• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用惯性传感器和增强现实头戴设备验证可穿戴视觉反馈在重新训练足部前进角度中的作用。

Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset.

机构信息

Xsens Technologies B.V, Pantheon 6, Enschede, 7521 PR, The Netherlands.

Department of Biomedical Signals and Systems (BSS), Technical Medical Centre, University of Twente, Enschede, The Netherlands.

出版信息

J Neuroeng Rehabil. 2018 Aug 15;15(1):78. doi: 10.1186/s12984-018-0419-2.

DOI:10.1186/s12984-018-0419-2
PMID:30111337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6094564/
Abstract

BACKGROUND

Gait retraining interventions using real-time biofeedback have been proposed to alter the loading across the knee joint in patients with knee osteoarthritis. Despite the demonstrated benefits of these conservative treatments, their clinical adoption is currently obstructed by the high complexity, spatial demands, and cost of optical motion capture systems. In this study we propose and evaluate a wearable visual feedback system for gait retraining of the foot progression angle (FPA).

METHODS

The primary components of the system are inertial measurement units, which track the human movement without spatial limitations, and an augmented reality headset used to project the visual feedback in the visual field. The adapted gait protocol contained five different target angles ranging from 15 degrees toe-out to 5 degrees toe-in. Eleven healthy participants walked on an instrumented treadmill, and the protocol was performed using both an established laboratory visual feedback driven by optical motion capture, and the proposed wearable system.

RESULTS AND CONCLUSIONS

The wearable system tracked FPA with an accuracy of 2.4 degrees RMS and ICC=0.94 across all target angles and subjects, when compared to an optical motion capture reference. In addition, the effectiveness of the biofeedback, reflected by the number of steps with FPA value ±2 degrees from the target, was found to be around 50% in both wearable and laboratory approaches. These findings demonstrate that retraining of the FPA using wearable inertial sensing and visual feedback is feasible with effectiveness matching closely an established laboratory method. The proposed wearable setup may reduce the complexity of gait retraining applications and facilitate their transfer to routine clinical practice.

摘要

背景

使用实时生物反馈的步态再训练干预措施被提议用于改变膝骨关节炎患者膝关节的负荷。尽管这些保守治疗方法已经被证明具有益处,但由于光学运动捕捉系统的复杂性高、空间要求高和成本高,其临床应用目前受到阻碍。在这项研究中,我们提出并评估了一种用于足进步角(FPA)步态再训练的可穿戴视觉反馈系统。

方法

该系统的主要组件是惯性测量单元,它可以在没有空间限制的情况下跟踪人体运动,以及一个增强现实耳机,用于在视野中投射视觉反馈。适应的步态方案包含五个不同的目标角度,从 15 度外展到 5 度内收。11 名健康参与者在一台仪器化跑步机上行走,该方案分别使用基于光学运动捕捉的既定实验室视觉反馈和提出的可穿戴系统进行。

结果和结论

与光学运动捕捉参考相比,可穿戴系统以 2.4 度 RMS 的精度跟踪 FPA,ICC=0.94,适用于所有目标角度和受试者。此外,生物反馈的有效性,反映在与目标角度相差±2 度的 FPA 值的步数,在可穿戴和实验室方法中都约为 50%。这些发现表明,使用可穿戴惯性传感和视觉反馈进行 FPA 的再训练是可行的,其有效性与既定的实验室方法非常匹配。所提出的可穿戴设置可以降低步态再训练应用的复杂性,并促进它们转移到常规临床实践中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/94dfcb705c8c/12984_2018_419_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/27849937c85e/12984_2018_419_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/5b95ddca9c0b/12984_2018_419_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/fa4bcd81a9ae/12984_2018_419_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/52481ed5168a/12984_2018_419_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/724a80d85b34/12984_2018_419_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/058e39729f6d/12984_2018_419_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/94dfcb705c8c/12984_2018_419_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/27849937c85e/12984_2018_419_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/5b95ddca9c0b/12984_2018_419_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/fa4bcd81a9ae/12984_2018_419_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/52481ed5168a/12984_2018_419_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/724a80d85b34/12984_2018_419_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/058e39729f6d/12984_2018_419_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4daf/6094564/94dfcb705c8c/12984_2018_419_Fig7_HTML.jpg

