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    <title>Repository Community: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/183</link>
    <description />
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        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/47280" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/46987" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/46978" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/45791" />
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    <dc:date>2026-04-04T09:43:32Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/47280">
    <title>중추신경계 손상 환자를 위한 임상친화적인 상지 운동능력 평가 자동화 시스템</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/47280</link>
    <description>Title: 중추신경계 손상 환자를 위한 임상친화적인 상지 운동능력 평가 자동화 시스템
Author(s): 김종현</description>
    <dc:date>2017-02-05T15:00:00Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/46987">
    <title>A Novel Movement Intention Detection Method for Neurorehabilitation Brain-Computer Interface System</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/46987</link>
    <description>Title: A Novel Movement Intention Detection Method for Neurorehabilitation Brain-Computer Interface System
Author(s): Song, Minsu; Oh, Seunghue; Jeong, Hojun; Kim, Jongbum; Kim, Jonghyun
Abstract: In brain-computer interface based on motor imagery for rehabilitation, false positive could be a major cause of undesired brain plasticity which ends up with the wrong reconstruction of damaged brain tracts. Moreover, the number of electroencephalogram (EEG) electrodes required would be the reason of practical difficulties to clinical use. To reduce the false positive and the number of electrodes required, we proposed a novel two-phase classifier based on detecting Mu band event-related desynchronization (ERD). Along with five channels to detect motor imagery, the algorithm only uses three channels to reject ERD-like noise or non-motor signals. The performance of the proposed algorithm was evaluated through two-day experiments with four healthy subjects. The total sensitivity was 60.83% and the total selectivity was 78.49%. Those experimental results show that the proposed method can reduce the rate of false positives with small number of EEG channels. © 2018 IEEE.</description>
    <dc:date>2018-10-07T15:00:00Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/46978">
    <title>Toward clinically-relevant joint moment estimation during sit to stand: A feasibility study</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/46978</link>
    <description>Title: Toward clinically-relevant joint moment estimation during sit to stand: A feasibility study
Author(s): Hwang, Seoyoon; Choi, Seoyoung; Kim, Jonghyun
Abstract: Conventional motion analysis system to measure joint moment during sit to stand is impractical to be used in clinics. Inertial sensor-based motion analysis system has been proposed to improve usability. In this study, we propose a simple system that can predict joint moment, especially maximum joint moment, with a minimum number of an inertial sensor attached and force plate; shank and thigh angles were estimated with a kinematic model and an effective joint moment analysis period. Through a validation experiment with eight subjects, the estimated joint moments were comparable to be actual joint moment measured by the conventional system, also the previous study with the inertial system. © 2019 IEEE.</description>
    <dc:date>2019-07-23T15:00:00Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/45791">
    <title>경직 평가를 보조하기 위한 시스템</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/45791</link>
    <description>Title: 경직 평가를 보조하기 위한 시스템
Author(s): 최서영; 김종현
Abstract: 일 실시예에 따른 경직 평가를 보조하기 위한 시스템은 오브젝트의 제1부분과 제2부분이 만나는 관절이 회전함에 따라 상기 제1부분과 상기 제2부분이 이루는 관절의 각도와 관절의 각속도를 측정하는 측정기; 및 상기 관절의 각도를 이용하여 상기 제1부분과 상기 제2부분 중 적어도 하나의 부분에서의 캐치의 발생 유무와 캐치의 발생 시점을 계산하고, 상기 관절의 각속도를 이용하여 상기 관절의 저항 강도를 계산하고, 캐치의 발생 유무와, 캐치의 발생 시점과, 관절의 저항 강도에 기초하여 설정 경직 평가 척도에 따른 복수 개의 등급들 중 어느 하나의 등급을 산출하는 프로세서;를 포함할 수 있다.</description>
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