63 results about "Breathing pattern" patented technology

A system for guiding a user with heart rate variability feedback may include a computing device comprising a heart rate sensor, one or more processors, and memory having stored thereon computer program code that, when executed by the one or more processors, is configured to cause the one or more processors to receive user input, responsive to receiving the user input, cause an audio output device to output an audio content associated with a default breathing pattern, dynamically receive interbeat interval data from the heart rate sensor, dynamically extract one or more characteristics from the interbeat interval data, cause the display to indicate a dynamic visual pattern based on the one or more characteristics, dynamically determine a second breathing pattern based on the one or more characteristics, and dynamically cause the audio content to change based on the second breathing pattern.

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 breathing coach system and method is disclosed comprising a biometric device capable of measuring one or more biometric measurements of a user; an application executed on a processor on a wearable device monitoring said one or more biometric measurements coupled to said biometric device and notifying the user to perform a recommended breathing pattern to effect said one or more biometric measurement when one or more of said one or more biometric measurements is within a predetermined region.

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.

A method of adjusting a predefined listening time of a voice assistant device includes receiving an audio input; extracting at least one of a speech component and a non-speech artifact from the audio input; determining a user breathing pattern based on the at least one of the speech component and the non-speech artifact; identifying at least one attribute that impact the user breathing pattern based on at least one non-speech component, captured from an environment and the voice assistant device; determining, after detecting a pause in the audio input, whether a user's intention is to continue a conversation based on an analysis of the user breathing pattern and the at least one attribute; and dynamically adjusting the predefined listening time of the voice assistant device to continue listening for voice commands in the conversation based on a determination that the user's intention is to continue the conversation.

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.

The invention discloses a martial art motion information acquisition method and intelligent equipment. The martial art motion information acquisition method comprises the following steps: acquiring breathing data and posture data; acquiring a respiration basic curve based on the respiration data, and acquiring an attitude basic curve based on the attitude data; marking a breathing mode to a breathing basic curve based on breathing characteristics to obtain a breathing data curve, and marking step change and gravity center change to an attitude basic curve based on attitude characteristics to obtain an attitude data curve. The intelligent equipment comprises a waistband body, a bandage combined with the waistband body, a respiration monitor and a posture monitor, the respiration monitor comprises a heart rate monitoring module and a main central processing unit module, and the heart rate monitoring module is used for collecting respiration data with a timestamp; the posture monitor is used for collecting posture data with timestamps, and the main central processing unit module is used for executing the martial art motion information obtaining method.

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.

A computer-implemented method for monitoring and / or controlling a medical imaging procedure on a patient includes receiving breathing information concerning a breathing pattern of the patient and selecting a compliance class from at least two possible compliance classes based on the breathing information, wherein at least one of the possible compliance classes corresponds to a compliance of the acquired breathing information with a given desired breathing and / or breath-holding pattern. The method further includes (1) controlling the medical imaging procedure depending on the selected compliance class and / or (2) outputting non-compliance information to a user and / or storing the non-compliance information with an acquired medical image data when the selected compliance class does not indicate a compliance of the acquired breathing information with the given desired breathing and / or breath-holding 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 invention relates to the technical field of rehabilitation pressure dynamic management, in particular to a cancer patient rehabilitation pressure dynamic management system which comprises a pressure state recognition module, a breathing mode monitoring module, a training rhythm dynamic adjustment module, a training effect feedback module and a dynamic management module. According to the method, real-time tracking of pressure state changes is achieved on the basis of dynamic calculation of the inspiration duration, the expiration duration and the I / E ratio in combination with continuous respiratory cycle data, and through single-time respiratory amplitude calculation and multi-cycle amplitude change trend analysis, the respiratory mode classification precision is enhanced, the pressure recognition stability is improved, and the accuracy of pressure recognition is improved. The training rhythm is adjusted to adapt to the current state of the patient by combining the inspiration time deviation, the I / E ratio trend and the breathing amplitude change, the pressure state is analyzed in real time, the target is guided by combining the breathing rhythm, the pressure intervention scheme can be accurately matched according to the current state of the patient, meanwhile, the interactivity of the training process is enhanced, and the training efficiency is improved. The pertinence of pressure management during the rehabilitation period is improved.

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.