相似文献

1
Validation of wearable visual feedback for retraining foot progression angle using inertial sensors and an augmented reality headset.使用惯性传感器和增强现实头戴设备验证可穿戴视觉反馈在重新训练足部前进角度中的作用。
J Neuroeng Rehabil. 2018 Aug 15;15(1):78. doi: 10.1186/s12984-018-0419-2.
2
The learning process of gait retraining using real-time feedback in patients with medial knee osteoarthritis.内侧膝关节骨关节炎患者使用实时反馈进行步态再训练的学习过程。
Gait Posture. 2018 May;62:1-6. doi: 10.1016/j.gaitpost.2018.02.023. Epub 2018 Feb 23.
3
Wearable lower limb haptic feedback device for retraining Foot Progression Angle and Step Width.用于重新训练步幅角和步宽的可穿戴下肢触觉反馈装置。
Gait Posture. 2017 Jun;55:177-183. doi: 10.1016/j.gaitpost.2017.04.028. Epub 2017 Apr 24.
4
Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention.量化自我与人体运动:关于可穿戴传感及反馈对步态分析与干预的临床影响的综述
Gait Posture. 2014;40(1):11-9. doi: 10.1016/j.gaitpost.2014.03.189. Epub 2014 Apr 6.
5
Portable, automated foot progression angle gait modification via a proof-of-concept haptic feedback-sensorized shoe.通过一款概念验证型触觉反馈感应鞋实现便携式自动足进角步态修正。
J Biomech. 2020 Jun 23;107:109789. doi: 10.1016/j.jbiomech.2020.109789. Epub 2020 Apr 13.
6
Altering foot progression angle in people with medial knee osteoarthritis: the effects of varying toe-in and toe-out angles are mediated by pain and malalignment.改变内侧膝关节骨关节炎患者的足前进角度:内翻和外翻角度的变化对疼痛和对线不良有影响。
Osteoarthritis Cartilage. 2013 Sep;21(9):1272-80. doi: 10.1016/j.joca.2013.06.001.
7
Subject-specific toe-in or toe-out gait modifications reduce the larger knee adduction moment peak more than a non-personalized approach.特定于个体的内八字或外八字步态调整比非个性化方法更能有效降低较大的膝关节内收力矩峰值。
J Biomech. 2018 Jan 3;66:103-110. doi: 10.1016/j.jbiomech.2017.11.003. Epub 2017 Nov 8.
8
Validation of a smart shoe for estimating foot progression angle during walking gait.一种用于估计步行步态中足前进角度的智能鞋的验证
J Biomech. 2017 Aug 16;61:193-198. doi: 10.1016/j.jbiomech.2017.07.012. Epub 2017 Jul 25.
9
Feasibility of Wearable Haptic Biofeedback Training for Reducing the Knee Abduction Moment During Overground Walking.可穿戴触觉生物反馈训练在降低地面行走时膝关节外展力矩中的可行性。
J Biomech Eng. 2021 Apr 1;143(4). doi: 10.1115/1.4048082.
10
Comparison of mirror, raw video, and real-time visual biofeedback for training toe-out gait in individuals with knee osteoarthritis.膝关节骨关节炎患者使用镜子、原始视频和实时视觉生物反馈训练外八字步态的比较。
Arch Phys Med Rehabil. 2014 Oct;95(10):1912-7. doi: 10.1016/j.apmr.2014.05.016. Epub 2014 Jun 6.

引用本文的文献

1
The impact of PCA derived gait kinematic variations on estimated medial knee contact forces in a knee osteoarthritis population.主成分分析(PCA)得出的步态运动学变化对膝骨关节炎人群内侧膝关节接触力估计值的影响。
Sci Rep. 2025 May 26;15(1):18342. doi: 10.1038/s41598-025-90804-8.
2
Emerging Applications of Augmented and Mixed Reality Technologies in Motor Rehabilitation: A Scoping Review.增强现实和混合现实技术在运动康复中的新兴应用:一项范围综述
Sensors (Basel). 2025 Mar 25;25(7):2042. doi: 10.3390/s25072042.
3
Two decades of breakthroughs: charting the future of NeuroEngineering and Rehabilitation.

