36 results about "Oxyhemoglobin saturation" patented technology

The invention relates to a multi-sensor fused vital sign and motion posture monitoring system and method. The system comprises a photoelectric volume pulse wave acquisition module, an electrocardio acquisition module, an inertia measurement module, a synchronization module, an artifact suppression module, a contact state recognition module, a data quality evaluation module, a vital sign extraction module and an anomaly detection module. Synchronously acquiring a photoelectric volume pulse wave signal, an electrocardiosignal and motion information; suppressing motion artifacts in the photoplethysmography signal and / or the electrocardiosignal based on the motion information; identifying the contact state and generating a data quality indicator related to the measurement reliability in combination with the de-artifact physiological signal; when the data quality meets a preset condition, heart rate, oxyhemoglobin saturation and / or breathing information are extracted, and vital sign parameters are formed; and carrying out conjoint analysis on the artifact-removed physiological signal and the motion information, and marking heart rate rhythm abnormity and / or posture abnormity. According to the invention, the reliability and availability of vital sign monitoring can be improved.

The invention discloses an inpatient alarm bracelet system and method based on multi-parameter vital sign monitoring, and relates to the technical field of inpatient alarm bracelets. Matching corresponding vital sign parameter initial weights from a preset disease-parameter sensitivity mapping library, wherein the vital sign parameters comprise heart rate, respiratory rate, oxyhemoglobin saturation, body temperature and heart rate variability; the method comprises the following steps: establishing an individualized physiological fluctuation baseline model based on vital sign data collected at the initial stage of wearing in combination with a resting state time period identified by an acceleration sensor, and generating a dynamic reference interval; collecting photoelectric volume pulse waves, electrocardiosignals, body temperature and acceleration data, judging whether motion artifacts exist or not by analyzing the spectrum correlation between physiological signals and motion signals, and generating a signal quality mark; and calling the initial weight and the dynamic reference interval under the condition that the signal quality mark indicates that the data is valid.

The utility model provides a clamping type fixing device for an oxyhemoglobin saturation clip. The clamping type fixing device comprises an elastic band, a fixing buckle and a cable fixing piece. Wherein the elastic band is suitable for being worn on the wrist of a patient; the fixing buckle is fixedly connected with one end of the elastic band, and the other end of the elastic band can be wound around the fixing buckle so as to be fixed on the fixing buckle; the cable fixing piece is fixed or formed on the fixing buckle and used for fixing a transmission line of the blood oxygen saturation degree clamp. When the blood oxygen saturation degree is monitored, the elastic band is worn on the wrist of a patient, then the finger sleeve of the blood oxygen saturation degree clamp is sleeved on the finger, the monitor is worn behind the elastic band, and after the monitor is worn, the transmission line is fixed in the cable fixing piece. According to the clamping type fixing device for the oxyhemoglobin saturation clip, the transmission line is fixed into the cable fixing piece, the transmission line can be clamped and fixed, and therefore the fingerstall can be further fixed to the finger in an auxiliary mode, and monitoring failure caused by the fact that the fingerstall slips off when the oxyhemoglobin saturation is monitored is avoided.

The invention relates to a method for processing a blood oxygen signal, a blood oxygen detection device, an electronic device, a storage medium and a computer program product. The method comprises the following steps: judging whether the range of a plurality of bSpO2 (bSpO2) values measured during a specified time window meets a preset condition or not; and selecting a range for calculating the bSpO2 values from the plurality of bSpO2 values according to a judgment result, and performing mathematical statistic calculation by using the bSpO2 values in the selected range to obtain the SpO2 value serving as an oxyhemoglobin saturation output value. Therefore, the detection precision of the SpO2 value can be improved.

The invention provides an in-vehicle oxygen concentration control method, device and equipment, and is applied to the technical field of in-vehicle oxygen concentration control. The method comprises the following steps: acquiring a vibration signal generated in the driving process of a vehicle and an original pulse signal of a driver; and dynamically offsetting the vibration interference component in the original pulse signal based on the vibration signal to obtain a denoised pulse signal of the driver. And determining the blood oxygen saturation degree of the driver according to the pulse signal after noise reduction. According to the oxyhemoglobin saturation and the preset threshold interval, the control instruction of the vehicle-mounted oxygen supply device in the vehicle is generated so as to adjust the in-vehicle oxygen concentration of the vehicle, and the problem that a traditional in-vehicle oxygen concentration control system is prone to being disturbed by vehicle vibration and consequently low in measurement precision can be solved.

