state monitoring system and method. It collects bed-mounted pressure signals generated during the user's sleep process using an under-bed pressure sensor module. Based on these signals, it determines the start and end times of candidate sleep breathing abnormalities. The bed-mounted pressure signals from the start to the end time are then input into a pre-set deep neural network for feature extraction and classification, ultimately determining whether a sleep breathing abnormality event exists. This method accurately captures the complete temporal features of sleep breathing abnormalities without relying on fixed time window segmentation, effectively avoiding issues such as event truncation and feature aliasing. It achieves adaptive localization and automated detection of sleep breathing abnormalities, significantly improving the accuracy and completeness of sleep breathing abnormality event identification and reducing the risk of missed or false detections.

A system and method for treating sleep disordered breathing is disclosed, wherein positional therapy is delivered via a flexible head contacting structure such as a pillow, pillowcase, or pillow insert. The system includes at least one temperature control arrangement responsive to acquired condition data, such as physiological and position data, to detect a target condition associated with sleep disordered breathing. Upon detection, the system instigates a temperature-based treatment to guide the user to change sleeping position as therapy. Sensors and stimulus actuators may be integrated within the pillow or pillowcase to monitor user condition and deliver adaptive stimulus, with the control system adjusting treatment parameters based on user response. Methods for monitoring, determining target conditions, and adaptively delivering positional therapy are also described.

A method of treating sleep disordered breathing (SDB) includes selectively operating a first implantable medical device (IMD) in relation to a first target tissue and / or selectively operating a second implantable medical device (IMD) in relation to a second target tissue. A device comprising a first implantable medical device (IMD) arranged in relation to a first target tissue and configured to be selectively operated; and / or a second IMD arranged in relation to a second target tissue and configured to be selectively operation; the device comprising a control portion configured to: selectively operate the first IMD relative to at least one of the first target tissue or the second target tissue; or selectively operate of the second IMD relative to at least one of the first target tissue or the second target tissue.

A neuromodulation system is provided herein. The system can include a neuromodulation device, an electronics package, which can be part of the neuromodulation device; an external controller; a sensor; and a computing device. The neuromodulation device can include a neuromodulation lead having a lead body configured to be bent to a desired shape and to maintain that shape in order to position the electrodes relative to neural and / or muscular structures when fully deployed. The neuromodulation device can also include an antenna including an upper and a lower coil electrically connected to each other in parallel. The computing device can execute a closed-loop algorithm based on physiological sensed data relating to sleep.

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.

The invention discloses an execution control ability training method and system for children suffering from sleep breathing disorder with cognitive disorder. The training method comprises the steps that an initial difficulty level is acquired, initial parameter configuration is carried out, and a gamification training task is formed; displaying the gamification training task, and recording the answer result of the user to each task test; dynamically adjusting a current task parameter based on a real-time answering result of the user; dynamically switching the current selection rule based on the current task parameter and a preset rule switching logic; wherein the selection rules at least include that the character meaning is the same as the color of the stimulant, the character color is the same as the color of the stimulant, and the physical color of the option is the same as the color of the stimulant; immediate feedback is provided for the user in the task training process of the user; and after the user completes the training, a training result is displayed to the user. The method not only can train the suppression control ability of the user, but also can train the cognitive flexibility of the user based on a multi-rule dynamic switching mechanism.

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.

The invention provides a system and method for improving sleep breathing disorder based on nerve stimulation, and belongs to the technical field of medical treatment. Comprising a mask for collecting nasopharyngeal airflow, snore and vibration signals; the nerve stimulation module is used for stimulating hypoglossal nerves and phrenic nerves through electric pulses; the fixed flow positive pressure support module is used for providing continuous positive airway pressure ventilation; the multi-source data acquisition module is used for acquiring respiratory movement amplitude data and blood oxygen saturation data; the control unit module comprises a data processing core and a double-closed-loop controller; the data processing core is used for identifying a respiratory event type based on an LSTM model and establishing a stimulation-ventilation response relation matrix; the double-closed-loop controller is used for adjusting the stimulation intensity of the nerve stimulation module in real time. By dynamically adjusting parameters, reducing sequential control errors and realizing multi-signal synchronization, the limitation of single nerve stimulation is effectively solved, and the accuracy and effectiveness of intervention are ensured.

A system and method for treating sleep disordered breathing is disclosed, wherein positional therapy is delivered through a flexible body contacting structure such as a mattress topper, mattress cover, or wearable device. The system comprises at least one sensor for monitoring condition data relating to the user, and at least one stimulus control arrangement for providing a stimulus to guide the user to change position during sleep. The stimulus control arrangement is responsive to a detected target condition associated with sleep disordered breathing, and may include temperature-based, audio, visual, or tactile stimulus. The system and further includes a control system configured to adaptively adjust stimulus parameters based on the user's response. Methods for monitoring user condition and delivering adaptive positional therapy are also described.

