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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.12
- 수록면
- 470 - 476 (7page)
- DOI
- 10.4283/JMAG.2023.28.4.470
이용수
초록· 키워드
오류제보하기
Non-invasive technologies have significantly influenced the advancement of electromagnetics- and optics-based diagnostic methodologies in clinical settings. While the Romberg test is a pivotal preliminary screening tool for motor ataxia, its intrinsic subjectivity and constrained diagnostic sensitivity, owing to its reliance on visual appraisal by clinicians, critically limit its efficacy. To surmount these limitations, this study instituted a webcam-based quantitative diagnostic approach to capture and analyze human motion. Precise analytical procedures using artificial intelligence were devised to examine skeletal joint-position variance, culminating in a comparison of individuals exhibiting normal and control signs. Rigorous statistical scrutiny via Mann–Whitney U testing substantiated statistically significant divergences between the two cohorts (p＜0.001), thereby validating this technological advancement’s potential in capturing nuanced movements traditionally challenging to qualitatively assess. This endeavor fortifies the Romberg test’s diagnostic capabilities and extrapolates the significance of non-invasive technologies, albeit without direct implications on treatment, in enhancing clinical diagnostic protocols.
목차
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusion
References
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