Abstract: The present disclosure provides an atrial fibrillation signal recognition method, apparatus and device.

Abstract: Provided are a microfluidic apparatus, a method and system for introducing a substance into a cell. The microfluidic apparatus includes a cavity channel, a bulk wave generating device and a surface acoustic wave generating device; a microstructure is arranged on an inner wall of the cavity channel, and the microstructure is constructed for forming a bubble by a solution at the microstructure when the solution is injected into the cavity channel; the bulk wave generating device is configured to generate a bulk wave, the bulk wave enables the bubble to resonate for generating a flow field; and the surface acoustic wave generating device is configured to generate a surface acoustic wave and control a position of at least one particle in the solution.

Abstract: The disclosure provides a low-dose image reconstruction method and system based on prior anatomical structure difference.

Abstract: The present disclosure discloses a method and a system for generating a composite PET-CT image based on a non-attenuation-corrected PET image. The method includes: constructing a first generative adversarial network and a second generative adversarial network; obtaining a mapping relationship between a non-attenuation-corrected PET image and an attenuation-corrected PET image by training the first generative adversarial network; obtaining a mapping relationship between the attenuation-corrected PET image and a CT image by training the second generative adversarial network; and generating the composite PET-CT image by utilizing the obtained mapping relationships. According to the present disclosure, a high-quality PET-CT image can be directly composited from a non-attenuation-corrected PET image, and medical costs can be reduced for patients, and radiation doses applied to the patients in examination processes can be minimized.

Abstract: The present application is suitable for use in the technical field of computers, and provides a smart diagnosis assistance method and terminal based on medical images, comprising: acquiring a medical image to be classified; pre-processing the medical image to be classified to obtain a pre-processed image; and inputting the pre-processed image into a trained classification model for classification processing to obtain a classification type corresponding to the pre-processed image, the classification model comprising tensorized network layers and a second-order pooling module. As the trained classification model comprises tensor decomposed network layers and a second-order pooling module, when processing images on the basis of the classification model, more discriminative features related to pathologies can be extracted, increasing the accuracy of medical image classification.

Abstract: A method, device and equipment for reconstructing a PET image are provided. The method includes acquiring a prior image comprising an anatomical image and an autocorrelation feature image, the autocorrelation feature image being determined based on gray-level co-occurrence matrix of the anatomical image; and acquiring a feature value of the prior image; reconstructing the PET image according to the feature value and an iterative algorithm.

Abstract: A prediabetes detection system and method based on combination of electrocardiogram and electroencephalogram information are provided.

Abstract: A closed-loop artificial pancreas system based on a wearable monitoring method is provided.

Abstract: A 2 DOFs decoupling parallel mechanism provided by the present disclosure comprises a fixed platform, a rotation assembly, a moving platform, an arc kinematic chain, and an arc rod. In the 2 DOFs decoupling parallel mechanism, the rotation assembly can drive the moving platform to rotate by 360 degrees around a direction being perpendicular to the fixed platform, the arc rod reciprocates along the tangential direction of the arc kinematic chain to enable the moving platform to rotate around an axis of a plane where the arc kinematic chain is located. In this way, the rotations of the moving platform in two directions are respectively driven by driving units in two directions and being independent from each other, such that the two rotation actions of the mechanism have decoupling capability.

Abstract: The disclosure discloses a system for treating high-salt high-organic wastewater and recovering energy, the system includes a cold wall-type reactor (6), a multi-level cyclone separator (16, 19, and 25), a waste liquid feeding system, an oxidant feeding system and a fuel feeding system; The cold wall-type reactor designed by the disclosure is formed by inner and outer double-housing structures, a cooling medium is fed into a gap between the inner housing and the outer housing of the reactor, the fluid on an inner wall surface of the inner housing of the reactor is cooled below a supercritical temperature of the water by using countercurrent heat exchange, blockage of the inorganic salts is effectively prevented. The disclosure is capable of realizing gradient utilization of the reaction heat of the high-salt high-organic wastewater supercritical water oxidation system, and improving a system energy recovery utilization ratio in the greatest degree.

Abstract: The application provides a task scheduling simulation system, comprising a data preprocessing subsystem and a task scheduling subsystem. The data preprocessing subsystem filters the input cloud computing log information for abnormal data and extracts the running time of each task. The task scheduling subsystem enqueues or dequeues tasks from the batch task and real-time task running queues of each node, and keeps the tasks currently running in the cluster consistent with the actual production environment, and updates the number of CPU cores and the used and available memory capacity of each node according to resource requirement of each task. The mixed scheduling simulation of batch tasks and online tasks can be realized, and the resource simulation of the heterogeneous CPU core number and memory capacity of the cluster nodes can be simulated.

