402 results about "Oxygen saturation" patented technology

The invention discloses a multi-parameter dynamic intelligent judgment method for the safety state of an operator, and belongs to the technical field of operation safety monitoring. According to the method, by integrating an intelligent wearable device, a sensor and an eye movement tracking device, physiological parameters (such as heart rate, blood pressure, oxyhemoglobin saturation, electroencephalogram signals and the like), behavior parameters (such as action frequency, posture change and the like), psychological parameters (such as pressure level, fatigue degree and the like) and environmental parameters (such as temperature, humidity, noise and the like) of an operator are collected in real time; and a multi-dimensional monitoring system is constructed. Collected data is subjected to cleaning, standardization and feature extraction and then is input into a safety state judgment model based on a bidirectional long short-term memory network (BiLSTM), the real-time safety state of an operator is dynamically analyzed, and low-risk, medium-risk and high-risk three-level early warning results are output.

The invention relates to the technical field of sewage treatment, in particular to an aerobic aeration treatment system for plateau domestic sewage treatment, which comprises a pretreatment unit, a biological treatment unit, an advanced treatment unit and a recycling unit which are connected in sequence, the system further comprises a data acquisition module, an aerobic aeration intelligent regulation and control module, a biochemical environment constant-temperature maintenance module, a carbon-nitrogen proportion and backflow dynamic regulation and control module, a digital twinning and sludge characteristic simulation module and an energy collaborative scheduling module. Compared with the prior art which adopts a standard aeration strategy and cannot adapt to the special environment of low air pressure and low oxygen partial pressure of the plateau, the system can accurately adapt to the plateau environment by integrating real-time atmospheric pressure and water temperature monitoring, dynamically calculating the oxygen saturation solubility and correcting the aeration control target according to the oxygen saturation solubility, so that the aeration control target is optimized. Stable supply of dissolved oxygen required by biochemical reaction is ensured, and the technical bottleneck of low efficiency of traditional sewage treatment in plateau regions is fundamentally overcome.

The invention provides a vehicle-mounted oxygen production control method and device, a vehicle-mounted oxygen production system and electronic equipment, and relates to the technical field of vehicle control. The method comprises the steps that the oxygen partial pressure in a cockpit, the altitude of the environment where the cockpit is located and the oxyhemoglobin saturation of passengers in the cockpit are obtained; determining an oxygen supply demand value based on the oxygen partial pressure, the altitude and the oxyhemoglobin saturation; and based on the oxygen supply demand value, an oxygen generation module is controlled to start oxygen generation or stop oxygen generation. The starting and stopping of the oxygen generation module are controlled based on the oxygen supply demand value, waste caused by starting of the oxygen generation module when oxygen supply is not needed can be avoided, and therefore the energy consumption of vehicle-mounted oxygen generation can be greatly reduced.

The invention relates to the technical field of medical diagnosis, and discloses a blood oxygen monitoring system fused with sleep rhythm modeling, which comprises the following steps: identifying a sleep stage conversion moment through a photoelectric volume pulse wave signal, detecting a blood oxygen saturation valley value in a window after conversion, and calculating response lag duration; according to the method, the physiological rhythm is converted into a natural probe for the compensatory ability of the respiratory system, dual diagnosis of sleep staging and respiratory function is realized through a single-path signal, and meanwhile, body movement interference is converted into an observation window for the respiratory stress recovery ability. The diagnosis reliability in a home monitoring scene is remarkably improved, the system completes core analysis at an edge node, and a respiratory function evaluation report which can be directly used for clinical decision making is output.

