43 results about "Respiration rate" patented technology

The invention discloses a poplar degenerated forest stand accurate restoration method, and relates to the technical field of poplar degenerated forest stand restoration, and the method comprises the steps: obtaining a multi-temporal satellite remote sensing image and an unmanned plane multi-spectral image of a target area; in combination with soil moisture content, rhizosphere respiration rate and micrometeorological data collected by ground Internet of Things sensing nodes arranged in a forest stand, geographic coordinate registration and time sequence alignment are performed on the data to form a multi-source observation data set; the method comprises the following steps: extracting vegetation indexes, short-wave infrared reflectivity, soil moisture and rhizosphere physiological parameters based on a multi-source observation data set, constructing a degradation diagnosis index fusing spectral change, moisture stress and root activity, calculating the degradation degree of each pixel, and generating a degradation level spatial distribution diagram; the area with the degradation degree reaching a set threshold value is determined as a to-be-repaired area; and selecting representative poplar individuals in the to-be-repaired area, measuring the photosynthetic ability of the individuals, and calculating the individual competition intensity in combination with the three-dimensional point cloud data.

The invention discloses a modified atmosphere preservation system and method, and aims to improve the preservation suitability of vegetables of different categories and different maturity degrees. The modified atmosphere preservation system comprises a refrigeration house, the in-warehouse sensing unit is used for collecting environmental data in the refrigeration storage in real time; the outside-refrigeration-house sensing unit is used for collecting outside-refrigeration-house environment data in real time; the respiration rate prediction unit performs fruit and vegetable respiration rate prediction calculation according to the environmental data in the refrigeration house; and the set point vector calculation unit is used for performing system energy consumption prediction calculation based on the cold storage external environment data and the cold storage internal environment data, performing optimal solution calculation of the comprehensive optimization index according to an energy consumption prediction calculation result and a fruit and vegetable respiration rate prediction calculation result, and performing optimal solution calculation of the comprehensive optimization index according to an optimal solution calculation result of the comprehensive optimization index. Outputting an optimal environment parameter set point vector; the decoupling compensation unit is used for performing error calculation according to the in-library environment data and the optimal environment parameter set point vector; and the PID control unit is used for generating a control signal according to an error calculation result.

In some examples, a non-transitory computer-readable medium stores executable code, which, when executed by a processor, causes the processor to receive a video of at least part of a human torso, use a neural network to produce multiple vector fields based on the video, the multiple vector fields representing movement of the human torso, and determine a respiration rate of the human torso using the multiple vector fields.

The invention discloses a determination method for acquiring a denitrification rate based on river dissolved oxygen high-frequency monitoring. The determination method comprises the following steps: S1, constructing a dynamic response model of the river denitrification rate to heterotrophic respiration; s11, carrying out in-situ high-frequency DO observation on different types of rivers, collecting a water sample, and measuring the concentrations of dissolved N2 and O2 in the collected water sample by adopting an MIMS technology; s12, on the basis of the O2 concentration data, the river heterotrophic oxygen respiration rate is calculated through an O2 mass balance model; s13, based on the N2 concentration data, calculating the river denitrification rate through an N2 mass balance model; s14, fitting the obtained series of heterotrophic respiration rates with the denitrification rate to obtain a dynamic response model between the denitrification rate and heterotrophic respiration; and S2, based on field real-time high-frequency monitoring dissolved oxygen observation data, simulating the river denitrification rate through the constructed dynamic response model. According to the invention, the problems that the traditional denitrification rate measurement cost is high and real-time continuous monitoring cannot be realized are solved, and in-situ, real-time and high-frequency monitoring of the denitrification rate is realized.

The present application relates to a kind of new air system and control method based on plant and personnel metabolism coupling, the method comprises: according to indoor plant state and personnel metabolism design the maximum fresh air volume and minimum fresh air volume of new air system;Based on minimum fresh air volume, the minimum light intensity of pre-set system is corrected plant net photosynthetic rate and respiration rate to new air system debugging;Based on pre-set minimum light intensity, the plant net photosynthetic rate and respiration rate of corrected, and personnel quantity fluctuation dynamic adjustment fresh air volume;Combining the real-time fresh air volume of new air system carries out feedback type minimum light intensity adjustment, plant net photosynthetic rate and respiration rate back calculation, and dynamic adjustment of fresh air volume.The new air system and control method of the present application, according to indoor CO2 concentration, photosynthetic active radiation intensity and personnel quantity are comprehensively regulated as needed, and carry out feedback type plant net photosynthetic rate analysis and fresh air volume as needed calculation, real-time control new air system, accurate regulation of new air system is realized.

