174 results about "Respiratory frequency" patented technology

The invention relates to the technical field of medical health information, and particularly discloses a heart rehabilitation training control method based on muscle force and electrocardiosignal real-time monitoring, which comprises the following steps: firstly, calculating real-time myoelectricity intensity to quantify muscle load, synchronously analyzing electrocardiosignals and respiratory frequency to obtain a cardiopulmonary state, and correcting physiological indexes in combination with a trunk motion state; then, a multi-parameter fusion result is generated through a weighted fusion algorithm, and the relevance between the muscle force load and the heart response is comprehensively reflected; then, the system judges the training intensity through a preset threshold model, generates a voice feedback instruction in real time to adjust the action of the patient, and adaptively updates training parameters to match the rehabilitation progress of the individual; meanwhile, the system continuously monitors multi-parameter changes, and automatically triggers an early warning mechanism when abnormal risks are detected, so that training safety is ensured. According to the method, the limitation that a traditional scheme depends on a single index is overcome, and personalized and dynamic heart rehabilitation training closed-loop control is achieved.

The invention discloses an oxygenerator remote control system and method based on the Internet of Things, and belongs to the technical field of intelligent medical equipment and remote health management, and the method comprises the steps: S1, collecting multi-dimensional physiological data of a user in real time through a multi-source physiological signal collection module, a heart rate variability index and a body movement signal; s2, based on the multi-dimensional physiological data, processing is performed through a preset physiological state prediction model, and a unified physiological stress index is solved; s3, determining a predictive oxygen supply flow rate value in combination with the physiological stress index and a preset user basic oxygen supply flow rate; s4, according to the predictive oxygen supply flow velocity value, a control signal for a physical execution component of the oxygen generator is generated so as to dynamically adjust oxygen supply parameters, and conversion from passive compensation to active prediction is achieved.

The invention discloses an adjustable blood transfusion reaction monitoring system. The system comprises a multi-mode physiological signal acquisition module, a data processing and analysis module, a user interaction and parameter configuration interface, a wireless communication module, an alarm and feedback module and a power management module. By integrating an electrocardiogram (ECG) sensor, an oxyhemoglobin saturation (SpO2) detection probe, a non-invasive blood pressure measuring device, a body temperature sensor, a respiratory rate monitor and a skin impedance change sensor, real-time acquisition of various physical parameters is realized; a rule-based threshold judgment model and a time sequence prediction model are built in the data processing and analysis module, and the data processing and analysis module is used for identifying potential blood transfusion reaction risks; and the user interaction and parameter configuration interface provides a touch display screen and remote terminal equipment to realize information input, data display and operation recording. Continuous dynamic monitoring, intelligent early warning and graded response in the blood transfusion process are achieved, blood transfusion safety and nursing efficiency are improved, and the system has wide clinical application prospects.

The invention relates to a self-adaptive sleep assisting method, system and device based on multi-mode perception and a medium. The method comprises the steps of performing seasonal correction based on latitude and longitude coordinates, constructing a dynamic rhythm curve, and obtaining user portrait data and real-time multi-source data; performing Kalman filtering fusion on the respiratory frequency signal and the vibration spectrum to generate a fused sleep staging result, performing classification processing on the original audio data, and generating a noise type label and duration; on the basis of the dynamic rhythm curve and a preset adjustment rate, calculating an upward light real-time parameter, and on the basis of the fused sleep staging result, the noise type label and the user portrait data, generating a downward light real-time parameter; and inputting the real-time parameters of the upper light and the real-time parameters of the lower light into a light field coupling model to calculate a light field distribution target value, and generating a light source driving instruction. According to the method, through multi-modal data perception, rhythm curve construction and light field cooperative regulation and control, the sleep staging precision, the light intervention suitability and the sleep assisting effect can be improved.

