13 results about "Tidal volume" patented technology

This invention provides a non-contact method, device, equipment, and storage medium for measuring trunk respiratory parameters. It synchronously acquires three-dimensional motion data of optical reflective markers during respiration, with these markers positioned at multiple pre-defined anatomical landmark locations on the subject's trunk. Based on the three-dimensional motion data, it determines the volume change of the spatial envelope formed by the optical reflective markers. According to a pre-established mapping relationship between the volume change and tidal volume, it converts the volume change into tidal volume. Based on the signal of the volume change over time, it extracts the respiratory rate. Finally, it calculates the total respiratory volume based on the tidal volume and the respiratory rate. By combining optical motion capture with spatial geometric modeling, it achieves non-contact, continuous, and high-precision measurement of trunk respiratory motion, effectively overcoming the shortcomings of traditional methods, such as reliance on patient cooperation, invasiveness, expensive equipment, and complex operation.

This invention belongs to the field of particulate matter toxicity assessment for environmental health, and discloses a health risk assessment method based on the respiratory tract deposition rate of particulate matter of different sizes and its application. The method collects the concentrations of toxic benzene series compounds and naphthalene in human exhaled breath and atmospheric particulate matter of different sizes in the environment; detects human tidal volume and respiratory rate to obtain minute ventilation. Then, using the ICRP model combined with Python software to process the data, the respiratory tract deposition fractions of benzene series compounds and naphthalene in different regions of the human respiratory tract are obtained. Finally, the respiratory tract deposition amount is obtained based on the respiratory tract deposition amount formula, and the deposition rate of benzene series compounds and naphthalene in the human respiratory tract is obtained by dividing the respiratory tract deposition amount by time. This method is simple, fast, and highly accurate, effectively exploring the deposition rate of toxic components in different particle sizes of particulate matter in the main parts of the human respiratory tract and corresponding health risk assessment, which is of great significance for health exposure to environmental pollutants.

This invention relates to the field of medical device technology, and in particular to a drive control method and system for respiratory motion simulation. The method includes: acquiring respiratory parameters, including target tidal volume, respiratory rate, inspiratory-expiratory ratio, and waveform pattern, through a host computer and transmitting them to a main control unit; the main control unit runs a respiratory clock, determines the respiratory cycle based on the respiratory rate, and divides the cycle into inspiratory and expiratory phases based on the inspiratory-expiratory ratio; then, calculates the theoretical tidal volume in real time based on the current time and waveform pattern; calculates the reference speed based on the tidal volume change rate; simultaneously acquires the current mechanical load state of the simulation device and the corresponding compensation coefficient; dynamically corrects the reference speed using the compensation coefficient to generate a target speed command; finally, controls the motor to run according to the command, and monitors the current or stall signal in real time during operation; when the signal exceeds the limit, controls the motor to stop or adjust, thereby achieving high-precision, high-load adaptability, and high-safety respiratory motion simulation.

This invention discloses a method for estimating airway resistance and compliance. The method includes: acquiring multiple sets of sampled data and acquiring a preset discrete nonlinear airway resistance model. Each set of sampled data includes airway pressure, total flow rate, and tidal volume sampled at a single sampling time. Based on the multiple sets of sampled data and a pre-established parameter update model, preset parameters in the discrete nonlinear airway resistance model are solved to obtain parameter values. Based on the parameter values ​​and the substitution relationships between the preset parameters and linear airway resistance, nonlinear airway resistance, and lung compliance, linear airway resistance, nonlinear airway resistance, and lung compliance are solved. The linear airway resistance and lung compliance are used to effectively control the ventilation modes of anesthesia machines and ventilators to suit various usage situations for different users. Furthermore, devices, equipment, and media for estimating airway resistance and compliance are also proposed.

This invention relates to the interdisciplinary field of computer image detection and biomedical engineering, and discloses a method and system for respiratory motion monitoring based on Kinect. The method includes: simultaneously acquiring Kinect 3D point cloud sequences and bioimpedance time-series data; extracting first and second respiratory signals respectively; evaluating Kinect signal quality in real time, and generating continuous respiratory waveforms using a main signal output or dynamic weighted fusion strategy under non-interference, interference, and transitional states respectively; and calculating respiratory rate, relative rate of change of tidal volume, and rhythm variation coefficient. The system includes a Kinect sensing unit, a bioimpedance measurement unit, a signal processing and fusion unit, and a respiratory parameter calculation unit. This invention significantly improves the robustness and reliability of respiratory monitoring in complex scenarios through dual-modal redundant sensing and adaptive fusion mechanisms.