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 relates to the technical field of image processing and biological signal detection, discloses a facial physiological detection method and system based on signal quality driven ROI selection, and aims to solve the problem of signal degradation of a traditional fixed geometric ROI in a complex scene. The method comprises the following steps: collecting a user face video stream through a camera and preprocessing the user face video stream; detecting a face bounding box and dividing the face bounding box into a plurality of sub-regions; calculating the signal-to-noise ratio, the periodic intensity and the motion artifact interference degree of each sub-region; screening an optimal sub-region according to a weighted fusion formula to generate a dynamic ROI mask; extracting a pure rPPG signal from the dynamic ROI mask coverage area; detrending and band-pass filtering are carried out on the rPPG signals, and physiological parameters such as the heart rate and the blood oxygen saturation degree are extracted. The system comprises a face video acquisition module, a face region positioning and segmentation module, a signal quality evaluation module, a dynamic ROI selection module, an rPPG signal extraction module and a physiological parameter estimation module. According to the technical scheme, signal degradation caused by local shielding, illumination abrupt change or attitude offset can be effectively avoided, the signal-to-noise ratio and the stability of the rPPG signal are remarkably improved, and the universality and the robustness of the method are enhanced.

A non-contact, non-invasive health monitoring device and method utilizing advanced artificial intelligence (AI) and machine learning techniques. This system captures real-time image data of a user's face using a high-resolution camera and processes the data to extract physiological signals, including Photoplethysmography (PPG, iPPG, and rPPG) and Ballistocardiography (BCG and iBCG). By leveraging facial landmark detection and deep learning models such as Convolutional Neural Networks (CNNs) and Transformers, the device predicts vital signs such as heart rate, respiratory rate, blood pressure, and oxygen saturation, alongside wellness metrics like stress levels and metabolic health. The device employs robust feature construction and signal processing modules to ensure accurate metrics under varying conditions, with error margins below 5%. Outputs are displayed in real time and integrated with external systems using standardized healthcare protocols. Applications include telehealth, fitness monitoring, public health screening, and automotive safety systems.

The invention discloses a non-inductive physical and psychological health monitoring and early warning system and method before a coal miner goes down a well, and belongs to the technical field of coal mine safety production and personnel health monitoring. A physiological monitoring unit comprises a millimeter-wave radar, an infrared camera and an imaging type photoplethysmography device, the millimeter-wave radar is installed in the center of the top of a monitoring channel, and the infrared camera is installed on the imaging type photoplethysmography device; the infrared cameras are symmetrically installed on the two sides of the channel, the imaging type photoplethysmography devices are integrated in the infrared cameras and used for synchronously collecting the core body temperature and the oxyhemoglobin saturation, and the integrated imaging type photoplethysmography devices focus on the forehead and cheek areas through the RGB channel. Reflected light intensity fluctuation signals caused by blood vessel blood volume changes are collected. Through cooperation of the three devices, non-contact synchronous collection of multiple parameters can be completed without deliberate cooperation of workers, comprehensive and continuous basic data are provided for subsequent physical and psychological health analysis, the wellhead passing efficiency is improved, and the cross infection risk of contact type devices is avoided.

The invention discloses personal life support equipment in a high-altitude environment and a cooperative control method thereof, and relates to the technical field of personal life support equipment, and the equipment comprises a respiration sensor which is arranged on a mask and is used for detecting respiration frequency and phase; the blood oxygen and heart rate sensor is worn on the wrist of the user and used for detecting the blood oxygen saturation degree and the heart rate; the body temperature sensor is attached to the chest of the user and used for detecting the core body temperature; the automatic oxygen supply device is used for providing oxygen; the intelligent heating device comprises partition heating pieces attached to the chest and the four limbs of the user and is used for partition heating; the microcontroller unit is used for formulating an optimal life support strategy according to the sensor data and intelligently and cooperatively controlling the working states of the automatic oxygen supply device and the automatic heating device according to the optimal life support strategy; the sensor data comprises respiratory frequency and phase, oxyhemoglobin saturation, heart rate and core body temperature, and dynamic oxygen supply and body temperature adjustment can be cooperatively controlled.