The invention relates to the technical field of equipment compensation control, and discloses a medical suction device with an altitude compensation function and a control method thereof. The method comprises the following steps: reading ambient air pressure data of a first pressure sensor, reading molecular sieve tank differential pressure data of a second pressure sensor, collecting pressure data of an output end of a third pressure sensor, and determining a real-time altitude according to the ambient air pressure data; a breathing pressure fluctuation value is calculated based on the molecular sieve tank differential pressure data, when the breathing pressure fluctuation value is lower than a preset negative pressure threshold value, the current breathing frequency is recorded, and nitrogen removal time, pressure equalizing time and flushing time are determined to control an electromagnetic valve to work; and when the oxygen concentration is lower than a first concentration threshold value and the real-time altitude height is lower than a preset height, increasing the nitrogen removal time by a first preset proportion and increasing the target rotating speed by a second preset proportion, and when the oxygen concentration is lower than a second concentration threshold value, stopping the operation of the compressor and closing all the electromagnetic valves. According to the invention, the false alarm rate is effectively reduced, and the equipment safety is improved.

The invention discloses an underground breathing flow monitoring method and system based on adaptive filtering, and the method comprises the steps: collecting an airflow signal at the mouth and nose of a miner in real time through an MEMS hot film sensor, and synchronously collecting a body vibration signal through an acceleration sensor, and obtaining original breathing data containing dynamic interference and corresponding vibration data; the method comprises the following steps: preprocessing original breathing data containing dynamic interference and corresponding vibration data to obtain a digital breathing flow signal and a standardized reference vibration signal; jointly inputting the digital respiratory flow signal and the standardized reference vibration signal into a filtering processing model based on an LMS adaptive algorithm to obtain a target respiratory flow signal; performing data analysis on the target respiratory flow signal, and calculating to obtain a real-time respiratory flow value, respiratory frequency and tidal volume parameters of the monitored object; the real-time breathing flow value, the breathing frequency and the tidal volume parameters obtained through calculation are locally displayed in real time, and monitoring of breathing flow data during underground operation is achieved.

The invention relates to a neonatal respiratory distress risk assessment construction method, which comprises the following steps of: implementing non-intrusive micro-disturbance operation on a neonatal, and detecting respiratory rhythm phase drift, respiratory driving force low-frequency suppression and physiological tremor window change under disturbance so as to identify a pre-instability signal regulated and controlled by a respiratory system; collecting nerve and respiration feedback path data, analyzing the time difference between respiration instruction conduction and actual respiration starting, and identifying an abnormal decoupling phenomenon; based on multiple times of perturbation induction and feedback acquisition results, continuously monitoring the micro-adaptive recovery capability of the respiratory system of the newborn, and identifying the hidden fatigue trend of the respiratory system by judging progressive extension of respiratory frequency recovery time and gradual upward movement of respiratory power consumption; the respiratory redundancy regulation capability in the stress regulation process is monitored, premature intervention and repeated activation of an auxiliary breathing mode or a respiratory muscle group are judged, and the redundancy regulation critical compression phenomenon of a respiratory regulation system is analyzed to complete evaluation construction of the neonatal respiratory distress risk.

The invention relates to a working parameter adjusting method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring gas pressure and gas flow rate output by a breathing machine and collected by a breathing machine sensor; determining breathing information of the target user according to the gas pressure and the gas flow rate; the breathing information comprises at least one of breathing frequency, real-time tidal volume and breathing quality data; determining physiological state information of the target user according to the breathing information and a physiological state threshold value; and adjusting working parameters of the breathing machine based on the physiological state information. By analyzing the gas pressure and flow velocity data collected by the respirator sensor in real time, the breathing frequency, tidal volume and other key parameters of a user can be accurately determined, the breathing state of a patient is intelligently evaluated, the working parameters of the respirator are automatically adjusted according to the evaluation result, and the flexibility of the working parameters is improved.

