动态关节运动诱导的软骨产生的生物电潜力;一项探索性研究.
Jae-Hyun Lee1,2, Ye-Seul Jang3, Won-Du Chang4
1Department of Artificial Intelligence Convergence, Pukyong National University, Yongso-ro, 45, Nam-Gu, Busan, 48513, Republic of Korea.
BMC musculoskeletal disorders
|July 9, 2025
概括
电关节学在动态活动期间非侵入性地测量膝关节软骨负荷. 这种技术成功地区分了主动和被动的运动,为个性化康复和风险评估铺平了道路.
科学领域:
- 生物医学工程 生物医学工程
- 整形外科 整形外科 整形外科
- 信号处理 信号处理
背景情况:
- 评估膝关节负荷对于预防软骨损伤至关重要,但实时临床监测面临技术障碍.
- 电关节学 (EAG) 是一种新的非侵入性方法,使用表面电极来检测软骨中的负载产生的潜能.
- 现有的EAG研究主要研究静态负载,限制其在动态场景中的应用.
研究的目的:
- 探索电关节摄影的可行性,以测量在动态膝盖负荷过程中软骨产生的潜力.
- 评估深度神经网络根据EAG信号对不同动态活动进行分类的能力.
主要方法:
- 八个表面电极记录了20个膝盖的电信号,这些膝盖在主动伸展,被动运动范围和坐过程中都会产生电信号.
- 信号被处理成潜在时间图,并使用深度神经网络进行分析.
- 运动状态根据记录的电位被分解和分类.
主要成果:
- 与被动延伸 (0.87 mV; p < 0.05) 相比,在活跃膝盖延伸 (1.62 mV) 期间,软骨产生的潜力显著更高.
- 深度神经网络实现了98.77%的高分类准确度,用于区分运动状态.
- 该研究表明,在动态活动中成功测量和分类了软骨潜力.
结论:
- 电关节学可以有效地测量和分类在动态的身体活动期间的软骨产生的潜力.
- 这种非侵入性方法提供了有关负载差异的见解,支持康复中的应用.
- 这些发现为确定运动强度,评估日常活动风险和分类体育活动奠定了基础.
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