A portable, multimodal dental diagnostic device for assessing the vitality of the dental pulp, consisting of: a detachable diagnostic component comprising a variety of probes, including the following: a heat probe configured to deliver controlled heat stimuli to a tooth surface and measure the heat response of the dental pulp; an electrical probe configured to deliver low-voltage electrical pulses to the tooth surface and measure the electrical impedance of the dental pulp; and an optical probe configured to assess blood oxygen saturation and microcirculation in the dental pulp using near-infrared light; a microcontroller unit configured to process sensor data from the thermal probe, the electrical probe and the optical probe, to calibrate measurements based on the oral base temperature and the ambient conditions, to aggregate multimodal sensor data and to control the operation of the thermal probe, the electrical probe and the optical probe; a cloud platform configured to receive and store aggregated sensor data, run artificial intelligence algorithms to analyze multimodal sensor data and generate diagnostic insights that include vital signs and diagnostic probabilities; a user application that is communicatively connected to the cloud platform and configured to wirelessly receive aggregated sensor data, display detailed diagnostic reports with vital signs and trends to the user, integrate with electronic health data systems, and issue alerts in case of abnormal readings; a wireless communication module connected to the microcontroller unit, configured to transmit the aggregated sensor data to the cloud platform; a display interface configured to show real-time feedback from the probes, including vitality assessments and sensor readings; and a main body containing the microcontroller unit, a rechargeable power supply and the display interface, wherein the rechargeable power supply can be charged via the current provided through a charging port on the main body, and wherein the main body is also equipped with on / off and start / stop switches; the device is configured to provide a non-invasive, quantitative real-time analysis of dental pulp health by combining physiological responses from thermal, electrical, and optical measurements.

The invention discloses an oxygen therapy instrument control system and method and a storage medium, and the system comprises an oxygen saturation obtaining module which is used for obtaining the current blood oxygen saturation value of a user; the air and oxygen flow control module is used for controlling the mixed air and oxygen flow; the oxygen concentration control module is used for controlling the concentration of oxygen in the air-oxygen gas; and the analysis control module is used for inputting the initial air-oxygen flow and the oxygen concentration, and carrying out stepped control adjustment on the air-oxygen flow and the oxygen concentration according to the current blood oxygen saturation value of the user, so that the equipment parameters of the oxygen therapy instrument gradually approach to the body characteristics of the user. Gradient adjustment and real-time calculation can be carried out, adjustment is accurate, intelligent regulation and control are achieved, it is guaranteed that the oxygen therapy instrument is suitable for the physical condition of a user in real time, real-time manual adjustment is not needed, and discomfort of the user or oxygen waste caused by inapplicable parameters is also avoided.

An apparatus for monitoring an oxygen saturation level of a wearer of the apparatus includes a processor, a memory operably coupled to the processor, a first housing portion, a second housing portion, and a connection member. The first housing portion includes at least one light-emitting diode (LED), and the second housing portion includes a photodetector. The connection member is mechanically coupled to each of the first housing portion and the second housing portion. The apparatus is sized and shaped to be worn about a portion of an ear of a wearer of the apparatus. During operation, the at least one LED emits light in a direction toward the photodetector. A portion of the emitted light passes through the portion of the ear prior to arriving at the photodetector. The photodetector detects a signal in response to the portion of the emitted light, and the memory stores instructions to cause the processor to calculate an oxygen saturation level of the wearer based on the detected signal.

An apparatus for evaluating cerebral autoregulation includes a data acquisition unit configured to acquire blood pressure data and oxygen saturation data of a patient undergoing surgery, a correlation coefficient calculation unit configured to calculate correlation coefficients between the acquired blood pressure data and the acquired oxygen saturation data, a filtering unit configured to filter the calculated correlation coefficients using a moving average filter having a predetermined time window, and a cerebral autoregulation evaluation unit configured to evaluate the cerebral autoregulation of the patient undergoing surgery based on the filtered correlation coefficient.

