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公开(公告)号：US20240278890A1
公开(公告)日：2024-08-22
申请号：US18650549
申请日：2024-04-30
Inventor： Qi Yang ZUO , Xiao Wu HAN , Bing Bing DONG , Te LI , Chang Zhen ZHENG , Cheng Xu HAN , Kai HE
Abstract: The application relates to a swinging device, underwater bionic propeller and use thereof. The swinging device can include a swing mechanism including a swing arm. A driving end of a steering mechanism can be in transmission connection with the swing arm so as to drive the swing arm to swing in a reciprocating manner. A reciprocating mechanism can be provided which is in transmission connection with a fixed end of a steering driving component so as to drive the swing arm to rotate in a reciprocating manner by driving the steering mechanism to move. The steering mechanism drives the swing arm independently and changes the swinging area that the reciprocating mechanism drives the swing arm to swing in a reciprocating manner.
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32.发明公开公开(公告)号：US20240046440A1
公开(公告)日：2024-02-08
申请号：US18546425
申请日：2021-04-14
Inventor： Shanshan WANG , Hairong ZHENG , Kehan QI , Chuyu RONG , Xin LIU
CPC classification number: G06T7/0002 , G06T15/00 , G06V10/44 , G06T2207/20084 , G06T2207/30168
Abstract: An image data quality evaluation method and apparatus, a terminal device, and a readable storage medium. The image data quality evaluation method includes: inputting three-dimensional image data to be evaluated into a feature extraction network model for processing to obtain a feature matrix; processing the feature matrix on the basis of a plurality, of branch network models in a hypemetwork model to obtain a plurality of parameter matrixes, and respectively adjusting, on the basis of the plurality of parameter matrixes, parameters of a plurality of fully connected layers in a corresponding regression model; and processing the feature matrix on the basis of the adjusted regression model to obtain a quality evaluation score. The dynamic adjustment of parameters of a model is implemented on the basis of content of input data, so that the processing efficiency and the quality evaluation precision for three-dimensional image data are improved.
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公开(公告)号：US20230349847A1
公开(公告)日：2023-11-02
申请号：US18307936
申请日：2023-04-27
Inventor： Horst VOGEL , Zhili RAO , Xueying WANG , Xiaokang ZHANG , Shuguang YUAN , Huawei ZHANG
IPC: G01N23/2251 , G01N23/2202
CPC classification number: G01N23/2251 , G01N23/2202
Abstract: A method for determining a protein structure using cryo-electron microscopy, including: enabling a target protein to contain a tag; enabling a resulting target containing the tag to bind a scaffold protein to form a complex between the target protein and the scaffold protein; and performing single-particle imaging using the cryo-electron microscopy to determine a structure of the target protein in complex with the scaffold protein. The scaffold protein is any one of streptavidin, avidin, or derivatives thereof. The tag is configured for selectively binding to the scaffold protein. The tag is one selected from the group consisting of: a biotin tag, comprising a biotin; a biotinylated protein or polypeptide tag, comprising a protein sequence and a biotin covalently linked to the protein sequence; a Strep-tag; and a biotinylated or strep-tagged antibody, or antibody Fab fragment, or single-chain antibody.
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公开(公告)号：US11538588B2
公开(公告)日：2022-12-27
申请号：US16901033
申请日：2020-06-15
Inventor： Ye Li , Xiaomao Fan , Qihang Yao , Liyan Yin
Abstract: The present disclosure provides an atrial fibrillation signal recognition method, apparatus and device. The method comprises: obtaining an electrocardiogram signal to be recognized; inputting the electrocardiogram signal to be recognized to a pre-established atrial fibrillation signal recognition model, and outputting an atrial fibrillation signal recognition result, where the atrial fibrillation signal recognition model is established in the following way: obtaining a specified number of electrocardiogram sample signals and corresponding identifier information; balancing, according to the number of normal signals, atrial fibrillation signals by means of SMOTE; establishing a network structure of multiple convolutional neural networks, each of the convolutional neural networks being provided with a specific receptive field for recognizing the atrial fibrillation signals of a corresponding granularity; and inputting the normal signals and the balanced atrial fibrillation signals to the network structure for training to generate an atrial fibrillation signal recognition model.
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35.发明申请公开(公告)号：US20220076858A1
公开(公告)日：2022-03-10
申请号：US17413292
申请日：2019-04-10
Inventor： Hui LI , Jinjie ZHANG , Lei WANG
IPC: H01B1/22 , H01L21/288
Abstract: The invention applies to the technical field of the flexible conductive film and provides a stretchable and super-sensitive flexible conductive film based on silver powder and PDMS and its manufacturing method. The manufacturing method comprises the following steps: preparing silver powder, PDMS prepolymer, and the said PDMS curing agent; after the said silver powder is ground, cleaned, and dried, adding the said PDMS prepolymer for even mixing, and then adding the said PDMS curing agent for mixing to get the liquid flexible conductive film; spin-coating the said liquid flexible conductive film to a certain thickness and get the flexible conductive film after curing. The flexible conductive film comprises silver powder and PDMS film substrate, wherein the said powder silver is evenly distributed within the said PDMS film substrate. The invention provides a flexible conductive film based on silver powder and PDMS and its manufacturing method, whose manufacturing processes are simple and free of hazardous chemical reagents, raising lower requirements for the device but performing well in conductivity and stretchability.
