Abstract: A valved stent is disclosed. The valved stent has an inflow end and an outflow end, a waist portion is concavely formed near the inflow end to determine and limit a position of the valved stent, and a connecting portion is disposed at the outflow end and used for being connected with a delivery system. The heart valve comprises a valve body, a skirt edge and the valved stent, wherein the valve body is disposed on an inner side of the valved stent, the skirt edge is an elastomer, and the elastomer is coupled to the valve body and disposed on a peripheral wall of the valved stent for sealing the periphery of the valve. The heart valve has the function of active positioning, and can effectively prevent the positioned valved stent from shifting. The heart valve is characterized by active positioning and self-adaption of an aortic valve annulus.

Abstract: A composite anti-restenosis drug for use with a coronary drug-eluting stent, and a controlled release system for the drug. The composite drug comprises arsenic trioxide and rapamycin, which may be used in combination to prevent in-stent restenosis and reduce the incidence of intravascular thrombosis. The controlled release system for the composite drug may control the release of the composite drug so as to achieve the therapeutic effect of controlling restenosis and preventing the formation of thromboses.

Abstract: A method for managing power during communication with an implantable medical device, including establishing a communications link, utilizing a power corresponding to a session start power, to initiate a current session between an implantable medical device (IMD) and external device. A telemetry break condition of the communications link is monitored during the current session. The power utilized by the IMD is adjusted between low and high power levels, during the current session based on the telemetry break condition. The number of sessions is counted, including the current session and one or more prior sessions, in which the IMD utilized the higher power level, and a level for the session start power to be utilized to initiate a next session following the current session is adaptively learned based on the counting of the number of sessions.

Abstract: A method and an apparatus for training a voiceprint recognition system are provided. The method includes obtaining a voice training data set comprising voice segments of users; determining identity vectors of all the voice segments; identifying identity vectors of voice segments of a same user in the determined identity vectors; placing the recognized identity vectors of the same user in the users into one of user categories; and determining an identity vector in the user category as a first identity vector. The method further includes normalizing the first identity vector by using a normalization matrix, a first value being a sum of similarity degrees between the first identity vector in the corresponding category and other identity vectors in the corresponding category; training the normalization matrix, and outputting a training value of the normalization matrix when the normalization matrix maximizes a sum of first values of all the user categories.

Abstract: This application discloses a human attribute recognition method performed at a computing device. The method includes: determining a human body region image in a surveillance image; inputting the human body region image into a multi-attribute convolutional neural network model, to obtain, for each of a plurality of human attributes in the human body region image, a probability that the human attribute corresponds to a respective predefined attribute value, the multi-attribute convolutional neural network model being obtained by performing multi-attribute recognition and training on a set of pre-obtained training images by using a multi-attribute convolutional neural network; determining, for each of the plurality of human attributes in the human body region image, the attribute value of the human attribute based on the corresponding probability; and displaying the attribute values of the plurality of human attributes next to the human body region image.

Abstract: A method, system and external instrument are provided. The method initiates a communication link between an external instrument (EI) and an implantable medical device (IMD), established a first connection interval for conveying data packets between the EI and IMD and monitors a connection criteria that includes at least one of a data throughput requirement. A battery indicator or link condition of the communications link is between the IMD and EI. The method further changes from the first connection interval to a second connection interval based on the connection criteria.

Abstract: A facial tracking method is provided. The method includes: obtaining, from a video stream, an image that currently needs to be processed as a current image frame; and obtaining coordinates of facial key points in a previous image frame and a confidence level corresponding to the previous image frame. The method also includes calculating coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold; and performing multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame. The method also includes calculating a confidence level of the coordinates of the facial key points in the current image frame, and returning to process a next frame until recognition on all image frames is completed.

Abstract: This present disclosure describes a video image processing method and apparatus, a computer-readable medium and an electronic device, relating to the field of image processing technologies. The method includes determining, by a device, a target-object region in a current frame in a video. The device includes a memory storing instructions and a processor in communication with the memory. The method also includes determining, by the device, a target-object tracking image in a next frame and corresponding to the target-object region; and sequentially performing, by the device, a plurality of sets of convolution processing on the target-object tracking image to determine a target-object region in the next frame. A quantity of convolutions of a first set of convolution processing in the plurality of sets of convolution processing is less than a quantity of convolutions of any other set of convolution processing.

Abstract: The invention discloses a connection release structure and a system, wherein the connection release structure is configured for connecting a release object and is arranged on a loading sheath tube, and comprises a connection fixing system and an unlocking sleeve system; the connection fixing system comprises a hook structure, the unlocking sleeve system comprises an unlocking sleeve, the connection fixing structure and the unlocking sleeve are movably connected with the loading sheath tube, the connection fixing structure is configured for being connected with the release object, and the unlocking sleeve is configured for locking the connection fixing structure and the release.