The invention belongs to the field of artificial intelligence and contact type measurement, and discloses a blood oxygen saturation degree measuring method based on a smart phone camera. The method comprises the following steps: acquiring fingertip video data by using a smart phone under the condition of no external equipment, extracting a pulse photoplethysmography (PPG) signal from the fingertip video data, and constructing a multi-dimensional feature set through feature extraction and calculation; furthermore, the invention provides a two-channel deep learning model fusing a convolutional neural network and a long-short term memory network, the multi-dimensional feature set and the preprocessed PPG signal are processed in parallel, the advantages of the two networks in the aspects of feature extraction and time sequence modeling are fully exerted, and the accuracy of feature extraction and time sequence modeling is improved. And the sufficiency of the extracted features and the generalization ability of the model are ensured, so that the accurate estimation of the oxyhemoglobin saturation is realized. The research provides a feasible scheme for health self-examination in a family environment.

An embodiment of a spectrophotometric device for measuring blood oxygen saturation includes a light source, a detector for detecting a light signal reflected by a subject's tissue, an electronic data processing unit to calculate blood oxygen saturation based on the light signal, and a motion sensor for detecting a motion signal indicative of motion of the light source and / or the light detector. The electronic data processing unit may discard a light signal measured by the detector if the motion signal detected by the motion sensor exceeds a predetermined threshold value. An embodiment of a method for measuring blood oxygen saturation includes emitting a light signal into a subject's tissue, detecting the light signal reflected by the tissue, calculating blood oxygen saturation using the light signal measured by the detector, and detecting a contact signal indicative of contact between a subject's skin and the light source and / or the detector.

The invention relates to the technical field of operator safety management, and discloses a non-contact physiological status rapid screening method and system and a medium, and the method comprises the steps: collecting an RGB three-channel space-time image sequence of a facial region of interest; carrying out illumination correction on the RGB three-channel space-time image sequence by adopting an adaptive gamma correction algorithm, carrying out end-to-end noise reduction processing on the illumination correction image sequence by utilizing a one-dimensional convolutional neural network auto-encoder noise reduction algorithm, and separating a remote photoelectric volume pulse wave tracing pulse signal; calculating physiological indexes of heart rate, heart rate variability and oxyhemoglobin saturation based on the remote photoplethysmography pulse signal; and performing grading judgment on the physiological indexes based on the physiological index grading standard, determining a final post suitability judgment grade in combination with the wooden barrel effect model, and generating a grading early warning signal. According to the method, accurate and rapid evaluation of the physiological state of the operator in a complex environment can be realized, the individual health degree can be comprehensively and objectively considered, and decision support is provided for reasonable distribution of posts and efficient configuration of personnel.

A system for real-time prediction of heart disease and to support clinical decisions; the system includes: a patient data acquisition module configured to receive multimodal inputs, including physiological signals selected from electrocardiographic waveforms, blood pressure readings, heart rate readings, and oxygen saturation readings, as well as demographic and lifestyle information, including age, gender, cholesterol levels, smoking habits, and family medical history; a preprocessing engine configured to perform data cleansing, imputation of missing values, categorical coding, and feature scaling, so that the input data is normalized and converted into a format suitable for machine learning; a processing core comprising a multi-core CPU / GPU system-on-chip operationally coupled with a secure storage unit, wherein the processing core is configured to execute a variety of pre-trained machine learning models, including Naive Bayes, Random Forest, Logistic Regression and Decision Tree classifiers; a model evaluation unit configured to calculate validation metrics such as precision, recall, F1 score and area under the curve for each of the models and dynamically select the model with optimal performance to generate real-time predictions for the risk of heart disease; a display interface configured to present predictive results in the form of risk probability values, confidence indices, and actionable recommendations that are mapped to clinical treatment guidelines; and a communication interface configured to transmit emergency alerts based on high-risk predictions to remote caregivers, hospitals, and emergency response systems via wireless communication protocols such as WLAN, Bluetooth, and 4G / 5G cellular connections.

