21 results about "Arterial pulse" patented technology

The invention provides a multi-sensor fusion-based blood pressure dynamic measurement method and an intelligent wearable device. The method comprises the following steps: respectively acquiring an arterial pulse signal, a motion state signal and a photoelectric pulse wave signal of a wearing user based on an arterial pulse sensor, an acceleration sensor and a photoelectric pulse wave sensor; performing interference optimization on an initial peak value characteristic sequence in the arterial pulse signal based on the motion amplitude change sequence of the motion state signal to obtain an optimized peak value characteristic sequence; based on the optimized peak value feature sequence and the waveform feature sequence of the photoelectric pulse wave signal, feature correlation matching of the arterial pulse and the pulse wave is carried out, and a feature correlation result is obtained; the feature matching pair corresponding to the systolic pressure and the feature matching pair corresponding to the diastolic pressure are analyzed based on the feature correlation result, a systolic pressure characterization amplitude is obtained, blood pressure measurement is conducted on the wearer based on the systolic pressure characterization amplitude, and an ambulatory blood pressure measurement result is obtained. The reliability and accuracy of ambulatory blood pressure monitoring are improved.

The invention relates to the technical field of intelligent medical treatment, and provides a blood vessel function detection method based on multi-physiological signal fusion and a related product. The method comprises the following steps: respectively acquiring arterial pulse wave signals of a first measurement part and a second measurement part of a user through a first sensor and a second sensor configured on the wearable equipment; collecting motion state data of a user in the process of collecting the arterial pulse wave signal through an inertial measurement unit configured on the wearable device, and dynamically compensating the arterial pulse wave signal based on the motion state data; extracting a characteristic waveform through a signal processing model based on the dynamically compensated arterial pulse wave signal; according to the first characteristic waveform and the second characteristic waveform after dynamic compensation, calculating the characteristic time difference of the pulse wave conducted from the first measurement part to the second measurement part; and inputting the characteristic time difference, the static physiological parameter of the user and / or at least one waveform morphological parameter into a blood vessel hardness evaluation model to obtain a blood vessel hardness evaluation value.

The invention discloses a multi-artery coupling wearable continuous blood pressure measuring device and method based on multi-modal sensing, and relates to the technical field of medical monitoring. Existing wearable equipment also has inherent limitations in hardware configuration, and the existing devices are generally limited to collection of peripheral signals of a single position; the sensor layout cannot acquire multi-modal physiological signals which are necessary for constructing a high-fidelity hemodynamic model and are distributed at different anatomical positions. The first purpose of the invention is to provide a blood pressure measuring device which has a specific sensor layout and is specially designed to be used for synchronously acquiring central artery blood flow information and peripheral artery pulse signals required for realizing the method, so that hardware support is provided for high-precision personalized blood pressure estimation. The second purpose is to provide a blood pressure measuring method which is based on 0D and 1D hemodynamic models, central and peripheral multi-mode signals can be fused, and the defects of an existing algorithm are overcome.

The present invention relates to design improvements to reflective and transmissive photoplethysmography (PPG) devices to reduce motion artifacts, avoid false and non-physiological baseline drift in the signal, and improve signal quality and the accuracy of various indicators derived from the PPG. The invention can improve the accuracy of all PPG driven parameter estimations, such as continuous measurements of oxyhemoglobin saturation (SpO2), heart rate, heart rate variability, respiratory rate, blood pressure, and arterial pulse wave volume (i.e., peripheral arterial tension measurements and arterial pulse tension measurements). The invention also incorporates the ability to measure and / or track and / or compensate for the variation or absolute value of the applied pressure between the sensor and the surface of the biological subject, which is applicable to all sensors or associated probes.

The present disclosure provides a blood pressure measurement method and system. A controller in the blood pressure measurement system is programmed to: control a pressure application apparatus to apply a first pressure to a user limb, and obtain, via a first sensing apparatus, at least a plurality of pressure oscillation wave signals generated by pulsations of a target artery; determine a first target signal based on the plurality of pressure oscillation wave signals, and determine a diastolic blood pressure on the target artery based on the first target signal; control the pressure application apparatus to apply a second pressure to the user limb, and obtain a second target signal via a second sensing apparatus; determine a target pressure corresponding to the second target signal; and obtain a systolic blood pressure based on at least the target pressure.