The application discloses a wearable device and a monitoring method and a monitoring device thereof. The monitoring method comprises the following steps: acquiring an acceleration signal and a photoplethysmography (PPG) signal of the wearable device; calculating an activity amount based on the acceleration signal; extracting a respiration signal of an acceleration channel and a respiration signal of a PPG channel from the acceleration signal and the PPG signal respectively, and calculating a respiration rate and a signal quality based on the respiration signal of the acceleration channel and the respiration signal of the PPG channel in combination with a reference respiration rate; and determining an output respiration rate based on the activity amount, the respiration rate and the signal quality, so as to realize respiration monitoring. Thus, the method realizes joint tracking of the respiration rate based on the acceleration signal and the PPG signal, thereby realizing respiration monitoring in daily work and life.

The invention discloses a livestock respiratory rate estimation method, and relates to the technical field of animal health monitoring. The method comprises the following steps: collecting a livestock lung sound stream, segmenting into segments according to a fixed window length, and carrying out initial noise reduction; framing endpoints of the segments are detected, starting points and ending points of inspiration segments are marked, and after a sequence is obtained, a small subset and a large subset are divided according to the number of the inspiration segments; screening the effective inspiration section by using the expiration average duration time in the less set, and screening the effective inspiration section by using the difference value between the time interval of two adjacent inspiration sections and the expiration average duration time and the standard difference value in the more set; after the effective inspiration sections are screened out, the breathing frequency is calculated according to the ratio of the time interval between the head and tail inspiration sections of the target section to the number of effective breathing cycles. The accuracy of livestock respiratory rate detection can be effectively improved.

According to the rice field carbon emission reduction and yield increase synergistic system and method, EC11 bacteria inhibit methane bacteria by occupying ecological niche, and micromolecule water treated by fullerene not only optimizes the soil microenvironment (the volume weight is reduced by 12%), but also can promote the metabolic activity of the EC11 bacteria (the respiration rate is increased by 25%) to form 1 + 1gt; and 2, the synergistic effect is achieved. Meanwhile, a carbon monitoring and trading system is pre-embedded into a planting process, and a'planting and trading 'mode of paddy field carbon assets is realized for the first time.

Methods and apparatus for measuring biometric data including temperature in head-mounted devices (HMDs). Thermal sensors may also be integrated into the HMD and used to collect thermal data from the surface of the user's face. This thermal data may, for example, be processed to determine core body temperature of the user, or be processed to generate estimates of the user's respiration. The temperature data and / or respiration rate and changes to respiration rate derived from signals from the sensors may be used to generate and present biometric data to the user.

A system for measuring long-distance respiration rate is provided. The system includes a processing unit configured to receive and normalized a sensor output signal. The processing unit is further configured to compute a series of four Discrete Prolate Spheroid window functions. For each of the series of four Discrete Prolate Spheroid window functions, the processing unit is configured to (1) multiply the normalized sensor output signal by the Discrete Prolate Spheroid window function to produce a windowed output signal, and (2) compute a Lomb-Scargle periodogram based on the windowed output signal. The processing unit is further configured to compute a weighted average of the Lomb-Scargle periodograms to produce an averaged periodogram. The processing unit is further configured to compute a frequency corresponding to a peak estimated spectral density on the averaged periodogram. The processing unit is further configured to output breaths per minute data based on the frequency.

The invention provides a method and system for detecting the carbon utilization rate of microorganisms based on a microwell plate respiratory system, and the method comprises the following steps: pre-culturing target microorganisms, and confirming the logarithmic growth phase of the target microorganisms; the method comprises the following steps: inoculating target microorganisms into a plurality of deep holes of a microporous plate respiratory system for culture, wherein each deep hole in the microporous plate respiratory system comprises a bacterial liquid containing a specified carbon source; detecting the initial biomass in the bacterial liquid and the initial carbon dioxide value in the microplate respiratory system at the beginning of culture, and detecting the final biomass in the bacterial liquid and the final carbon dioxide value in the microplate respiratory system at the end of culture; calculating the growth rate of the target microorganisms according to the initial biomass and the end biomass; calculating the respiration rate of the target microorganism according to the initial carbon dioxide value, the end carbon dioxide value and the growth rate; and calculating the carbon utilization rate of the target microorganism according to the growth rate and the respiration rate. The problem that the carbon utilization rate of species level microorganisms is difficult to obtain is solved.

The invention relates to an apparatus for determining a respiration rate of a subject. A pressure signal providing unit provides a measured pressure signal of a subject over a time, wherein the measured pressure signal is indicative of blood pulsations and comprises a plurality of pressure pulses, and a processor determines, for a respective pressure pulse of the plurality of pressure pulses (9), a respective dicrotic notch position and determines the respiration rate based on the dicrotic notch positions determined for the plurality of pressure pulses (9). This allows for a very accurate determination of the respiration rate.

