公开(公告)号：US20150133808A1

公开(公告)日：2015-05-14

申请号：US14471762

申请日：2014-08-28

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY ,  THE ASAN FOUNDATION

Inventor： Jong Min LEE ,  Yoha HWANG ,  Seung-Jong KIM ,  Kyoung Jae KIM ,  Hyeong-jin JEON ,  Gi-Byoung NAM ,  Yong-Giun KIM

IPC: A61B5/0456

CPC classification number: A61B5/0456 ,  A61B5/0402 ,  A61B5/0452

Abstract: Provided is a non-invasive system for estimating an atrial signal, including a plurality of sensors to sense a surface electrocardiogram signal, a reference atrial signal generation unit to generate an estimated ventricular signal with respect to a R wave in an electrocardiogram signal from one sensor among the plurality of sensors, and to generate a reference atrial signal by subtracting the estimated ventricular signal from the electrocardiogram signal from the one sensor, and an atrial signal estimation unit to generate an estimated atrial signal by applying a constrained independent component analysis algorithm based on the reference atrial signal to the received surface electrocardiogram signal, and to estimate one of the estimated atrial signals as an actual atrial signal, and a method using the same.

Abstract translation: 提供了一种用于估计心房信号的非侵入性系统，包括用于感测表面心电图信号的多个传感器，参考心房信号生成单元，用于在来自一个传感器的心电图信号中产生相对于R波的估计的心室信号 并且通过从来自所述一个传感器的心电图信号中减去所估计的心室信号以及心房信号估计单元来生成参考心房信号，以通过应用约束独立分量分析算法来产生估计的心房信号，所述约束独立分量分析算法基于 参考心房信号到接收表面的心电图信号，并且估计估计的心房信号之一作为实际心房信号，以及使用其的方法。

公开(公告)号：US20170080256A1

公开(公告)日：2017-03-23

申请号：US15262370

申请日：2016-09-12

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hyung Min KIM ,  Seung-Jong KIM ,  Inchan Youn ,  Jong Min LEE

IPC: A61N7/00 ,  A61B5/00 ,  A61B5/0476

CPC classification number: A61N7/00 ,  A61B5/0476 ,  A61B5/055 ,  A61B5/14542 ,  A61B5/4064 ,  A61B5/4836 ,  A61N2007/0021 ,  A61N2007/0026

Abstract: A brain to brain interface system has a brain activity detection device configured to detect activity state information of a brain, a brain stimulation device configured to stimulate an area of at least a part of the brain to activate or inactivate brain cells of the corresponding area, and a computer configured to control the brain activity detection device and the brain stimulation device, wherein brain activity state information of a subject's brain (“a target brain”) is obtained through the brain activity detection device, and an area of at least a part of the target brain is stimulated through the brain stimulation device based on the brain activity state information of the target brain to regulate a function of the target brain.

公开(公告)号：US20150332013A1

公开(公告)日：2015-11-19

申请号：US14331825

申请日：2014-07-15

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Jong Min LEE ,  Seung-Jong KIM ,  Yoha HWANG ,  Kyoung Jae KIM ,  Sang hun CHUNG

IPC: G06F19/00 ,  G06F17/10

CPC classification number: G06F3/015 ,  A61B5/0488 ,  A61B5/4528 ,  G16H50/50

Abstract: A human joint kinematics information extraction method includes generating a joint kinematics parameter estimator of a multiple linear model based on electromyogram (EMG) signals and joint kinematics information in the event of joint movement, measuring EMG signals in real time, and estimating joint kinematics information by applying the EMG signals measured in real time to the joint kinematics parameter estimator. Accordingly, human joint kinematics information may be extracted safely and accurately using surface EMG signals extracted non-invasively.

Abstract translation: 人体关节运动学信息提取方法包括：在联合移动的情况下，基于肌电图（EMG）信号和关节运动学信息生成多线性模型的关节运动学参数估计器，实时测量EMG信号，以及通过以下方式估计关节运动学信息： 将实时测量的EMG信号应用于关节运动学参数估计器。 因此，使用非侵入性地提取的表面EMG信号，可以安全且准确地提取人体关节运动学信息。