The invention discloses a nose clip type oxyhemoglobin saturation detector which comprises a detector body, the detector body comprises two nose clip parts and a C-shaped connecting part, the two nose clip parts are arranged at the two ends of the C-shaped connecting part, and a main control module, an LED light source module and a photoelectric receiving module are arranged in each nose clip part; and a flexible pressure sensing module is further arranged on the nasal septum contact surface of the nose clip part. When the nose clip type oxyhemoglobin saturation detector is used, the detector body is placed on the nasal septum of a patient, then the nasal septum contact faces of the two nose clip parts make contact with the surface of the nasal septum of the patient in an attached mode, and the LED light source module, the photoelectric receiving module and the flexible pressure sensing module are electrically connected with the main control module. The LED light source module, the photoelectric receiving module and the main control module are matched to collect the blood oxygen saturation of a patient; and the flexible pressure sensing module is matched with the main control module to meet the requirement of a clamping state, so that the discomfort of a patient is reduced.

The embodiment of the invention discloses a vehicle cabin oxygen supply control method and device, a vehicle and a storage medium, and the method comprises the steps: collecting image data of passengers in a vehicle cabin and pressure data of seats, and determining the types of the passengers based on the image data and the pressure data; based on the passenger type, the passenger blood oxygen saturation degree, the vehicle altitude and the cabin oxygen concentration, whether oxygen needs to be supplied to a vehicle cabin or not is judged; when the judgment result is that oxygen needs to be supplied to the vehicle cabin, determining the total oxygen demand based on the basic oxygen demand of each passenger category and the number of passengers; and oxygen is supplied to the vehicle cabin based on the total oxygen demand, so that the oxyhemoglobin saturation of the passenger is maintained in a blood oxygen reference range, and the oxygen concentration of the cabin is stabilized in an oxygen concentration standard range. According to the embodiment of the invention, the flexibility of a trigger mechanism and the oxygen supply accuracy during oxygen supply can be improved.

The invention relates to an oxygen supply device and an intelligent oxygen supply amount adjusting method, belongs to the technical field of medical equipment, and solves the problems of low resource utilization rate and poor individual comfort caused by extensive oxygen supply in the prior art. The oxygen supply device comprises a vibration sensor used for collecting weak vibration signals of a human body; the signal processing platform is used for extracting a respiration signal, a heart impact signal and related characteristics of the respiration signal and the heart impact signal in the human body weak vibration signals and calculating the blood oxygen saturation degree; regulating and controlling the oxygen supply amount and generating a corresponding regulation and control command by monitoring the change of the oxyhemoglobin saturation and the breathing signal; and the oxygen supply output device is used for adjusting the state of a valve to carry out oxygen supply output according to the regulation and control command of the signal processing platform. Through undisturbed non-intrusive real-time monitoring of vital signs, real-time intelligent adjustment of oxygen supply is achieved, the comfort of oxygen supply is improved, and energy consumption and resource waste are reduced.

The utility model discloses a blood extracorporeal circulation device, which belongs to the technical field of blood extracorporeal circulation equipment and comprises an inner tube and an outer tube, the inner tube and the outer tube are integrally nested, one end of the outer tube is connected with an air inlet tube, the air inlet tube is communicated with oxygen inlet equipment, and the other end of the outer tube is connected with an air outlet tube. A temperature changer and a flow speed controller are connected between one end, far away from the air outlet end, of the outer pipe and the oxygen inlet equipment; one end of the inner tube is a liquid inlet end for transporting blood, the other end of a blood inlet of the inner tube is a liquid outlet end, and the liquid outlet end is connected with a temperature sensor, an oxygen saturation sensor, a blood pump and a microembolus filter; the part, in the outer pipe, of the inner pipe is made of a gas exchange membrane material, and the liquid inlet end of the inner pipe is opposite to the gas inlet pipe of the outer pipe. The blood temperature rising process is safer, meanwhile, in the blood temperature rising process, the oxygen saturation index in the blood can be directly adjusted, the blood oxygen value is simple, convenient and controllable on the basis of convenient temperature rising, temperature control and oxygen saturation of in-vitro blood circulation are carried out at the same time, and operation is easy and safe.

