54 results about "Perfusion index" patented technology

The invention discloses an anesthesia depth monitoring system and method based on multiple physiological parameters, and the system comprises a data collection unit which is used for obtaining a perfusion index value, an electrocardiogram signal, a brain wave signal, a blood pressure signal of a patient and the individual feature information of the patient; the signal processing unit is electrically connected to the data acquisition unit and used for processing the signals acquired by the data acquisition unit and calculating the perfusion index change rate, the heart rate variability, the anesthesia consciousness index and the blood pressure fluctuation rate; the parameter fusion unit is electrically connected to the signal processing unit and used for combining the parameters calculated by the signal processing unit with the individual feature information of the patient; the individualized correction unit is electrically connected to the parameter fusion unit and is used for adjusting the comprehensive anesthesia depth score generated by the parameter fusion unit; the method has the advantages that multi-dimensional physiological data and individual characteristics can be integrated, precise evaluation and individualized regulation and control of the anesthesia depth are realized, and the anesthesia safety is improved.

The invention provides a dynamic prediction algorithm for monitoring late-onset infection of a premature infant and an upgrading system. The dynamic prediction algorithm for monitoring late-onset infection of the premature infant and the upgrading system comprise the following steps: a, collecting clinical data of the premature infant, including birth weight, gestational age, 1-minute and 5-minute Apgar scores, right hand perfusion index, lower limb perfusion index and other related clinical information, and b, determining the early-onset infection of the premature infant through medical history collection and physical sign analysis. The method comprises the following steps: collecting data of 11 classification independent variables: prenatal antibiotic use conditions (existence and absence); according to the dynamic prediction algorithm for monitoring late-onset infection of the premature infant and the upgrading system, the infection risk index is effectively calculated through high-risk factors analyzed by the Lasso regression model in combination with clinical basic data of the premature infant, early warning of infection of the premature infant is provided for medical staff, and the accuracy and timeliness of infection prediction are remarkably improved. Besides, the system can automatically remind medical staff to intervene the high-risk child patient through red warning, so that the death rate caused by delayed discovery and delayed treatment is reduced, and the clinical intervention effect is improved.

The invention discloses a real-time multi-mode physiological signal analysis method for myocardial ischemia, and belongs to the technical field of data analys.The technical scheme includes that electrocardiogram, photoelectric volume pulse waves and thoracic impedance signals are synchronously acquired, and phase difference caused by motion displacement is compensated in real time by the aid of a triaxial accelerometer; constructing a multi-dimensional quality evaluation matrix containing an electrocardiogram signal-to-noise ratio, a photoelectric volume pulse wave perfusion index and a chest impedance variance, and jointly judging whether signal reconstruction is triggered or not based on a dynamic threshold value and accelerometer data; a multi-channel signal block which is judged to be low in quality through the quality evaluation matrix and comprises the electrocardiogram and photoelectric volume pulse waves and chest impedance synchronized with the electrocardiogram is input into a generative adversarial network with electrophysiological constraints to be reconstructed, and a reconstructed high-quality electrocardiogram signal is output; and myocardial ischemia key indexes are extracted from the reconstructed signals, and multi-level risk early warning is carried out. The real-time multi-modal physiological signal analysis method for myocardial ischemia has the beneficial effect that the real-time multi-modal physiological signal analysis method for myocardial ischemia is provided.

An electronic device may comprise at least one processor, a photoplethysmography (PPG) sensor. The at least one processor may be configured to cause the electronic device to: detect an external electronic device including a cuff; identify blood flow information via the PPG sensor; obtain compression time information of the cuff and relaxation time information of the cuff; obtain first perfusion index information based on the blood flow information and the compression time information; obtain second perfusion index information based on the blood flow information, the compression time information, and the relaxation time information; identify vascular health information based on a ratio of the first perfusion index information and the second perfusion index information; and display a notification to inform the user of a vascular health condition on the basis of the vascular health information.