Embodiments relate generally to a method of determining oxyhemoglobin saturation comprising: receiving, at a computing device, a first bioimpedance (BImp) measurement signal of a patient having a first frequency and a second bioimpedance measurement signal of the patient having a second frequency different from the first frequency; wherein for each of the first BImp measurement signal and the second BImp measurement signal, an arterial pulse wave is included, the arterial pulse wave representing a change in impedance over time through an artery of the patient; filtering each of the first BImp measurement signal and the second BImp measurement signal; performing feature point extraction on the first filtered BImp measurement signal and the second filtered BImp measurement signal to generate a plurality of arterial pulse wave features; determining, for each of the first BImp measurement signal and the second BImp measurement signal, phase shift information based on the plurality of arterial pulse wave characteristics; and determining a blood oxygen level and a saturation percentage of the patient based on the determined phase shift information.

Provided herein is an optomechanical sensing system. The system can include a surface displacement system worn by a patient, including a deformable surface configured to be positioned against the patient and proximate to a superficial artery thereof, a plurality of optical markers disposed on the deformable surface, and an actuator configured to apply pressure to seat the surface displacement system against the patient such that spatiotemporal movement of the superficial artery causes corresponding movement of the deformable surface and the plurality of optical markers. The system further includes an optical system including an imaging system, a light source, and with or without a mirror, configured to visualize the plurality of optical markers at an oblique angle. The system determines spatiotemporal movement of the superficial artery based on the received plurality of images, and determines a cardiopulmonary parameter associated with the patient based thereon.

System (1) for predicting the risk of occurrence of a hemorrhagic stroke by analyzing the correlation between the carotid biomechanics, sentinel of the cerebral vascular system, and the blood pressure profile of a patient, comprising:a monitoring device (2) capable of being positioned close to a carotid wall, the device comprising at least one vibration sensor (4) configured to measure mechanical waves generated by the arterial pulse wave or any other shear or compression wave propagated in said wall, a memory (8) capable of storing signals transmitted by the at least one vibration sensor, a communication interface (9), an energy source (7) configured to supply power to the at least one vibration sensor (4) and the communication interface (9),an automatic blood pressure measuring device (20) for automatic measurement of the patient's blood pressure, said device being configured to emit a signal representative of the patient's blood pressure over time, the measurement device (20) being synchronized with the monitoring device (2),a computing unit (10) for communicating with the monitoring device (2) and the automatic blood pressure measuring device (20) and configured to analyze measurements from the monitoring device (2) and the automatic blood pressure measuring device (20) through artificial intelligence trained to correlate the measurements representative of the biomechanical state of the wall and the measurements representative of the blood pressure, in order to detect whether there is a risk of occurrence or recurrence of a hemorrhagic stroke in the patient.

The invention belongs to the technical field of arterial blood sampling, and particularly relates to a puncture point positioning method and system based on arterial blood sampling. Pressure sensing and ultrasonic imaging information are integrated, arterial pulsation and blood vessel depth and trend are captured, real-time physiological parameters of a patient are combined, a blood vessel puncture recommendation area with confidence degree evaluation is generated, the puncture risk caused by blood vessel collapse or too large bending degree is effectively avoided, and in the candidate puncture point calibration process, the accuracy of the blood vessel puncture recommendation area is improved. The method not only considers the geometrical relationship between the candidate puncture point and the central axis of the blood vessel, but also considers the tissue density distribution on the puncture path, provides more comprehensive puncture environment information for an operator, corrects the weight coefficient of each parameter in the puncture risk assessment process by introducing an operator habit assessment mechanism, and improves the puncture risk assessment accuracy. According to the method, the selection of the candidate puncture points better conforms to the personal preference of an operator, and finally, visual puncture guidance is provided for the operator through visual guide marks and color gradation marks, so that the puncture difficulty is further reduced.

The invention discloses a self-adaptive dynamic tourniquet tightness control method for trauma first aid, relates to the technical field of tightness control, aims to solve the problems of insufficient hemostasis regulation and control precision and poor individualized adaptability, and provides a self-adaptive dynamic tourniquet tightness control method for trauma first aid by setting initial hemostasis alarm time and collecting arterial pulse amplitude and oxyhemoglobin saturation of a tourniquet contact area in real time. Calculating a blood flow passing characteristic according to the pulse amplitude, evaluating a local blood flow state, analyzing a tissue oxygen supply state based on the oxyhemoglobin saturation, carrying out standardization and weighted summation on the blood flow passing characteristic and the tissue oxygen supply state to generate a hemostasis evaluation coefficient, and carrying out dynamic correction on initial alarm time to obtain actual alarm time. The local pressure value and the blood flow speed are monitored within the time, whether the tourniquet is loosened or not is judged, the blood flow reperfusion time and the microcirculation perfusion density are detected during loosening, the loosening amplitude is comprehensively calculated, whether monitoring continues or hemostasis is stopped or not is determined, and therefore the hemostasis regulation and control precision is improved.