The invention relates to a device, system and method for determining a respiration rate of a subject. The presented device comprises an input interface for obtaining a red and / or infrared photoplethysmography, PPG, signal, a feature signal unit configured to extract a first feature sequence from the PPG signal and to generate a first feature signal from the feature sequence, a resampling unit configured to resample the first feature signal with a resampling function to produce a resampled signal with a constant sampling rate and / or to resample a first derivative to produce a resampled first derivative with a constant sampling rate, a transformation unit configured to compute a Fourier transform of the resampled signal to produce a transformed resampled signal or to compute a Fourier transform of the resampled first derivative to produce a transformed resampled first derivative, and an extraction unit configured to extract a first respiration rate from the transformed resampled signal or from the transformed resampled first derivative, wherein the first feature sequence is a sequence of phases of a first harmonic of a heart beat of the subject with respect to a start of the heart beat, and wherein the first feature signal corresponds to the sequence of phases.

An interface receives a signal corresponding to a waveform of physiological information involving cyclic changes from a sensor attached to a subject. A processor causes, in response to the signal, an output device to output information corresponding to an estimated value of a respiration rate of the subject. The processor extracts multiple feature quantities corresponding to respiration of the subject from the signal included in each of multiple time slots. The processor applies frequency analysis processing with respect to each of the feature quantities to acquire multiple preliminary estimation values of the respiration rate. The processor determines the estimated value based on a mode value of the preliminary estimation values.

Provided are a biological information generation system, a biological information generation method, and a program that make it possible to accurately measure biological information such as the respiration rate and heart rate of a subject. A Doppler sensor control unit (30) controls the position of a Doppler sensor (15) such that the Doppler sensor (15) is disposed at one of a plurality of predetermined candidate positions. A reliability calculation unit (36) calculates, for at least one candidate position, the reliability of biological information obtained from Doppler data indicating a measurement result measured by the Doppler sensor (15) disposed at the candidate position, on the basis of the Doppler data. A determination unit (38) determines the measurement position from among the plurality of candidate positions on the basis of the reliability calculated for the at least one candidate position. The biological information generation unit (40) repeatedly executes processing for generating biological information of the measurement subject on the basis of Doppler data indicating a measurement result measured by the Doppler sensor (15) disposed at the measurement position.

A breathing rate estimation system includes at least one radar type sensor installed in a monitoring area, an information processing device configured to execute person detection processing of acquiring sensor data output from the sensor and detecting a person present in the monitoring area using the acquired sensor data and breathing rate estimation processing of estimating a breathing rate of the person, and a display device configured to display the breathing rate of the person estimated in the breathing rate estimation processing. The information processing device determines whether the person is in a specific state based on a detection result of the person by the person detection processing, and executes the breathing rate estimation processing when it is determined that the person is in the specific state.

A method includes obtaining at least one breathing audio sample of a user captured using earbuds worn by the user. The method also includes converting the at least one breathing audio sample to a breathing spectrogram configured as an image. The method further includes processing the breathing spectrogram using a trained multi-task convolutional neural network (CNN) to identify a breathing rate and a breathing depth of the user. In addition, the method includes outputting the breathing rate and the breathing depth of the user.

The application provides a respiration rate detection method and device applied to oxygen therapy equipment, and relates to the technical field of medical equipment. The method comprises the following steps: obtaining a target flow signal set of a target oxygen therapy equipment, and standardizing target flow signals in the target flow signal set; performing Fourier transform on the standardized target flow signals to obtain a target amplitude-frequency signal; determining a first target frequency corresponding to a first target amplitude peak in a preset frequency range of the target amplitude-frequency signal, and determining a corresponding first target respiration frequency range according to a first target respiration rate range of the target oxygen therapy equipment; determining whether a target user accesses the target oxygen therapy equipment according to the first target frequency and the first target respiration frequency range; when it is not determined whether the target user accesses the target oxygen therapy equipment, performing baseline drift detection, interference detection and frequency multiplication detection on the target amplitude-frequency signal in sequence, and determining a second target respiration rate and outputting according to the detection result. The application can reduce the false detection probability.