The invention discloses a millimeter-wave radar respiration monitoring method and device based on a gated attention wavelet network, and the method comprises the steps: a millimeter-wave radar sends a detection signal to a human body target, receives an echo signal returned by the human body target, converts the echo signal into two paths of orthogonal lacing signals, and carries out the sampling and combination of the two paths of orthogonal lacing signals into a complex baseband signal; fourier transform is carried out on the fast time dimension of the complex baseband signal to obtain a one-dimensional distance image, a distance unit with the maximum average energy in the one-dimensional distance image is selected as a distance unit where the human chest is located, and a continuous phase of the distance unit where the human chest is located is extracted; inputting the continuous phase of the distance unit where the human body is located into a time gating attention encoder to obtain a phase after primary interference suppression; inputting the phase after the primary interference suppression into a frequency gating attention decoder, and reconstructing a pure respiration waveform; fourier transform and band-pass filtering are conducted on the pure breathing waveform, and the frequency where a peak value is located serves as the estimated breathing frequency. The method is higher in accuracy.

The invention relates to a flexible electronic skin integrated dust-breath bimodal detection system and detection method. A bimodal sensing module, a signal processing module, a wireless transmission module, a data application module, an abnormity early warning module and a power supply are integrated on a composite flexible substrate; the bimodal sensing module monitors a dust concentration characteristic signal of a working place and a breathing frequency characteristic signal of a worker in real time; the signal processing module receives the signals and carries out noise reduction and data fusion processing to obtain a data set D; the wireless transmission module transmits the data set D to the data application module in real time, performs data real-time display, historical data storage, report generation and data export functions, and supports synchronization to an occupational health management platform; meanwhile, the data application module can process data in the data set D and feed back a processing result to the abnormity early warning module, and the abnormity early warning module correspondingly triggers an early warning signal according to feedback data; according to the invention, the target can be continuously monitored, and a high-precision detection result is obtained.

The invention relates to the technical field of atomizers, and particularly discloses a pediatric medical emergency atomizer which comprises a compressor body and an atomizing cup. The two sides of the breathing mask are respectively and fixedly connected with a bandage; the medical emergency atomizer for the department of pediatrics comprises a breathing mask, two bandages, a wearing mechanism, an expiration frequency monitoring mechanism and an atomization rate regulating and controlling mechanism, the wearing mechanism is connected with the two bandages, the expiration frequency monitoring mechanism is connected with the wearing mechanism, and according to the medical emergency atomizer for the department of pediatrics, the breathing mask is worn on the face of a patient through the wearing mechanism; if the breathing frequency of the child patient is rapid, airflow exhaled by the child patient impacts the breathing mask at the moment, the bandage is pulled when the breathing mask is impacted by the airflow, the expiration frequency monitoring mechanism is triggered through the bandage, and the atomization rate regulation and control mechanism is controlled to work according to the rapid expiration degree of the child patient; the atomization rate regulation and control mechanism regulates the flow amount of high-speed airflow entering the atomization cup from the connecting guide pipe.

The invention provides an airway atomization flow intelligent drug delivery control method and system, and relates to the technical field of medical instruments.The method comprises the steps that basic information of the age, the weight and the illness state severity of a patient is obtained, and physiological parameters of the respiratory rate and the tidal volume of the patient are collected in real time through a sensor; inputting the basic information and the physiological parameters into a fuzzy adaptive control algorithm, and initializing an individual administration rule base according to the basic information; based on the real-time change trend of the respiratory rate and the tidal volume, three initial control index values including an atomization flow value, a drug concentration value and a time interval are dynamically generated through a membership function. According to the invention, through the full-process design of data acquisition, intelligent modeling, accurate execution and data closed loop, intelligentization of atomization treatment is realized.