The invention discloses a blood glucose data analysis system and method based on artificial intelligence, relates to the technical field of diabetes management, and aims to solve the problems of blood glucose data distortion and poor blood glucose monitoring suitability of gestational diabetes patients and children diabetes patients in a motion scene. The method comprises the following steps: acquiring blood glucose original data, exercise intensity data, skin impedance data, blood perfusion index data and special crowd exclusive physiological data, preprocessing, calculating three types of interference weight factors, substituting into a calibration formula to obtain corrected blood glucose data, generating a structured report, updating the calibration formula according to a period, and optimizing a special crowd model. By means of the method, motion multi-dimensional interference can be eliminated, the small sample modeling problem of special crowds is solved, and the blood glucose data precision and clinical practicability are improved.

The invention relates to the technical field of medical image processing, in particular to a cardiovascular surgery patient circulation state image real-time monitoring and early warning system. Comprising a video acquisition module, an image preprocessing module, a microcirculation evaluation module, a multi-part perfusion fusion module based on differential manifold, a trend prediction and early warning module and a clinical interaction and data integration module. A local perfusion index and a pulsation stability index are extracted after preprocessing, multi-part microcirculation signals are creatively mapped to a differential manifold for characterization, time-frequency dual-channel fusion driven by Riemannian geometry and an attention weighting mechanism are integrated into a whole-body perfusion comprehensive index, modeling is carried out based on a dynamic system on the manifold, and a whole-body perfusion model is established. Early warning can be provided before the conventional blood pressure is obviously reduced, precious time is gained for clinical intervention, invasive complications are avoided through a non-invasive monitoring mode, and whole-course continuous monitoring can be achieved.

This invention discloses an intelligent psychological guidance system for harmonizing the Qi of the internal organs based on TCM emotional differentiation, belonging to the field of medical electronic equipment. The system includes a multi-node physiological signal acquisition module, a central control and data processing module, and an acoustic intervention output module. The system synchronously acquires multi-channel bioimpedance, volumetric pulse wave, and electrocardiogram signals, extracts pulse wave conduction time and local blood perfusion index, constructs Qi characteristic parameters, and maps them to generate emotional tags. The central control module locks the target resonance unlocking frequency according to the tags, modulates low-frequency vibrations with reference audio to synthesize a multimodal signal, and further combines physiological pulse transmission delay to perform phase compensation, controlling the precise output of the intervention signal during ventricular diastole. Steady-state determination and closed-loop tracking are performed based on the dynamic gradient of impedance variance. This invention achieves objective quantification of TCM differentiation and ensures high-precision physical alignment between intervention energy and the hemodynamic state of the internal organs.

Techniques for cuffless blood pressure monitoring with multiparameter correction are described and are implementable to reduce measurement inaccuracies in wearable cuffless blood pressure devices. In an example, a wearable device includes a sensor arrangement to collect physiological timing data indicative of a pulse propagation time along a cardiovascular pathway and a correction sensor that is configured to measure a correction parameter that impacts the pulse propagation time independent of a corresponding change to blood pressure, such as body temperature, skin temperature, perfusion index, hydration level, or muscle activation.  A processor of the wearable device is configured to process the physiological timing data to determine the pulse propagation time and generate a blood pressure measurement based on the pulse propagation time and measurements of the correction parameter.  Accordingly, the techniques described herein generate blood pressure measurements that account for physiological variables that have an independent impact on pulse propagation characteristics.

The application provides a body temperature detection method, a wearable device, an electronic device and a storage medium. The method comprises the following steps: acquiring skin heat flux, skin temperature and a photoplethysmographic signal of a wearing object of the wearable device; calculating a real-time perfusion index based on the photoplethysmographic signal; adjusting the resistance value of the reference equivalent thermal resistance based on the reference equivalent thermal resistance and the real-time perfusion index to obtain a calibrated equivalent thermal resistance; and determining the core temperature of the wearing object based on the calibrated equivalent thermal resistance, the skin heat flux and the skin temperature. The method can improve the accuracy of body temperature detection.

