40 results about "Breathing pattern" patented technology

The invention discloses a system and a method for monitoring and analyzing a breathing mode of an individual. The system integrates a first sensing device for a nasal cavity and a second sensing device for an oral cavity through monitoring equipment worn on the head and the face. The core of the method is that synchronous quantitative calculation of mouth and nose breathing flow is achieved for the first time through the schemes of hardware decoupling (parallel ultrasonic measurement of oral geometry and flow velocity) and algorithm decoupling (calculation of nasal cavity flow and area from coupling signals in combination with user calibration). According to the invention, the core biomarker ONFR is obtained, and the problem of ambiguity of oral respiration and apnea in the prior art is solved. The invention further discloses a multi-level precision framework, artifact recognition based on double IMUs and a'digital phenotype 'risk early warning technology based on cloud AI. The invention has important application value in the fields of sleep health, sports physiology and the like.

The invention provides a breathing mode analysis method and device based on a calm breathing pressure difference waveform and electronic equipment, and relates to the technical field of medical signal processing and artificial intelligence, and the method comprises the following steps: obtaining a calm breathing pressure difference original signal of a target user; preprocessing the calm breathing pressure difference original signal to obtain a target waveform sequence; performing feature extraction based on the target waveform sequence to obtain a plurality of dimension features; combining the at least two dimension features to obtain a multi-modal feature; and inputting the multi-modal features into a trained classification model, and outputting a breathing pattern classification result. According to the method, the whole analysis process is completely based on natural calm breathing, special cooperation or forced breathing actions of the user are not needed, the pain point that traditional lung function examination has a high requirement for the user cooperation degree is solved, and auxiliary decision making of chronic respiratory diseases is achieved.

This disclosure relates to systems and methods for monitoring sedated patients that are receiving supplemental oxygen flows. A method of monitoring a patient's breathing while sedated includes identifying an end expiratory pause in the patient's breathing pattern and obtaining a first respiratory signal corresponding to a nasal pressure of a patient. The method may also include delivering a pulse of high-flow oxygen during the end expiratory pause at a rate of about 30 liters-per-minute (L / min) and delivering the pulse of high-flow oxygen during the end expiratory pause for less than 0.5 seconds. The method may further include measuring a peak nasal pressure and a peak oxygen flow and synthesizing a second respiratory signal. The second respiratory signal may correspond to the peak nasal pressure and the peak oxygen flow, and may be normalized for the patient. The method may additionally include determining the patient's breathing pattern, rate, or frequency.

The present disclosure relates to devices, systems, and methods for high frequency chest wall concussion (HFCWO) therapy that can promote mucous drainage by preferential impacts on a user, including by continuously applying pressure to the chest engaging device to provide HFCWO, to enhance sputum excretion. A chest wall concussion therapy system of the present disclosure may include a chest engagement device for transmitting an impact force to a patient's chest and a force generator arranged to generate a continuous impact force as a patient treatment regimen. The thoracic wall concussion therapy system additionally comprises a therapy control system comprising at least one sensor arranged to detect an indication of a breathing pattern of the patient.

Described herein are a system and a method for automatically guiding and evaluating a user's performance during structured breathing exercise sessions. The system retrieves predetermined breathing patterns, including sequences of inhales, exhales, and breath-holds across one or more rounds. Each round includes at least two stages: a breath-hold stage and a first full breath stage immediately following the breath-hold. The system provides real-time guidance through sensory cues, receives user-initiated or automatic signals marking stage transitions, records the duration of each stage, and determines ideal or target durations. A longer first full breath duration indicates improved breath-hold performance and reduced stress. The system generates a final score for each round by combining breath-hold and first full breath durations, reflecting performance, relaxation, lung function, tolerance metrics, and the like. Aggregate session scores are computed across rounds, offering insights into exercise suitability, session effectiveness, and physiological adaptation over time.

This invention discloses an intelligent respiratory function training device, method, and electronic device. The device includes a mouthpiece module and a display module. The mouthpiece module captures preset physical parameters of the user's breathing and generates corresponding electrical signal data. The preset physical parameters include airflow velocity, air pressure, and breathing pattern. The display module receives the electrical signal data in real time, preprocesses the received electrical signal data, and displays it according to a preset method. The preset method includes converting the preprocessed electrical signal data into corresponding charts and / or numerical values. By proposing a visualized intelligent respiratory function training device, it provides users with personalized breathing exercise guidance, improving the user experience.

