47 results about "Breathing cycle" patented technology

The invention provides an expectoration auxiliary control method and device. The method comprises the steps that audio signals of breathing sounds and cough sounds at multiple positions of the chest of a patient are collected through an audio sensor array, and a standardized audio feature data set is obtained through noise reduction, segmentation and feature extraction; a dynamic weighted graph model is constructed, and a random edge sampling algorithm and a parallel batch processing dynamic algorithm are combined to analyze and obtain a sputum viscosity index and a sputum distribution position map; based on the result, mapping the vibration parameter space into an unweighted disk diagram, and obtaining a personalized vibration treatment scheme by using a shortest path algorithm; in combination with the real-time breathing cycle of the patient, working parameters of the sound wave vibrator and the negative pressure suction device are synchronously controlled, and a coordinated and consistent multi-mode treatment execution instruction is obtained; and collecting real-time feedback data in treatment, and dynamically adjusting working parameters through reinforcement learning to obtain an optimized expectoration adjuvant therapy scheme. Intelligent adjustment can be achieved based on the real-time breathing state and sputum characteristics of the patient, the expectoration efficiency is improved, and discomfort of the patient is reduced.

The embodiment of the invention provides a breathing machine inspiration detection method and device and a computer readable storage medium, and the method comprises the steps: collecting first pressure data and first flow data in a current breathing period, and calculating a target flow baseline according to the first pressure data, the first flow data and a preset fitting formula; calculating a virtual traffic baseline according to the target traffic baseline and the first traffic data; if it is judged that the inspiration triggering state is not reached or the virtual inspiration flow change rate in the inspiration triggering state is smaller than a preset flow change threshold value, second pressure data and second flow data of the next respiratory cycle are continuously collected, and the virtual inspiration flow change rate is calculated; and judging that inspiration is detected until the detected virtual inspiration flow change rate is greater than or equal to the preset flow change threshold value. According to the invention, the phenomena of inspiration detection delay, group delay and the like can be avoided, the difference between detected inspiration and actual inspiration is reduced, and the sensitivity of inspiration detection is improved.

The invention relates to the field of breathing mode anomaly detection, and provides a breathing mode anomaly recognition method and system based on time series data mining, and the method comprises the steps: collecting and preprocessing an original breathing signal, and obtaining breathing time series data; processing the breathing time sequence data by adopting a multi-scale feature extraction network to obtain a multi-scale breathing feature vector; performing sample amplification on the multi-scale respiration feature vector and the marked sample through a generative adversarial network to obtain an amplified training sample set; carrying out model training on the amplified training sample set through a decision making system, and carrying out anomaly detection on a to-be-detected respiration feature vector to obtain an anomaly detection result and an uncertainty evaluation result; and outputting graded early warning information based on an abnormal detection result and uncertainty assessment in combination with clinical risk assessment. According to the method, high-precision detection, dynamic risk assessment and graded early warning of the abnormal breathing mode are realized while the feature extraction process is ensured to be highly matched with the difference of individual breathing cycles.

The invention relates to a breathing cycle testing device for a battery anti-explosion valve. The breathing cycle testing device comprises a supporting assembly, a first cavity, a second cavity, a driving assembly and a pneumatic assembly. Through the design of the supporting assembly of the movable mounting plate and the bottom plate and the cooperation with the liftable second cavity structure, the battery explosion-proof valve can be conveniently clamped; meanwhile, by means of the double-state switching function of the pneumatic assembly, air supply can be automatically switched between the first cavity and the second cavity, the front and back pressure alternating testing of the anti-explosion valve is completed, and the problems that a traditional device is tedious in operation step and low in testing efficiency are effectively solved; according to the overall structural design of the device, the operation process is simplified, the test automation degree is improved, and the requirement for efficient test of the performance of the anti-explosion valve in the battery production process can be met.

