皮革科学与工程 ›› 2023, Vol. 33 ›› Issue (6): 52-58.doi: 10.19677/j.issn.1004-7964.2023.06.008

• 综述 • 上一篇    下一篇

可穿戴惯性传感器在全膝关节置换术后步态分析中的应用进展

冯雨果1,*, 刘宇2, 周晋3   

  1. 1.西华大学美术与设计学院,四川 成都 610039;
    2.重庆布瑞斯科技有限公司,重庆 401120;
    3.四川大学轻工科学与工程学院,四川 成都 610065
  • 收稿日期:2023-02-27 出版日期:2023-12-01 上线日期:2023-11-14
  • 通讯作者: *
  • 作者简介:冯雨果(1985-),男,博士,副教授。主要从事轻工产品设计、数字化设计以及足部生物力学的研究。E-mail:fengyuguoxyz@163.com。
  • 基金资助:
    四川省教育厅人文社会科学重点研究基地“工业设计产业研究中心”(GY-16YB-08)

A Review of Gait Analysis after Total Knee Arthroplasty using Wearable Inertial Measurement Sensors

FENG Yuguo1,*, LIU Yu2, ZHOU Jin3   

  1. 1. College of Art and design, Xihua University, Chengdu 610039, China;
    2. Chongqing Brice Technology Co., Ltd, Chongqing 401120;
    3. College of Biomass Science and Engineering, Sichuan University, Chengdu 610065, China
  • Received:2023-02-27 Online:2023-12-01 Published:2023-11-14

摘要: 文章综述了可穿戴惯性传感器(WIMU)在全膝关节置换术(TKA)术后成人步态分析方面的应用。检索PubMed、EMBASE、MEDLINE、Web of Science Core Collection、中国知网、万方和维普七个数据库在2014年至2023年间的数据,检索词主要突出“可穿戴惯性传感器”、“全膝关节置换术”和“步态分析”领域。两位作者独立进行了文献初筛、复筛、质量评估以及全文数据提取,任何不一致的地方都以协商方式解决。共纳入16篇文章,文献质量得分普遍不高,患者数量、传感器方案和实验方案在文献中差异较大,而步态参数的研究主要集中在短期纵向的运动学参数评估,对于基于WIMU的步态参数如何随疾病进展而变化的深入描述相对不足。尽管目前的研究尚存在很多问题,使用WIMU远程采集TKA术后患者自由生活中的步态在未来仍具有一定潜力。

关键词: 惯性传感器, 可穿戴技术, 全膝关节置换术, 步态分析, 系统综述

Abstract: This scoping review assessed the current applications of wearable inertial measurement units (WIMU) for the evaluation of gait after total knee arthroplasty (TKA). Seven databases, including PubMed, EMBASE, MEDLINE, Web of Science Core Collection, CNKI, Wanfang Data and VIP, were searched for articles published between 2014 and 2023, using keywords related to “wearable inertial sensors”, “total knee arthroplasty”, and “gait analysis”. Two authors independently conducted the title and abstract reviews, completing full-text screenings, quality evaluations, and full-text data extractions, and any inconsistencies were resolved through negotiation. A total of 16 articles were ultimately included, and the literature quality score was generally low. There was considerable variation among these studies regarding the number of patients, sensor schemes and experimental schemes. The research mainly focused on the short-term longitudinal kinematics parameter evaluation, and lack in-depth investigations of the rules of gait parameters based on WIMU evolving in response to disease progression. Despite challenges in current research, the use of WIMU for remote gait data collection in the daily lives of TKA patients still holds great promise in the future.

Key words: inertial sensors, wearable technology, total knee arthroplasty, gait analysis, systematic review

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