The invention relates to a method for determining a substance concentration in a sample comprising a liquid containing particles, in particular oxygen saturation, comprising the following steps: - Obtaining a first perfusion index based on a reflected first component of an incident first light ray with a first wavelength; - Obtaining a second perfusion index based on a reflected second component of an incident second light beam with a second wavelength; - Receiving a reflected third component of an incident third light ray with a third wavelength, wherein the third light ray is in a wavelength range that is less sensitive to oxygen saturation than the first and second light rays; - Adjust at least one of the perfusion indices in response to the third component received; - Determining the oxygen saturation or a change thereof from at least one adjusted perfusion index and the respective other perfusion index.

A system for determining a global hypoperfusion index (GHI) includes an arterial blood pressure sensor, a ventricular blood pressure sensor, an oximetry module, and an integrated hardware unit including a system processor and a system memory. The system memory includes instructions that cause the system to receive arterial hemodynamic data, ventricular hemodynamic data, and blood oxygen saturation data. One or more right ventricular pressure features, one or more pulmonary artery pressure features, one or more cardiac output parameters, and one or more venous oxygen saturation parameters are derived from the arterial hemodynamic data, the ventricular hemodynamic data, and the blood oxygen saturation data. The GHI is derived by using a predictive decision model based upon the one or more right ventricular pressure features, the one or more pulmonary artery features, the one or more cardiac output parameters, and the one or more venous oxygen saturation parameters.

The invention relates to a nutrition-blood pressure coordinated regulation and control system and method after an esophagus operation. The method comprises the following steps: collecting blood pressure, heart rate, pulse wave and selectable stomach residual amount or abdominal girth as base lines before enteral nutrition is started; a segmented small-dose nutrition challenge is implemented by using a programmable enteral nutrition pump; continuous monitoring is performed during challenge to form a dynamic response curve; calculating a comprehensive rapid perfusion index CRPI on the basis of parameters such as recovery time, and correcting in combination with heart rate variability and drug state; and according to the CRPI risk level, outputting a closed-loop intervention instruction of continuing, delaying or stopping nutrition dosage. The system comprises a nutrition pump, a monitoring module, a control and judgment module and a display and warning interface, and real-time dynamic regulation and control are achieved. By shortening sensing time delay and refining execution stepping, the problem of oscillation caused by delay and quantitative stepping in traditional manual management is solved, local perfusion risks can be recognized in advance, adverse fluctuation is avoided, the nutrition standard reaching speed is increased, and the safety and efficiency of postoperative management are improved.

The present application relates to the technical field of medical image processing, in particular to a real-time monitoring and early warning system for the circulation state image of a cardiovascular surgery patient, comprising a video acquisition module, an image preprocessing module, a microcirculation evaluation module, a multi-site perfusion fusion module based on differential manifold, a trend prediction and early warning module, and a clinical interaction and data integration module; the video of the patient's fingernail bed and lips is simultaneously acquired by a high-frame-rate camera, and after preprocessing, the local perfusion index and pulsatility stability index are extracted; innovatively, the multi-site microcirculation signals are mapped onto the differential manifold for representation; through the time-frequency dual-channel fusion driven by Riemann geometry and the attention weighting mechanism, the whole-body perfusion comprehensive index is integrated; and based on the dynamic system modeling on the manifold, early warning can be provided before the conventional blood pressure significantly decreases, valuable time is won for clinical intervention, the non-invasive monitoring method avoids invasive complications, and whole-process continuous monitoring can be realized.

1. The name of the design product: pediatric oximeter (WS10B). 2. The use of the design product: applied to measure physiological parameters such as pulse rate, blood oxygen saturation, weak perfusion index, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This disclosure provides a method, apparatus, and device for estimating core body temperature. The core body temperature estimation method includes: acquiring the photoplethysmography (PPG) signal of a subject; determining the perfusion index based on the PPG signal; and determining an estimated value of the core body temperature of the subject based on the perfusion index.