Abstract: An absorbable endoluminal stent and method for preparing the same are provided in the present invention. The absorbable endoluminal stent comprises a stent body, a plurality of through holes formed in the stent body, and bioabsorbable polymeric materials filled in the through holes. When the stent is implanted into the blood vessels, damages on stent caused during crimping and expansion processes are reduced. Radical supporting force duration of stent is improved and mechanical properties of stent after implantation are guaranteed by compositing the materials in the through holes and materials of the stent body.

Abstract: A method for managing power during communication with an implantable medical device, including establishing a communications link, utilizing a power corresponding to a session start power, to initiate a current session between an implantable medical device (IMD) and external device. A telemetry break condition of the communications link is monitored during the current session. The power utilized by the IMD is adjusted between low and high power levels, during the current session based on the telemetry break condition. The number of sessions is counted, including the current session and one or more prior sessions, in which the IMD utilized the higher power level, and a level for the session start power to be utilized to initiate a next session following the current session is adaptively learned based on the counting of the number of sessions.

Abstract: A trajectory tracking method is provided for a computer device. The method includes performing motion tracking on head images in a plurality of video frames, to obtain motion trajectories corresponding to the head images; acquiring face images corresponding to the head images in the video frames, to obtain face image sets corresponding to the head images; determining from the face image sets corresponding to the head images, at least two face image sets having same face images; and combining motion trajectories corresponding to the at least two face image sets having same face images, to obtain a final motion trajectory of trajectory tracking.

Abstract: A method, system and external instrument are provided. The method initiates a communication link between an external instrument (EI) and an implantable medical device (IMD), established a first connection interval for conveying data packets between the EI and IMD and monitors a connection criteria that includes at least one of a data throughput requirement. A battery indicator or link condition of the communications link is between the IMD and EI. The method further changes from the first connection interval to a second connection interval based on the connection criteria.

Abstract: This application provides a method for generating a high-resolution picture performed by a computer device. The method includes: acquiring at least one deep neural network model; acquiring a low-resolution picture; determining a corresponding deep neural network model according to the low-resolution picture; and converting the low-resolution pictures into a high-resolution picture through the deep neural network model, the deep neural network model including a plurality of non-linear conversion convolution layers that alternately use different parameter matrices as convolution template parameters.

Abstract: A method for managing power during communication with an implantable medical device, including establishing a communications link, utilizing a power corresponding to a session start power, to initiate a current session between an implantable medical device (IMD) and external device. A telemetry break condition of the communications link is monitored during the current session. The power utilized by the IMD is adjusted between low and high power levels, during the current session based on the telemetry break condition. The number of sessions is counted, including the current session and one or more prior sessions, in which the IMD utilized the higher power level, and a level for the session start power to be utilized to initiate a next session following the current session is adaptively learned based on the counting of the number of sessions.

Abstract: The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition.

Abstract: The embodiments of the present disclosure disclose a method for constructing a speech decoding network in digital speech recognition. The method comprises acquiring training data obtained by digital speech recording, the training data comprising a plurality of speech segments, and each speech segment comprising a plurality of digital speeches; performing acoustic feature extraction on the training data to obtain a feature sequence corresponding to each speech segment; performing progressive training starting from a mono-phoneme acoustic model to obtain an acoustic model; acquiring a language model, and constructing a speech decoding network by the language model and the acoustic model obtained by training.

Abstract: An implantable medical device (IMD) that includes a transceiver configured to broadcast an advertising data packet that includes a unique identifier, and to receive a scan request data packet from an external device. A memory stores program instructions, and stores an approved device list, and one or more processors are configured to execute the program instructions to identify a device identifier (ID) from the scan request data packet received, apply an advertising filter to determine if the scan request data packet is from an authorized external device based on the device ID and the approved device list, based on the determination by the advertising filter, deny transmission of a scan response data packet from the transceiver when the advertising filter determines that the scan request data packet is from an unauthorized external device, and establish a communication session with an authorized external device independent of the scan request data packet.

Abstract: A voice data processing method and apparatus are provided. The method includes obtaining an I-Vector vector of each of voice samples, and determining a target seed sample in the voice samples. A first cosine distance is calculated between an I-Vector vector of the target seed sample and an I-Vector vector of a target remaining voice sample, where the target remaining voice sample is a voice sample other than the target seed sample in the voice samples. A target voice sample is filtered from the voice samples or the target remaining voice sample according to the first cosine distance, to obtain a target voice sample whose first cosine distance is greater than a first threshold.

Abstract: Methods and systems are provided to manage display of cardiac signals. The methods and systems receive a first data steam along a first communications path conveyed with first throughput and receiving a second data stream along a second communications path transmitted with second throughput. The first and second throughputs are asynchronous with respect to one another. The first and second data streams carry cardiac signals sensed by external and implanted electrodes, respectively, for one or more common events. The methods and systems store data from the first and second data streams in first and second memory buffers. The methods and systems synchronize the data stored in the first and second memory buffers with one another by performing at least one of: temporally offsetting activation of the storing operation for the first and second data streams with respect to one another; or managing an amount of the data maintained in at least one of the first memory buffer or the second memory buffer.