公开(公告)号：US20180137246A1

公开(公告)日：2018-05-17

申请号：US15803166

申请日：2017-11-03

Applicant: Hefei University of Technology

Inventor： Shuai DING ,  Shanlin YANG ,  Wenjuan FAN ,  Feng NIU ,  Zeyuan WANG ,  Ling LI ,  Zijie YUE

IPC: G06F19/00 ,  H04L29/08

CPC classification number: G16H10/60 ,  H04L63/08 ,  H04L67/04 ,  H04L67/06 ,  H04L67/1095 ,  H04L67/1097 ,  H04L67/26 ,  H04L67/42 ,  H04W12/06

Abstract: The present invention discloses a multimode mobile electronic medical record system and a working method thereof. The multimode mobile electronic medical record system comprises a plurality of mobile terminals, service server, push server, authentication server and cloud server. The mobile terminal comprises a medical record information collection module, a medical record generation module, a medical record synchronization module, a medical record parsing module and a medical record showing module. The service server comprises a medical record storage module and a medical record exchange module. The push server comprises a medical record push module. The authentication server comprises a medical record safety control module. The multimode mobile electronic medical record system can meet collection, integration and transfer of multimode electronic medical record information in a mobile medical environment, and can efficiently improve efficiency and convenience of mobile medical services.

公开(公告)号：US20240005532A1

公开(公告)日：2024-01-04

申请号：US18346331

申请日：2023-07-03

Applicant: Hefei University of Technology

Inventor： Xiaojian LI ,  Ling LI ,  Shanlin YANG ,  Youtong TANTAI ,  Jin FANG ,  Jieyu ZHENG ,  Shuai DING ,  Lin ZHANG ,  Yanwei QU ,  Hua TANG ,  Liangkuan BI

IPC: G06T7/246 ,  G06T7/73 ,  G06T7/50 ,  G06T7/60 ,  G06T3/00 ,  G06V10/46

CPC classification number: G06T7/248 ,  G06T7/74 ,  G06T7/50 ,  G06T7/60 ,  G06T3/0006 ,  G06V10/462 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/10068 ,  G06T2207/30004

Abstract: Dynamic tracking methods for an in-vivo three-dimensional key point and an in-vivo three-dimensional curve can include mapping a first local region to a first local point cloud and mapping a second local region to a second local point cloud according to a mapping relation between an endoscopic image and the point clouds; determining a first three-dimensional key point of a first two-dimensional key point on the first local point cloud, and acquiring a second three-dimensional key point on the second local point cloud through a coordinate transformation; and mapping the second three-dimensional key point back to the second local region, so as to acquire a second two-dimensional key point from a next image; and acquiring two-dimensional coordinates of a tracked key point by minimizing a preset optimization function in combination with an initial two-dimensional key point, and finally acquiring corresponding three-dimensional coordinates.