The invention relates to the technical field of blood oxygen monitoring and early warning, in particular to a blood oxygen saturation monitoring and early warning system and method based on an oximeter. The method comprises the following steps: determining physiological information in two states by analyzing historical bracelet data of a user in a motion state and a resting state, screening out a body part which is most suitable for detection of an oximeter based on a measurement position difference for data acquisition, then calculating a recovery speed of blood oxygen fluctuation of the user, simulating a blood oxygen fluctuation range according to the recovery speed, and calculating the recovery speed of the blood oxygen fluctuation of the user. Therefore, a reasonable interval of blood oxygen change is determined, finally, the interval serves as an early warning reference, an abnormal alarm is triggered when the real-time blood oxygen data exceed a set range, and accurate and dynamic blood oxygen monitoring and health management are achieved. According to the method, the blood oxygen measurement position is optimized by analyzing motion and resting data, a dynamic early warning interval is established in combination with a fluctuation rule, and accurate blood oxygen abnormity monitoring and early warning are achieved.

The invention relates to the technical field of respiratory function monitoring, and discloses a pulmonary ventilation blood flow distribution real-time monitoring method and evaluation system based on a sensor. The method comprises the following steps: acquiring multi-modal data such as a blood oxygen saturation waveform, an airflow rate waveform and a thoracic pressure waveform of a lung area; performing time synchronization processing on the data to generate a time alignment sequence; dividing the data into an inspiration phase, an expiration phase and a transition phase according to a preset rule; extracting time-frequency domain features from each phase segment, and constructing a multi-dimensional respiration feature matrix; identifying an abnormal breathing mode and marking an abnormal section through breathing phase switching frequency analysis; decomposing the normal segment feature matrix by using a lung pathological feature library to generate a pathological feature vector; a pathological feature vector is optimized through a ventilation and blood flow coupling model; and carrying out abnormal region positioning based on the lung pathology propagation network, and generating a lung partition function evaluation result. The method realizes non-invasive and real-time monitoring, and is suitable for scenes such as clinical monitoring and rehabilitation evaluation.

The invention relates to the technical field of image processing, and discloses a facial health state assessment method and system based on layered optical modeling. The objective of the invention is to solve the problems of poor face health state evaluation precision and robustness caused by rough optical modeling, mixed reflection components, weak environmental adaptability and insufficient multi-dimensional health index fusion capability in the prior art. The method comprises the following steps: synchronously acquiring a user face video sequence comprising at least two different spectral bands through a multispectral imaging device; constructing a multilayer optical transmission model of the skin tissue, and separating a specular reflection component and a diffuse reflection component from the face video sequence; extracting a physiological time sequence signal related to subcutaneous blood flow activity from the separated diffuse reflection component, and calculating heart rate, heart rate variability and blood oxygen saturation parameters; and fusing the physiological parameters and expression and micro-expression features extracted from the facial video sequence, and outputting quantitative evaluation results of fatigue degree, pressure level and emotional state through a pre-trained deep neural network model. The system comprises a multispectral image acquisition module, a layered optical modeling module, a reflection component separation module, a physiological parameter inversion module and a health state evaluation module. According to the technical scheme, the signal-to-noise ratio and stability of physiological signal extraction in a complex illumination environment can be remarkably improved, the adaptability to individuals with different skin colors and dynamic illumination conditions is enhanced, and more accurate and more robust judgment of the high-order health state is achieved.

A self-regulating oxygen delivery system (100) for COPD, comprising: an oxygen source designed to provide medical oxygen; a sensor module configured to record physiological parameters such as oxygen saturation (SpO2), respiratory rate and pulse rate; a microcontroller-based control unit that is functionally connected to the sensor module and the oxygen source; and an intelligent flow control mechanism controlled by the microcontroller, the system automatically adjusts the oxygen flow in real time based on the recorded physiological parameters to maintain optimal oxygen saturation levels.