To count a breathing rate properly.SOLUTION: A breathing rate counting device (10) includes: acquisition means (11) for acquiring biological sound information including a breathing sound; generation means (12) for generating a frequency spectrum from the biological sound information; and calculation means (12) for calculating a breathing rate by specifying a peak corresponding to breathing from the frequency spectrum on the basis of an intensity threshold that is determined in accordance with one or more peak frequencies included in the frequency spectrum.SELECTED DRAWING: Figure 1

The invention discloses a marine container nuclear track membrane fresh-keeping method which comprises the following steps: S1, respiration characteristic analysis and parameter determination: respiration characteristic parameters of goods to be transported are obtained, and the respiration characteristic parameters at least comprise the respiration rate of the goods under the aerobic condition, the respiration rate of the goods under the anaerobic condition and the ethylene release rate; and determining a target gas regulation and control range and a nuclear track membrane aperture parameter matched with the cargo type based on the breathing characteristic parameter and in combination with a basic fresh-keeping temperature of the cargo. And through the collaborative design of breathing characteristics, aperture parameters and installation layout, the precision of gas regulation and control is realized. The aperture of the nuclear track membrane is customized on the basis of parameters such as the cargo breathing rate and the ethylene release amount, the high selectivity of the monodisperse aperture of the nuclear track membrane is combined, O2 in the container can be stably controlled to be 2%-8%, CO2 can be controlled to be 3%-12%, ethylene is smaller than or equal to 0.1 ppm, the gas fluctuation range of the container is narrowed by 60% compared with that of a traditional controlled atmosphere container, and the breathing effect and the ethylene ripening effect are remarkably reduced.

The present application relates to the field of intelligent breeding and livestock house environment control, and particularly relates to a livestock house environment regulation method based on non-contact livestock and poultry respiration rate measurement. The method acquires synchronous visible light image sequences, synchronous thermal imaging image sequences, environment parameter data and regulation device operation state data of each environment regulation partition in the livestock house; identifies livestock and poultry individuals and determines nose measurement areas and chest and abdomen measurement areas; determines individual respiration rates based on nose thermal plume periodic changes and chest and abdomen periodic displacements; determines target subgroups and reference subgroups according to individual respiration rate deviation degrees; executes a trial regulation sequence on candidate regulation devices, acquires respiration rate change amplitudes, effective time delays and recovery processes, and constructs a respiration response matrix; and then determines formal regulation combinations and their execution sequences according to the respiration response matrix, environment parameters, operation boundaries and resource consumption constraints, and updates the respiration response matrix in a verification period. The method is suitable for livestock house scenes such as dairy cow houses, pig houses and poultry houses.

This invention relates to the fields of environmental science and engineering, materials science, and water quality monitoring. Specifically, it discloses a method for assessing the self-purification capacity of rivers and lakes based on silk strips, comprising: S1, selecting experimental materials and preparing silk strips; S2, placing the silk strips in situ in river or lake water; S3, recovering the silk strips and determining their DOM (degradation by microorganisms) degradation capacity. The silk strips are cultured in the river or lake for 4 weeks before being recovered, and the recovered silk strips are divided into three parts for weight loss, tensile strength, and respiration rate measurements; S4, laboratory testing and analysis of DOM degradation capacity. The technical solution proposed in this invention can accurately reflect the self-purification capacity of rivers and lakes under complex natural environments. The silk strips used are easily decomposed by microorganisms and light, making it more environmentally friendly. The method is simple, low-cost, and widely applicable.

The invention discloses a video-based non-contact respiratory rate measurement method. According to the method, a reasonable and effective respiratory rate detection framework is constructed. The frame comprises three core modules: a self-adaptive edge enhancement module used for solving high-quality angular point selection of a long-distance low-pixel ROI region, a self-adaptive signal quality evaluation module used for preventing performance reduction caused by blind denoising, and a multi-strategy fusion self-adaptive noise removal module used for continuous motion removal and based on signal characteristics. According to the framework, SOTA is obtained through verification on three data sets, the excellent performance of the framework is shown, and the feasibility that a non-contact physiological signal detection technology is popularized to a wider and universal application scene is promoted.

The application discloses a kind of non-contact human respiratory rate measurement methods based on video and frequency modulation continuous wave radar information fusion, comprising:1 respectively processes video and radar bimodal data to obtain pixel motion trajectory and distance angle chart time sequence;2 video measurement part uses spectral subtraction and principal component analysis technique to carry out pretreatment, radar measurement part uses static clutter removal and average filtering technique to carry out pretreatment, two kinds of modal all use empirical mode decomposition technique to carry out single modal measurement;3 feature level fusion, after bimodal signal using multivariate singular spectrum analysis extraction shared respiratory signal is pretreated;4 decision level fusion, according to the signal-to-noise ratio weighted frequency domain estimation value summation of feature level fusion result and single modal measurement result obtains final measurement result.The application can measure respiration under a variety of spontaneous motion scene, measurement result is compared with single modal method and has significant improvement, can effectively expand the application range of video and radar fusion measurement.