The utility model is applicable to the technical field of medical apparatus and instruments, and provides a structure for simulating human respiratory rate and a respirator test tooling, the structure for simulating human respiratory rate comprises a three-way connecting piece, the three-way connecting piece comprises a first connecting port, a second connecting port and a third connecting port, the first connecting port is connected with a simulated lung, and the second connecting port is connected with a simulated lung; the inspiration power part is connected to the second connecting port through a first gating valve, the expiration power part is connected to the third connecting port through a second gating valve, and when the first gating valve is opened and the second gating valve is closed, the inspiration power part works to blow air to the simulated lung to simulate the inspiration state of the human body; when the first gating valve is closed and the second gating valve is opened, the expiration power part works to pump out and discharge gas in the simulated lung, the expiration state of the human body is simulated, a complete breathing cycle is completed, the structure is simple and reliable, accurate simulated human body breathing monitoring parameter data can be provided for a breathing machine, and the breathing machine can be used for simulating the breathing state of the human body. And the requirements of special case test cases of the breathing machine are met.

The application provides a sleep mask for simulating a plateau environment, comprising a mask body, a mounting seat arranged on the mask body, a total air passage arranged on the mounting seat and being in communication with the outside world, and a flow resistance adjusting mechanism for adjusting the flow resistance of breathing air in the total air passage, wherein the flow resistance adjusting mechanism comprises a ventilation port arranged on an end wall of the total air passage and a flow resistance adjusting piece for adjusting the size of the ventilation port. The sleep mask for simulating a plateau environment can be used for simulating the sleep of a person in a plateau area at different altitudes. The sleep mask for simulating a plateau environment can adjust the opening of the ventilation port by the flow resistance adjusting piece during sleep, adjust the air amount entering the total air passage per unit time, and further adjust the total oxygen content inhaled by the person in each breathing cycle, so as to achieve the technical purpose of simulating the sleep in a plateau area at different altitudes in a normal altitude area.

The application discloses a self-adjusting breathing training device, which comprises a gas control valve sleeve, the gas control valve sleeve comprises an inclined side wall, the gas control valve sleeve comprises a breathing interface and an atmosphere interface, a movable valve plug is arranged between the breathing interface and the atmosphere interface, and a gas path channel is formed between the edge of the movable valve plug and the inclined side wall. The application can accurately quantitatively control the size of impedance, so that the load of a patient in a training process is within a controllable range, the analysis and adjustment of a training plan of the patient are facilitated, the gas path channel can be adjusted and adapted according to the training intensity of the patient to obtain different impedance, the inspiratory muscle can be trained, and the expiratory muscle and the inspiratory muscle can be simultaneously trained in one breathing cycle.

The invention discloses a breathing state detection method and system based on deep learning and a breathing machine, and the method comprises the steps: carrying out the preliminary simple filtering of airflow and air pressure data, and removing the interference of high-frequency noise on subsequent slices; judging a breathing cycle according to the waveform of the breathing data, and slicing the airflow and air pressure data according to the breathing cycle; converting the data from the time domain to the time-frequency domain, and obtaining the time-frequency domain characteristics of the signal; and inputting the obtained signal time-frequency domain characteristics into a neural network algorithm of each subtask, and identifying various states of the current equipment. According to the breathing machine control method, the accuracy of the breathing machine control method and the use experience of a user are improved by combining a multi-state recognition network of convolution, ResNet and Transform, and the robustness is enhanced through multiple recognition and a voting mechanism.

Systems and methods for determining lung impedance of a subject by acquiring multiple impedance measurements from different areas of a thorax of the subject, using multiple electrical circuits, each electrical circuit comprising a pair of electrodes attached at different locations over the thorax of the subject. The acquisition of impedance measurements of all of the electrical circuits is done at the same timing-position(s) over the subject's breathing cycle. The acquired impedance measurements may be used to determine at least one physical characteristic associated with the respective subject. The electrical circuits may be powered by several generators outputting AC power at same or different frequencies. According to some embodiments, one of the electrical circuits, powered by one of the generators, may be continuously operated when measuring is done to be used as a timer.