The invention discloses a neonatal precise music treatment system based on amplitude integrated electroencephalogram awakening signals and a use method thereof. The neonatal precise music treatment system comprises a collection module, a customized music treatment content design module, an automatic closed-loop module and a safety guarantee module. The collection module is used for collecting the electrooculogram, the heart rate, the pulse oxyhemoglobin saturation and the amplitude integrated electroencephalogram, screening out an amplitude integrated electroencephalogram awakening signal according to the electrooculogram, the heart rate and preset three-level grabbing logic, and then obtaining the level of the amplitude integrated electroencephalogram awakening signal and the level of the brain function state; the customized music treatment content design module is used for generating music according to a preset source material library, the level of the amplitude integrated electroencephalogram awakening signal and the brain function state level; the automatic closed-loop module is used for controlling playing and stopping of music; and the safety guarantee module is used for controlling the volume and stopping working when the amplitude integrated electroencephalogram awakening signal is interrupted. According to the method and the device, the accuracy of awakening signal grabbing is improved.

The invention provides an interventional postoperative puncture point pressure self-adaptive regulation and control method based on bimodal feedback, and relates to the technical field of pressure regulation and control, and the method comprises the following steps: receiving a pressure safety range and an oxyhemoglobin saturation warning value; a real-time pressure signal and a real-time blood oxygen signal are obtained; generating a real-time prone position type; fitting and predicting a blood oxygen change track; constructing an initial pressure change vector; a pressure-blood oxygen dynamic response model is input for blood oxygen track prediction, and an initial blood oxygen change track and initial blood oxygen change time delay are output; gradient optimization iteration is carried out until a target pressure change vector and a target blood oxygen change time delay are output; incremental PID pressure regulation is performed on the pressure applying device. The technical problems that in the prior art, a manual pressurization bandaging method depends on manual monitoring and pressure adjustment, the pressurization strength cannot be accurately controlled in real time, pressurization is not stable, and the pressurization effect and stability are affected are solved.

The invention relates to the technical field of physiological data monitoring, in particular to an orthopedic postoperative patient physiological data analysis method and system.The orthopedic postoperative patient physiological data analysis method comprises the following steps that heart rate blood oxygen and limb activity data are collected, a heart rate fluctuation value, a blood oxygen change value and an activity range are extracted, and a multi-dimensional physiological feature sequence is constructed; and calculating a data change range in the sliding window of each dimension and a frequency change value of adjacent windows. According to the method, fine quantitative analysis of heart rate fluctuation, oxyhemoglobin saturation and limb movement amplitude is achieved by dynamically adjusting data time span and calculating indexes in a segmented mode, change characteristics of different recovery stages are adapted, data cleaning accuracy is improved through high-density region statistics and noise elimination, scientific induction of dynamic characteristics is ensured, and the method has good application prospects. In combination with feature extraction and trend analysis of an acute period, a functional reconstruction period and a stable period, comprehensive evaluation of inter-stage features is formed, and based on an offset rate, a prediction deviation value and abnormal signal trajectory labeling, the anomaly identification and real-time tracking capability is enhanced.

The invention discloses a method and system for rapidly measuring electrocardiogram and pulse blood oxygen saturation, and relates to the technical field of medical detection equipment. According to the method for rapidly measuring the electrocardiogram and the pulse blood oxygen saturation degree, on the basis of a set time period, preset transmission light signal time sequence data of a first to-be-measured part and preset electrocardiosignal time sequence data between a second to-be-measured part and the first to-be-measured part are synchronously collected; performing optical filtering and amplitude adjustment processing on the transmission light signal time sequence data, and performing analysis based on a preset blood oxygen saturation analysis algorithm to obtain a pulse blood oxygen saturation value; the method comprises the following steps of: performing enhanced filtering and de-noising processing on electrocardiosignal time sequence data to generate an electrocardiogram waveform, extracting a QRS wave group from the electrocardiogram waveform, calculating a heart rate based on the QRS wave group, and displaying and outputting the heart rate. And the operation process is greatly simplified.

