公开(公告)号：US20240242500A1

公开(公告)日：2024-07-18

申请号：US18559084

申请日：2022-03-04

Applicant: SHIMADZU CORPORATION

Inventor： Ayako AKAZAWA ,  Tomotaka NAGASHIMA ,  Akie SOTOGUCHI

IPC: G06V20/40 ,  A61B5/00 ,  A61B5/11 ,  G06V10/24 ,  G06V40/10 ,  G06V40/20

CPC classification number: G06V20/41 ,  A61B5/1128 ,  A61B5/4561 ,  A61B5/4806 ,  A61B5/742 ,  G06V10/242 ,  G06V20/47 ,  G06V40/10 ,  G06V40/23 ,  G06V2201/03

Abstract: A sleeping video analysis method according to this invention includes a lying posture estimation step (step 311) of estimating a lying posture of a subject (200) while sleeping based on a sleeping video of a subject (200) while sleeping; a lying posture classification step (step 313) of classifying the lying posture based on a lying posture estimation result(s) of the lying posture estimation step (step 311); and a body movement measurement step (step 314) of measuring body movement based on the lying posture estimation result(s) of the lying posture estimation step (311). The sleeping video analysis method includes a display step of displaying at least one of a lying posture classification result(s) and a body movement measurement result(s).

公开(公告)号：US12036021B2

公开(公告)日：2024-07-16

申请号：US18511919

申请日：2023-11-16

Applicant: CENTRAL CHINA NORMAL UNIVERSITY

Inventor： Liang Zhao ,  Sannyuya Liu ,  Zongkai Yang ,  Xiaoliang Zhu ,  Jianwen Sun ,  Qing Li ,  Zhicheng Dai

IPC: A61B8/14 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/1171 ,  A61B5/16 ,  G06N3/0464 ,  G06N3/08 ,  G06V10/30 ,  G06V40/16 ,  A61B5/024 ,  A61B5/08

CPC classification number: A61B5/16 ,  A61B5/0205 ,  A61B5/1176 ,  A61B5/725 ,  A61B5/726 ,  A61B5/7264 ,  G06N3/0464 ,  G06N3/08 ,  G06V10/30 ,  G06V40/161 ,  A61B5/02427 ,  A61B5/0816 ,  G06V2201/03

Abstract: The present disclosure provides a non-contact fatigue detection system and method based on rPPG. The system and method adopt multi-thread synchronous communication for real-time acquisition and processing of rPPG signal, enabling fatigue status detection. In this setup, the first thread handles real-time rPPG data capture, storage and concatenation, while the second thread conducts real-time analysis and fatigue detection of rPPG data. Through a combination of skin detection and LUV color space conversion, rPPG raw signal extraction is achieved, effectively eliminating interference from internal and external environmental facial noise; Subsequently, an adaptive multi-stage filtering process enhances the signal-to-noise ratio, and a multi-dimensional fusion CNN model ensures accurate detection of respiration and heart rate. The final step involves multi-channel data fusion of respiration and heartbeats, succeeding in not only learning person-independent features for fatigue detection but also detecting early fatigue with very high accuracy.

公开(公告)号：US20240231392A1

公开(公告)日：2024-07-11

申请号：US18287191

申请日：2021-05-26

Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

Inventor： CHENG NI ,  WEI ZHANG ,  ZHI-DU ZHANG ,  XU-KUN WANG ,  LI WANG ,  YI-FENG WANG

IPC: G05D1/689 ,  A61B5/00 ,  A61B34/10 ,  A61B34/20 ,  A61B34/30 ,  A61B90/00 ,  G06T7/00 ,  G06T7/73 ,  G06V10/80 ,  G06V20/58 ,  G06V40/10

CPC classification number: G05D1/689 ,  A61B5/0077 ,  A61B5/6887 ,  A61B34/30 ,  G06T7/0012 ,  G06T7/73 ,  G06V10/806 ,  G06V20/58 ,  G06V40/10 ,  A61B2034/107 ,  A61B2034/2055 ,  A61B2090/366 ,  G06T2207/30004 ,  G06T2207/30252 ,  G06V2201/03

Abstract: An operation method, a device, a system and a mobile device for a medical device are disclosed. The method comprises: when it is detected that a target object reaches an operation area, projecting a first image in the operation area (S201), the first image being used for guiding the target object into a preset area; when the target object enters the preset area, acquiring position information of the target object on the preset area, and controlling, according to the position information, a target operation device to perform a first target operation (S202); and obtaining feature information of the target object in real time when the target operation device performs the first target operation, and controlling, according to the feature information, the target operation device to adjust the first target operation (S203). The accuracy of the first target operation performed by the target operation device is ensured.

公开(公告)号：US12033104B2

公开(公告)日：2024-07-09

申请号：US17643248

申请日：2021-12-08

Applicant: Theator Inc.