The invention belongs to the technical field of medical apparatus and instrument control, particularly relates to an atomization control system for respiratory nursing, and aims to solve the problems of low medicine deposition efficiency, serious waste and incapability of precise medicine administration caused by the lack of the capability of sensing and responding to the real-time respiratory state of a patient in a traditional atomization device. The system comprises a breathing state real-time monitoring module, an aerosol generation and regulation module, an intelligent control center, a man-machine interaction interface and a cloud data collaboration platform. Breathing parameters are collected through a high-sensitivity sensor, the particle size and the output opportunity of fog drops are dynamically adjusted in combination with a dual-mode ultrasonic atomization technology, and accurate inspiration phase dosing is achieved; a self-adaptive learning engine is arranged in the intelligent control center, the breathing cycle can be predicted, atomization can be started in advance, and the response speed is increased; local closed-loop control and remote personalized management are supported, and the medicine utilization rate and treatment compliance are remarkably improved.

Provided herein are therapeutic devices effective to modulate lymphatic clearance in a subject or patient. The therapeutic devices have a platform configured for actuation of modes of lymphatic clearance, at least one wearable sensor that senses a phase(s) of the breathing cycle, a gating apparatus to synchronize actuation with the breathing cycle as detected by the wearable sensor and a power source. Also provided are methods for modulating lymphatic clearance in a subject using the therapeutic devices.

A method includes, during a measuring period, generating first sensor data representative of a breathing cycle of a user under a first applied pressure and second sensor data representative of the breathing cycle of the user under a second applied pressure. Based on the first sensor data, the method includes determining a first lung volume of the user during the breathing cycle under the first applied pressure. Based on the second sensor data, the method includes determining a second lung volume of the user during the breathing cycle under the second applied pressure. Based on the determined first lung volume, the first applied pressure, the second determined lung volume and the second applied pressure, the method includes determining a lung compliance (LC) value for the user.

According to the present invention, the effects of an aroma component contained in a food and discharged from the nose through the posterior nasal cavity when the food is eaten on the flavor of the food are evaluated by taking the actual eating environment into account, and a fragrance composition in which the expression of retronasal aroma is controlled and which is suitable for products is provided.　The effects of an aroma component contained in a food on the flavor of the food are evaluated by: (1) measuring changes in concentration of the aroma component over time, the changes varying in accordance with the breathing cycle; (2) dividing the whole eating time into arbitrary time intervals, and calculating, with respect to each interval, a peak top average concentration, which is the average value of concentrations at peak tops included in each interval; and (3) setting an arbitrary ratio with respect to the maximum value of the peak top average concentrations as a reference concentration of the aroma component, and defining, as an index (Tonset), the interval where the reference concentration is exceeded for the first time since the start of eating. On the basis of the obtained evaluation result, the blending ratio of aroma components contained in the food is adjusted to prepare a fragrance composition.

The present application relates to health exercise monitoring and intelligent sensing technology field, especially in training control system and method based on six word breathing method, including lower computer perception device module and upper computer analysis system;The lower computer perception device module includes: 12 joint positioning devices installed at the key joints on both sides of the human body trunk, and a breathing monitoring device installed on the chest for monitoring the breathing fluctuation;The upper computer analysis system includes a data acquisition module, a data analysis module, a training effective analysis module;In the present scheme, through the joint positioning device and the breathing monitoring device, the upper limb, the lower limb and the trunk skeletal chain model are constructed, the cosine determination is used to calculate the joint angle and the activity range, and the peak and valley characteristics of the breathing amplitude and the expiration phase slope are extracted;At the same time, a hierarchical standard training reference directory is established, and the single breathing cycle and the complete training sequence are sequentially quantified and evaluated through time sequence action matching.

The invention relates to a device for generating a prepressure at a regulating valve of a breathing machine, comprising a blower (1), a control unit (2) and a regulating valve (3). The blower (1) is designed to draw in ambient air through an inlet, compress the ambient air and transmit the compressed air to the control valve (3). The control unit (2) is designed to vary the rotational speed of the blower (1). The device is characterized in that the control unit (2) is further designed to operate the blower (1) at a first rotational speed level (n1) and to determine a trigger time (t0) at which the rotational speed of the blower (1) is temporarily changed from the first rotational speed level (n1) to a second rotational speed level (n2) within the same breathing cycle of the breathing machine, wherein the first rotational speed level (n1) is smaller than the second rotational speed level (n2). The invention further relates to a method for generating a prepressure on a control valve (3), a respirator and a computer program product.