The utility model relates to the technical field of medical health, in particular to a human body multi-mode physiological signal acquisition device which comprises an acquisition host, a base arranged behind the acquisition host, a touch screen arranged on a front panel of the acquisition host, a camera arranged in the top of the touch screen and used for face recognition and acquisition, and a microphone port embedded in the bottom of the touch screen. A sensor interface is arranged on the upper side in the base, a signal transmission line is connected to the sensor interface through a connecting plug, the tail end of the signal transmission line is divided into two connecting lines, two sets of fingerstalls are connected to the two connecting lines respectively, and a heart rate sensor, a pulse sensor, a blood oxygen saturation degree sensor and a skin temperature and skin electric sensor are integrated in the two sets of fingerstalls. According to the utility model, a plurality of physiological sensors are integrated, a plurality of physiological signals including heart rate, pulse, oxyhemoglobin saturation, skin temperature and skin electricity, voice, face and the like can be synchronously acquired, and data are processed and analyzed through an advanced algorithm, so that the accurate assessment of the psychological state of an individual is realized.

The invention relates to the technical field of medical instruments, and provides a relative blood volume monitoring method and device for a hemodialysis pipeline based on double optical paths, the hemodialysis pipeline comprises a narrow-diameter section and a wide-diameter section which are connected, and the relative blood volume monitoring method comprises the following steps that S1, in dialysis treatment, red light and infrared light are adopted to irradiate the narrow-diameter section of the hemodialysis pipeline, and the narrow-diameter section of the hemodialysis pipeline is irradiated to obtain a blood volume monitoring result; the absorbance delta 1 red of the red light of the narrow-diameter section and the absorbance delta 1 infrared of the infrared light of the narrow-diameter section are calculated; s2, red light and infrared light are adopted to irradiate the wide-diameter section of the hemodialysis pipeline, and the absorbance delta 2 red of the red light of the wide-diameter section and the absorbance delta 2 infrared of the infrared light of the narrow-diameter section are calculated; s3, constructing an anti-oxyhemoglobin saturation change interference factor delta D red of the red light based on the delta 1 red and the delta 2 red; constructing an anti-oxyhemoglobin saturation change interference factor delta D infrared of the infrared light based on the delta 1 infrared and the delta 2 infrared; and S4, calculating the relative blood volume RBV based on the delta D red and the delta D infrared. The method has the advantage that accurate non-invasive monitoring of the relative blood volume is achieved.

The invention discloses a digital intelligent neurological critical patient tracheal intubation and extubation decision risk assessment system, and relates to the technical field of medical risk assessment, and the technical key points are that the system comprises a data acquisition module used for integrating clinical parameters of a patient, and obtaining oxyhemoglobin saturation, respiratory rate and airway secretion amount data in real time through an Internet of Things device; the model building module is used for receiving the data acquired by the data acquisition module, determining weight distribution by adopting a Delphi expert consultation method, and building a dynamic risk assessment model in combination with a machine learning algorithm; and the clinical decision module performs evaluation result analysis according to the dynamic risk evaluation model established by the model construction module, comprises a risk early warning subsystem, and generates a tube drawing suggestion when the real-time monitoring data triggers a preset threshold value. The system has a remarkable clinical application value, the nursing quality is improved, clinical decisions are supported through scientific risk assessment, and the working efficiency of medical staff is improved.