The invention relates to a method for estimating an inhaled dose of a medicament when delivered to a user by an inhaler (12, 52). A predicted inhaled dose (PID) of the medicament is estimated from at least one first type parameter and at least one second type parameter. The first type parameter is related to a breathing pattern of the user and the second type parameter is related to the inhaler (12, 52).

A building automation system includes a ceiling-mounted sensor module comprising a millimeter-wave radar sensor, thermal array sensor, and ambient light sensor. The millimeter-wave radar sensor detects stationary occupants by measuring chest movements corresponding to breathing patterns and generates three-dimensional position coordinates for each detected occupant. A control unit processes sensor data locally and automatically controls a lighting system, window covering system, climate control system, and audio system based on occupancy patterns and environmental conditions. The control unit adjusts lighting brightness and color temperature according to a solar schedule determined from GPS coordinates and time of day, and prevents lighting activation when ambient light levels exceed a predetermined threshold despite detected occupancy. The system operates independently during network disruptions through local data processing within the residential structure.

Infant training devices and methods for the use thereof are disclosed herein. A benefit to the devices and methods herein can be the effective training of an infant to develop the suck-swallow-breathe pattern of nutritive and non-nutritive sucking required for feeding from an infant bottle, or for self-soothing with a pacifier. A further benefit to the devices and methods herein can be providing versatile devices for the use of vibration therapy as an infant training aid for feeding from an infant feeding bottle, or as an infant soothing pacifier.

Methods and systems are provided for aiding a subject of a medical imaging exam in performing coached breathing. In one embodiment, a method for a medical imaging system comprises generating a three-dimensional (3-D) virtual representation of a portion of a surface of a chest and / or abdomen of a subject of the medical imaging system, the portion adjustable in size by an operator of the medical imaging system; displaying changes in the 3-D virtual representation to the subject on a display device of the medical imaging system while the subject breathes, in real time; displaying instructions to the subject on the display device to perform coached breathing in accordance with a selected breathing pattern, using the 3-D virtual representation as a guide; and in response to detecting a deviation of a breathing pattern of the subject from the selected breathing pattern, indicating the deviation to the subject.

A nebulizer monitoring system and a medication adherence monitoring method. The nebulizer monitoring system includes a nebulizer and a remote monitoring platform. The nebulizer has a mouthpiece. The nebulizer includes a nebulizing module, a sensing assembly, and a control module. The control module is electrically connected to the nebulizing module and the sensing assembly. The remote monitoring platform includes a computing module. The computing module is configured to analyze and calculate at least two adherence parameters and generate a breathing pattern. The control module is configured to adjust a nebulizing frequency and an aerosol volume of the nebulizing module based on the breathing pattern.

A system and method for monitoring respiratory movements and generating real-time audio feedback reflects a user's breathing pattern. The system includes a respiratory sensor, a signal processor, an audio synthesis unit, a wireless transmitter, and an audio output device. Respiratory signals are captured, filtered, and analyzed to determine inhalation and exhalation phases. The audio synthesis unit produces corresponding sound signals that are dynamically modulated based on the user's breathing intensity and rhythm. The audio output provides a continuous, natural-sounding auditory representation of breathing, which can be used for caregiver reassurance, sleep monitoring, or relaxation purposes. Abnormal events such as breathing cessation or muscle spasms may trigger audio alerts or spoken messages. Processed physiological metrics, including respiratory rate, heart rate, and sleep state, being transmitted to a cloud platform for long-term analysis. The system may also interface with smart lighting or external alerting devices to support hearing-impaired caregivers.