A device (10) generates an inlet pressure at a control valve of a ventilator (30) and includes a blower (1), a control unit (2) and the control valve (3). The blower is configured to draw in ambient air through an inlet (31), compress and forward it to the control valve. The control unit is configured to change a speed (N) of the blower and to operate the blower at a first speed level (n1) and determine a triggering time (t0) at which the speed of the blower is temporarily changed from the first speed level to a second speed level (n2) within a same breathing cycle of the ventilator. The first speed level is lower than the second speed level. A process for generating an inlet pressure (P) at the control valve as well as to the ventilator including the device and a computer program product are provided.

The invention is a non-implantable device electro stimulator Vagus nerve synchronized by thoracic movements in humans to improve the body motor function of patients after suffering an ischemic stroke, consisting of an atrial mechanism with four Electrodes that stimulate the nerve branches located in an earpiece that electrically stimulate the endings of the Vagus nerve that are located in the area of the Cavum Conchae and the Cymba Conchae of the left ear and the right ear and which in turn connects wirelessly to a mobile application that configures the stimulation parameters, also has a breathing cycle sensing band to sense the breathing placed around the user's chest that measures the expansion and recoil of the chest during breathing.

The invention provides a respiration data processing method and electronic device.The method comprises the steps that configuration parameter information of a current respiration mode is obtained, the configuration parameter information comprises the standard expiration duration, the standard inspiration duration and the respiration sequence, an exercise starting instruction of a user is responded, an image collecting device is controlled to collect an image sequence of the user, and the image sequence of the user is obtained; generating an original breathing signal corresponding to the image sequence according to the image sequence under the current breathing cycle, determining a breathing node in the original breathing signal, and determining at least one actual expiration duration and at least one actual inspiration duration under the current breathing cycle according to the breathing node, according to the actual expiration durations, the actual inspiration durations, the standard expiration durations and the standard inspiration durations, respiratory reference information of the current respiratory cycle is determined. In the process that the user practices the breathing method, the terminal equipment can give out the breathing reference information, real-time interaction with the user is achieved, and the use experience of the user is effectively improved.

The invention relates to the technical field of motion monitoring, in particular to a swimming data monitoring method and system, a head-mounted device and a storage medium. The swimming data monitoring method comprises a data acquisition step of acquiring three-axis acceleration data and three-axis angular velocity data acquired at each time point when a target person swims in real time; a data fusion step: fusing the three-axis acceleration data and the three-axis angular velocity data by adopting a digital filtering algorithm to generate three-axis fusion data presented in an angular velocity form; and a ventilation period identification step: determining the time point of the ventilation period based on the three-axis fusion data. Through the arrangement, the inherent defects of a single sensor can be effectively inhibited, more stable motion feature extraction is realized, timing node omission or misjudgment is effectively avoided, and the judgment accuracy is improved.

The invention relates to a conventional breathing identity authentication method based on sonar perception, which comprises the following steps of: transmitting a high-frequency sonar signal by a loudspeaker of a smart phone, and synchronously recording breathing sounds and sonar echoes caused by chest movement; a signal synchronization algorithm is designed to align transmitted and received signals. A respiratory cycle segmentation method suitable for a low signal-to-noise ratio environment is developed by combining empirical wavelet transform and a deep learning technology to segment respiratory signals. And bimodal features are extracted from the breath sound and chest movement signals and input into an identity authentication model to identify the initial login identity of the user. Once the initial login identity of the legal user is confirmed, an identity holding stage is entered. In the stage, the identity authorization state of the user is continuously verified by monitoring and analyzing intermediate frequency signals influenced by chest movement in real time. The method is simple and convenient to operate and low in cost, breaks through the limitation of a respiratory cycle on authentication in a traditional continuous respiratory authentication method, and realizes high-frequency and continuous authentication of legal user identities.