A device that may include, or communicate with, sensors such as an electrocardiogram (ECG) sensor, an accelerometer, and / or a photoplethysmograph (PPG) detects sleep-disordered breathing (SDB) events of a patient based on signals from the sensors. The device may have a processor configured to make the detection(s). In an example, the processor may access a memory with processor control instructions. The instructions may be adapted to configure the processor to carry out the detection methodology. The method may include analysing an ECG data of the patient from a signal generated by the ECG sensor, pulse oximetry data of the patient from a signal generated by the PPG, and a three-dimensional (3D) accelerometry data of the patient from a signal generated by the accelerometer to detect the SDB events. The device and methods may be used for screening, diagnosis and monitoring of respiratory disorders.

Methods and systems for treating sleep disordered breathing and assessing and improving efficacy of treatment of sleep disordered breathing re disclosed herein. According to some embodiments, the present technology includes a method of treating sleep disordered breathing with a neuromodulation system at least partially implanted in a patient having an airway compromised by an obstruction. The method includes delivering stimulation energy to a target nerve in the patient using an electrode of the neuromodulation system, wherein the target nerve is associated with patency of the airway, receiving sensor data from a sensor arrangement of the neuromodulation system, wherein the sensor data is indicative of airflow in the airway proximal to the obstruction, and assessing efficacy of the stimulation energy based at least in part on the received sensor data.

The invention relates to the technical field of voice processing and image recognition, and discloses a target detection-based automatic detection method for snore and apnea events in a human sleep process, which comprises the following steps of: collecting continuous audio data of a sleep scene of a patient; performing de-noising processing on the collected original audio data by using Fourier transform to obtain an effective audio number; dividing the audio data by using the sliding windows, and obtaining the audio data of each sliding window; processing the audio data of each sliding window by using an enhancement algorithm, and improving the amplitude of the audio data in a specific frequency range; converting the enhanced signal into an amplitude oscillogram; training a target detection YOLO model added with a context anchor attention mechanism by using the amplitude oscillogram data set; the model can detect snoring or apnea events and count the number of times, frequency and duration of the events. According to the invention, the sleep breathing disorder condition of the human body can be detected in real time with high precision.

This posterior neck supporter 100 makes it possible to sleep in a state in which an airway is secured even in a supine position. An approximately rectangular sheet member 10 has a plurality of air sealing parts 11 that are formed along the longitudinal direction thereof and formed at intervals in the lateral direction. The sheet member 10 is wound in the lateral direction to form a columnar shape.

A first sensing element including an accelerometer-based sensor for sleep disordered breathing (SDB) care.

Method and apparatus for the non-invasive detection of certain breathing conditions, certain sleep disordered breathing conditions, or assessment of the person's myocardial contractility and its dynamic changes, comprising steps of: determining the sleep or wake status of a person, monitoring circulatory pulse waveforms and amplitude normalized pulse wave systolic upstrokes recorded from a person's body and determining at least one index of the upstroke to characterize the strength of the contraction of the heart during the systolic upstroke during a series of heart beats relating to a breathing cycle or an absent anticipated breathing cycle of the patient, and determining that a certain change in a breathing condition, a sleep disordered breathing condition, or assessment of the person's myocardial contractility and its dynamic changes, has occurred when a specific change in the sleep disordered breathing analysis, and the at least one index of the upstroke has been detected.

Embodiments of the present disclosure may include a sleep monitoring framework for detecting sleep stages and Sleep-Disordered Breathing (SDB), including an acoustic signal acquisition unit configured to collect raw acoustic signals from a subject, including respiration and heartbeat signals.

This invention discloses a method for analyzing the physical characteristics of an individual, the method comprising: receiving data generated by one or more sensors of a handheld device, the data indicating structural features of the individual's head, neck, or both; generating a structural profile of the individual's head, neck, or both based at least in part on the data; determining, in response to generating the structural profile, risk factors for the individual to have sleep-disordered breathing, to develop sleep-disordered breathing, or both; and generating recommendations for the individual for a treatment type based at least in part on the structural profile, wherein the recommendations for the treatment type include recommendations for using a mandibular repositioning device, recommendations for using a respiratory therapy device, or both.

There is provided a computer-implemented method for determining a setting of a therapy device adapted to provide sleep disordered breathing (SDB) therapy to a subject. The method comprises receiving medication information representative of medication used by the subject. The method comprises determining trait information based on the medication information. The trait information is representative of an influence of the medication on a pathophysiological trait of the subject. The pathophysiological trait has an influence on the SDB of the subject. The method comprises determining the setting of the therapy device based on the trait information.