The invention discloses an infusion state and vital sign intelligent monitoring method based on multi-modal fusion, and relates to the technical field of sign monitoring, and the method comprises the following steps: respectively collecting infusion dripping speed, pipeline liquid state, infusion pressure and breathing and heart rate signals of a patient; filtering the original signal of each sensor; key features are extracted from the processed signals, wherein the key features comprise parameters including the average dripping speed, the liquid existence proportion, the pressure change rate, the respiratory rate and the heart rate; carrying out normalization and confidence weighted fusion on the extracted infusion and vital sign characteristics, calculating an infusion state index and a vital sign index, and further obtaining a combined abnormal index; performing three-level anomaly judgment according to the fused index; monitoring data and alarm information are uploaded to a hospital information system in real time. By introducing a judgment algorithm based on multi-modal data fusion and confidence coefficient weighting, monitoring and graded alarming of the infusion state and the vital signs of the patient can be achieved.

The invention belongs to the technical field of information, and discloses an intelligent sleep environment adjusting method based on artificial intelligence, and the method comprises the steps: synchronously collecting the heart rate variability, respiratory rate and body temperature data of a user, and carrying out the classification and recognition of a sleep state through a long-short-term memory network and a random forest algorithm, and obtaining a sleep state label; judging a deep sleep state according to the sleep state label and a corresponding body temperature data change trend, and further obtaining indoor environment parameters and calculating a deviation value with an ideal sleep environment; a reinforcement learning algorithm is adopted to construct a personalized environment adjustment strategy model, and when the environment parameter deviation exceeds a personalized threshold value, a multi-dimensional environment optimization control scheme is automatically generated. According to the invention, accurate identification of the sleep state of the user and intelligent adjustment of the environmental parameters are realized, the sleep quality is effectively improved, and a comfortable and healthy personalized sleep environment is created for the user.

The invention provides a sleep apnea and hypopnea intelligent monitoring and auxiliary diagnosis system and method based on a flexible sensor, and belongs to the technical field of sensors and respiration monitoring equipment. The system comprises a resistive flexible strain sensor, a wireless data acquisition card and a portable data processing terminal, a resistance-type flexible strain sensor is adhered to the skin surface of a main muscle group and an auxiliary muscle group related to human respiration, resistance signals related to the respiration frequency and amplitude are obtained, respiration data of a patient are collected in real time, and further, self-adaptive amplitude alarm upper and lower limits are constructed through statistical modeling of the individual resting respiration amplitude, so that the respiration alarm accuracy is improved. Therefore, the individual adaptability and robustness of the respiration detection system are improved.

The application discloses a controllable breathing machine atomization processing circuit, which comprises a main control module, a display module, a carbon dioxide concentration detection module, a pressure detection module, a judgment module, an atomization output control module and an oscillation driving module; wherein the main control module is connected with the display module, the judgment module, the carbon dioxide concentration detection module and the pressure detection module respectively; the display module, the carbon dioxide concentration detection module and the pressure detection module are connected with the judgment module respectively; the judgment module is connected with the atomization output control module; and the atomization output control module is connected with the oscillation driving module. Through the cooperation of the main control module, the carbon dioxide detection module and the pressure detection module, the breathing frequency data of a patient can be accurately collected and fed back in real time; and through the atomization output control module and the input oscillation driving module, the vibration frequency of the atomization screen is regulated and controlled, so that the atomization screen can better adapt to the breathing frequency of the patient.

The invention relates to the technical field of health monitoring, and discloses a human health state real-time monitoring method and system based on sensor data, and the method comprises the steps: collecting and filtering a pulse signal; heartbeat and respiratory frequency components are separated through wavelet transformation; calculating a spline entropy sequence of each component and an adjacent window entropy difference, and determining an abnormal change index according to the spline entropy sequence and the adjacent window entropy difference; when the index exceeds a threshold value, Fourier transform is carried out on the frequency component to obtain a spectrum distribution characteristic; calculating the deviation between the characteristic and the average spectrum characteristic of the historical health state, and if the deviation exceeds a threshold value, judging that an early decline sign exists and determining the grade of the early decline sign; performing time sequence smoothing on the decline signs; and finally, calculating the matching degree between the smooth sequence and the individual difference calibration model to determine the final health risk level. According to the method, sensitive capture and personalized accurate early warning of early health decline signs can be realized.

