77 results about "Taking blood pressure" patented technology

The invention relates to a multi-mode heart and cerebral hemodynamics monitoring method and device, and belongs to the technical field of medical equipment. According to the method, brain absorbance information and pulse wave information at the middle artery of the brain are obtained based on a near infrared spectrum technology by utilizing the relevance among the cardiac output, blood pressure, intracranial pressure and cerebral perfusion pressure of a human body, cardiac output information and cuff-free blood pressure information are obtained based on a thoracic impedance method, and physiological signals are obtained based on the two methods; and carrying out fusion processing to obtain a multi-modal signal, and further constructing a non-invasive monitoring model of non-invasive intracranial pressure, cardiac output, blood pressure and cerebral perfusion pressure, so as to realize continuous non-invasive monitoring reflecting human heart and cerebral hemodynamic parameters. According to the invention, through fusion application of multi-mode signals, the mechanism of cardio-cerebral hemodynamics interaction can be effectively disclosed, and a more effective, safer and noninvasive monitoring means is provided for clinic.

A system and method for measuring blood pressure. In some embodiments, a system includes a speckleplethysmography sensor and a processing circuit. The system may be configured: to perform, using the speckleplethysmography sensor, blood flow measurements of a subject, and measurements of cuff pressure of a cuff worn by the subject, while the cuff pressure varies; and to calculate, from the blood flow measurements and the cuff pressure measurements, a first blood pressure.

The invention provides a blood pressure detection method, wearable equipment and a storage medium. The method is applied to the wearable device, and the wearable device comprises a motion sensor and a PPG module. The wearable device obtains motion data collected by the motion sensor and a first PPG signal collected by the PPG module; under the condition that the motion data and / or the first PPG signal meet the first condition, the wearable device determines whether the user is in a sleep state or not; when it is determined that the user is in the first sleep event, the wearable device obtains a first blood pressure value; the first sleep event comprises any one or more of the following events: an OSA event, an REM event, an NREM sleep event and a central sympathetic nerve activity increasing event. When the specific sleep event is detected, the blood pressure measurement is started, and when the specific sleep event is not detected, the blood pressure measurement is stopped, so that the interference on the sleep of the user can be reduced, the power consumption of the wearable equipment can be reduced, and the user experience is improved.

The invention relates to the field of medical health, and provides a blood pressure data management method and system for a face recognition blood pressure meter, and the method comprises the steps: firstly obtaining and detecting a face image of a user, recognizing features, matching the features with a user face database to obtain identity data, extracting detailed physical sign parameters, calculating a health index, and measuring blood pressure based on the health index. Comprising the following steps: calculating a dynamic blood pressure change value and a resting blood pressure value, calculating a pulse pressure value, performing state analysis and risk detection on a detected user, determining a blood pressure index by grouping data, searching an index range to find abnormal blood pressure data, marking an abnormal blood pressure label, triggering a signal device to generate a blood pressure alarm signal, and sending the blood pressure alarm signal to a remote monitoring terminal. The analysis unit analyzes the abnormal blood pressure data to generate a blood pressure data report. According to the invention, the coordination management of blood pressure data can be improved.

The invention relates to the technical field of hemodialysis, and discloses a hemodialysis ultrafiltration amount adjusting system based on multi-parameter self-adaptive control, which is used for solving the problem of insufficient prediction and prevention precision of a hemodialysis induced hypotension risk in a traditional system. According to the method, firstly, multi-parameter physiological data of the blood volume, the blood pressure and the ion concentration are synchronously collected in the whole dialysis process, then a physiological state data set is constructed through unified standardization and correlation matching, related change modes of the blood volume and the blood pressure are extracted, and ion deviation is superposed to form comprehensive risk characteristics; the risk characteristics are compared with a preset threshold value through trend analysis, the weight of each risk component is adjusted in a self-adaptive mode, a hypotension risk trend index is generated, the ultrafiltration rate is dynamically adjusted in a graded mode according to the indexes, the indexes are coupled with a real-time physiological data feedback closed loop, and therefore the prediction precision and the regulation and control refinement level of dialysis-induced hypotension are improved.