Existing pulse oximeters have impaired accuracy in measuring blood oxygen levels (SpO2) in patients of color, where the presence of melanin in the skin tends to interfere with measurements of pulse oximetry, resulting in an overestimation of SpO2. Thus, the pulse oximeter often reports a higher oxygen saturation for patients with darker skin tones, often with increasing bias as the actual saturation (SaO2) decreases. This bias is further reinforced by calibration based on individuals with light skin pigmentation, which may lead to inequitable healthcare for patients of color. Our proposed solution is to modify current pulse oximetry calculations—which utilize the relative tissue absorbance of red and infrared light to estimate SpO2—to account for the concentration of melanin by additionally measuring the skin absorbance of UV˜A light. This derived concentration of melanin can then be used to modify the pulse oximetry algorithm output, thus estimating SpO2 more accurately for patients of color.

An apparatus for monitoring an oxygen saturation level of a wearer of the apparatus includes a processor, a memory operably coupled to the processor, a first housing portion, a second housing portion, and a connection member. The first housing portion includes at least one light-emitting diode (LED), and the second housing portion includes a photodetector. The connection member is mechanically coupled to each of the first housing portion and the second housing portion. The apparatus is sized and shaped to be worn about a portion of an ear of a wearer of the apparatus. During operation, the at least one LED emits light in a direction toward the photodetector. A portion of the emitted light passes through the portion of the ear prior to arriving at the photodetector. The photodetector detects a signal in response to the portion of the emitted light, and the memory stores instructions to cause the processor to calculate an oxygen saturation level of the wearer based on the detected signal.

The invention relates to a wirelessly usable sensor system, wherein the sensor system is suitable for being attached to the skin of a person and comprises the following components: (a) a measuring sensor which is suitable for measuring the oxygen saturation or the tissue perfusion of the skin covered by the sensor system and / or of the underlying tissue and outputting said oxygen saturation or tissue perfusion as a measured value; (b) an evaluation unit which is connected to the measuring sensor, is suitable for evaluating the measured value output by the measuring sensor, for comparing said measured value with a reference value and for outputting a signal if the measured value deviates from the reference value by a predetermined amount, and is suitable for learning the normal state of the tissue of a patient, for identifying patterns in the measured values measured by the measuring sensor by searching for repeating regularities in the sensor data and analyzing deviations from the determined normal state over a certain period of time, and for outputting a signal if the pattern deviates from a regularity; (c) a rechargeable energy store which supplies energy to the measuring sensor and to the evaluation unit and to further optional electronic components, and (d) a housing in which the components (a) to (c) and further optional electronic components are contained, wherein the housing is closed and impermeable to liquid such that the components (a) to (c) and further optional electronic components are protected from liquid. The sensor system is preferably used in medicine in decubitus prophylaxis.

The invention provides a stepped air bag control method for preventing venous thrombosis based on infrared detection, and relates to the technical field of medical instrument control, and the method comprises the steps: obtaining the tissue oxygen saturation of at least one monitoring point of a target limb of a target user through a near-infrared sensor; when the target user is a hemiplegic individual, determining a control parameter of the stepped air bag according to the tissue oxygen saturation, and controlling the stepped air bag worn by the target limb to work according to the control parameter, so that the tissue oxygen saturation of the target limb reaches a preset state; the tissue oxygen saturation difference value of the hemiplegic side lower limb and the healthy side lower limb of the target user is smaller than a preset balance threshold value. According to the method provided by the invention, the stepped air bag can be dynamically controlled according to the real-time blood circulation state of the individual, the suitability, the real-time performance and the safety of venous thrombosis prevention of the limbs of the paralyzed individual are improved, and the use requirements of different individuals are met.

This device for detecting oxygen saturation of percutaneous muscle comprises a light source for causing light to enter the body, and a first light detector and a second light detector for detecting reflected light reflected in the body. The second light detector is positionally shifted, in the circumferential direction about the light source, from a first imaginary line linking the light source and the first light detector.