Inventor： Tamir Wolf ,  Dotan Asselmann ,  Evgeny Makrinich ,  Asaf Rafaeli ,  Barak Ariel

IPC: A61B5/00 ,  A61B34/00 ,  A61B34/20 ,  A61B90/00 ,  G06N20/00 ,  G06Q10/0639 ,  G06T7/00 ,  G06T7/20 ,  G06T7/70 ,  G06T7/90 ,  G06V10/764 ,  G06V20/40 ,  G11B27/10 ,  G11B27/11 ,  G11B27/34 ,  G16H10/60 ,  G16H15/00 ,  G16H20/40 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/30 ,  G16H50/70 ,  G16H70/20 ,  G06F3/0482 ,  G16H50/20

CPC classification number: G06Q10/06398 ,  A61B34/20 ,  A61B34/25 ,  A61B90/37 ,  G06N20/00 ,  G06T7/0014 ,  G06T7/20 ,  G06T7/70 ,  G06T7/90 ,  G06V10/764 ,  G06V20/40 ,  G06V20/41 ,  G06V20/46 ,  G06V20/48 ,  G06V20/49 ,  G11B27/102 ,  G11B27/11 ,  G11B27/34 ,  G16H10/60 ,  G16H15/00 ,  G16H20/40 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/30 ,  G16H50/70 ,  G16H70/20 ,  A61B2034/2065 ,  A61B2034/256 ,  A61B2560/0487 ,  G06F3/0482 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V20/44 ,  G06V2201/03 ,  G06V2201/034 ,  G16H50/20

Abstract: Systems, methods, and computer readable media related to aggregating and associated captured medical data are disclosed. They involve receiving an ID of a piece of equipment in a medical facility, location information for the equipment, and medical information captured by the equipment; and ascertaining a time of information capture by the equipment. They further involve performing a lookup in a data record to determine an identity of a particular patient assigned to a location associated with the location information and performing a lookup in a data structure to identify a medical record of the particular patient. They further involve establishing an association between the medical information captured by the equipment and the medical record to thereby enable access to the medical information through access to the medical record of the particular patient.

公开(公告)号：US20240221355A1

公开(公告)日：2024-07-04

申请号：US17922883

申请日：2021-12-08

Applicant: MEDIPIXEL, INC.

Inventor： Jihoon KWEON ,  Kyo Seok SONG ,  Hwi KWON ,  Se Yeong PARK ,  Young-Hak KIM ,  Jee One PARK ,  Young In KIM ,  Wan Yeong KIM ,  Yoo Jung KIM ,  Yun Hee LEE

IPC: G06V10/764 ,  G06V10/22 ,  G06V10/26 ,  G06V10/98 ,  G16H30/40

CPC classification number: G06V10/764 ,  G06V10/22 ,  G06V10/273 ,  G06V10/98 ,  G16H30/40 ,  G06V2201/03

Abstract: A vascular image processing method performed by a processor includes extracting, from a vascular image, a first vascular region corresponding to an entire blood vessel included in the vascular image, a second vascular region corresponding to a target vessel and one or more branch vessels connected to the target vessel, and a third vascular region corresponding to the target vessel, and predicting a vascular structure in the vascular image, based on the first vascular region, the second vascular region, and the third vascular region, which are extracted from the vascular image.

公开(公告)号：US20240221165A1

公开(公告)日：2024-07-04

申请号：US18605780

申请日：2024-03-14

Applicant: Align Technology, Inc.

Inventor： Mikhail Minchenkov ,  Ran Katz ,  Pavel Agniashvili ,  Chad Clayton Brown ,  Jonathan Coslovsky

IPC: G06T7/11 ,  A61C9/00 ,  A61C13/34 ,  G06F18/2431 ,  G06N3/044 ,  G06N3/08 ,  G06T7/00 ,  G06T17/00 ,  G06T19/20 ,  G06V10/44 ,  G06V10/82 ,  G06V20/64

CPC classification number: G06T7/11 ,  A61C9/0053 ,  A61C13/34 ,  G06F18/2431 ,  G06N3/044 ,  G06N3/08 ,  G06T7/0012 ,  G06T17/00 ,  G06T19/20 ,  G06V10/454 ,  G06V10/82 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30036 ,  G06T2207/30052 ,  G06T2210/41 ,  G06T2219/008 ,  G06T2219/2021 ,  G06V20/653 ,  G06V2201/03

Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates intraoral scans of a dental site. The computing device processes the intraoral scans using a trained machine learning model to classify points of the intraoral scans into first points having a first dental class and second points having a second dental class; generates a 3D model of the dental site from the intraoral scans; determines first points of the 3D model having the first dental class based on the first points of the intraoral scans and second points of the virtual 3D model having the second dental class based on the second points of the intraoral scans; and removes data for a plurality of the first points of the virtual 3D model having the first dental class to generate a modified virtual 3D model.

