Kumar Ravinder, Bogia Priyanka, Singh Vikram, Reddy T Onima
Department of Physical Education, Banaras Hindu University, Varanasi, India.
Department of Electrical Engineering, Indian Institute of Technology, Jammu, 181221, India.
J Orthop. 2024 Oct 12;62:75-83. doi: 10.1016/j.jor.2024.10.013. eCollection 2025 Apr.
Running is practiced worldwide, but more than 50 % of runners suffer some form of musculoskeletal injury each year. Biomechanics of running is an important aspect of sports medicine and gait analysis is central in the study of running mechanics for prevention of injuries and enhancing performance.
The purpose of this systematic literature review is to Saragiotto et al. (2014 Apr 4) 1 assess the methods employed in conducting gait analysis studies from 2020 to 2024, 2 discuss spatiotemporal characteristics, bilateral asymmetry, and RRI, (Lenhart et al., 2014 Mar) 3 present wearable technology, and (Willson et al., 2014) 4 provide recommendations for future research and application based on the findings.
The study was conducted following the PRISMA guidelines and was registered in the PROSPERO database under the number CRD42024572642. The systematic search of articles was performed in the Scopus database, considering the articles written in English and published in journals between 2004 and 2024, which are focused on the analysis of running gait. Data were collected, pre-processed, and processed according to certain inclusion and exclusion criteria.
Of 2175 articles, only 43 studies were included. The studies were mainly concerned with spatiotemporal features (Patino and Ferreira, 2018) ,16 gait asymmetry and injuries (Crowther et al., 2007 Jun 1) ,9 biomechanics (Mason et al., 2023 Sep 1) ,8 and gait measurement tools (Schubert et al., 2014 May 1) .10 IMUs, accelerometers, and pressure sensors were established as wearable technologies that can be used to monitor gait in the sports setting.
In this review, we discuss the latest developments in wearable technology for gait analysis, which can be considered a viable alternative to laboratory-based methods. However, the need to use standard methods and validation procedures has not lost its importance as it is crucial for the practical application of these technologies.
Registration number CRD42024572642.
跑步在全球范围内都有人参与，但每年超过50%的跑步者会遭受某种形式的肌肉骨骼损伤。跑步生物力学是运动医学的一个重要方面，而步态分析是跑步力学研究中预防损伤和提高成绩的核心内容。
本系统文献综述的目的是：1. 评估2020年至2024年进行步态分析研究时所采用的方法；2. 讨论时空特征、双侧不对称性和相对跑步强度；3. 介绍可穿戴技术；4. 根据研究结果为未来的研究和应用提供建议。
本研究按照PRISMA指南进行，并在PROSPERO数据库中注册，注册号为CRD42024572642。在Scopus数据库中对文章进行系统检索，检索2004年至2024年期间发表在期刊上的英文文章，这些文章聚焦于跑步步态分析。根据一定的纳入和排除标准收集、预处理和处理数据。
在2175篇文章中，仅纳入了43项研究。这些研究主要涉及时空特征、步态不对称性与损伤、生物力学以及步态测量工具。惯性测量单元、加速度计和压力传感器被确立为可用于运动场景中监测步态的可穿戴技术。
在本综述中，我们讨论了用于步态分析的可穿戴技术的最新进展，其可被视为基于实验室方法的可行替代方案。然而，使用标准方法和验证程序的必要性并未降低，因为这对于这些技术的实际应用至关重要。
注册号CRD42024572642。
