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基于惯性测量单元评估步态的肌少症筛查:系统评价。

Sarcopenia screening based on the assessment of gait with inertial measurement units: a systematic review.

机构信息

Podoactiva Research & Development Department, Biomechanical Unit, Parque Tecnológico Walqa Ctra. N330a Km 566, Cuarte, Huesca, Spain.

Facultad de Ciencias de la Salud, Universidad San Jorge, Villanueva de Gállego, Zaragoza, 50830, Spain.

出版信息

BMC Geriatr. 2024 Oct 23;24(1):863. doi: 10.1186/s12877-024-05475-3.

Abstract

BACKGROUND

Gait variables assessed by inertial measurement units (IMUs) show promise as screening tools for aging-related diseases like sarcopenia. The main aims of this systematic review were to analyze and synthesize the scientific evidence for screening sarcopenia based on gait variables assessed by IMUs, and also to review articles that investigated which gait variables assessed by IMUs were related to sarcopenia.

METHODS

Six electronic databases (PubMed, SportDiscus, Web of Science, Cochrane Library, Scopus and IEEE Xplore) were searched for journal articles related to gait, IMUs and sarcopenia. The search was conducted until December 5, 2023. Titles, abstracts and full-length texts for studies were screened to be included.

RESULTS

A total of seven articles were finally included in this review. Despite some methodological variability among the included studies, IMUs demonstrated potential as effective tools for detecting sarcopenia when coupled with artificial intelligence (AI) models, which outperformed traditional statistical methods in classification accuracy. The findings suggest that gait variables related to the stance phase such as stance duration, double support time, and variations between feet, are key indicators of sarcopenia.

CONCLUSIONS

IMUs could be useful tools for sarcopenia screening based on gait analysis, specifically when artificial intelligence is used to process the recorded data. However, more development and research in this field is needed to provide an effective screening tool for doctors and health systems.

摘要

背景

惯性测量单元(IMU)评估的步态变量有望成为肌少症等与衰老相关疾病的筛查工具。本系统评价的主要目的是分析和综合基于 IMU 评估的步态变量筛查肌少症的科学证据,并回顾研究 IMU 评估的哪些步态变量与肌少症相关的文章。

方法

检索了 6 个电子数据库(PubMed、SportDiscus、Web of Science、Cochrane Library、Scopus 和 IEEE Xplore),以获取与步态、IMU 和肌少症相关的期刊文章。搜索截至 2023 年 12 月 5 日。筛选研究的标题、摘要和全文以确定是否包含。

结果

最终共有 7 篇文章纳入本综述。尽管纳入的研究存在一些方法学差异,但 IMU 与人工智能 (AI) 模型结合使用时显示出作为检测肌少症的有效工具的潜力,在分类准确性方面优于传统统计方法。研究结果表明,与站立阶段相关的步态变量,如站立持续时间、双支撑时间和双脚之间的变化,是肌少症的关键指标。

结论

基于步态分析,IMU 可能是肌少症筛查的有用工具,特别是在使用人工智能处理记录数据时。然而,需要在该领域进行更多的开发和研究,为医生和医疗系统提供有效的筛查工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c486/11515692/44857e0f3d80/12877_2024_5475_Fig1_HTML.jpg

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