公开(公告)号：US12027254B2

公开(公告)日：2024-07-02

申请号：US17179999

申请日：2021-02-19

Applicant: Siemens Healthcare GmbH ,  The General Hospital Corporation

Inventor： Daniel Polak ,  Kawin Setsompop

IPC: G06K9/00 ,  A61B5/055 ,  G06F18/214 ,  G06F18/22 ,  G06N3/08 ,  G06T7/20 ,  G06T7/30 ,  G06T11/00 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40

CPC classification number: G16H30/40 ,  A61B5/055 ,  G06F18/214 ,  G06F18/22 ,  G06N3/08 ,  G06T7/20 ,  G06T7/30 ,  G06T11/006 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/03

Abstract: A method for reconstructing a MRI image may include: receiving MRI measurement data sets f1 to fN, each data set being acquired from an examination object based on a different MRI protocol of an MRI system; receiving MRI images u10 to uN0 corresponding to the MRI measurement data sets f1 to fN; performing one or more translation and rotation transformations on the MRI images u10 to uN0; applying one or more trained functions: to the transformed MRI images u10 to uN0, using a neural network, and to the MRI images u10 to uN0, using a forward-sampling operator; performing one or more inverse translation and rotation transformations on an output of the neural network; and generating at least one output MRI image uT based on an output of the forward-sampling operator, the inversely transformed output of the neural network, and the input MRI images u10 to uN0.

公开(公告)号：US12026879B2

公开(公告)日：2024-07-02

申请号：US17536284

申请日：2021-11-29

Applicant: Fulian Precision Electronics (Tianjin) Co., LTD.

Inventor： Meng-Ping Lu

IPC: G06T7/00 ,  A61B5/08 ,  G06V10/25 ,  G06V10/40 ,  G06V10/776

CPC classification number: G06T7/0012 ,  A61B5/08 ,  G06V10/25 ,  G06V10/40 ,  G06V10/776 ,  G06V2201/03

Abstract: A pneumonia area detecting system includes an information obtaining module, an image preprocessing module, a calculating module, and a pneumonia area detecting model. The information obtaining module obtains medical images and a frame size of an initial pneumonia area. The image preprocessing module processes the medical images to obtain a standard format image. The calculating module processes the frame size of the initial pneumonia area through a preset algorithm and the standard format image, to obtain a frame size of a standard format pneumonia area. The pneumonia area detecting model obtains an output pneumonia area according to the standard format image and the frame size of the standard format pneumonia area. A pneumonia area detecting method and an electronic device are also provided in the present disclosure.

公开(公告)号：US20240212151A1

公开(公告)日：2024-06-27

申请号：US18370559

申请日：2023-09-20

Applicant: SKILLED SKIN SL

Inventor： Alberto Siré Langa ,  David Reifs Jiménez ,  Ibon Uribe Elorrieta

IPC: G06T7/00 ,  A61B5/00 ,  A61B5/103 ,  G06T7/11 ,  G06T7/62 ,  G06T11/00 ,  G06T11/20 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06T7/0014 ,  A61B5/1032 ,  A61B5/445 ,  G06T7/11 ,  G06T7/62 ,  G06T11/001 ,  G06T11/206 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/20084 ,  G06T2207/30088 ,  G06T2207/30096 ,  G06V2201/03

Abstract: An ulcer-related control, prognosis and comparative support procedure is provided that includes the following stages: measuring the area of the ulcer and ROI (1) by taking an image of the area of the ulcer and ROI (1.a), segmenting the tissues obtained in the image of the ulcer area and ROI (1.a)., obtaining the base characteristics vector, depicting the state of the tissues, classifying ulcers, supporting user's decisions, archiving registered clinical cases, and supporting user's decisions by comparing the global characteristics vector with the global characteristics vectors of the registered ulcer clinical cases.

公开(公告)号：US20240206806A1

公开(公告)日：2024-06-27

申请号：US18600788

申请日：2024-03-11

Applicant: INHANDPLUS INC.

Inventor： Hwiwon LEE

IPC: A61B5/00 ,  G06F18/214 ,  G06N20/00 ,  G06T7/20 ,  G06T7/246 ,  G06V10/94 ,  G06V20/40 ,  G06V40/20 ,  G08C17/02 ,  G16H20/10 ,  G16H40/63 ,  G16H50/20 ,  H04N5/765 ,  H04W76/10

CPC classification number: A61B5/4833 ,  G06F18/2148 ,  G06N20/00 ,  G06T7/20 ,  G06T7/251 ,  G06V10/95 ,  G06V20/41 ,  G06V40/20 ,  G08C17/02 ,  G16H20/10 ,  G16H40/63 ,  G16H50/20 ,  H04N5/765 ,  H04W76/10 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/30196 ,  G06V2201/03

Abstract: A monitoring system for obtaining a video related to medication adherence of a user, includes: a wireless communication device comprising a motion sensor, an ambient light sensor, a first transceiver transmitting data to an external device, and a first controller configured to control the motion sensor, the ambient light sensor, and the first transceiver, the wireless communication device having an attaching portion for being attached to an object containing a medication; and a wearable device including a camera, a second transceiver receiving a signal from the first transceiver, and a second controller configured to obtain video data through the camera based on the signal received through the second transceiver.