The present application relates to oxygen supply technical field, specifically to a portable oxygen supply device for the elderly and a flow intelligent adjustment system, the flow intelligent adjustment system realizes the following flow intelligent adjustment method when executing: determining the unstable moment of breathing frequency, obtaining the filtering characteristics of each moment according to the breathing frequency change in the local time range of the unstable moment, filtering the breathing frequency to obtain the updated breathing frequency; according to the size relationship between the updated breathing frequency and the breathing depth of each moment and the corresponding preset baseline, determine the activity moment in the reference period of the current moment; according to the correlation between the activity period and the adjacent non-activity period after it in time sequence, determine the rest effect of the user, combine the activity intensity of the user in the activity period, obtain the accurate oxygen supply demand of the elderly, improve the accuracy of oxygen supply demand acquisition, and then the oxygen supply flow of the elderly can be accurately and reliably adjusted according to the oxygen supply demand.

The application discloses a HEMT humidity sensor for breath monitoring, a preparation method and application thereof, and belongs to the field of semiconductor humidity sensors. The preparation method comprises the following steps: step 1, mesa etching of a GaN-based heterojunction material epitaxial wafer is carried out by using a stage power etching method; step 2, etching of a source-drain electrode buried region is carried out by using a scheme of first plasma treatment and then wet etching; step 3, a gold-free ohmic contact manufacturing scheme is adopted; step 4, a cage-shaped monomer containing a mercapto group and a monomer containing an olefin bond are dissolved in a mixed solvent of tetrahydrofuran and methanol as a skeleton material and a photocatalyst; step 5, a small amount of precursor liquid is drop-coated on the surface of a sensitive gate region of the HEMT device, and irradiated under ultraviolet light for 15-30 minutes; and step 6, the same solvent system is used for wetting. The HEMT humidity sensor made of the material as a sensitive material has a sensitivity of an order of magnitude in a full humidity range, and the sensor can well detect breath and distinguish breath frequency.

The invention discloses a signal processing method and system, and the method comprises the steps: continuously transmitting a pulse signal which is used for detecting the breath of a target user and the heartbeat of the target user; receiving an echo signal of the pulse signal; based on the echo signal processing, obtaining a first respiratory frequency for representing the respiration of the target user, a first heartbeat frequency for representing the heartbeat of the target user, and a confidence coefficient for representing the first respiratory frequency and the first heartbeat frequency for representing the credibility of the respiration and the heartbeat of the target user; and at least outputting a second respiratory rate and a second heartbeat rate based on the first respiratory rate, the first heartbeat rate and the confidence.

The invention discloses an intelligent pressure sore protection data processing method and system based on the Internet of Things, and the method comprises the steps: obtaining the pressure distribution, body movement and respiratory rate data of a target object through an Internet of Things interface, and calculating a pressure sore risk index based on a pressure value and the continuous compression time. When the risk index exceeds a preset threshold value, the system can judge the sleep state of the target object: if the body movement amplitude and frequency are relatively low and breathing is stable, the sleep state is judged to be a deep sleep state, and bed body side turning at a small angle is executed; and if the body movement and breathing parameters are active, judging that the state is a non-deep sleep state, and executing large-angle bed body side turning. The application is used for reducing and interrupting the continuous sleep process of the nursed person and reducing the risk of pressure sores and rest quality of the nursed person.