The invention discloses a heart gating implementation method. The heart gating implementation method comprises the steps that artery pulse mechanical vibration signals synchronous with the heartbeat cycle of a human body are collected based on wearable equipment; carrying out filtering and common-mode interference suppression processing on the collected arterial pulse mechanical vibration signal to obtain an effective vibration signal; establishing a time mapping relation between the effective vibration signal and the electrocardiosignal; the trigger point location of the effective vibration signal is converted into an equivalent electrocardio gating trigger point location and transmitted to CT equipment, and heart gating adjustment is carried out; acquiring imaging data in real time, and transmitting the imaging data to the terminal according to a set mode; arterial vibration signals are acquired at multiple points, weak electric signals of 1-2 mV do not need to be acquired, and the precision and anti-interference requirements of a signal acquisition and processing circuit are reduced.

This application relates to the field of smart medical technology, and provides a method and related products for vascular function detection based on multi-physiological signal fusion. The method includes: acquiring arterial pulse wave signals from a first and second measurement site of a user using a first sensor and a second sensor configured on a wearable device, respectively; acquiring motion state data of the user during the acquisition of arterial pulse wave signals using an inertial measurement unit configured on the wearable device, and dynamically compensating the arterial pulse wave signals based on the motion state data; extracting feature waveforms from the dynamically compensated arterial pulse wave signals using a signal processing model; calculating the characteristic time difference of pulse wave propagation from the first measurement site to the second measurement site based on the dynamically compensated first and second feature waveforms; and inputting the characteristic time difference, the user's static physiological parameters, and / or at least one waveform morphological parameter into a vascular stiffness assessment model to obtain a vascular stiffness assessment value.

The present application relates to the technical field of live fingerprint detection, and specifically discloses a live fingerprint detection method based on multispectral and micro-arterial pulse feature fusion, which comprises signal synchronization generation, time domain alignment processing, feature matrix generation, weight dynamic adjustment, cross-validation analysis, abnormal area sampling, live model verification and live authentication output; the present application synchronously collects multispectral reflection intensity and skin displacement fluctuation sequence in the fingerprint area, dynamically adjusts the weight of spectral absorption and pulsation trajectory features, cross-verify outputs local abnormal areas and obtains supplementary feature data, uses a preset live judgment model to perform physiological coupling rule matching, generates a verification result, and activates a forgery attack alarm protocol when the result of three consecutive times does not conform to the live rule; the method effectively improves the accuracy of live detection and enhances the environmental adaptability of the detection algorithm by fusing multispectral and micro-arterial pulse features and combining with an environment adaptive weight mechanism.

The application provides a blood pressure dynamic measurement method based on multi-sensor fusion and a smart wearable device, and the method comprises the following steps: collecting an arterial pulsation signal, a motion state signal and a photoelectric pulse wave signal of a wearing user based on an arterial pulsation sensor, an acceleration sensor and a photoelectric pulse wave sensor respectively; performing interference optimization on an initial peak value feature sequence in the arterial pulsation signal based on a motion amplitude change sequence of the motion state signal, to obtain an optimized peak value feature sequence; performing arterial pulsation and pulse wave feature correlation matching based on the optimized peak value feature sequence and a waveform feature sequence of the photoelectric pulse wave signal, to obtain a feature correlation result; analyzing a systolic pressure corresponding feature matching pair and a diastolic pressure corresponding feature matching pair based on the feature correlation result, to obtain a systolic pressure and diastolic pressure representation amplitude, and performing blood pressure measurement on the wearing user based on the systolic pressure and diastolic pressure representation amplitude, to obtain a dynamic blood pressure measurement result. The application improves the reliability and accuracy of dynamic blood pressure monitoring.

The application provides an ex vivo biological tissue arterial blood supply and venous blood return simulation system, a syringe is arranged in the middle of a base, a linear slide bearing and a rotary disc swing arm mechanism are arranged behind the syringe, a slide rod is slidably supported in the linear slide bearing, the slide rod is connected with the rear end of a syringe plunger handle, the slide rod is driven to slide forward and backward by a DC speed reducer through the rotary disc swing arm mechanism, a transfusion bag containing simulated blood is hung on one side of the base through a transfusion rod, two transfusion pipelines are inserted into the transfusion bag, a pipeline connecting assembly is arranged in front of the syringe of the base, and the syringe, the two transfusion pipelines and an external output hose are connected together through the pipeline connecting assembly. When in use, the external output hose is connected to corresponding blood vessels of an ex vivo biological tissue, so that the ex vivo biological tissue can obtain arterial pulsation and blood flow, and continuous venous return can be realized, so that the ex vivo biological tissue can be used to simulate the simulation training operation of vascular anastomosis of a living animal.

