《中国康复理论与实践》 ›› 2023, Vol. 29 ›› Issue (6): 654-666.doi: 10.3969/j.issn.1006-9771.2023.06.005

• 专题 运动功能与身体活动评定 • 上一篇    下一篇

基于加速度信号的功能性踝关节不稳者动态姿势稳定性评价方法

黄冬旭1,2, 李依诺1, 李秋捷1, 杨辰3, 万祥林1()   

  1. 1.北京体育大学,北京市 100084
    2.大连大学,辽宁大连市 116622
    3.南京体育学院,江苏南京市 210014
  • 收稿日期:2023-03-15 修回日期:2023-05-22 出版日期:2023-06-25 发布日期:2023-07-14
  • 通讯作者: 万祥林(1988-),男,汉族,江西九江市人,博士,副教授。E-mail: wanxianglin@bsu.edu.cn
  • 作者简介:黄冬旭(1996-),男,汉族,吉林长春市人,硕士,助教,主要研究方向:运动生物力学。
  • 基金资助:
    中央高校基本科研业务费专项基金项目(20212057)

Evaluation method of dynamic postural stability for functional ankle instability based on acceleration signals

HUANG Dongxu1,2, LI Yinuo1, LI Qiujie1, YANG Chen3, WAN Xianglin1()   

  1. 1. Beijing Sport University, Beijing 100084, China
    2. Dalian University, Dalian, Liaoning 116622, China
    3. Nanjing Institute of Physical Education and Sports, Nanjing, Jiangsu 210014, China
  • Received:2023-03-15 Revised:2023-05-22 Published:2023-06-25 Online:2023-07-14
  • Contact: WAN Xianglin, E-mail: wanxianglin@bsu.edu.cn
  • Supported by:
    Basic Scientific Research Funds of the Central Universities(20212057)

摘要:

目的 基于身体不同位置的加速度信号,比较采用不同算法获取的评价功能性踝关节不稳(FAI)者动态姿势稳定性指标的重测信度和鉴别效度。
方法 2021年4月至6月于北京体育大学招募21例单侧FAI患者和21例踝关节正常者。3个惯性传感器粘贴于腰点、膝和踝位置。通过三维测力台和惯性传感器同步采集受试者多方向单腿落地测试中的地面反作用力(GRF)和运动学数据。采用无界三阶多项式(UTOP)拟合法计算稳定时间,通过均方根值计算稳定指数。
结果 基于加速度信号与基于GRF计算的大部分指标相关,但相关系数较低(|r| = 0.116~0.368, P < 0.05)。基于身体不同位置的加速度信号得到的稳定时间和稳定指数表现出低到高的重测信度(CMC 0.30~0.91)。对女性受试者,基于加速度信号的稳定时间中,有11个评价指标达到一般至很高的鉴别效度(AUC = 0.702~0.942, P < 0.05);稳定指数中,有8个指标达到一般水平的鉴别效度(AUC = 0.717~0.782, P < 0.05)。不同算法在男性受试者中未取得良好的鉴别效果。
结论 基于腰点位置的加速度信号并应用UTOP算法计算的稳定时间,能够评价女性FAI患者单腿落地动作的动态姿势稳定性,具有较高的鉴别效度和中等至高的重测信度。

关键词: 功能性踝关节不稳, 惯性传感器, 姿势稳定性, 加速度信号

Abstract:

Objective To compare the retest reliability and discriminant validity of dynamic postural stability indices for functional ankle instability (FAI) obtained by different algorithms based on acceleration signals at different positions of human body.
Methods From April to June, 2021, 21 subjects with unilateral FAI and 21 subjects with normal ankle were recruited. Three inertial sensors were attached to the waist points, knee and ankle positions. The ground reaction force (GRF) and kinematics data of the subjects in multi-direction single leg landing test were collected synchronously by 3D force plate and inertial sensors. The unbounded third order polynomial (UTOP) fitting method was used to calculate the stability time, and the root mean square was used to caculate the stability index.
Results Most of the indicators calculated based on acceleration signal correlated with that based on GRF with low coefficient (|r| = 0.116 to 0.368, P < 0.05). The stability time and stability index based on the acceleration signals of different positions of human body showed low to high retest reliability (CMC 0.30 to 0.91). For the females, among the stability time based on acceleration signal, eleven indexes achieved average to very high discriminant validity (AUC = 0.702 to 0.942, P < 0.05); eight of the stability indexes reached general level of discriminant validity (AUC = 0.717 to 0.782, P < 0.05). No algorithms achieved good discriminant effect in male subjects.
Conclusion Based on the acceleration signal of waist point in single-leg landing stability test, the stability time calculated by UTOP algorithm can evaluate the dynamic postural stability of female FAI patients with high discriminant validity and medium to high retest reliability.

Key words: functional ankle instability, inertial sensor, postural stability, acceleration signal

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