Abstract:
A method for extracting a skeleton form a point cloud includes: obtaining inputted point cloud sampling data; contracting the point cloud using an iterative formula and obtaining skeleton branches, the iterative formula is: arg min X ∑ i ∈ I = ∑ j ∈ J x i - q i θ ( x j - q j ) + R ( X ) , wherein R ( X ) = ∑ i ∈ I γ i ∑ i ′ ∈ I / { i } θ ( x i - x i ′ ) σ i x i - x i ′ , θ ( r ) = ⅇ 4 r 2 h 2 , wherein J represents a point set of the point cloud sampling data, q represents the sampling points in the point set J, I represents a neighborhood point set of the sampling points q, x represents the neighborhood points in the neighborhood point set I. R is a regular term, γ is a weighting coefficient, h is a neighborhood radius of the neighborhood point set I, and σ is a distribution coefficient; and connecting the skeleton branches and obtaining a point cloud skeleton.
Abstract translation:一种用于从点云提取骨架的方法包括:获得输入的点云采样数据; 使用迭代公式收集点云并获得骨架分支,迭代公式为:arg·peng minXΣi∈I =Σj∈Jx i-q iㄧ (x j-q j)+ R(X)其中R(X)=Σi∈IγiΣi'∈I / {i}&thetas; (x i - x i')&sgr ix i - x i',&thetas; (r)=ⅇ4r 2 h 2,其中J表示点云采样数据的点集,q表示点集合J中的采样点,I表示采样点q的邻域点集, x表示邻域点集合I中的邻域点.R是常规项,γ是加权系数,h是邻域点集I的邻域半径,&sgr; 是分布系数; 并连接骨架分支并获得点云骨架。
Abstract:
The present disclosure relates to a multi-sensor indoor localization method and device. The method includes: an optical signal is received from a point light source using an optical sensor group having N optical sensors; the light intensity of the optical signal is obtained, the optical sensor group includes a polyhedron-shaped base where the normal vectors of each three faces are linearly independent, the N optical sensors are located on the faces of the base, and N≧6; the current heading is obtained by a magnetic sensor group; a current unit normal vector is obtained; a system of at least three equations is established; the system of equations is solved to obtain an approximate solution of minimum residual, the approximate solution is regarded as the coordinates of the optical sensor group.
Abstract:
The present disclosure discloses a chemical shift coded imaging method based on a transition region and regional iterative phasor extraction. Acquiring an initial image, and determining an initial phasor solution of the transition region based on the initial image; performing regional iterative phasor extraction in at least two set directions by taking the initial phasor solution as initial information, and obtaining a target phasor solution based on a regional iterative phasor extraction result corresponding to each set direction; and determining a first chemical composition signal and a second chemical composition signal based on the target phasor solution, and performing chemical shift coded imaging based on the first chemical composition signal and/or the second chemical composition signal. By means of regional iterative phasor extraction in a plurality of dimensions, wrong phasor information is transferred independently along different dimensions, wrong information transferred in different directions is excluded.
Abstract:
The present application provides an ultrasonic wake-up system. The system includes an ultrasonic imaging device, an ultrasound stimulation device, and an ultrasound stimulation effect evaluation device, and acquires an ultrasonic image of a target object through the ultrasonic imaging device, transmits an ultrasound to the target object based on the ultrasonic image through the ultrasound stimulation device, and adjusts the transmitted ultrasound required through the ultrasound stimulation effect evaluation device. Therefore, peripheral nerves are accurately stimulated, an uplink reticular wake-up system is activated, so as to wake up patients with disorders of consciousness.
Abstract:
The present application is suitable for the technical field of data processing, and provides a data error correction method and apparatus and an electronic device. The method includes: decoding a base sequence to be subjected to error correction into a first text, the base sequence to be subjected to error correction being composed of a plurality of bases; performing word segmentation on the first text to obtain a plurality of text units; performing error detection on the plurality of text units to obtain a text unit having an error; and performing error correction on the base sequence to be subjected to error correction according to the text unit having the error. By means of the above method, error correction for data can be achieved, and the storage cost of DNA can also be reduced.
Abstract:
The present invention belongs to the field of nanomedicine, and provides a DC biomimetic membrane nanoparticle loaded with an NIR-II AIE dye, a preparation method therefor and use thereof. The DC biomimetic membrane nanoparticle loaded with the NIR-II AIE dye comprises a DC membrane and an NIR-II AIE dye loaded therein, wherein the NIR-II AIE dye has photothermal characteristics. The DC biomimetic membrane nanoparticle loaded with the NIR-II AIE dye provided by the present invention not only solves the problem that the NIR-II AIE dye is poor in water solubility and limited in fluorescence imaging, but also increases the enrichment efficiency of the NIR-II AIE dye coated by the DC membrane at a tumor site and successfully activates the activity of T cells in vivo.
Abstract:
The present disclosure relates to an enhanced generative adversarial network and a target sample recognition method. The enhanced generative adversarial network in the present disclosure includes at least one enhanced generator and at least one enhanced discriminator, where the enhanced generator obtains generated data by processing initial data, and provides the generated data to the enhanced discriminator; the enhanced discriminator processes the generated data and feeds back a classification result to the enhanced generator; the enhanced discriminator includes: a convolution layer, a basic capsule layer, a convolution capsule layer, and a classification capsule layer, and the convolution layer, the basic capsule layer, the convolution capsule layer, and the classification capsule layer are sequentially connected to each other.
Abstract:
A method for processing positron emission tomography data is provided, this method includes: obtaining a first coordinate and a second coordinate respectively corresponding to two ends of a response line to be processed; determining corresponding dimensional coordinates of the response line to be processed in a sinogram based on the first coordinate and the second coordinate; and generating the sinogram corresponding to the response line to be processed based on the dimensional coordinates. According to this method, the amount of calculation of system matrix is reduced, the accuracy of position information of the generated response line is improved, and the accuracy of generated sinogram is improved accordingly.
Abstract:
An Alzheimer's disease biomarker, and a screening method therefor and use thereof. The Alzheimer's disease biomarker is 11(Z), 14(Z)-eicosadienoic acid. The screening method for the Alzheimer's disease biomarker comprises: acquiring samples, testing the samples, and performing structural identification and data analysis on metabolites in the samples, wherein specifically, metabolites in faeces samples can be tested by liquid chromatography-mass spectrometry, to carry out structural identification on the metabolites; and selecting a metabolite showing a difference from the metabolite level of a control group as the Alzheimer's disease biomarker. Using 11(Z), 14(Z)-eicosadienoic acid as an Alzheimer's disease biomarker is of great significance to clinical early diagnosis of Alzheimer's disease; the present invention can be used for preparing a diagnostic tool for Alzheimer's disease, predicting the individual treatment effects of patients with Alzheimer's disease, and preparing drugs for treating Alzheimer's disease.
Abstract:
The present application is applicable to the technical field of muscle oxygen saturation detection, and provides a muscle oxygen saturation detection method, and a muscle oxygen saturation recovery method and system. The muscle oxygen saturation detection method is applied to a muscle oxygen saturation detection device. The present application combines pulse electrical stimulation for relieving the muscle fatigue and improving the muscle activity function with muscle oxygen saturation detection, and automatically triggers the turning-on and turning-off of electrical stimulation with the muscle oxygen saturation detection data of a wearer to form a closed-loop muscle function detection and stimulation system with feedback.