The invention relates to the technical field of medical image processing, in particular to a gastrointestinal anastomotic stoma healing real-time monitoring image analysis system which comprises an image acquisition module, a preprocessing module, a feature extraction module, a manifold construction module, a curvature analysis module, a geodesic prediction module, a risk assessment module and a decision support module. The system collects a continuous image sequence of a gastrointestinal anastomotic stoma area, extracts multi-dimensional features such as oxyhemoglobin saturation distribution, tissue morphology and blood vessel distribution, expresses a healing state as a low-dimensional manifold based on a differential geometry theory, detects abnormality through multi-scale curvature analysis, predicts a healing trajectory by using a geodesic theory, and performs multi-branch prediction. Risk grading and early warning are achieved, the healing state of the gastrointestinal anastomotic stoma can be objectively and quantitatively evaluated, nonlinear dynamic characteristics of the healing process are effectively captured, and potential abnormal healing is predicted 48-96 hours in advance.

A demand-adapting and auto-regulatory ECMO system and method is disclosed that may be configured to provide complete cardiopulmonary replacement. The system and method employ a blood gas exchanger having a blood inlet, a blood outlet, a gas inlet, and a gas outlet, an oxygen sensor positioned to detect oxyhemoglobin saturation at the blood inlet, and a carbon dioxide sensor positioned to detect exhaust gas CO2 concentration at the gas outlet. A controller communicates with the oxygen sensor and the carbon dioxide sensor and controls blood flow and gas flow through the blood gas exchanger in response to a sensed oxygen level by the oxygen sensor and a sensed carbon dioxide level by the carbon dioxide sensor, in turn maintaining the sensed oxygen level and the sensed carbon dioxide level within a pre-designated range of values to maintain a patient's metabolic requirements.

The invention discloses an outdoor high-voltage test area alarm device and method based on an infrared electronic fence array. The device comprises a multi-source sensing module, a tester state monitoring module, a dynamic calculation module, an intelligent execution module and a cloud collaboration platform. The multi-source sensing module realizes area monitoring through an infrared laser grid array, a visual camera array and an environment sensing unit; the state monitoring module is integrated with wearable equipment to collect heart rate, oxyhemoglobin saturation and posture data of a tester in real time; the dynamic safety calculation module fuses environmental parameters and physiological indexes based on a PSO-SVR model and adopts a dynamic safety distance formula to realize fence boundary real-time adjustment; the intelligent execution module triggers multi-level response according to the risk level, wherein the multi-level response comprises acousto-optic early warning, directional expelling and dual-redundancy power supply cut-off; and the cloud platform generates an electric field distribution diagram and encrypts and stores an evidence through the block chain. The method achieves the dynamic optimization of the safety distance, improves the accident response speed, and effectively guarantees the safety of personnel in a high-voltage test region.

The utility model discloses a continuous oxyhemoglobin saturation monitoring probe arranged in a central venous catheter, and relates to the technical field of medical instruments. In the prior art, an oxyhemoglobin saturation monitoring probe is arranged on the outer wall of a central venous catheter body, the oxyhemoglobin saturation monitoring probe and the central venous catheter are directly integrally designed, however, the oxyhemoglobin saturation monitoring probe only needs to be used under specific conditions, and the medical cost is increased. The utility model provides a continuous oxyhemoglobin saturation monitoring probe arranged in a central venous catheter, an oxyhemoglobin saturation probe is fixedly connected with the head end of a guide wire, the guide wire is electrically connected with an oxyhemoglobin connecting wire, and a sealing cap is fixedly connected at the junction of the guide wire and the oxyhemoglobin connecting wire. The oxyhemoglobin saturation probe can be directly pushed into the central venous catheter through the guide wire and is exposed out of the head, and the oxyhemoglobin saturation of the central vein can be continuously monitored in real time.

The invention discloses a health monitoring method based on the Internet of Things and related equipment. The method comprises the following steps: acquiring multi-source health monitoring data acquired by at least two types of heterogeneous monitoring equipment; the health monitoring data comprises any multiple of sleep duration, respiratory rate, heart rate, body temperature, oxyhemoglobin saturation or step number; preprocessing the multi-source health monitoring data, and performing data fusion on the multi-source health monitoring data of the same index to obtain target health monitoring data; performing anomaly detection on the target health monitoring data according to a preset health rule, and if an abnormal index is detected, automatically triggering alarm information; and performing risk assessment on the target health monitoring data and generating a diagnosis report. According to the embodiment of the invention, the accuracy of health monitoring data and detection results can be improved. The method can be widely applied to the technical field of health monitoring.

