Abstract: The present application relates to a lead for pacing, including: an insulating layer, an electrode head, and at least one anchoring member, where the electrode head is movable relative to the insulating layer between a first position and a second position; the at least one anchoring member is movable relative to the insulating layer between a third position and a fourth position, where the first position is closer to a proximal end of the lead than the second position; the third position is closer to the proximal end of the lead than the fourth position; the electrode head in the first position and the at least one anchoring member in the third position are located within the insulating layer, where an electrode extension portion is a part of the electrode head extending out of the insulating layer.

Abstract: This invention provides a sensing electrode for detecting at least one target gas in a gas mixture having at least one interference gas. In one embodiment, the sensing electrode has: (a) a layer of sensing nanoparticles; (b) a reaction interface; and (c) a solid state electrolyte; each of the sensing nanoparticles has a catalytic core and a photoactive porous shell, the catalytic core breaks down said at least one interference gas, the photoactive porous shell enhances electrochemical reaction at said reaction interface when illuminated with light of a specific wavelength.

Abstract: An application phenyl-?-D-glucuronide in preparing a drug for pre-warning of cancer via induced volatolomics is provided, which belongs to the field of cancer detection drugs. Phenyl-?-D-glucuronide exists in natural organisms, which has been verified by animal experiments to be non-toxic and safe. In addition, the phenyl-?-D-glucuronide can be decomposed into phenol which almost does not exist in the body through a tumor part in vivo to serve as a specific marker, so that the influence of individual factors on the pre-warning accuracy in the induced volatolomics can be avoided.

Abstract: The present invention provides methods and devices for detecting and distinguishing various types of gas molecules or volatile organic compounds (VOCs), the methods and devices have enhanced sensing ability; namely response magnitude, sensitivity, detection limit and selectivity (i.e., classification capability). In one embodiment, the present invention provides methods and devices for diagnosing a disease in a subject or a health status of a subject through the detection of VOCs indicative of the disease or health status in question from breath of the subject. In one embodiment, the present invention provides methods and devices for detecting the existence of lung cancer or the stage of lung cancer in a subject through the detection of VOCs indicative of the existence of lung cancer from breath of the subject.

Abstract: A preparation method of indium oxide with stable morphology includes: (1) mixing indium oxide powder and bismuth oxide powder according to a mass ratio of 1:0.1-0.5 to obtain a powder mixture; (2) putting the powder mixture into a ball mill for ball milling at room temperature to obtain a uniform powder mixture; (3) putting the obtained uniform powder mixture into a muffle furnace and calcining at 700-1000° C.; and (4) obtaining the indium oxide with cubic stable morphology after the muffle furnace naturally cools to room temperature. The method has advantages of simple synthesis process, short synthesis period, high sample yield, no need of complicated equipment, and morphology of the obtained indium oxide can be maintained after being heated at a high temperature within 1000° C. for 2 hours. An electrochemical sensor prepared by using the indium oxide obtained by the method has better selectivity to nonane.

Abstract: This invention provides a sensing electrode for detecting at least one target gas in a gas mixture having at least one interference gas. In one embodiment, the sensing electrode has: (a) a layer of sensing nanoparticles; (b) a reaction interface; and (c) a solid state electrolyte; each of the sensing nanoparticles has a catalytic core and a photoactive porous shell, the catalytic core breaks down said at least one interference gas, the photoactive porous shell enhances electrochemical reaction at said reaction interface when illuminated with light of a specific wavelength.

Abstract: A preparation method of indium oxide with stable morphology includes: (1) mixing indium oxide powder and bismuth oxide powder according to a mass ratio of 1:0.1-0.5 to obtain a powder mixture; (2) putting the powder mixture into a ball mill for ball milling at room temperature to obtain a uniform powder mixture; (3) putting the obtained uniform powder mixture into a muffle furnace and calcining at 700-1000° C.; and (4) obtaining the indium oxide with cubic stable morphology after the muffle furnace naturally cools to room temperature. The method has advantages of simple synthesis process, short synthesis period, high sample yield, no need of complicated equipment, and morphology of the obtained indium oxide can be maintained after being heated at a high temperature within 1000° C. for 2 hours. An electrochemical sensor prepared by using the indium oxide obtained by the method has better selectivity to nonane.

Abstract: Described are systems and methods for generating synthetic image data including synthetic images, depth information, and optical flow data. Embodiments of the invention assemble image scenes from virtual objects and capture realistic perspectives of images scenes as synthetic images. Realistic perspectives captured in synthetic images are defined by camera views created from camera settings files. To simulate capture performance of smartphone cameras, stereo cameras, and other actual camera devices, capture, calibration, and camera intrinsic parameters included in camera settings files are identical to parameters included in actual cameras. Synthetic image datasets generated by the systems and methods described herein are used to train machine learning systems generating machine learning models for performing computer vision tasks.

Abstract: Described are calibration and rectification systems and methods for 3D cameras. The calibration methods described herein derive calibration parameters in real time for multiple camera settings. Calibration parameters are used to rectify stereo images as part of a process for creating 3D images, videos, and VR or AR experiences. Additionally multi-camera systems for implementing the calibration and rectification methods are disclosed. 3D camera calibration methods involving a limited number of calibration points reduce the cost and complexity of conventional calibration methods while also allowing for higher performing 3D cameras having many possible configurations of camera settings.

Abstract: The present invention provides methods and devices for detecting and distinguishing various types of gas molecules or volatile organic compounds (VOCs), the methods and devices have enhanced sensing ability; namely response magnitude, sensitivity, detection limit and selectivity (i.e., classification capability). In one embodiment, the present invention provides methods and devices for diagnosing a disease in a subject or a health status of a subject through the detection of VOCs indicative of the disease or health status in question from breath of the subject. In one embodiment, the present invention provides methods and devices for detecting the existence of lung cancer or the stage of lung cancer in a subject through the detection of VOCs indicative of the existence of lung cancer from breath of the subject.