The utility model belongs to the technical field of atomizing cups, and particularly relates to an atomizing cup with adjustable atomizing speed, which comprises an atomizing cup main body, the atomizing cup main body comprises a shell, a mist outlet mechanism is arranged on the inner wall of the shell, the mist outlet mechanism comprises a mist outlet pipe, the surface of the mist outlet pipe is fixedly connected with the inner wall of the shell, and the surface of the mist outlet pipe is fixedly connected with a connecting ring. A first connecting pipe is installed in the connecting ring, an adjusting mechanism is installed on the lower surface of the shell and comprises a motor, the upper surface of the motor is fixedly connected with the lower surface of the shell, the output end of the motor is fixedly connected with a rotating shaft, the surface of the rotating shaft is fixedly connected with a rotating rod, and the tail end of the rotating rod is fixedly connected with an arc-shaped plate. The device can be suitable for people with different breathing frequencies, and the practicability of the device is improved.

The utility model discloses a breathing machine, which relates to the technical field of medical instruments and comprises a mask, a pneumatic module and a reciprocating type driving module, and the pneumatic module and the reciprocating type driving module are sequentially connected with the mask. The pneumatic module comprises a main cavity with pistons, two sub-cavities, two one-way valves arranged in the sub-cavities, and connecting rods for mutually connecting the pistons; the main cavity is communicated with the reciprocating type driving module; wherein the two sub-cavities are both communicated with the mask, and in the two sub-cavities, the input end and the output end of each one-way valve are oppositely arranged. Through the arrangement, atmospheric gas can be used for helping a patient to breathe, the technical problems that ordinary personnel cannot effectively adjust the pressure range of the pressure safety valve and unreliability exists are solved, meanwhile, the reciprocating type driving module circularly inputs the driving medium into the main cavity, the breathing frequency does not need to be manually controlled, and the working efficiency is improved. The defect that the breathing frequency is too fast or too slow is avoided, and the purpose of helping the patient to breathe effectively is achieved.

Provided is a respiratory rate measurement device provided with: a patient connection unit for acquiring biological information for detecting respiration from a user; a conversion unit for converting the biological information detected by the patient connection unit into an electric signal; a respiratory rate calculation unit for processing the converted electrical signal and calculating a respiratory rate; and a signal output unit that outputs the calculated respiratory rate by means of at least one of voice, screen display, and communication signals. And a respiratory rate calculation unit that calculates respiratory accompanying information including a respiratory interval for each respiration detected on the basis of the electrical signal or an amplitude of a detected respiratory waveform, calculates an index relating to reliability of the calculated respiratory rate on the basis of the respiratory accompanying information, and outputs the index by means of the signal output unit. The respiratory rate measuring device is configured to calculate the respiratory rate and calculate an index related to the stability of the respiration, thereby determining the condition in which the respiration can be stably detected.

The utility model relates to a multifunctional stethoscope, which belongs to the field of stethoscopes, and comprises a stethoscope head, one side of the stethoscope head is provided with a temperature adjusting mechanism, the temperature adjusting mechanism comprises a sound guide tube fixedly installed on one side of the stethoscope head, one side of the sound guide tube is fixedly provided with a main sound tube, the outer side of the main sound tube is fixedly provided with a mounting seat, and the mounting seat is fixedly provided with a handle. Mounting boxes are fixedly mounted on the left side and the right side of the mounting base correspondingly. According to the multifunctional stethoscope, the stethoscope head can be placed in the skin area of a patient for auscultation, the doctor-seeing comfort of the patient can be improved conveniently, the sound collector is used for capturing sound signals in the body of the patient, the amplifier is used for amplifying the sound signals, and the recording module is used for recording the amplified sound signals. The sound analyzing and processing module is used for analyzing and processing the recorded sound signals in real time, extracting key diagnosis data and displaying the key diagnosis data to a doctor through the display screen, and the display screen can display the heart rate and the respiratory rate and prompt conditions such as atrial fibrillation and valve noise, so that the doctor can listen to the conditions more clearly.