The invention discloses a home respiratory rehabilitation multi-modal intelligent management system based on a reinforcement learning algorithm, which belongs to the crossing field of artificial intelligence and medical health technology, and comprises a multi-modal physiological signal acquisition module, a graph attention feature fusion module, a near-end strategy optimization rehabilitation decision module and a long-short term memory health prediction module, the multi-modal physiological signal acquisition module acquires breathing audio, thoracic and abdominal movement, oxyhemoglobin saturation and heart rate variability signals in real time, the graph attention feature fusion module constructs multi-modal data into a heterogeneous graph structure, and cross-modal correlation features are extracted through a graph attention network. The near-end strategy optimization rehabilitation decision-making module generates a personalized rehabilitation training strategy through an actor reviewer architecture, the long and short-term memory health prediction module predicts a respiratory function deterioration risk value and dynamically adjusts reward function parameters, and the four modules form a deep coupling closed-loop collaborative system, so that strategy optimization of risk perception is realized; and the household rehabilitation effect is improved by 45%.

The invention relates to an intelligent life support system in underwater wearable equipment. The system comprises a diver physiological parameter monitoring module, an intelligent analysis and judgment module, a life support equipment control module, an emergency rescue system and a data recording and transmission module. The diver physiological parameter monitoring module can monitor the physiological parameters of the diver in real time, such as the heart rate, the respiratory rate and the oxyhemoglobin saturation. And the intelligent analysis and judgment module analyzes the physiological parameter data, identifies possible health risks encountered by the diver, and provides early warning and response measures. The life support equipment control module automatically adjusts the breathing oxygen concentration and the gas flow so as to provide proper oxygen supply and protection. The emergency rescue system can send a distress signal and determine the position of the diver so as to realize timely rescue action. And the data recording and transmitting module records the physiological parameter data and transmits and stores the physiological parameter data in real time. The intelligent life support system improves the safety and survivability of the diver, and has a wide application prospect.

The intelligent self-adjusting splint comprises an upper fixing plate, a lower fixing plate and a side fixing plate, the upper fixing plate is provided with a regulation and control system and an internal binding mechanism, and the regulation and control system is integrated with sensors for detecting oxyhemoglobin saturation, pressure, temperature and humidity and is connected with a display regulation and control screen; the binding mechanism drives a binding belt to be synchronously wound and unwound through an adjusting motor and a gear set. The splint can automatically adjust the tightness according to physiological data monitored in real time so as to adapt to swell change of an affected limb; and a manual adjusting knob and an electromagnetic locking and emergency releasing mechanism are arranged, so that excessive compression or infirm fixation is effectively avoided, and the treatment safety and the comfort level of a patient are improved.

The invention provides a wearable multi-mode health monitoring method and system, and the method comprises the steps: synchronously collecting a pressure pulse signal and a photoelectric volume signal of a wearing part under a unified clock reference; the collected pressure pulse signals and photoelectric volume signals are subjected to preprocessing and time axis alignment, and time domain synchronous multi-modal pulse data are established; calculating oxyhemoglobin saturation based on photoplethysmography signal characteristics in the multi-modal pulse data; pressure pulse signal waveform features in the multi-modal pulse data are extracted, time sequence correlation features between pressure pulse signals and photoelectric volume signals are extracted, and the waveform features and the time sequence correlation features are jointly input into a blood pressure calculation model to calculate a blood pressure value; the blood oxygen saturation degree and the blood pressure value obtained through monitoring are output, and the limitation that a single mode is prone to being interfered and insufficient in physical basis is effectively overcome, so that the accuracy, the robustness and the practicability of continuous blood pressure monitoring are remarkably improved, and stable and reliable continuous health monitoring is achieved.