Abstract: Described are systems and methods for generating synthetic image data including synthetic images, depth information, and optical flow data. Embodiments of the invention assemble image scenes from virtual objects and capture realistic perspectives of images scenes as synthetic images. Realistic perspectives captured in synthetic images are defined by camera views created from camera settings files. To simulate capture performance of smartphone cameras, stereo cameras, and other actual camera devices, capture, calibration, and camera intrinsic parameters included in camera settings files are identical to parameters included in actual cameras. Synthetic image datasets generated by the systems and methods described herein are used to train machine learning systems generating machine learning models for performing computer vision tasks.

Abstract: A system of calibrating a multi-camera device that include two or more planar calibration targets, arranged in a non-planar orientation. The system mechanically moves the calibration targets relative to the multi-camera device to change the relative orientation. The system records images with the multi-camera device at various orientations. The recorded images contain one or more of the constituent planar calibration targets. The system identifies and extracts the pixel coordinates of each constituent planar calibration target from each image.

Abstract: Described are image and video processing systems and methods for auto re-calibration of stereo camera devices. The auto re-calibration processes described herein transform image data into re-calibration data used to correct calibration errors in real time. The auto re-calibration processes leverage position data shifting, image data filtering, and disparity analysis to generate one or more calibration profiles that track the position of the camera modules included in stereo camera devices. Calibration profiles are then used to generate pixel shift parameters describing how to modify the position of image pixels and or camera modules to improve rectification and projection of 3D images and video frames. Additionally multi-camera systems implementing the auto re-calibration processes are disclosed.

Abstract: Described are digital camera devices for 3D Imaging. Embodiments of the invention capture and process sensory data including image data to produce 3D content and generate depth information. Digital camera devices improve upon existing camera devices by implementing dynamic calibration processes that improve the quality of image capture and image projection. In some embodiments the digital camera devices include an imaging system for performing computer vision tasks including scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, object tracking, facial recognition, object counting, 3D imaging, image enhancement and image restoration.

Abstract: Described are digital camera devices for 3D Imaging. Embodiments of the invention capture and process sensory data including image data to produce 3D content and generate depth information. Digital camera devices improve upon existing camera devices by implementing dynamic calibration processes that improve the quality of image capture and image projection. In some embodiments the digital camera devices include an imaging system for performing computer vision tasks including scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, object tracking, facial recognition, object counting, 3D imaging, image enhancement and image restoration.

Abstract: Described are image and video processing systems and methods for auto re-calibration of stereo camera devices. The auto re-calibration processes described herein transform image data into re-calibration data used to correct calibration errors in real time. The auto re-calibration processes leverage position data shifting, image data filtering, and disparity analysis to generate one or more calibration profiles that track the position of the camera modules included in stereo camera devices. Calibration profiles are then used to generate pixel shift parameters describing how to modify the position of image pixels and or camera modules to improve rectification and projection of 3D images and video frames. Additionally multi-camera systems implementing the auto re-calibration processes are disclosed.

Abstract: A system of calibrating a multi-camera device that include two or more planar calibration targets, arranged in a non-planar orientation. The system mechanically moves the calibration targets relative to the multi-camera device to change the relative orientation. The system records images with the multi-camera device at various orientations. The recorded images contain one or more of the constituent planar calibration targets. The system identifies and extracts the pixel coordinates of each constituent planar calibration target from each image.

Abstract: Described are calibration and rectification systems and methods for 3D cameras. The calibration methods described herein derive calibration parameters in real time for multiple camera settings. Calibration parameters are used to rectify stereo images as part of a process for creating 3D images, videos, and VR or AR experiences. Additionally multi-camera systems for implementing the calibration and rectification methods are disclosed. 3D camera calibration methods involving a limited number of calibration points reduce the cost and complexity of conventional calibration methods while also allowing for higher performing 3D cameras having many possible configurations of camera settings.

Abstract: A computerized system for displaying stereoscopic three-dimensional (3D) video recorded on a stereoscopic camera device includes a computer store containing data. The data includes a stereoscopic video feed of two or more stereoscopic images from a stereoscopic video capture device, wherein the stereoscopic video feed comprises a plurality of contemporaneous metadata feeds, wherein a metadata feed comprises a time sequenced set of metadata obtained from a sensor of the stereoscopic video capture device. The computerized system includes a computer processor in the stereoscopic video capture device, which computer processor is coupled to the computer store and programmed to obtain the stereoscopic video feed from the computer store, parse the plurality of contemporaneous metadata feeds from the stereoscopic video feed, and calibrate the stereoscopic video feed for display in a display of a user's computing device using the plurality of contemporaneous metadata feeds.

Abstract: A computerized system for displaying stereoscopic three-dimensional (3D) video recorded on a stereoscopic camera device includes a computer store containing data. The data includes a stereoscopic video feed of two or more stereoscopic images from a stereoscopic video capture device, wherein the stereoscopic video feed comprises a plurality of contemporaneous metadata feeds, wherein a metadata feed comprises a time sequenced set of metadata obtained from a sensor of the stereoscopic video capture device. The computerized system includes a computer processor in the stereoscopic video capture device, which computer processor is coupled to the computer store and programmed to obtain the stereoscopic video feed from the computer store, parse the plurality of contemporaneous metadata feeds from the stereoscopic video feed, and calibrate the stereoscopic video feed for display in a display of a user's computing device using the plurality of contemporaneous metadata feeds.