The application provides a myocardial infarction detection system based on diffusion speckle, and relates to the field of wearable health detection.The system comprises a laser for exciting a laser signal;an optical fiber probe connected with the laser through a multimode optical fiber for guiding the laser signal to a to-be-detected object and collecting a reflected light signal of the to-be-detected object;a camera connected with the optical fiber probe through a multimode optical fiber for obtaining a diffusion speckle image based on the reflected light signal;and a processing device electrically connected with the camera for obtaining an initial blood perfusion index signal and an initial pulse wave signal based on the diffusion speckle image, reconstructing the initial blood perfusion index signal and the initial pulse wave signal respectively to obtain a target blood perfusion index signal and a target pulse wave signal, and performing myocardial infarction detection based on the target blood perfusion index signal and the target pulse wave signal.

The present invention relates to devices, systems and methods for determining a blood perfusion value of a subject, as well as suitable sensors. The apparatus comprises circuitry configured to: obtain a photoplethysmography (PPG) signal acquired by a sensor comprising a light emitter and a light detector at a measurement location of a subject; determining the modulation depth of the obtained PPG signal; and determining the determined depth of modulation by or from the depth of modulation based on measurement-related information indicative of the length of the optical path of light through the tissue of the subject from the light emitter to the light detector and / or the tissue volume of the tissue of the subject through which the light passes from the light emitter to the light detector The perfusion index is normalized to determine a blood perfusion value of the subject.

The invention discloses a door lock control method and device and an intelligent door lock, the method is applied to the intelligent door lock, and the method comprises the following steps: obtaining a to-be-recognized image, and analyzing the to-be-recognized image to obtain facial feature data of a global face; and processing the facial feature data to obtain a blood perfusion index. Acquiring to-be-processed pulse data of the target user, and processing the to-be-processed pulse data to obtain pulse characteristic parameters. And inputting the blood perfusion index and the pulse characteristic parameter into a preset characteristic fusion model to obtain a control instruction of the intelligent door lock. According to the control instruction, the intelligent door lock is controlled to give out an early warning prompt. According to the door lock control method, signal acquisition and analysis from multiple dimensions are achieved, so that the intelligent door lock is controlled more comprehensively and accurately, finally, early warning prompt is triggered based on the control instruction, accurate and normalized monitoring of the home state of a user is achieved, and effective guarantee is provided for home safety of the user.

The invention discloses an exercise rehabilitation system and method for a PCI postoperative angina pectoris patient, and relates to the technical field of exercise rehabilitation, and the system comprises a perfusion scanning module which is used for carrying out cardiac coronary artery imaging and myocardial perfusion scanning on the patient, and obtaining a myocardial perfusion index of the patient; the danger layering module is used for carrying out danger layering on patients according to myocardial perfusion indexes; the scheme making module is used for making an exercise rehabilitation scheme according to the danger layering result; the data feedback module is used for monitoring the exercise intensity and the heart rate of the patient in the exercise rehabilitation process and adjusting the exercise rehabilitation scheme according to the monitored data. According to the technical scheme, the reason of angina pectoris attack of the patient can be determined, theoretical guidance is provided for further exercise rehabilitation, and the method has high application value.

The invention provides a myocardial infarction detection system based on diffusion speckles, and relates to the field of wearable health detection. The system comprises a laser used for exciting a laser signal; the optical fiber probe is connected with the laser through a multimode optical fiber and is used for guiding the laser signal to an object to be detected and collecting a reflected light signal of the object to be detected; the camera is connected with the optical fiber probe through a multimode optical fiber and is used for obtaining a diffusion speckle image based on the reflected light signal; the processing equipment is electrically connected with the camera and used for obtaining an initial blood perfusion index signal and an initial pulse wave signal based on the diffusion speckle image, the processing equipment conducts signal reconstruction on the initial blood perfusion index signal and the initial pulse wave signal to obtain a target blood perfusion index signal and a target pulse wave signal, and the target blood perfusion index signal and the target pulse wave signal are sent to the camera. And myocardial infarction detection is carried out based on the target blood perfusion index signal and the target pulse wave signal.

