早期检测和分类平衡病理的框架,使用位学和人体测量变量
Arnab Sarmah1, Raghav Aggarwal2, Sarth Sameer Vitekar2
1Department of Mechanical Engineering, IIT Guwahati, Assam, India; Graduate School of Engineering, Gifu University, Gifu, Japan.
Clinical biomechanics (Bristol, Avon)
|February 23, 2024
概括
早期检测成年人平衡障碍是可以使用体位图和个人数据. 结合这些因素可以提高准确性,帮助及时干预,提高生活质量.
科学领域:
- 生物医学工程 生物医学工程
- 老年学是一门学科.
- 临床生物力学 临床生物力学
背景情况:
- 目前,在成年人中早期发现平衡障碍是有限的.
- 需要可访问的数据来识别早期的平衡问题.
研究的目的:
- 为了在平衡障碍的早期阶段识别成年人.
- 利用易于获取和可测量的数据进行早期检测.
主要方法:
- 利用来自163名受试者的开源数据 (47名男性,116名女性).
- 包括体位图 (压力位移中心),人体测量/个人变量,以及Trail Making Test分数.
- 在75%和25%的数据上训练并测试了分类算法,在健康的数据集上进行验证.
主要成果:
- 包括人体测量和个人变量以及压力中心功能,提高了分类准确度和灵敏度.
- 压力位移中心的标准偏差比平均值更有效.
- 验证显示了类似的性能改善,除了使用神经网络.
结论:
- 姿势学,人体测量,个人数据和自我评估尺度可以有效地识别成年人的平衡问题.
- 这种方法适用于资源有限的社区卫生中心.
- 早期发现有助于及时提供医疗护理,通过康复改善疾病管理和生活质量.
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