This invention relates to a ventilation detection device for patients with myasthenia gravis based on testing and detection, comprising: a muscle strength monitoring module, including an electromyography (EMG) sensor for acquiring EMG signals and calculating a muscle strength index; a respiratory monitoring module, connected to a mechanical ventilation device, for acquiring the patient's respiratory rate, tidal volume, and inspiratory time parameters; a blood detection module for collecting blood samples from the patient and detecting the levels of inflammatory factors and anti-acetylcholine receptor antibodies in the blood; and a control module for receiving muscle strength index data, respiratory parameter change trend data, and blood detection data; when the muscle strength index is lower than a preset first threshold, the respiratory parameter change trend is inconsistent with a preset pattern, and the levels of inflammatory factors or anti-acetylcholine receptor antibodies in the blood are higher than a preset second threshold, patient-ventilator resistance is determined to exist during ventilation.

This invention relates to a ventilation control system, comprising a control unit capable of generating control signals for adjusting the operating parameters of a ventilator. The control unit is capable of determining a normal control scheme in the following manner: determining several influencing parameters; inputting the determined influencing parameters into an established lung model to calculate the respiratory rate; calculating the inspiratory and expiratory times using the respiratory rate; calculating the tidal volume using the respiratory rate and determining the corresponding normal control scheme according to the calculated tidal volume, wherein the initially determined normal control scheme is used as the initiation scheme; and iteratively optimizing the respiratory rate to calculate the inspiratory time, expiratory time, and tidal volume of the next sequence, thereby updating the normal control scheme.

The application discloses a kind of infant anesthesia respiratory depression early warning system and method based on multi-modal fusion, it is related to data processing technical field, including: collection respiratory impedance signal, electrocardiogram signal, end-tidal carbon dioxide waveform, tidal volume, airway pressure, anesthetic drug real-time concentration and operation phase marker;According to the interval of continuous R wave in electrocardiogram signal, calculate instantaneous heart rate, construct the comb notch filter with instantaneous heart rate as base frequency, and filter respiratory impedance signal to obtain artifact-free respiratory signal;Based on artifact-free respiratory signal, tidal volume and airway pressure, calculate respiratory rhythm characteristics, generate rising branch slope, plateau oscillation value and alpha angle value by end-tidal carbon dioxide waveform;According to the stimulation intensity coefficient mapped by anesthetic drug real-time concentration and operation phase marker, calculate drug-stimulation balance index;The application realizes the early perception and dynamic early warning of respiratory depression risk during infant anesthesia.

A breathing monitor has ECG, PPG, or bioimpedance sensors feeding a neural network to provide inspiratory and expiratory phases of breathing and tidal volume (TV), filters for the inspiratory and expiratory phases of breathing and TV; and apparatus configured to provide measurements of breathing rate (RR), and fractional inspiratory time (FIT). In embodiments, the device uses the RR, FIT, and TV to estimate spirometric parameters such as lung obstruction severity, forced expiratory volume in one second (FEV1), forced expiratory volume (FEV), forced vital capacity (FVC), FEV1 / FEV ratio, and FEV1 / FVC ratio. A method of determining a classification of lung obstruction from heart signals includes feeding heart signals into a neural network to determine TV and inspiratory and expiratory classes used to determine FIT and RR; and using FIT, RR, and TV to determine lung obstruction classification of mild, moderate, severe, or very severe obstructive symptoms.

The utility model discloses a flow sensor and medical equipment. The flow sensor comprises a diaphragm and two shells, the shell comprises a free end and a connecting end; the shell is provided with an airflow channel and a sampling hole, and an extension piece is convexly arranged at the top of the inner wall surface of the shell and extends towards the center of the airflow channel; the sampling hole penetrates through the extension piece and the shell and is communicated with the airflow channel; a first protrusion is arranged on the side, away from the inner wall face of the shell, of the extending piece in a protruding mode, the first protrusion is located around the sampling hole, and the position of the first protrusion is lower than that of the sampling hole. The diaphragm is provided with a gap; the diaphragm is arranged between the two shells, the two opposite sides of the diaphragm are attached to the connecting ends of the two shells respectively, and the gap communicates with the airflow channels of the two shells. When the air flows into the sampling hole through the air flow channel, moisture carried by the air is condensed to the first bulge, so that the condensed water is prevented from blocking an inlet of the sampling hole and influencing the accuracy of a monitored value, and the control precision of the tidal volume is improved.

A system for reducing the risk of overventilating a subject in need of ventilation includes a ventilation assembly comprising a ventilation bag, a patient interface and an automatic flow reduction valve configured to impede flow to a subject wearing the ventilation bag when a pressure or flow rate in a flow path from the bag to the subject exceeds a maximum threshold value. A ventilation sensor positioned in or near to the flow path is configured to measure the pressure or flow rate in the flow path. The ventilation assembly is configured to communicate via a user interface or a communicably coupled device with a display at least one signal related to a maximum tidal volume determined based on signals from the ventilation sensor.