The invention provides a positive and negative breathing type liquid injection method, which comprises the following steps: preparing for liquid injection: carrying out sealed butt joint on a liquid injection nozzle of a liquid injection cup and a liquid injection port of a lithium battery shell through a fluororubber elastic sealing ring to ensure that a liquid injection channel is in a closed state; and the sealing contact pressure is not less than 0.1 MPa, so that electrolyte leakage in the electrolyte injection process is avoided. According to the invention, through breathing type alternate circulation of'vacuumizing-normal pressure-positive pressure 'and in combination with staged design of breathing circulation 1 (long-delay positive pressure) and breathing circulation 2 (short-delay positive pressure), the liquid injection requirement of'deep infiltration' of gaps of pole pieces of the lithium battery is met, and accurate control of'fine liquid supplementation 'on the surface of the shell is also realized; and the problems of electrolyte bubble residue and non-uniform distribution are effectively reduced.

The invention relates to the technical field of intensive care breathing cycle support monitoring, in particular to a membrane lung and breathing machine end CO distinguishing monitoring method and system. According to the method, a heterogeneous sensor network composed of a multi-mode sensing array is deployed to collect relevant signals of the membrane lung and the breathing machine, space-time calibration is carried out, a dynamic decoupling algorithm is developed in combination with a vascular tree-alveolar coupling model, and a pure mechanical blood flow impact component at the membrane lung end and a blood flow oscillation component at the breathing machine end are deduced; a parallel filter group with a parameter self-correction function and reference signal dynamic update cut-off frequency are used to realize complete separation of CO signal frequency domains at two ends, common-mode interference is eliminated through multi-sensor fusion, and the contribution degree of an effective perfusion area of an anatomical dead space and a membrane lung is distinguished by means of a joint matrix. The problem that in the prior art, CO at the membrane lung end and CO at the breathing machine end cannot be accurately distinguished is effectively solved.

A shock wave lithotripsy device includes a shock wave generation unit that irradiates shock waves to a stone in the body of a patient, a trigger information generation unit that generates trigger information at a time point in a breathing cycle when a focus, which is set within a movement path of the stone according to breathing, matches the stone, and a control unit that controls, on the basis of the trigger information, whether or not to irradiate the shock waves from the shock wave generation unit. The shock waves can be irradiated in response to changes in the position of the stone in the body caused by breathing.

The invention discloses an intelligent auxiliary breathing mask assembly. Comprising a mask main body provided with a supporting ridge and a segmented deformation space, and a buffer piece provided with a U-shaped curvature part. And when the concave surface of the curvature part is pressed, the side edge expands towards the two ends to reduce pressure and strengthen sealing. The processor controls circulating air inflation and deflation of all the spaces according to a preset period, and segmented pressure reduction and pressure sore prevention are achieved; the breathing cycle is judged by calculating the pressure change rate through high-frequency sampling, and synchronous switching of inspiration and expiration cycles is achieved; and based on the difference between the average tidal volume and the preset target, adaptively adjusting the deformation space state to correct the pressure set value. Through the combination of a refined structure and intelligent control logic, the sealing performance is guaranteed, and meanwhile the problems of instrument-related pressure damage and poor man-machine synchronism are effectively solved.

The invention belongs to the technical field of surgical robot navigation planning, and particularly relates to a vascular intervention surgical robot automatic navigation system and method based on artificial intelligence. According to the method, the influence of the respiratory rhythm of a patient on the blood vessel deformation is introduced, and the blood vessel structure reference datum changing along with the respiratory cycle is generated by recognizing the blood vessel center line and the lumen boundary in real time and dynamically compensating, so that the limitation of static image navigation is effectively overcome, and the adaptability to the dynamic change of the blood vessel in the operation is realized; meanwhile, the real-time blood flow velocity is vectorized, space registration is conducted on the real-time blood flow velocity and a blood vessel structure reference datum, a composite surgical navigation view providing visual advancing guidance for a robot is formed, and in addition, interaction feedback information is constructed by collecting the contact stress of a guide wire and the blood vessel wall and blood vessel wall stress distribution in real time; and carrying out quadratic programming on the motion trail on the basis, and realizing dynamic path optimization under the mechanical safety constraint through stress damage risk assessment and construction of a local obstacle avoidance potential field.

