15 results about "Blood pressure device" patented technology

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.

An emergency medical kit may comprise a main body with multiple compartments. A fabric panel may be attached to the main body. The fabric panel may include horizontal and vertical straps forming a grid pattern. The fabric panel may have attachment points for securing medical supplies. A removable medication pack containing pre-selected medications may be included. A removable wound cleaning pack with treatment supplies may also be provided. The kit may further include items like a blood pressure cuff, stethoscope, tourniquet, trauma shears, and pulse oximeter. The fabric panel may have a mesh pocket with a zipper. The main body may open in a T-shaped layout. Elastic bands may secure additional supplies. The grid pattern may comprise a MOLLE system. A medical bag component with a mesh pocket and logo may attach to the main body.

The application relates to a blood pressure calculation method and device, a blood pressure measuring device, a computer device and a storage medium. The method comprises the following steps: acquiring a pressure signal of an inflation pump of a blood pressure measuring device in an inflation process; performing pulse wave peak identification according to the pressure signal to generate a peak value sequence; determining a pulse rate according to the peak value sequence, determining a target highest peak value in the peak value sequence, and determining the highest peak value as an average pulsatile pressure; performing asymmetric Gaussian fitting on the peak value sequence with the target highest peak value as the center to obtain a fitted peak value curve; and calculating a blood pressure parameter according to the peak value sequence, the fitted peak value curve and the position of the target highest peak value. The blood pressure parameter comprises a systolic pressure value and a diastolic pressure value. The method converts the pressure signal of the inflation pump in the inflation process into a peak value sequence, analyzes the peak value sequence and calculates a blood pressure parameter, and the accuracy of blood pressure parameter calculation is improved.

1. The name of the design product: piezoelectric air pump. 2. The use of the design product: piezoelectric air pump for smart watch or blood pressure meter built-in test blood pressure. 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 application provides a blood pressure calculation method, including collecting pressure data; calculating effective systolic and effective diastolic blood pressure based on the pressure data; determining whether there are missing parameters, and if so, using a prediction algorithm for calculation; the prediction algorithm includes: determining an envelope curve based on the pressure data; solving a one-dimensional Gaussian function based on multiple consecutive effective points at the posterior endpoint of the envelope curve; and determining the missing parameters based on the one-dimensional Gaussian function. This solution achieves accurate blood pressure calculation under incomplete envelope conditions, effectively utilizing the similarity between the shape of the one-dimensional Gaussian function and the shape of the human blood pressure envelope curve to determine the corresponding missing parameters. It overcomes the problems of incomplete envelopes and missing systolic or diastolic blood pressure characteristic points caused by insufficient pressure or signal interference in traditional methods, thereby comprehensively optimizing the reliability and success rate of the measurement process.

The application discloses a blood pressure calculation method and equipment based on cross-scale fluid-solid coupling and considering nonlinear biomechanical characteristics of an aorta, and the method comprises the following steps: establishing a three-dimensional ideal aorta geometric model; establishing a zero-dimensional heart lumped parameter model to simulate the process that the heart pumps blood to the aorta inlet through periodic contraction and diastole; establishing a zero-dimensional three-element Windkessel model of small arteries to simulate blood flow microcirculation of peripheral small arteries; establishing a blood vessel wall biomechanical model containing residual stress of the aorta wall and active contraction of smooth muscle cells to obtain a pressure-radius relationship of the aorta wall as a fluid wall boundary condition to simulate the change process of the aorta radius in blood circulation; and coupling the three-dimensional ideal geometric model of the aorta, the zero-dimensional heart lumped parameter model and the zero-dimensional three-element Windkessel model to construct a cross-scale fluid-solid coupling system of hemodynamics, and the blood pressure in the aorta is calculated through iterative solution.

The present disclosure relates to computing blood pressure from images of the outer eye of an individual. Images of the outer eye of an individual obtained via a high magnification camera can be analyzed using computer vision to identify features associated with blood vessels in the outer eye, such as blood vessel size or diameter, blood vessel wall thickness, distance between vessels or vessel segments, area between vessels or vessel segments, and / or blood velocity through the vessels. These blood vessel features derived from images may be used to compute a blood pressure measure(s) for an individual through use of an artificial intelligence algorithm which relates the blood vessel features to blood pressure values.

The utility model is suitable for the technical field of medical instruments, and provides a dual-purpose dynamic sphygmomanometer which comprises a first cuff assembly, a second cuff assembly, a main machine and a portable bag, the first cuff assembly comprises a first cuff and a first air pipe which are communicated with each other, the second cuff assembly comprises a second cuff and a second air pipe which are communicated with each other, and the first air pipe and the second air pipe are communicated with each other. The length of the first air pipe is smaller than that of the second air pipe, and the host can be detachably connected and communicated to the tail end of any one of the first air pipe and the second air pipe; in the first use mode, at least one part of the main machine can be contained in the portable bag, the main machine is communicated with the tail end of the second air pipe, and in the second use mode, the main machine can be connected with the outer surface of the first cuff and is communicated with the tail end of the first air pipe. Different wearing requirements of users are met, the influence on the daily life of the users is reduced, the use turnover rate is higher for hospitals, rehabilitation centers and the like, the use efficiency of equipment is improved, and the cost is saved.

The invention discloses a blood pressure measuring method, wearable equipment and a storage medium, and relates to the technical field of wearable equipment, and the blood pressure measuring method comprises the following steps: acquiring a target physiological signal detected by a target user in a current time period based on the wearable equipment; collecting detection environment parameters of the wearable device in the current time period; according to the target physiological signal, blood pressure change factor information which causes the change of the blood pressure value level of the target user is identified, and a target blood pressure calculation model mapped by the blood pressure change factor information is determined from a plurality of preset blood pressure calculation models; and inputting the acquired blood pressure baseline characteristics and blood pressure baseline states, the target physiological signals and the detection environment parameters into a target blood pressure calculation model, and outputting a blood pressure value of the target user. Interference caused by individual differences is effectively reduced, and accuracy and individual adaptability of blood pressure monitoring are improved.

A wearable blood pressure meter includes a semi-conformable bladder, serving as a reservoir for an incompressible fluid, and a pressure sensor. The semi-conformable bladder includes a rigid housing defining a cavity within which the incompressible fluid is rigidly constrained and an elastic membrane for elastically constraining the incompressible fluid. The elastic membrane extends across an aperture into the cavity through the rigid housing. The elastic membrane conforms to a body part at the aperture when pressed against the body part. The pressure sensor mechanically couples to the incompressible fluid to measure pressure signals emanating from an artery within the body part and which propagate through the conformable membrane and the incompressible fluid to the pressure sensor.

This invention describes how users can capture digital artifacts from any medical device using their mobile device. Some examples of medical devices included, but are not limited to a medical ID card, Medical ID bracelet, Electronic Medical Records, blood pressure machines, blood glucose, scales, inhalers, INR, prescription bottles and trays, pulse oximeter, etc. Digital artifacts included, but are not limited to a medical ID, basic patient information, patient contact information, emergency contact information, primary care physician information, health insurance information including co-pay and deductibles, prescriptions, office visit summary, appointment cards, Electronic Medical Records (EMR), lab results, blood type, organ / donor status, vital signs, diagnostic data, immunization records, payments and transaction history, pictures, etc

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.

This pressing device is for pressing a pressure sensor against a radial artery, said pressure sensor being for measuring chronological variation in blood pressure. The pressing device has a first surface where the pressure sensor is positioned. When the pressure sensor is pressed against the radial artery, the first surface faces the radius with the radial artery interposed therebetween.