20 results about "Breathing disorders" 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.

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 treating disordered breathing of a human being includes an implantable transvenous stimulation lead having at least one stimulation electrode and a sensor configured to detect activity level of the human being. The system includes an energy source, a pulse generator and circuitry, the circuitry operative to receive a signal indicative of the activity level of the human being from the sensor, wherein the circuitry is configured to cause the energy source and the pulse generator to deliver spaced apart stimulation signals to the at least one stimulation electrode while the activity level of the human being is sufficiently low to be indicative of sleep. Spaced apart stimulation pulses from the electrode are configured to extend a duration of a time of at least one breath being defined as the time from an onset of inhalation to the onset of inhalation of a successive breath.

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.

The present application relates to the field of medical detection, especially to a kind of medical examination auxiliary device.The medical examination auxiliary device of the present application is connected with two connecting heads respectively fixed with two inner clamping blocks on head pad through fixing belt and elastic belt, hollow passage is arranged in right fixed seat and left fixed seat between the two connecting heads, to avoid interfering with the flow of respiratory airflow, the slight outward expansion extrusion force of inner clamping block is applied to the inner side of children's ala nasi by elastic belt, the airflow detection sensor on the inner clamping block can be easily fixed in the nostril of children, at the same time, the nostril of children is kept in the state of expansion, to ensure that the respiratory airflow in the nasal passage of children flows normally.Improve the technical problem that the existing medical detection device for sleep breathing disorder of children exists when detecting the sleep breathing of children in nasal region, the accuracy of detection is affected due to the interference of children's respiratory patency.

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

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.

The present invention relates to a surfactant protein B analog and a synthetic pulmonary surfactant comprising same. A pulmonary surfactant according to one aspect has excellent surface physical properties and thus is useful for treating breathing disorders such as infant respiratory distress syndrome.

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

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.

An apparatus (100) for treating sleep apnea or other respiratory disorders is provided. The apparatus (100) includes an upper portion (101), a lower portion (102), and a middle portion (103). The upper portion (101) is configured to be placed on at least one tooth of the patient's upper jaw, while the lower portion (102) is configured to be placed on at least one tooth of the patient's lower jaw. The middle portion (103) is configured to connect the upper portion (101) and the lower portion (102) together when the upper portion (101) and the lower portion (102) are placed on the teeth of the patient's upper and lower jaws to maintain a fixed position of the upper and lower jaws. The apparatus (100) also includes at least one fastening member, such as dental floss, a nickel-titanium alloy wire, an elastic band, or the like. The fastening member is configured to engage at least one interdental space of each of the upper and lower jaws to fasten the upper portion (101) and the lower portion (102) to the teeth of the upper and lower jaws, respectively. Thus, the apparatus of the present invention provides an improved oral appliance for treating sleep apnea, particularly obstructive sleep apnea, which is capable of maintaining the upper and lower jaws of the patient in a fixed position to keep the airway unobstructed.

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.

Described herein are devices and methods of treating obstructive breathing disorders in a patient. A method may include: attaching an anchor to a dorsal region of a tongue body; applying an external force to the tongue body; and adjusting a magnitude of the external force. In some embodiments, the magnitude of the external force is adjustable across multiple levels based on one or more of: patient comfort, desired therapeutic effect, or patient wake or sleep state. In some embodiments, at least a portion of the external force is directed along an anterior direction. In some embodiments, the external force causes at least one of the following actions: anterior displacement of a portion of the posterior tongue during sleep or reducing posterior displacement of a portion of the tongue during sleep.

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.

A method of treating sleep breathing disorders includes providing pressure to an airway of a patient for a period of time including a plurality of inspiratory periods and a plurality of expiratory periods. In a part of time (including the end of the inspiration period) of the inspiration period, the pressure is remission positive airway pressure; the pressure is at a therapeutic positive airway pressure, which is greater than the remission positive airway pressure, over a portion of the expiratory period, including the end of the expiratory period. After the expiration period ends, the pressure drops from the therapeutic positive airway pressure to the remission positive airway pressure.

Disclosed herein are methods of manufacturing an oral appliance, the method comprising the steps of: a) importing into a computer aided design (CAD) computer program a digitized data set obtained from a three-dimensional scan of a patient's dentition; b) preparing a three-dimensional electronic model of the patient's dentition; c) subtracting the three-dimensional electronic model of the patient's dentition from an image of a solid block to obtain an appliance data set; and d) manufacturing a dental appliance in accordance with the appliance data set. Also disclosed are devices made by the above method, and methods of treating a condition, for example a sleep breathing disorder, by using a device made by the above method.