Provided in the present application are a wearable electronic device, and a blood pressure measurement apparatus, an airbag assembly and an electrical connector. A device main body of the wearable electronic device is connected to an airbag component by means of the electrical connector; an air pressure measurement component is further provided on one side of a mainboard component; when the wearable electronic device is used for measuring blood pressure, the air pressure measurement component can be used for measuring an air pressure value of an inflation chamber; a pressure measurement component is provided inside an airbag body and can be used for measuring a pulse wave amplitude of the wrist of a user; and the mainboard component can determine a blood pressure value by means of combining an air pressure value of the airbag body with the pulse wave amplitude of the wrist of the user, thereby facilitating an improvement in the accuracy of the wearable electronic device measuring blood pressure. Moreover, the electrical connector has both an airflow channel and a conductive structure, and thus an air path between an air bag and an air pump can be connected, and a circuit between the pressure measurement component and the mainboard component can also be connected, such that the problem of structural limitations when the airbag component is connected to the device main body can be solved.

A wearable device (100), comprising a motion sensor (203G) and a PPG module. A blood pressure measurement method applied to the wearable device, comprising: the wearable device (100) acquiring motion data collected by the motion sensor (203G) and a first PPG signal collected by the PPG module; when the motion data and / or the first PPG signal satisfy a first condition, the wearable device (100) determining whether a user is in a sleep state; and when it is determined that the user is in a first sleep event, the wearable device (100) acquiring a first blood pressure value, the first sleep event comprising any one or more of: an OSA event, an REM event, an NREM sleep event, and an elevated central sympathetic nerve activity event. When a specific sleep event is detected, the blood pressure is measured, and when no specific sleep event is detected, the blood pressure is stopped from being measured, thereby reducing the interference to the sleep of the user, reducing the power consumption of the wearable device (100), and improving the user experience.

The present application provides an electronic device for measuring blood pressure. The electronic device for measuring blood pressure of the present application comprises a measuring assembly, an airbag and a fluid pipeline; the fluid pump and the pressure sensor in the measuring assembly are connected to the airbag through a first fluid pipeline and a second fluid pipeline respectively, the first pipe opening of the first fluid pipeline and the second pipe opening of the second fluid pipeline are located on the same side of the airbag, and the opening direction of one of the first pipe opening and the second pipe opening is away from the other, so that the first pipe opening and the second pipe opening are far away from each other. In this way, the interference of the airbag airflow on the pressure sensor is reduced, and the measurement accuracy of blood pressure is improved.

A wearable device for non-invasively measuring blood pressure using multi-wavelength photoplethysmography (PPG) signals obtained from peripheral blood vessels. The wearable device is calibrated using PPG signals measured distal to the wearable device and analyzed in order to create a cardiovascular profile of a wearer. After calibration, windows of PPG signals are analyzed to provide a blood pressure estimation, based on the created profile. The current invention utilizes single-site measured PPG signals in order to make a prediction of the wearer's blood pressure. By using a combination of multi-wavelength PPG waveform features and a range of vital signs calculated by the wearable device, the device is able to provide a more accurate and robust prediction of blood pressure compared to existing methods. This has important implications for clinical settings where frequent and remote monitoring of blood pressure is necessary for managing a range of health conditions.

The invention belongs to a non-invasive blood pressure measurement method, and provides a blood pressure measurement method based on forearm local pulse transit time and a related device aiming at the technical problems that an existing blood pressure measurement method based on the forearm local pulse transit time is weak in relevancy and prone to being affected by complex factors. Non-invasive blood pressure measurement is realized by using an artificial neural network, and by synchronously detecting two paths of front arm local photoelectric volume pulse wave signals, front arm local pulse conduction time which is not highly related to blood pressure is taken as a core; in combination with demographic features having high correlation to blood pressure and other hemodynamic features except local pulse transit time, including time domain features, frequency domain features, time domain statistical features and frequency domain statistical features, sending the features to the trained prediction network model for prediction to obtain a model including systolic pressure, diastolic pressure, blood pressure, blood pressure, blood pressure, blood pressure, blood pressure, blood pressure, blood pressure and the like. And real-time blood pressure data of pulse pressure difference and average pressure.

This application provides a blood pressure measurement quality control method, device, terminal, and medium based on artificial intelligence image recognition. The invention uses facial recognition technology to store the facial information of subjects undergoing their first standardized blood pressure measurement. Before subsequent standardized blood pressure monitoring and follow-up, subjects can automatically log into the system via facial recognition. The invention also uses artificial intelligence image recognition and processing technology to perform quality control on subjects undergoing standardized blood pressure measurements, ensuring standardized measurement posture and effectively reducing measurement errors. Furthermore, if inaccurate posture is detected during blood pressure measurement, the invention will promptly remind the subject to adjust their posture through various means (such as voice, screen display, or flashing warning lights). Further, the invention matches a large amount of standardized blood pressure measurement data with facial information, which can be used to analyze and identify the facial features of hypertensive patients, thereby providing new clinical diagnostic and treatment evidence for hypertension.