Abstract: A method and a device for acquiring biomechanical parameters based on an ultrasonic elastomyogram are provided, wherein the method includes: synchronously collecting a dynamic myodynamics image sequence and a dynamic elasticity image sequence of a single skeletal muscle under continuous stretching; acquiring a myodynamics parameter corresponding to each myodynamics image in the dynamic myodynamics image sequence and an elasticity modulus value corresponding to each elasticity image in the dynamic elasticity image sequence respectively; and generating an ultrasonic elastomyogram curve with the myodynamics parameter as the abscissa and the synchronized elasticity modulus value as the ordinate, and estimating a muscle biomechanical parameter based on the ultrasonic elastomyogram curve. Dynamically changing biomechanical parameters can be obtained, and the obtained muscle biomechanical parameters have relatively high accuracy.

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: A microfluidic chip (100), an apparatus, a system, and a control and preparation method therefor. The method comprises: a substrate (101), and an electrode layer (102) and a functional layer (103) sequentially formed on the substrate (101), said electrode layer (102) comprising a plurality of electrode groups (1021) arranged in an array, the electrode groups (1021) being used for converting electrical signals into acoustic signals when an electrode group is activated, and transmitting the acoustic signals to the functional layer (103); and the functional layer (103) being used for carrying a sample to be tested, and for absorbing the acoustic wave signals emitted by the activated electrode group (1021) and converting same into thermal energy for heating the sample to be tested that is carried at the position corresponding to the activated electrode group (1021).

Abstract: A method and an apparatus for generating time series data based on multi-condition constraints, and a medium are provided. The method include the following: a data repair request from a client is received, the data repair request including to-be-repaired data and condition information; normalization processing is performed on the to-be-repaired data to obtain normalized data, and tensor processing is performed on the condition information to obtain a feature label; a trained data repair model is called to perform repair processing on the normalized data according to the feature label to obtain first repaired data, the data repair model being obtained by training according to sample data, a first sample condition, real sample data and a second sample condition, and the sample data being noise data; and the first repaired data is sent to the client.

Abstract: Provided are composite array electrode, preparation method thereof and use thereof. The composite array electrode comprises a microelectrode array substrate, and a modification layer formed on a surface of a microelectrode of the microelectrode array substrate, wherein the modification layer comprises a plurality of electrically conductive layers arranged at intervals on the surface of the microelectrode, an insulating layer arranged on the surface of the microelectrode except the electrically conductive layers, and wherein material for the electrically conductive layers comprises one or more of nano platinum, nano iridium, conductive polymer and carbon nanotubes. The composite array electrode effectively eliminates the influence of edge effect such that the electric field distributes uniformly on the microelectrode surface of the composite array electrode, significantly improving electrochemical performance and detection capability of the electrode.

Abstract: A method for preparing a flexible electrode is provided. The method comprises sequentially forming a flexible base layer and an intermediate conductive layer on a carrier plate; treating an elastomeric template having an electrode pattern with an acid, followed by transferring and printing the electrode pattern onto the intermediate conductive layer to form an electrode inducing layer; forming a titanium dioxide-polydopamine composite layer in a gap of the electrode inducing layer; forming a platinum electrode layer on the titanium dioxide-polydopamine composite layer; removing the carrier plate. The invention solves the problems of slow formation of a polydopamine film and slow formation of a platinum electrode layer. A flexible electrode is further provided.

Abstract: Disclosed are a magnetic-resonance imaging method, apparatus and system, and a storage medium. The method includes acquiring an initial model of magnetic-resonance imaging and establishing an initial imaging model according to an iterative algorithm used for solving the initial model, where the iterative algorithm includes at least one of an undetermined parameter, an undetermined solving operator or an undetermined structural relationship; training the initial imaging model on the basis of sample data to generate a magnetic-resonance imaging model, where training of the initial imaging model is used for learning the at least one of the undetermined parameter, the undetermined solving operator or the undetermined structural relationship in the iterative algorithm; and acquiring under-sampled K-space data to be processed, inputting the under-sampled K-space data into the magnetic-resonance imaging model, and generating a magnetic-resonance image.

Abstract: A method and an apparatus for determining a service area of a parking lot, a device and a storage medium are provided. The method includes the following: clustering is performed on all first parking lots to obtain at least one second parking lot set according to an initial weight and initial position information of each first parking lot in a first parking lot set; a transition probability matrix corresponding to each second parking lot in each second parking lot set is determined according to the initial weight and the initial position information, where a transition probability in the transition probability matrix is used for indicating a probability that a parking user transfers to another second parking lot in the same second parking lot set when there is no empty parking space in the second parking lot; and a service capacity value of each second parking lot is determined.

Abstract: A shimming system for magnetic resonance imaging is provided, which includes: a multi-channel local shim coil unit configured to be installed on an inspection table of a magnetic resonance imaging system, where the multi-channel local shim coil unit includes a local multi-channel shim coil and a radio frequency receiving coil for receiving magnetic resonance signals, and the radio frequency receiving coil is placed inside the local multi-channel shim coil and separated by a distance from the local multi-channel shim coil; a computer control system configured to install and set software controlled by a DC power and calculate field maps and calculate optimization processes; a DC power system communicatively connected to the computer control system to control a value of current of each channel; and a housing having a semi-cylindrical configuration, where the local multi-channel shim coil is only distributed on a semi-cylindrical surface of the semi-cylindrical configuration of the housing.