The application discloses a blood pressure monitoring device of piezoelectric needle type PMUT. The blood pressure monitoring device comprises a piezoelectric sensor module, a CMOS circuit module and a wearable assembly. The piezoelectric sensor module comprises a substrate, a sensor array layer and a packaging layer which are sequentially stacked, and a PMUT device at least partially protruding from a surface of the packaging layer. The PMUT device comprises a piezoelectric layer and an electrode layer which are sequentially stacked. The piezoelectric layer covers a top surface of the substrate, and the piezoelectric layer covers a bottom surface of the packaging layer. The CMOS circuit module is integrated with the piezoelectric sensor module. The wearable assembly is used for mounting the piezoelectric sensor module and the CMOS circuit module and provides a wearing function. The piezoelectric sensor module detects a pulse and converts mechanical energy into electrical energy. Output charges pass through a data processing module. According to a piezoelectric dynamics principle of an arterial pulse, an output voltage waveform is converted into a blood pressure value output by a micro-processing unit, and a real-time blood pressure monitoring function is completed. The device is simple to operate, accurate in measurement and can be mass-produced.

A method and system for spatiotemporal management of motion artifacts / blood pressure drifts in an arterial pressure waveform. The system includes an elastomeric sensor array in touch with a surface patch of skin over a superficial artery of a subject, an actuator mounted over the elastomeric sensor array, and a camera mounted on the actuator to capture image data that a controller processes. The controller measures the arterial pressure waveform having motion artifacts caused by elastomeric sensor array deformation on the skin over the artery in the pulsatile area and over the skin adjacent to the artery in the non-pulsatile area. Further, the controller determines spatiotemporal information of the motion artifact in the pulsatile and non-pulsatile areas, correcting the arterial pressure waveform by removing the motion artifact based on the spatiotemporal information to determine the physiological parameters.

The application discloses a virtual-real teaching system integrating first-aid recovery and nerve reflex, and relates to the technical field of medical teaching simulation; a three-level distributed architecture of a student end, a server end and a teacher end is adopted, and the virtual-real teaching system comprises a physical model person, a virtual-real interaction unit and virtual teaching software; the physical model person is integrated with a first-aid recovery module and a nerve reflex module; the first-aid recovery module comprises a chest CPR area, a carotid artery simulation module, a pupil module, an electrocardio module and an AED interface; the nerve reflex module comprises a knee-jerk reflex module and a plantar reflex module; a case engine is built-in the server end; according to operation data uploaded by sensors, real-time operation is carried out according to a predetermined vital sign linkage logic, dynamic change parameters are generated, and the model person hardware state and the teacher end display interface are synchronously updated, so that the dynamic linkage of heart rhythm, pupils and carotid pulse is realized; the first-aid recovery and the nerve reflex training are integrated, and the virtual-real teaching system is suitable for the fusion teaching of clinical first-aid skills and nerve system examination skills.

An example apparatus includes a displacement current sensor configured to measure for a subject one or more sensed electrical signals, wherein the displacement current sensor comprises at least one electrode. The apparatus also includes circuitry configured to process the one or more sensed electrical signals from the displacement current sensor to obtain an electrocardiogram (ECG) signal and a variable impedance signal caused by an arterial pulse wave, wherein the circuitry configured to process the one or more sensed electrical signals to obtain the electrocardiogram signal and the variable impedance signal caused by the arterial pulse wave is configured to measure the variable impedance signal caused by the arterial pulse wave as a modulation of an applied electrical reference signal.

A method and system for spatiotemporal management of motion artifacts / blood pressure drifts in an arterial pressure waveform. The system includes an elastomeric sensor array in touch with a surface patch of skin over a superficial artery of a subject, an actuator mounted over the elastomeric sensor array, and a camera mounted on the actuator to capture image data that a controller processes. The controller measures the arterial pressure waveform having motion artifacts caused by elastomeric sensor array deformation on the skin over the artery in the pulsatile area and over the skin adjacent to the artery in the non-pulsatile area. Further, the controller determines spatiotemporal information of the motion artifact in the pulsatile and non-pulsatile areas, correcting the arterial pressure waveform by removing the motion artifact based on the spatiotemporal information to determine the physiological parameters.