The present application aims at providing a sludge respiration rate online monitoring system to solve the problems in the prior art that the measurement accuracy is susceptible to aeration interference, the automation degree is low, the total sludge concentration cannot be accurately converted into the active sludge concentration, and the calculation model lacks dynamic parameter correction, etc. The present application adopts a large and small double SBR reactor structure, combines time sequence logic control and integrated electrode detection, and aims at realizing an online monitoring system with high measurement accuracy, high automation degree and calculation results more in line with the actual sludge activity.

The invention relates to the technical field of evaluation, and discloses a method and a system for analyzing the influence of an ocean engineering construction project on an ecological environment, which introduces three key parameters in the ocean environment: solubility, suspended sediment concentration and species richness on the basis of an existing improved group AHP-FCE evaluation model. And three groups of upper and lower limits and an intermediate value are calculated based on the parameters, so that a more accurate membership interval is constructed. Compared with a traditional method which only depends on subjective evaluation of experts, the method has the advantages that the solubility coefficient is calculated by introducing multiple dynamic factors including illumination fluctuation, temperature fluctuation and respiratory rate fluctuation, the adjustment coefficient is calculated by considering the water depth variation and the suspended sediment concentration variation, and scientificity and accuracy of the membership interval are remarkably improved.

The application relates to the technical field of indoor environment regulation, and discloses an indoor environment personalized regulation method fusing human physiological parameters, which acquires the heart rate, the respiration rate and the body surface temperature distribution of a user through a millimeter wave radar and infrared thermal imaging, establishes an individual physiological benchmark library and constructs a personalized utility function; and introduces a Fanger thermal comfort equation for constraint through a physical information neural network; triggers feedforward control when there is a risk of decline in the thermal comfort index, determines a target control parameter adjustment instruction in combination with Bayesian optimization and executes; and continuously updates the physiological parameters and the utility function, thereby forming a closed-loop personalized regulation process. The application extracts the heart rate, the respiration rate and the body surface temperature distribution by fusing millimeter wave radar data and infrared thermal imaging data, and predicts the thermal comfort index in combination with environmental parameters, so that the indoor environment regulation no longer depends on environmental sensor feedback, thereby solving the problem that the human physiological state is neglected in the prior art.

The invention provides a respiration rate and heart rate measuring method based on millimeter-wave radar amplitude and phase information fusion, and relates to the technical field of millimeter-wave radar signal processing.The method comprises the steps that amplitude information data and phase information data of millimeter-wave radar human body echo signals are obtained; preprocessing the phase information data and the amplitude information data to respectively obtain normalized phase information data and normalized amplitude information data; performing cancellation processing on the normalized phase information data and the normalized amplitude information data to obtain heartbeat signals; performing weighted summation on the normalized phase information data and the normalized amplitude information data to obtain a respiratory signal; and filtering the heartbeat signal and the respiration signal, and analyzing the time interval of adjacent maximum value points to respectively obtain a real-time heart rate and a real-time respiration rate so as to complete the measurement of the respiration rate and the heart rate. According to the invention, the problems of insufficient accuracy, stability and anti-interference capability of heart rate and respiratory rate measurement are solved.

The invention relates to the technical field of determination of plants and crops, in particular to a plant respiration rate testing method. Comprising the following steps: dividing plant respiration observation stages; organ separation; constructing a plant respiration rate measuring system; measuring the plant respiration rate; measuring the water content of the plant sample; calculating the respiration rate of unit biomass; and predicting the plant respiration rate. According to three conditions of tobacco growth period characteristics, biomass and temperature, the respiration rate of the whole plant and each organ in the current state can be evaluated.

The application discloses a breathing frequency estimation method and device, electronic equipment and storage medium. The method comprises the following steps: acquiring a radar echo signal; processing the radar echo signal to obtain a range-angle spectrum; performing target human body detection on the range-angle spectrum to obtain a target point cloud spectrum; determining the number of target human bodies and the range-angle range of target human body clusters by using the range and angle of the density spectrum in the target point cloud spectrum; determining the chest cavity range of the target human bodies based on the range-angle range of the target human body clusters, and extracting the signals in the chest cavity range of the target human bodies to obtain potential breathing phases of the target human bodies; screening the potential breathing phases of the target human bodies to determine a candidate breathing phase group; and processing the candidate breathing phase group according to the number of target human bodies to determine the breathing frequency corresponding to the number of target human bodies. According to the technical scheme, the corresponding breathing frequency can be calculated in real time according to the number of people.