The invention provides a breathing exercise device, which comprises a main cavity, a main body, an auxiliary cavity and an auxiliary body, wherein an opening communicated with the outside is formed in the lower end; the sliding piece is installed in the main cavity in a sealed and sliding mode; the lower side of the air suction cavity is connected with the main cavity, and an air suction floating ball is arranged in the air suction cavity; the upper side of the expiration cavity is connected with the main cavity, and an expiration floating ball is arranged in the expiration cavity; the flow dividing mechanism is arranged on the inner side of the main cavity and divides the main cavity into two cavities, when inhaling is conducted through the inhaling cavity, the flow dividing mechanism can exhaust air stored in the cavity on the side connected with the exhaling cavity, and when exhaling is conducted through the exhaling cavity, the flow dividing mechanism can inhale air from the outside and store the air in the cavity on the side connected with the inhaling cavity. The technical problems that in the prior art, breathing circulation exercise cannot be conducted for a long time, and the breathing gas capacity cannot be accurately detected at the same time can be solved.

Systems and methods for accurate determination of the position of an anatomic part of a subject in robotic assisted image-based surgery, using an inertial measurement unit (IMU) to determine the position and orientation of the anatomical part of the subject. The intrinsic drift of the IMU, which would make the IMU position measurements inaccurate, can be reset to zero regularly, at points of time when the subject's body is stationary. This can be achieved when motion from the subject's breathing and from the heartbeat are essentially zero. Such positions occur respectively when the respiratory signal shows the position of the breathing cycle to be at the end of the expiration phase, and the heartbeat signal represents a time in the diastole period of the subject's electrocardiographic cycle. When these two signal moments coincide, the IMU is essentially stationary, and its drift reset to zero.

The application relates to the technical field of three-color lamp breathing effect control, and discloses a three-color lamp breathing effect control method, device, equipment and storage medium, the method comprises the following steps: obtaining breathing cycle configuration parameters of a target color channel; determining a breathing curve function of luminance changing with time based on the breathing cycle configuration parameters, wherein the breathing curve function comprises a luminance rising section and a luminance falling section; polling a current time point according to a preset time reference, determining a pulse width modulation duty cycle value of a current cycle according to a phase position of the current time point in the breathing cycle and the breathing curve function; generating a control signal according to the pulse width modulation duty cycle value, and performing breathing effect control on a light-emitting unit corresponding to the target color channel based on the control signal. The application can realize smoother breathing luminance change and obtain smooth breathing effect by constructing a continuous breathing curve function and calculating the duty cycle in real time based on the time phase.

The invention relates to the technical field of image processing, provides an image registration method, device and system and a storage medium, and can provide anatomical structure information with a wider imaging view field in an operation. The method comprises the following steps: acquiring a non-real-time preoperative image in a wide imaging view field and a real-time intra-operative image in a narrow imaging view field; when the real-time preoperative graph belongs to the first respiratory cycle, adjusting the value of the weight capable of being optimized in the deformation field statistical shape model based on respiratory movement to obtain a target deformation field to register the non-real-time preoperative graph and the real-time preoperative graph, obtaining registration related information according to the target value of the weight capable of being optimized for obtaining the target deformation field, and obtaining the real-time preoperative graph according to the registration related information. Obtaining an association relationship between the registration related information and a breathing state corresponding to the real-time intra-operative graph; when the real-time intra-operative graph belongs to a non-first respiratory cycle, registration related information associated with the respiratory state corresponding to the real-time intra-operative graph is obtained based on the association relationship, and the non-real-time pre-operative graph and the real-time intra-operative graph are registered according to the registration related information and the deformation field statistical shape model.

The invention is suitable for the technical field of breathing machines, and provides a breathing machine inspiration time compensation method and device, intelligent equipment and a storage medium. The method comprises the steps that the original inspiration time and the original inspiration flow peak value of the current breathing cycle of a patient are obtained; a sine flow change model is constructed according to the original inspiration time, the original inspiration flow peak value and a preset inspiration trigger flow threshold value, and compensation time is calculated based on the sine flow change model; and updating the original inspiration time according to the compensation time to obtain actual inspiration time. The method can improve the statistical precision of the inspiration time, improves the adaptability and reliability of the breathing machine to a dynamic breathing scene, assists a doctor in optimizing a ventilation strategy, and improves the treatment effect.