A system and method for treating sleep disordered breathing, wherein positional therapy is delivered through adaptive temperature regulation. The system includes one or more sensors configured to monitor user conditions such as body position, respiratory activity, and sleep quality. Upon detection of a target condition—such as snoring or sleep-disordered breathing in a supine position—the system initiates a control process to apply localised heating and / or cooling to specific regions of the user's body The system may operate in a closed-loop manner, receiving feedback from the sensors to determine the effectiveness of the treatment and adaptively adjusting temperature parameters such as intensity, duration, and location.

The invention discloses a sleep hypopnea type automatic discrimination method and system based on a multi-modal signal, and aims to solve the technical bottlenecks of strong subjectivity, poor consistency and limited single signal feature discrimination capability of the existing visual scoring method. The method comprises the following steps: collecting multi-modal signals in a polysleep pattern (PSG), wherein the multi-modal signals comprise nasal ventilation airflow, thoracico-abdominal breathing movement, blood oxygen saturation and other signals; extracting multi-dimensional features related to hypopnea typing, wherein the multi-dimensional features comprise an inspiration flow limited index, thoracico-abdominal movement coordination, an event termination mode, an awakening sequential relationship and a sleep stage associated feature; the features are fused and optimized based on a machine learning algorithm, a high-precision classification model is constructed, and automatic discrimination of obstructive and central hypoventilation is realized. According to the method, the key problems that a traditional method depends on manpower in hypopnea typing, feature utilization is not comprehensive, and judgment precision is insufficient are solved, and a reliable basis is provided for accurate diagnosis, typing and treatment strategy formulation of sleep breathing disorder.

The invention relates to a patient ventilation or breathing device and components therefore for use in all forms of respiratory apparatus ventilation systems including invasive and non-invasive ventilation, positive airway pressure therapy, Continuous Positive Airway Pressure (CPAP), and particularly Bi-Level therapy and treatment for sleep disordered breathing (SDB) conditions such as Obstructive Sleep Apnea (OSA), and for various other respiratory disorders and diseases. The invention particularly relates to a blower, to a blade, to a gasket, to a cable, to an impeller, to a gas inlet and inlet member, to an improved air path or fluid flow path and components thereof, and / or to a modular ventilation or breathing device as referred to above and particularly incorporating one or more of the other aspects of the invention.

Devices, systems, and methods for treating sleep apnea are disclosed herein. According to some embodiments, the present technology includes an implantable device comprising an electronics package and first and second elongate leads electrically coupled to the electronics package. Each of the first and second leads can comprise (a) a first conductive region configured to be implanted at a first treatment site at an under-chin region of the patient's head, where the first conductive region is configured to deliver a first electrical signal to the first treatment site to thereby activate the genioglossus muscle, and (b) a second conductive region configured to be implanted at a second treatment site at a neck region of the patient, where the second conductive region is configured to deliver a second electrical signal to the second treatment site to thereby activate an infrahyoid strap muscle.

The invention discloses a sleep dyspnea assessment method based on limited lead signals, and belongs to the technical field of sleep dyspnea monitoring. The method aims at solving the problems that in the prior art, an oxygen deduction index (ODI) algorithm lacks a unified standard for baseline definition and event boundaries, the accuracy and consistency of evaluation results are affected, and a traditional lowest blood oxygen saturation (LSpO) index is prone to being interfered by artifacts. According to the method, an adaptive wave crest baseline is combined with a four-node time sequence constraint structure to detect an oxygen reduction event, an ODI {deviation, duration} index is calculated, and the duration and the descending depth of the event are quantified; a quantile interval average value index is introduced to replace traditional LSpO so as to stably evaluate the severity of the hypoxemia; by analyzing the difference value of the heart rate variability indexes before and after sleep, the regulation degree of sleep on the autonomic nervous system is quantified. The system is cooperatively realized by the wearable device and the data processing device, and is especially suitable for household and large-scale screening scenes. The key word in the figure 1 is sleep breathing disorder; obstructive sleep apnea; an oxygen reduction index; a wave crest baseline is self-adapted; detecting a four-node event; heart rate variability; a wearable device; and oxyhemoglobin saturation.

An eye mask system for providing respiratory pressure therapy (RPT) for treatment of sleep disordered breathing, comprising: an eye mask configured to cover the user's eyes in use; one or more transducers configured to influence the user's sleep and / or detect characteristics of the user or the user's sleep. The eye mask system may comprise: a connection port to receive a pressurised flow of air or a flow generator; the eye mask system may comprise a plenum chamber, a seal-forming structure to form a seal with a region of the user's face and a vent to allow flow of gases exhaled by the user to ambient. The eye mask system may operate in a non-treatment mode in which RPT is not provided to the user, and a treatment mode in which RPT is provided to the user.