The invention relates to the technical field of lung function evaluation, in particular to an atomization image analysis method for lung ventilation function evaluation. The method comprises the following steps: firstly, acquiring lung atomization images under various concentrations by changing the concentration of aerosol; based on image block level analysis, the lung is divided into different functional regions (such as lung lobe and airway regions), particle distribution difference characteristics of different image blocks are compared to quantify deposition indexes, and regional ventilation uniformity is reflected; sub-regions are further divided in combination with density clustering, the number change of atomized particles is analyzed across time points, and a metabolic rate index is calculated to represent local metabolic activity; and finally fusing the deposition index and the metabolic rate index to generate a ventilation obstruction evaluation value. According to the method, through space-time sequence multi-parameter coupling, the breathing mode and individual difference interference are effectively reduced, the ventilation function and the metabolism state are synchronously analyzed, a quantitative basis is provided for pulmonary ventilation disorder analysis, and evaluation comprehensiveness and clinical decision accuracy are remarkably improved.

An inhalation treatment device comprises a housing body (4), a reservoir (2), a membrane unit comprising a membrane (5), an actuator (6) and a flow path (7). A liquid is supplied to the first side of the membrane, and an aerosol is generated at the second side. A flow is created in a first flow direction from the second opening to the first opening of the flow path upon inhalation and a flow is created in a second flow direction from the first opening to the second opening upon exhalation. The second opening is shaped to establish a flow resistance of 160 Pa + / -100 Pa upon inhalation of the user, and the flow resistance upon exhalation is at least 25% lower than the flow resistance upon inhalation, the flow resistance measured at peak flow rates of sinus breathing modes with inhalation and exhalation times of two seconds, respectively, and tidal volume of 500 ml.

Apparatus, such as a respiratory therapy device 4000, may generate a signal representing an estimate of a patient breathing pattern when using a flow therapy device with an un-sealed patient interface. The device may include a blower and may generate a flow of air at a controlled flow rate. The apparatus may include a controller. The generation may involve computing an estimate of the breathing pattern as a function of a device flow rate signal; a device pressure signal; a device conductance; a patient conductance; and a coupling parameter that characterizes a degree of coupling between the interface and the patients nares. An estimate of an exit pressure representative of a pressure of a flow of air generated by the therapy device just outside an orifice of the unsealed interface may also be computed. An estimate of a flushing flow rate from the estimated exit pressure may also be computed.

The invention discloses a preparation method of a common-structure bimodal respiration sensor based on a printing process, and aims to solve the problem that an existing respiration sensor cannot monitor and recognize a mouth-nose respiration mode. According to the device, NaCl is loaded on leather fibers through ultrasonic soaking to form a humidity-sensitive layer. Then, a G / PEDOT: PSS positive electrode and a Zn negative electrode are sequentially subjected to silk-screen printing on the substrate, and after drying and curing, silver paste is smeared at end points to form a lead area; the sensor responds to temperature change through positive electrode resistance, and responds to humidity change through open-circuit voltage between the positive electrode and the negative electrode. Based on the difference between the breath temperatures of the mouth and the nose, various breathing modes can be stably recognized in real time, and accurate distinguishing between mouth breathing and nose breathing is achieved. The system has high customizability, the dual-mode common structure design of the system has important significance on the development of wearable and multi-mode sensors, and the system can be widely applied to the fields of sleep respiratory disease monitoring, respiratory rehabilitation management and the like.

The system according to this embodiment aims to analyze the user's sleep data and provide a personalized sleep improvement plan. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a proposal unit, an audio provision unit, and a consultation promotion unit. The data collection unit collects data such as the user's heart rate, body temperature, breathing pattern, and frequency of turning over in sleep. The analysis unit analyzes the data collected by the data collection unit using deep learning. The proposal unit proposes an individualized sleep improvement plan based on the analysis results obtained by the analysis unit. The audio provision unit provides customized meditation audio for relaxation based on the plan proposed by the proposal unit. The consultation promotion unit prompts the user to consult a medical professional based on the sleep abnormalities detected by the analysis unit.

The application relates to the technical field of atomizer control, and discloses a child intelligent atomizer capable of quantitatively guiding a breathing mode and a control system, which comprises a user analysis unit used for receiving real-time breathing frequency and body temperature data of a user through a mobile terminal, comparing and analyzing the collected real-time breathing frequency and body temperature data of the user with a standard database, identifying the use condition of the user, and generating a control instruction; the application increases the interactive feeling through voice guidance, pacifies the emotion, guides the breathing, and makes the small children naturally calm down through music; the light prompts abnormal conditions, sets up the atmosphere, effectively reduces the fear of the children for treatment, compared with common atomizers, the application can prompt correct breathing modes, the medicine deposition effect is better, in addition, the music is self-defined, the childlike and lovely appearance is matched, the atomizer is more like a music toy, the attention of the children can be transferred from the discomfort of treatment, and the cooperation degree is improved.