The invention discloses a light control method and system for photodynamic therapy, and belongs to the technical field of medical equipment control. The method comprises the steps of setting initial power of an excitation light source and starting treatment; collecting a total fluorescence emission spectrum and a diffuse reflection spectrum of the treatment area in real time; based on LED driving current and junction temperature monitored in real time, calling a dynamic normalized spectrum decoupling model, and accurately separating fluorescence intensity of a photosensitizer and a light product from total fluorescence; meanwhile, tissue absorption and scattering coefficients are inversed in real time based on a diffuse reflection spectrum; and taking the separated fluorescence intensity, the inverted tissue optical parameters, the real-time temperature and the oxyhemoglobin saturation as state input, generating a current optimal power adjustment instruction through a pre-trained reinforcement learning agent, and coupling a heat-light-oxygen cooperative constraint strategy to dynamically adjust the output power of an excitation light source. According to the invention, through deep fusion and intelligent decision of multi-physical field information, accurate and adaptive closed-loop control of light in the photodynamic therapy process is realized.

The invention provides a snore classification method and system based on a multi-dimensional sleep sign signal feature graph, and relates to the technical field of data processing, the method comprises the following steps: preprocessing an all-night sleep acoustic signal, an oxyhemoglobin saturation signal and a pulse rate signal which are synchronously collected; based on the preprocessed acoustic signal, a plurality of independent snore event segments are positioned and cut by detecting the envelope peak value of the acoustic signal and combining a double-threshold endpoint detection method; based on each snore event segment, Mel frequency cepstral coefficient features, time domain features and frequency domain features are extracted from the corresponding acoustic signals to form an acoustic feature set, and fluctuation features and extreme value features are synchronously extracted from the corresponding oxyhemoglobin saturation signals and pulse rate signals to form a physiological feature set. According to the method, high-precision automatic classification of pathological snore and normal snore is realized.

The invention relates to the technical field of bleeding amount monitoring, in particular to an intelligent information acquisition and storage system in general surgery, comprising: a first information processing module for determining a hemodynamic correction factor according to the blood flow thrust intensity and blood flow pulsation intensity of a target object in general surgery; the second information processing module is used for determining a tissue perfusion correction factor according to the oxyhemoglobin saturation and the central venous pressure of the target object; the instantaneous bleeding intensity quantification module is used for determining the instantaneous bleeding intensity according to the instantaneous bleeding amount of the target object, the hemodynamic correction factor and the tissue perfusion correction factor; the hemostasis efficiency quantification module is used for determining the hemostasis efficiency according to the effective energy of the hemostasis instrument, the fluctuation degree of the output energy of the hemostasis instrument and the instantaneous bleeding intensity; and the storage module is used for predicting a bleeding early warning index in the general surgery at least according to the hemostasis efficiency and the instantaneous bleeding intensity and storing the bleeding early warning index. According to the invention, early warning can be effectively carried out on bleeding conditions.

The invention provides bionic blood and a preparation method and application thereof, the bionic blood comprises a first dye, a second dye and a solvent, the absorption wavelength of the first dye is 620-750 nm, the absorption wavelength of the second dye is 760 nm-1. 4 [mu] m, and both the first dye and the second dye can be dissolved in the solvent. The first dye and the second dye are dissolved in the solvent to prepare the bionic solution, the preparation method is simple, reduced hemoglobin of human blood is simulated through the first dye, oxyhemoglobin of the human blood is simulated through the second dye, the bionic blood can be used for simulating the oxyhemoglobin saturation of the human blood, and the biomimetic effect is good. The oxyhemoglobin saturation value is adjusted by adjusting the proportion of the first dye and the second dye in the bionic blood, the oxyhemoglobin saturation value does not need to be obtained by a human body, and convenience and safety are improved. Moreover, the bionic blood can be prepared in batches, is not limited by the blood donation amount and is long in storage life, and the application of the bionic blood in the field of medical health is greatly expanded.

The invention provides a monitor vital sign early warning method based on artificial intelligence, and the method comprises the steps: continuously obtaining vital sign data from a monitoring device, the vital sign data including heart rate, blood pressure, respiratory rate and oxyhemoglobin saturation, and obtaining a continuous sign data stream; extracting vital sign characteristics in a preset time period from the vital sign data stream, analyzing dynamic relevance among vital signs in the preset time period, and determining a mutual influence mode among the vital signs; if the dynamic relevance exceeds a preset relevance threshold value, identifying the delay time of each physical sign change according to a mutual influence mode between the physical signs to obtain a physical sign change amplitude; and continuously recording an early warning result, updating a mutual influence mode between the signs according to newly obtained sign data, and performing re-evaluation to obtain a newest sign correlation intensity value and a time sequence deviation value.