The invention belongs to the technical field of artificial heart, and discloses an artificial heart magnetic suspension blood pump motor system technology based on wireless energy supply. The system is composed of a data acquisition module, a control algorithm module and an execution module. The data acquisition module acquires information such as blood flow, blood pressure, temperature and energy through various sensors and transmits the information to the control algorithm module. The control algorithm module adopts a model prediction control algorithm and calculates optimal control parameters according to the collected information. The execution module comprises a magnetic suspension blood pump motor, and the rotating speed of the magnetic suspension blood pump motor is dynamically adjusted according to the control parameters to meet physiological needs of the patient. According to the magnetic suspension blood pump motor system based on wireless energy supply, the problems of friction, energy loss and heating are reduced, and the reliability of the system is improved. And through a wireless energy supply mode, the movement freedom degree of the patient is effectively improved, and the system stability and the service life are enhanced.

1. The name of the design product: sphygmomanometer (HR-S501). 2. The use of the design product: for measuring blood pressure. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The invention relates to a biological signal processing technology, in particular to a noninvasive continuous blood pressure estimation system based on a subject adaptive feature modulation mechanism, which is characterized in that an individual prior embedding vector is generated through an individual prior embedding vector generation module; the subject adaptive feature extraction module performs real-time multi-level dynamic modulation on the preprocessed time sequence physiological signal according to an individual prior embedded vector, and outputs a high-dimensional time sequence feature map; the sequence processing module carries out time sequence dependence modeling and context refining on the high-dimensional time sequence characteristic pattern, and outputs time sequence characteristics; the cross-modal attention fusion module splices the individual prior embedded vectors and the time sequence features; the spliced feature vectors are input into a multi-head attention fusion module, dynamic cross-modal feature weighted fusion is achieved, and high-dimensional feature vectors are obtained; and the blood pressure regression output module is used for mapping the high-dimensional feature vector through a full connection layer and carrying out regression to obtain estimated values of systolic pressure and diastolic pressure. The problem that an existing static mapping normal form cannot deal with individual heterogeneity is solved.

An implantable hemodynamic monitoring system comprising a sensor comprising a substrate and a fiber optic connected to the substrate, the sensor configured to be implanted within a blood vessel, wherein the fiber optic comprises one or more reflective gratings, and an interrogator positioned on a skin surface at a position underlying the implantation site of the sensor enabling wireless communication by passing light through the skin to the sensor. Also described herein is a method of measuring blood pressure.

A method for measuring blood pressure includes the steps of placing a body part on a biometric monitoring device such that the body part covers a PPG module and a pressure sensor, instructing a user to adjust a force applied by the body part to the pressure sensor to achieve a series of discrete stage target pressures, a user is instructed to maintain the pressure applied to the pressure sensor at each discrete stage target pressure during a corresponding measurement period, and a blood pressure measurement is performed during one or more measurement periods. The biometric monitoring device may include a multi-wavelength PPG module and a pressure sensor. The biometric monitoring device is connected to a mobile computing device that executes an application that controls the biometric monitoring device.

The disclosure provides a device for non-invasive blood pressure measurement comprising a blood pressure cuff positioned around a limb with an optical sensor integrated into the distal end. The optical sensor comprises a transmission optical sensor with light source and detector on opposite sides of a digit distal to the inflatable portion. A processing device controls cuff inflation and deflation while capturing successive optical plethysmographic waveforms during deflation. The processing device high-pass filters waveforms to produce filtered signals with equal area above and below baseline, multiplies corresponding points of filtered waveforms to generate product values, and sums products to determine concordance measures. The device detects initial returning pulsations by identifying when initial low-amplitude optical pulsations have same shape as larger amplitude pulsations during deflation. Systolic blood pressure is determined when concordance measures indicate shape concordance between initial and subsequent optical pulsations. The device measures blood pressure and calculates ankle-brachial indices.