本文引用的文献

1
The learning process of gait retraining using real-time feedback in patients with medial knee osteoarthritis.内侧膝关节骨关节炎患者使用实时反馈进行步态再训练的学习过程。
Gait Posture. 2018 May;62:1-6. doi: 10.1016/j.gaitpost.2018.02.023. Epub 2018 Feb 23.
2
Subject-specific toe-in or toe-out gait modifications reduce the larger knee adduction moment peak more than a non-personalized approach.特定于个体的内八字或外八字步态调整比非个性化方法更能有效降低较大的膝关节内收力矩峰值。
J Biomech. 2018 Jan 3;66:103-110. doi: 10.1016/j.jbiomech.2017.11.003. Epub 2017 Nov 8.
3
Configurable, wearable sensing and vibrotactile feedback system for real-time postural balance and gait training: proof-of-concept.
二十年的突破:描绘神经工程与康复的未来
J Neuroeng Rehabil. 2025 Mar 13;22(1):59. doi: 10.1186/s12984-025-01580-5.
4
Ortho-digital dynamics: Exploration of advancing digital health technologies in musculoskeletal disease management.矫形数字动力学:肌肉骨骼疾病管理中数字健康技术进展探索
Digit Health. 2024 Aug 14;10:20552076241269613. doi: 10.1177/20552076241269613. eCollection 2024 Jan-Dec.
5
Magnetic resonance imaging based neurosurgical planning on hololens 2: A feasibility study in a paediatric hospital.基于磁共振成像的Hololens 2神经外科手术规划:在一家儿童医院的可行性研究
Digit Health. 2023 Nov 16;9:20552076231214066. doi: 10.1177/20552076231214066. eCollection 2023 Jan-Dec.
6
Utility and Usability of Two Forms of Supplemental Vibrotactile Kinesthetic Feedback for Enhancing Movement Accuracy and Efficiency in Goal-Directed Reaching.补充振动触觉动觉反馈两种形式在提高目标导向伸手准确性和效率方面的实用性和可用性。
Sensors (Basel). 2023 Jun 9;23(12):5455. doi: 10.3390/s23125455.
7
The use of technology to support lifestyle interventions in knee osteoarthritis: A scoping review.利用技术支持膝关节骨关节炎的生活方式干预:一项范围综述。
Osteoarthr Cartil Open. 2023 Feb 9;5(2):100344. doi: 10.1016/j.ocarto.2023.100344. eCollection 2023 Jun.
8
Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke.穿戴式传感系统及在线步态分析报告在脑卒中患者中的信度和效度。
Sensors (Basel). 2023 Jan 5;23(2):624. doi: 10.3390/s23020624.
9
Three-Dimensional Lower-Limb Kinematics from Accelerometers and Gyroscopes with Simple and Minimal Functional Calibration Tasks: Validation on Asymptomatic Participants.基于简单且最小功能校准任务的加速度计和陀螺仪的三维下肢运动学:无症状参与者的验证。
Sensors (Basel). 2022 Jul 28;22(15):5657. doi: 10.3390/s22155657.
10
Inertial Measurement Units and Application for Remote Health Care in Hip and Knee Osteoarthritis: Narrative Review.惯性测量单元及其在髋膝关节骨关节炎远程医疗保健中的应用:叙述性综述
JMIR Rehabil Assist Technol. 2022 Jun 2;9(2):e33521. doi: 10.2196/33521.
可配置、可穿戴的传感和振动触觉反馈系统,用于实时姿势平衡和步态训练:概念验证。
J Neuroeng Rehabil. 2017 Oct 11;14(1):102. doi: 10.1186/s12984-017-0313-3.
4
Effect of real-time biofeedback on peak knee adduction moment in patients with medial knee osteoarthritis: Is direct feedback effective?实时生物反馈对膝内侧骨关节炎患者膝关节内收力矩峰值的影响:直接反馈是否有效?
Clin Biomech (Bristol). 2018 Aug;57:150-158. doi: 10.1016/j.clinbiomech.2017.07.004. Epub 2017 Jul 13.
5
Validation of a smart shoe for estimating foot progression angle during walking gait.一种用于估计步行步态中足前进角度的智能鞋的验证
J Biomech. 2017 Aug 16;61:193-198. doi: 10.1016/j.jbiomech.2017.07.012. Epub 2017 Jul 25.
6
Wearable lower limb haptic feedback device for retraining Foot Progression Angle and Step Width.用于重新训练步幅角和步宽的可穿戴下肢触觉反馈装置。
Gait Posture. 2017 Jun;55:177-183. doi: 10.1016/j.gaitpost.2017.04.028. Epub 2017 Apr 24.
7
Biofeedback for Gait Retraining Based on Real-Time Estimation of Tibiofemoral Joint Contact Forces.基于实时估计胫股关节接触力的步态再训练生物反馈。
IEEE Trans Neural Syst Rehabil Eng. 2017 Sep;25(9):1612-1621. doi: 10.1109/TNSRE.2017.2683488. Epub 2017 Apr 18.
8
Reliability of four models for clinical gait analysis.四种临床步态分析模型的可靠性
Gait Posture. 2017 May;54:325-331. doi: 10.1016/j.gaitpost.2017.04.001. Epub 2017 Apr 3.
9
Gait Retraining With Real-Time Biofeedback to Reduce Knee Adduction Moment: Systematic Review of Effects and Methods Used.采用实时生物反馈进行步态再训练以减少膝关节内收力矩:对所用效果和方法的系统评价
Arch Phys Med Rehabil. 2017 Jan;98(1):137-150. doi: 10.1016/j.apmr.2016.07.006. Epub 2016 Jul 30.
10
Novel Foot Progression Angle Algorithm Estimation via Foot-Worn, Magneto-Inertial Sensing.通过足部穿戴式磁惯性传感技术进行新型步幅角算法估计
IEEE Trans Biomed Eng. 2016 Nov;63(11):2278-2285. doi: 10.1109/TBME.2016.2523512. Epub 2016 Jan 29.