8 results about "Diastole" patented technology

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.

This invention discloses a method and apparatus for heart sound segmentation based on a Hidden Markov Model (HMM) cardiac cycle. The method involves: extracting the signal envelope from the heart sound signal using Hilbert's algorithm; obtaining the peak positions of the first heart sound (S1) and the second heart sound (S2) after Hilbert envelope extraction based on preset baselines for different leads; locating the peaks based on the cardiac cycle; extracting the diastolic phase based on an improved HMM; locating the optimal time span of heart sound signals S1 and S2 using an improved Viterbi algorithm; and segmenting the original heart sound signal using the time span and the peak positions of S1 and S2. This invention employs an improved HMM and an improved Viterbi forward algorithm to calculate the duration of heart sound intervals S1 and S2, combined with the cardiac cycle, to accurately locate the peak positions of heart sound intervals, thus improving the performance of heart sound segmentation.

This invention relates to the field of bio-optical imaging technology, specifically to an organ status assessment method and organ perfusion system based on laser speckle imaging. The method utilizes high-frame-rate laser speckle imaging technology combined with a physiological signal gating algorithm. It extracts the original speckle image only during the diastolic window when organ motion is minimal. The original speckle image is then preliminarily corrected using a vibration-speculiar distortion model. Subpixel-level registration is then performed on the preliminarily corrected speckle image using optical flow, generating a high signal-to-noise ratio microcirculation perfusion distribution map free of motion artifacts. Based on the microcirculation perfusion distribution map, perfusion heterogeneity indices for each target assessment region are calculated to determine whether local blood flow abnormalities exist in the transported organ, thus achieving status assessment and real-time monitoring of the transported organ. This assessment method is applicable not only to organ transport but also to organ quality evaluation and immediate post-transplant assessment scenarios.

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.

This invention discloses a parameter identification method for a lumped parameter model of systemic circulation, belonging to the field of lumped parameter model technology. The method includes: constructing the state equation of the lumped parameter model of systemic circulation based on Kirchhoff's voltage and current laws to obtain the systemic circulation control equation; calculating the duration ratio of systolic to diastolic phases and stroke volume based on routine clinical measurement data, constructing classic aortic pressure and flow waveforms, and performing registration processing; calculating central venous pressure and flow based on routine clinical measurement data; and using the registered aortic inlet pressure and flow, central venous pressure and flow, and systemic circulation control equations to calculate the values ​​of each parameter in the parameter model. This invention, by periodically stretching the classic reference waveform, matches the waveform extreme values ​​with the patient's measured blood pressure and cardiac output, indirectly reconstructing the aortic inlet pressure and flow curve reflecting individual characteristics under non-invasive conditions, significantly improving the model's individualization and clinical compatibility.

A diastole-based hemodynamic index, such as instantaneous wave-free ratio (IWFR), may be calculated noninvasively for a patient by receiving image data respective of an anatomical region of the patient, creating an electronic model of the anatomical region, creating one or more boundary conditions model value sets representative of flow conditions during diastole, calculating one or more pressure drops at a location in the anatomical region, and determining, based on the calculated pressure drop(s) and based on a reference pressure, a hemodynamic index value, such as IWFR, for the location.