인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Gait asymmetry in stroke patients results in various disadvantages, such as increased fall risks and metabolic costs. To tackle this problem, various wearable robots were introduced for daily assistance, improving gait asymmetry of stroke patients. However, their performances were limited because they couldn’t target gait asymmetry over whole gait phases. Furthermore, their gait asymmetry measurements include errors under variable speeds, which are common in stroke patients. To solve this problem, a new metric quantifying gait asymmetry in real-time is required. In this study, we propose an index that defines real-time gait asymmetry by comparing the phase portraits of the affected and unaffected limbs. Proposed asymmetry index is advantageous for improving gait asymmetry due to its real-time measurability over gait phases and robustness over variable gait speeds. We investigated whether the index is consistent with conventional gait symmetry index, Range of Motion Symmetry Index. Three stroke patients’ data were analyzed and revealed a positive correlation between the two. Also, we validated that the proposed index can be calculated over gait phases in real-time.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-096350162