The invention provides a medical resource optimization matching method and system for emergency and critical disease rescue, and relates to the technical field of software testing, and the method comprises the steps: obtaining microcirculation perfusion data, wound characteristics, inspection data and basic illness state data of a target patient; obtaining a microcirculation perfusion index dynamic gradient of the target patient according to the microcirculation perfusion data; processing the microcirculation perfusion index dynamic gradient, the trauma characteristics, the test data and the basic illness state data of the target patient by using an illness state grading model to obtain an illness state grade and an organ failure risk probability of the target patient; inputting the disease grade, the organ failure risk probability, the medical resource state matrix, the medical team energy efficiency coefficient and the space-time constraint parameter of the target patient into a resource optimization model to obtain a medical resource scheduling scheme of the target patient; and performing medical resource scheduling according to the medical resource scheduling scheme. By applying the method provided by the invention, patient condition grading and resource requirements can be accurately identified.

The application discloses a kind of to the consciousness level evaluation system for wounded person, it is related to personnel consciousness evaluation grading technical field, including the acquisition module for obtaining the electroencephalogram signal and the photoplethysmogram signal of two channels of brain of wounded person, the digitization processing module of corresponding module electric signal digitization conversion, feature extraction module extracts time domain feature, frequency domain feature and entropy from electroencephalogram digital signal, from the ratio of pulse wave digital signal, calculate blood oxygen saturation and calculate blood perfusion index, consciousness evaluation module passes through fusion feature vector input consciousness state assessment model, output continuous consciousness state score, and with multiple threshold mapping obtains consciousness grade.The system of the application carries out time domain, frequency domain and nonlinear analysis respectively in the feature extraction of electroencephalogram signal and pulse wave signal, and blood oxygen and blood perfusion degree calculation, realizes the quantitative description and grading determination to the consciousness level of wounded person.

The invention discloses a multi-part sensing and machine vision fused vital sign monitoring method for a large-area burn patient, relates to the technical field of medical monitoring, and is used for solving the problems of monitoring blind areas and shock early warning lag in a large-area burn scene. The method comprises the following steps: firstly, combining waveform statistical characteristics and body temperature change, and accurately dividing a hypoperfusion channel and a fall-off channel; then, eliminating eschar dressing interference based on a three-dimensional mask and chromaticity features, and extracting high-signal-to-noise-ratio non-contact signs; then, a self-adaptive weighting matrix is constructed according to the channel state, and the visual weight is dynamically improved to compensate a contact blind area; finally, by analyzing the cross covariance of the heart rate and the perfusion index, haemodynamic discrete features are captured, shock compensation period advanced early warning is achieved, and continuity and accuracy of monitoring data are guaranteed.

The application discloses a blood oxygen measurement method, device and terminal equipment. The measurement method comprises the following steps: acquiring a PPG direct current signal, and acquiring a corresponding direct current component according to the PPG direct current signal; acquiring a PPG alternating current signal, and acquiring M target wave crests and N target wave troughs according to the PPG alternating current signal, the M target wave crests reaching collinearity, and the N target wave troughs reaching collinearity; calculating a corresponding alternating current component according to the ordinate of the M target wave crests and the N target wave troughs; calculating a perfusion index according to the direct current component and the alternating current component; and calculating a blood oxygen saturation according to the perfusion index. The M target wave crests reach collinearity, the N target wave troughs reach collinearity, the alternating current component corresponding to the PPG alternating current signal is calculated according to the ordinate of the M target wave crests and the N target wave troughs, and then the blood oxygen saturation is calculated, so that the influence of noise interference on the blood oxygen saturation can be effectively avoided, and the accuracy of the blood oxygen saturation is improved.

The present invention specifically provides a health monitoring system for the elderly based on a wristband oximeter, comprising a status determination module, a motion index module, a fatigue index module, and an analysis and processing module. The wristband oximeter measures the number of steps taken and also monitors key physiological parameters such as blood oxygen saturation, pulse rate, and perfusion index. These parameters are then analyzed in depth under different motion states to generate motion indexes, fatigue indexes, and coordination indexes. This system enables comprehensive, multi-dimensional monitoring of the elderly's health status, more accurately reflecting their physical condition and enabling the timely identification of potential health issues.