The invention relates to an automatic intervention device for preventing an upper airway from collapsing in sleep. The automatic intervention device comprises a physiological parameter monitoring module, a control module, a pneumatic driving module and a lower jaw advancing execution module which are connected in sequence, according to the device, by monitoring the oxyhemoglobin saturation in real time, the pneumatic driving module is automatically triggered when abnormal breathing is detected, so that an expandable driving body in the execution module is inflated and deformed, the lower jaw of a user is moved forwards instantly and accurately to open the airway, and the device is automatically reset after returning to normal; the problem of temporomandibular joint discomfort caused by continuous forward movement of a traditional oral appliance is solved, meanwhile, pure pneumatic and non-conductive design is adopted, air serves as a working medium, electrical risks near the mouth and the nose are thoroughly eradicated, and safety, comfort and reliability in unattended scenes such as family sleep are remarkably improved.

The invention relates to an intelligent oxygen supply method for plateau construction. The method comprises the steps that external environment data and user physiological data are obtained, and the user physiological data comprise the oxyhemoglobin saturation, the heart rate and the activity amount; evaluating a state result of the external environment data and the user physiological data based on a preset three-dimensional evaluation model; the metabolic state of the user is determined on the basis of the heart rate change rate and the activity change rate within the preset time, a predictive result is obtained on the basis of the metabolic state of the user, and the predictive result is used for determining the mode of an oxygen supply instruction; based on the state evaluation result and the predictive result, outputting an oxygen supply instruction of a corresponding mode; after the oxygen supply instruction is executed, the updated oxyhemoglobin saturation and heart rate data are collected regularly, and a flow adjusting valve is adjusted or an acousto-optic alarm of a safety alarm unit is triggered based on the updated oxyhemoglobin saturation and heart rate data.

The invention provides a cognitive ability evaluation system and method suitable for a plateau hypoxia environment, and relates to the technical field of cognitive and psychological testing. Comprising a cloud server, an APP test unit, an external portable monitor and a user client. The cloud server is used for generating a cognitive competence assessment task and a questionnaire according to the personal information of each tested user, the altitude environment information and a seven-point scale subjective evaluation method; the APP test unit is used for receiving the cognitive competence assessment task and the questionnaire, obtaining a first test result and a second test result, and obtaining the heart rate and the blood oxygen saturation of each tested user by using an external portable monitor; the cloud server is further used for performing analysis according to the first test result, the second test result, the heart rate and the oxyhemoglobin saturation and generating a test report; and the user client is used for displaying the test report. The special requirements of the plateau anoxic condition can be effectively met, and the oxygen supply strategy in the plateau anoxic environment is further optimized.

The invention discloses a sleep dyspnea assessment method based on limited lead signals, and belongs to the technical field of sleep dyspnea monitoring. The method aims at solving the problems that in the prior art, an oxygen deduction index (ODI) algorithm lacks a unified standard for baseline definition and event boundaries, the accuracy and consistency of evaluation results are affected, and a traditional lowest blood oxygen saturation (LSpO) index is prone to being interfered by artifacts. According to the method, an adaptive wave crest baseline is combined with a four-node time sequence constraint structure to detect an oxygen reduction event, an ODI {deviation, duration} index is calculated, and the duration and the descending depth of the event are quantified; a quantile interval average value index is introduced to replace traditional LSpO so as to stably evaluate the severity of the hypoxemia; by analyzing the difference value of the heart rate variability indexes before and after sleep, the regulation degree of sleep on the autonomic nervous system is quantified. The system is cooperatively realized by the wearable device and the data processing device, and is especially suitable for household and large-scale screening scenes. The key word in the figure 1 is sleep breathing disorder; obstructive sleep apnea; an oxygen reduction index; a wave crest baseline is self-adapted; detecting a four-node event; heart rate variability; a wearable device; and oxyhemoglobin saturation.