A method for measuring blood pressure the steps of placing a body part on the biometric monitoring device such that the body part is covering the PPG module and the pressure sensor, instructing the user to adjust the force applied by the body part to the pressure sensor to reach a series of discrete stage target pressures, instructing the user to hold the pressure applied to the pressure sensor at each of the discrete stage target pressures for a corresponding measurement period, and taking a blood pressure measurement during one or more of the measurement periods. The biometric monitoring device can include a multiwavelength PPG module and a pressure sensor. The biometric monitoring device is connected to a mobile computing device that carries out an application program for controlling the biometric monitoring device.

A system and method for using an oximeter that monitors a patient's blood pressure over an extended time duration requires creating a line graph. In detail, the line graph is created to provide a steady state correlation between blood flow measurements taken by the oximeter and blood pressure measurements taken by a sphygmomanometer. To create this graph, blood pressure measurements (sphygmomanometer) and blood flow measurements (oximeter) are recorded together and collated during a heart muscle cycle of the patient. Specifically, these measurements are considered together during the same heart muscle cycle while the patient is either standing, sitting, or reclining. This establishes three respective data sets which are then used as reference points to create the line-graph. Thereafter, blood flow measurements with the oximeter can be referenced to the line-graph for direct indications of blood pressure.

1. Name of the design product: multifunctional measuring instrument (YTN21). 2. Use of the design product: for measuring blood pressure, blood sugar, uric acid and total cholesterol for users. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

To reduce the burden on the subject when measuring blood pressure. [Solution] The biological information processing device 1 includes a blood pressure detection unit 13 that identifies a reference pulse wave from pulse waves measured in the past and detects a first reference blood pressure value, a second reference blood pressure value, and a third reference blood pressure value, based on the amplitude of the reference pulse wave; and a blood pressure estimation unit 14 that, when a part of the waveform including the rising edge of a newly measured pulse wave corresponds to a part of the waveform including the rising edge of the reference pulse wave, estimates at least one value or range of the first blood pressure value, second blood pressure value, and third blood pressure value based on the new pulse wave, based on the corresponding value among the first reference blood pressure value, second reference blood pressure value, and third reference blood pressure value.

The present invention relates to the technical field of medical equipment, and discloses a medical instrument blood sampling pulse machine, comprising a compression belt, a telescopic slider fixedly connected to the outer surface of the compression belt, a force-bearing column fixedly connected to the front of the telescopic slider, a fixed hoop slidably connected to the outer surface of the telescopic slider, a limiting groove is provided inside the fixed hoop, a support hoop is fixedly connected to the bottom end of the fixed hoop, a rotating hoop is movably connected to the inner surface of the support hoop, a pushing groove is provided on the inner side of the rotating hoop, a connecting piece is hingedly connected to the top outer surface of the rotating hoop, a bidirectional screw is threadedly connected to the inner surface of the connecting piece, and a controller is arranged on the rear side of the right end of the bidirectional screw. The present invention automatically controls the compression belt through the controller, which is convenient for control and avoids repeated binding of the compression belt by personnel. The telescopic slider drives the compression belt to be tightened or opened, so that the compression belt can be adjusted more conveniently.

1. Name of the product in this design: Blood Pressure Simulator (WDS-300). 2. Purpose of this design: This design is mainly used as an instrument for simulating human blood pressure measurement. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention discloses a door-to-door pension service quality evaluation and monitoring system based on a millimeter wave radar technology. The system comprises a millimeter wave MIMO radar module, a signal preprocessing and trajectory analysis unit, a service type calibration unit, a target distinguishing unit, a service quality evaluation unit, a comprehensive scoring unit, a selectable event identification module and an anomaly detection unit. The millimeter-wave radar module outputs indoor three-dimensional trajectory data to the signal preprocessing and trajectory analysis unit, and the indoor three-dimensional trajectory data is subjected to density clustering and improved Kalman filtering processing and then is output to the target distinguishing unit; the target distinguishing unit determines a reference position of the elderly by taking blood pressure measurement as a predefined calibration action, and divides a track by using a motion feature template of a caregiver; the evaluation unit generates distance and thermodynamic diagram indexes; the comprehensive scoring unit weights and outputs scores according to the types of the old people; and the abnormity detection unit gives an alarm when the indexes are abnormal, thereby realizing non-contact and high-precision door-to-door pension service monitoring and evaluation without privacy risk.