1. Name of the Design Product: Graphical User Interface for a Smart Watch for Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the interface content of the graphical user interface of the smart watch. 4. Picture or Photo Best Showing the Design Key Points: Front View. 5. Being of Conventional Design, the rear view, left view, right view, top view and bottom view are omitted. 6. Use of the Graphical User Interface: To display the heart rate data detected by the smart watch through the graphical interface. 7. Area of the Graphical User Interface in the Product: Inside the display screen of the smart watch. 8. Human-Computer Interaction Method of the Graphical User Interface: Finger touch. 9. Description of the Changing States of the Graphical User Interface: The default state of the graphical user interface is shown in the front view, that is, the Bluetooth connection status is in the upper left corner, the current time is in the upper right corner, and the start button for heart rate testing is in the middle. After clicking the start button, it switches from the front view to State Change Diagram 1; as shown in State Change Diagram 1, in the upper half of the center of the interface is a prompt pattern for the heart rate testing posture, and in the lower half of the center of the interface is the confirmation button for the heart rate testing posture. After clicking the confirmation button, it switches from State Change Diagram 1 to State Change Diagram 2: as described in State Change Diagram 2, as shown in State Change Diagram 2, the blood oxygen, heart rate variability and perfusion index are sequentially displayed downward on the left side of the center of the interface, and the heart rate and respiratory rate are sequentially displayed downward on the right side of the center of the interface.

The invention relates to a microvascular blood flow monitoring method and an alarm type non-invasive wireless skin flap monitoring sensor, the surface of a skin flap is periodically heated, the temperature rise of skin on the surface of the skin flap is measured, and the heat conductivity coefficient and thermal diffusivity physical property parameters of the skin flap are calculated through measured temperature rise data on the basis of a plane heat source principle. The perfusion index of the flap is further solved based on a Pennes equation in combination with the physical property parameters; when the skin flap temperature and the perfusion index, measured by the monitoring sensor, of the patient are lower than the set crisis temperature and crisis perfusion index, an alarm prompt is triggered. Compared with the prior art, non-invasive wireless high-precision real-time monitoring of postoperative skin flap capillary blood flow, skin flap temperature and skin flap edema conditions is achieved, and an alarm function for vascular crisis is achieved.

Systems and methods are provided for remote patient management and monitoring. The patient is monitored with a wireless sensor system connected to an application executing on a patient user computing device. The system continuously monitors physiological parameters, such as, but not limited to, blood oxygen saturation (SpO2), pulse rate, perfusion index, pleth variability index, and / or respiration rate from the photoplethysmograph. The system triggers alarms if the patient physiological data violates thresholds. Care providers review patient data and associated alarm(s) with graphical user interfaces.

The present invention relates to the technical field of waveform matching, and specifically relates to a method for defining a new tissue perfusion index based on the vital waveforms of a monitor. The method includes: collecting arterial blood pressure waveforms and pulse oximetry waveforms, performing digital filtering processing on the original waveforms, and aligning the two waveforms on the time axis; performing consistency matching on the arterial blood pressure waveforms and the pulse oximetry waveforms; in the same cardiac cycle, obtaining the first peak of the arterial blood pressure waveform and the second peak of the pulse oximetry waveform, and calculating a first interval between the time point corresponding to the second peak and the time point corresponding to the first peak; calculating the average value of multiple first intervals, which is denoted as the peripheral perfusion time; selecting multiple consecutive respiratory cycles, and calculating multiple peripheral perfusion times; calculating the average value of multiple peripheral perfusion times, which is denoted as the average perfusion time, and determining the state of the tissue perfusion index based on the average perfusion time, realizing the monitoring of the tissue perfusion state without additional equipment and using the existing monitoring waveforms.