The present specification relates to a smart mask, and more particularly, to a smart mask capable of measuring breathing regardless of the breathing channel and the breathing method by separating the breathing flow channel and the measurement flow channel. A smart mask according to an embodiment of the present specification comprises: a main body module including a wearing part forced against one side of the user's respiratory organ and an air controller forming a first chamber therein together with the wearing part and changing the user's breathing characteristics; and a cover module extending from or coupled to the main body module to form a plurality of flow channels, wherein the plurality of flow channels include a breathing flow channel through which the user's breathing flows and a measurement flow channel for measuring the flow rate of air according to a change in pressure inside the first chamber, and the measurement flow channel is formed separately from the breathing flow channel.

The invention discloses a body and mind state assessment method and system based on multi-mode biological signal fusion processing. According to the method, human face and body features are collected through videos, and features such as micro-expressions, eye movements (pupils and gazes), breathing modes, postures and physiological micro-movements are extracted; generating a multi-dimensional state vector by adopting timestamp registration and a cross-modal attention and gating fusion network in combination with an individual baseline and adaptive calibration, and outputting indexes including emotion, pressure, alertness and the like and a confidence interval; and triggering a prompt or intervention suggestion when the preset threshold value is exceeded. The system supports edge end quantitative operation, and data security is guaranteed through federated learning and privacy protection technologies. The method has remarkable effects in the aspects of anti-noise robustness, individualized adaptation and credibility, and is suitable for robots and man-machine interaction scenes.

This application discloses a method and device for early warning of sleep apnea in newborns, relating to the field of intelligent monitoring and pattern recognition technology. The method includes: acquiring initial audio data and real-time monitoring audio data of a newborn's sleep; performing feature analysis on the initial audio data to construct a standard breathing pattern, i.e., a dominant frequency signal, characterizing individual breathing features; dividing the real-time monitoring audio data into multiple time segments, calculating the pattern matching degree between each time segment and the standard breathing pattern to identify variations in the breathing waveform; and classifying and discriminating based on the matching degree to generate a risk warning signal for sleep apnea. This application achieves accurate identification and early warning of newborns' sleep breathing state by constructing personalized standard breathing patterns and using pattern matching algorithms to quantify the differences between real-time data and the standard pattern.

The invention discloses a breathing training control method, device and equipment based on AI and a medium, and relates to the field of artificial intelligence. The breathing training control method comprises the steps that the breathing state of a user is monitored, and a corresponding breathing state signal is generated; generating a corresponding sound control signal according to the breathing state signal; controlling a preset audio output device to make corresponding sound according to the sound control signal; wherein the sound control signal is at least used for controlling the volume and / or tone of the sound, and when the breathing state signal indicates that expiration is unstable, the volume and / or tone of the sound is controlled to fluctuate. By establishing the real-time interaction relation between respiration and sound, the interestingness and the user participation degree of the training process are remarkably improved. A closed-loop feedback mechanism guides a user to actively adjust a breathing mode, and boring physiological training is converted into vivid music creation experience, so that the training effect can be maintained for a long time.

A wearable device and system has been developed to help users learn the practices of diaphragmatic breathing and breathing patterns to improve running and walking performance. The wearable has a breathing sensor (breathe in-breathe out) and a movement sensor used to identify foot strikes. A processor computes the number of foot strikes occurring while inhaling and the number of foot strikes occurring while exhaling to report breathing patterns as a function of time. The algorithms may be modified to teach breathing patterns to athletes in other sports and deep breathing for numerous movement and minimal movement applications.