The invention relates to a fall early warning method and system for a toilet scene, and solves the problem that a risk judgment and response mechanism is mostly in a fixed mode and is difficult to dynamically adjust according to an actual scene to balance an early warning effect and resource utilization. The falling impact amount is calculated based on temperature distribution sudden change and displacement characteristics in the thermal radiation data; the trunk inclination angle, the gravity center track, the breathing frequency, the ground slippery risk level and the falling impact amount are input into a risk assessment model, data fusion analysis is carried out, and a grading early warning result is output; and starting a response mechanism matched with the early warning level according to the graded early warning result. The method has the following effects that accurate early warning and adaptive dynamic response of the falling risk of the toilet scene are realized, and the safety guarantee efficiency is improved.

This application discloses a method for detecting living beings inside a vehicle and an alarm method for detecting children left behind in a vehicle. The main technical solution includes: acquiring radar echo signals from the interior environment of the target vehicle; analyzing the respiratory frequency of a living being based on the frequency characteristics of the radar echo signals to obtain respiratory frequency estimation information, wherein the frequency characteristics include frequency amplitude and / or frequency phase; and determining whether a living being exists in the vehicle's interior environment based on the respiratory frequency estimation information. This method can effectively identify weak, periodic respiratory signals from a noisy background, improving the accuracy and reliability of living being detection and effectively reducing the number of missed and false alarms regarding living beings left in the vehicle.

The invention relates to a fish respiratory rate detection method based on YOLO segmentation and optical flow tracking, and belongs to the technical field of aquatic organism physiological status monitoring. The method comprises the steps of video data input and initialization, video preprocessing and frame rate dynamic calibration, gill segmentation by a YOLO model and target screening, gill region-of-interest extraction, optical flow feature point tracking and dynamic maintenance, gill motion displacement calculation and signal optimization, respiratory rate calculation and smooth optimization, and result output and visualization. Under complex scenes such as water wave interference and fish swimming, the respiratory rate calculation error is smaller than or equal to + / -2 BPM, the effective data rate is larger than or equal to 95%, and the method is superior to the prior art (for example, the patent CN120599516A) and can be applied to scenes such as aquaculture health early warning and aquatic organism physiological experiments.

The invention discloses a non-contact breathing state monitoring method based on a millimeter wave radar, and belongs to the technical field of non-contact human body vital sign monitoring. The method comprises the steps that radar echo signals of a human body target are collected through a millimeter wave radar, a phase sequence is obtained through frequency mixing, filtering and phase demodulation, and breathing signals are extracted through phase unwrapping and displacement conversion; fourier transform is carried out on the respiratory signals, and the respiratory frequency and amplitude are calculated; a plurality of slope extraction algorithms are adopted, derivation is conducted on the respiration signals in the inspiration and expiration stages, and the respiration slope is obtained; and finally, integrating the respiratory rate, the amplitude and the slope, setting a threshold value and a scoring system, and quickly and accurately evaluating the respiratory distress degree. The method does not need to contact a human body, can penetrate through clothes, is suitable for various scenes such as clinical monitoring and emergency triage, and has the advantages of being easy and convenient to operate, high in real-time performance and high in reliability.

The utility model relates to a wearable mechanical flower based on arduino controller, including sensor, arduino controller and mechanical flower subassembly, the sensor is used for monitoring user respiratory frequency information, and will monitored frequency information send to arduino controller, arduino controller is used for receiving the frequency information of sensor transmission, to the frequency information of receiving processing and will handle the corresponding instruction signal transmission to servo motor, the mechanical flower subassembly includes transmission mechanism and a plurality of simulation petal, the input of transmission mechanism with servo motor's output is linked, the output of transmission mechanism with simulation petal is linked, servo motor controls simulation petal according to instruction signal with respiratory frequency repeatedly opens and shuts. The utility model discloses repeatedly open and shut action of simulation natural flower, with the physiological rhythm (respiratory frequency) of wearer synchronization, makes the user psychology peaceful, reaches the effect of relieving anxiety and enhancing mindfulness.