The present application relates to biological signal processing technology, and is a non-invasive continuous blood pressure estimation system based on a subject adaptive feature modulation mechanism, an individual prior embedding vector is generated by an individual prior embedding vector generation module; a subject adaptive feature extraction module performs real-time multi-level dynamic modulation on the preprocessed time series physiological signal according to the individual prior embedding vector, and outputs a high-dimensional time series feature map; a sequence processing module performs time series dependence modeling and context refining on the high-dimensional time series feature map, and outputs a time series feature; a cross-modal attention fusion module splices the individual prior embedding vector and the time series feature; the spliced feature vector is input into a multi-head attention fusion module to realize dynamic cross-modal feature weighted fusion and obtain a high-dimensional feature vector; and a blood pressure regression output module maps the high-dimensional feature vector through a full connection layer to regress to obtain an estimated value of systolic pressure and diastolic pressure. The present application solves the problem that the existing static mapping paradigm cannot cope with individual heterogeneity.

The invention provides ablation equipment and a readable storage medium. The ablation equipment comprises a controller, an energy generation module, a blood pressure detection module and a medical catheter, the energy generation module is configured to provide ablation energy to the medical catheter; the blood pressure detection module is configured to collect first blood pressure data in a first preset time window before an operation and collect second blood pressure data in a second preset time window after each ablation; the controller is configured to obtain preoperative dictrotic wave amplitude information according to the first blood pressure data; after each ablation, according to the second blood pressure data after the ablation, acquiring post-ablation dictrotic wave amplitude information corresponding to the ablation, and according to the preoperative dictrotic wave amplitude information and the post-ablation dictrotic wave amplitude information corresponding to the ablation, judging whether the target blood vessel needs to be continuously ablated after the ablation. According to the method, an operator can conveniently judge the immediate ablation effect in the operation, the operation type learning curve is effectively reduced, and the operation response rate and safety are improved.

The invention discloses a blood pressure measuring method and a related device.The blood pressure measuring method is applied to wearable equipment, the wearable equipment comprises air bags, the air bags comprise a first air bag and a second air bag, an air hole is formed between the first air bag and the second air bag, and the air hole can be used for achieving circulation of air flow between the air bags; when the wearable device is worn on the human body, the first air bag is located between the second air bag and the skin of the human body, the area of the first air bag projected to the skin of the human body is smaller than the area of the second air bag projected to the skin of the human body, and the wearable device can be used for collecting pressure signals in the air bag inflation or deflation process and calculating the blood pressure value based on the pressure signals. It can be seen that the wearable device comprising the multiple layers of air bags is provided, due to the design of the multiple layers of air bags, the air bags can provide large enough compression force during expansion, the contact area between the first air bag and the skin is small, good air permeability is achieved, and the comfort degree of a user during blood pressure measurement is effectively improved.

This invention provides a signal anti-interference processing method and system for assisting smartwatches in measuring blood pressure, relating to the field of medical monitoring signal processing technology. First, it collects the initial pulse wave signal and motion state data of the target user. The current interference level is quantified by calculating a motion interference intensity coefficient. When this coefficient is within a preset range, a dynamically adapted multi-layer filtering fusion is performed based on the initial pulse wave signal and the interference intensity coefficient. Then, variational mode decomposition is performed on the fused filtered signal to remove respiratory fluctuation interference. Finally, the blood pressure measurement result is obtained from the pure target pulse wave signal. This solves the technical problem of insufficient blood pressure measurement accuracy caused by motion artifacts, respiratory fluctuations, and other multi-source interference leading to pulse wave signal distortion when smartwatches use the oscilloscope method to measure wrist blood pressure. It has the technical effect of accurately processing multi-source interference, improving the purity of the pulse wave signal, and reducing blood pressure measurement errors.

1. The name of the product of this design: the main body of the sphygmomanometer. 2. Purpose of this design product: used to measure blood pressure. The partial use of the product of this design that is claimed to be protected is to be used as the main body of a sphygmomanometer to realize the function of measuring blood pressure. 3. The key point of the design of this product lies in the shape of the solid line part. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1. 5. Other situations that need to be explained Other explanations: This design product is a partial design, and the part indicated by the dotted line is not requested for protection.

A system and method for measuring blood pressure. In some embodiments, a system includes a speckleplethysmography sensor and a processing circuit. The system may be configured: to perform, using the speckleplethysmography sensor, blood flow measurements of a subject, and measurements of cuff pressure of a cuff worn by the subject, while the cuff pressure varies; and to calculate, from the blood flow measurements and the cuff pressure measurements, a first blood pressure.