The present application relates to the field of medical devices and digital health technology, in particular to a kind of children's respiratory training device intelligent device and its using method, including silica gel nozzle, plastic inlet piece, mode disc, silica gel suction valve, adjusting spring, frequency ball, airway cavity, intensity disc, detection module, air inlet and outlet grid, spring sliding member, silica gel exhale valve and mapping system;The mapping system includes adaptive algorithm module and game mapping module;The adaptive algorithm module is based on the personal information of user to calculate the gear required by user and training mode;The game mapping module is based on the game scene and training feedback mode of user's respiratory training setting.This application adjusts breathing pattern and training intensity through pure mechanical structure, solves the problem of insufficient user compliance through respiratory training combined with game dynamic mapping engine, and solves the problem of individual difference through adaptive algorithm.

A mechanical ventilator may include an oscillating flow controller and a respiratory interface fluidly connected to a bi-directional fluid port of the oscillating flow controller. The mechanical ventilator may be connected to a source of pressurized breathing air. Breathing air from the source of pressurized breathing air may drive the oscillating flow controller to periodically change state according to a predetermined cycle emulating a predetermined breathing pattern. The same breathing air may be provided to a user according to the predetermined cycle.

Respiratory guidance device, particularly for children, comprising a pumping device designed to draw in and exhale air; a hard housing designed to enclose the pumping device; an inflated body in fluid connection with the pumping device; an elastic cover designed to enclose the hard housing; a control element located within the hard housing and designed to control the pumping device in such a way that the inflated body inflates and deflates in a sequence that mimics a desired breathing pattern.

Methods and systems are provided for calibrating oxygen sensitive imaging techniques and improving accuracy of blood oxygen level measurement therewith, such as via blood oxygen level dependent MRI. In various embodiments, the methods include concurrently or simultaneously acquiring a plurality of T2 or T2* MR images in a pre-determined breathing pattern and measuring corresponding percutaneous O2 saturation level or end-tidal O2 partial pressure. The breathing pattern effectuates a varying degree of arterial oxygen saturation level. With the acquired T2 or T2* data and the percutaneous O2 saturation level or the end-tidal O2 partial pressure, one can solve for fixed parameters in the Luz-Meiboom (L-M) model for MR oximetry, thereby calibrating these parameters for a target individual, a target organ, or a target MR imaging sequence.

The present invention provides a wearable device for detecting movements of a wearer, device having: a substrate which is flexible and elastically deformable; a plurality of electrodes formed on the substrate; and a plurality of strain sensors formed on the substrate and configured to detect movement of the substrate, wherein: each strain sensor is formed at the intersection of a pair of said electrodes and comprises an insulating layer separating the pair of electrodes and one or more graphene connections conductively linking the electrodes in a plurality of orientations, such that relative movement between the pair of electrodes causes a change in the resistance of the graphene connection or of each of one or more of the graphene connections The wearable device is particularly suited for the detection of the breathing patterns of the wearer during sleep. A system for detecting and classifying the breathing patterns of a wearer during sleep is also provided.

The invention discloses a sleep posture correction method based on infrared thermal image enhancement and intelligent equipment. The method comprises the following steps: acquiring an infrared thermal image of a user in a sleep process; performing image enhancement based on a pyramid network and combined with human body thermal image feature optimization on the infrared thermal image; recognizing a sleep posture and a breathing mode of the user based on the enhanced thermal image, and judging a sleep cycle; according to the recognition result and the sleep cycle stage, executing at least one intervention mode of sound, vibration, temperature adjustment or illumination so as to assist in correcting bad sleep postures or relieving apnea. The device can be an independent monitor or an embedded device. The sleep posture recognition precision is improved, deep sleep is prevented from being interrupted, personalized optimization is supported, and the method is suitable for families and medical scenes.

The application relates to the field of intelligent medical treatment, in particular to a system, a method and a device for simulating a lung breathing mode. The system comprises an electrical impedance network module for simulating the electrical impedance change of the lung; a power supply module for supplying power for the electrical impedance network module and a control module; the control module acquires breathing instruction data, judges a breathing mode based on the breathing instruction data, controls the electrical impedance network module to simulate corresponding electrical impedance change based on the breathing mode, and obtains simulated lung breathing data; wherein the breathing mode comprises a shallow breathing mode, a deep breathing mode, a pendulum breathing mode and a lesion breathing mode. The application can simulate data of different breathing modes, is used for evaluating the accuracy of an EIT system, and has good clinical application value.