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Patent Agency Ranking
公开(公告)号：US10994410B2
公开(公告)日：2021-05-04
申请号：US16479920
申请日：2017-04-25
Inventor： Guoru Zhao , Yongfeng Wang
Abstract: A three-degree-of-freedom parallel mechanism with curved sliding pairs includes a fixed platform, a moving platform, and three curved branches disposed between the fixed platform and the moving platform. Each of the curved branches includes a first curved link and a second curved link that share a common arc center. One end of the first curved link is connected to fixed platform by a rotational pair. One end of the second curved link is disposed in a cavity at another end of the first curved link. The second curved link is operative to perform a reciprocating motion along a tangent of an arc of the first curved link. Another end of the second curved link is connected to the moving platform by a ball joint. The axes of the three rotational pairs of the three curved branches coincide with each other and are perpendicular to the fixed platform. In the three-degree-of-freedom parallel mechanism with curved sliding pairs, the moving platform of the parallel mechanism is rotatable around the X-axis, Y-axis, and Z-axis of a three-dimensional coordinate system taking the arc center of the three curved branches as the origin, where the rotation of the moving platform about the Z axis is decoupled from the rotation in the other two orientations.
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公开(公告)号：US10818027B2
公开(公告)日：2020-10-27
申请号：US16077523
申请日：2017-05-24
Inventor： Shoujun Zhou , Baolin Li , Cheng Wang , Pei Lu
Abstract: A method and an apparatus for extracting a centerline of a tubular object are provided. The method includes: preprocessing an image of the tubular object whose centerline is to be extracted to obtain an enhanced image, acquiring a gradient vector flow field of the enhanced image; acquiring a deformation force parameter based on the gradient vector flow field and extracting ridge points of the tubular object from the enhanced image, establishing a regularized open curve deformable model; if a deformation end condition is not met, deforming and processing one ridge line segment in the initial ridge line segment list based on the model to obtain a centerline segment of the tubular object, updating the initial ridge line segment list based on the ridge line segment traversed; if the deformation end condition is met, generating a centerline of the tubular object based on the centerline segments.
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38.发明申请公开(公告)号：US20170245837A1
公开(公告)日：2017-08-31
申请号：US15519531
申请日：2015-12-31
Inventor： Tiexiang WEN , Jia GU , Yaoqin XIE , Lei WANG
IPC: A61B8/00
CPC classification number: A61B8/587 , A61B8/4254 , A61B8/4444
Abstract: An ultrasound probe calibration system and method. The system comprises an ultrasound probe calibration phantom (100), and the ultrasound probe calibration phantom (100) is provided with a sunken recess (110) at a middle position of an upper surface thereof and with several conical holes on a side surface thereof. The sunken recess (110) is fixedly connected with a two dimensional ultrasound probe (220) therein. The conical hole is inserted with an NDI insertion stylus (230), and a tip of the NDI insertion stylus (230) can be acquired in ultrasound imaging. An ultrasound probe calibration system employing the above structure enables a midplane of an ultrasound plane to pass a midplane of an ultrasound probe calibration phantom (100) along a middle gap, such that a tip of an NDI insertion stylus (230) is used for the midplane of the ultrasound plane, thereby addressing the problem of misalignment of a point-type phantom or a two-dimensional plane-type phantom to the ultrasound plane.
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公开(公告)号：US09684817B2
公开(公告)日：2017-06-20
申请号：US14893035
申请日：2013-11-26
Inventor： Hui Huang
IPC: G06K9/00 , G06K9/40 , G06K9/20 , G06K9/56 , G06K9/62 , G06T15/10 , G06T19/20 , G06T19/00 , G06T5/00
CPC classification number: G06K9/00214 , G06K9/00201 , G06K9/209 , G06K9/40 , G06K9/56 , G06K9/6207 , G06K9/6211 , G06K9/6249 , G06T5/002 , G06T15/10 , G06T19/00 , G06T19/20 , G06T2207/10028 , G06T2210/56
Abstract: Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires repeated scanning. Further disclosed is a system for automatically optimizing point cloud data quality.
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40.发明申请公开(公告)号：US20170105643A1
公开(公告)日：2017-04-20
申请号：US15389978
申请日：2016-12-23
Inventor： Ye LI , Xiaomao FAN , Furu XIANG , Yunpeng CAI , Fen MIAO
IPC: A61B5/04 , A61B5/00 , A61B5/0456
CPC classification number: A61B5/04017 , A61B5/0456 , A61B5/0472 , A61B5/7203 , A61B5/7264
Abstract: The present disclosure provides a GPU-based parallel electrocardiogram signal analysis method, comprising: performing a filtering process of electrocardiogram signals through a long interval artifact removal and a short interval artifact removal; performing a QRS detection of the filtering-processed electrocardiogram signals through an R-wave position extraction, a QRS complex start and end positions extraction and a QRS complex width extraction; performing an abnormal waveform classification of the QRS-detected electrocardiogram signals through template creation; wherein at least one of the long interval artifact removal, the short interval artifact removal, the R-wave position extraction, the QRS complex width extraction and the creation template is performed by a multiple threads at a GPU device side in parallel, any thread being read through its unique index number to process corresponding data. By executing one or more steps of the electrocardiogram signal analysis at GPU in parallel, the present disclosure increases the analysis speed of the electrocardiogram signals.
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