使用基于 RGB-D 摄像机的无标记三维运动跟踪方法测量儿童和青少年运动参数的并发有效性

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Nikolas Hesse;Sandra Baumgartner;Anja Gut;Hubertus J. A. Van Hedel
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引用次数: 0

摘要

目标:低成本的便携式 RGB-D 摄像机集成了运动跟踪功能,无需昂贵的设施和专业人员,即可进行简单易用的三维运动分析。然而,现有系统的精确度不足以满足大多数临床应用的需要,尤其是在应用于儿童时。在之前的工作中,我们开发了一种基于 RGB-D 摄像机的运动跟踪方法,并证明它能准确捕捉儿童和青少年的三维身体关节位置。在本研究中,我们将在儿童和青少年中评估根据运动追踪方法的运动学计算得出的临床相关运动参数的有效性和准确性。研究方法23 名发育正常的儿童和健康的年轻人(5-29 岁,110-189 厘米)在使用基于标记的 Vicon 系统和 Azure Kinect RGB-D 摄像头同时记录的情况下完成了五项运动任务。根据两种方法提取的运动学数据计算出运动参数:时间序列测量(即随时间变化的测量)、峰值测量(即单个时间瞬间的测量)和运动平滑度。对于时间序列数据,使用皮尔逊相关系数 r 评估这些参数值的一致性;对于峰值测量和平滑度,使用平均绝对误差(MAE)和布兰-阿尔特曼图(Bland-Altman plots)评估一致性极限。结果时间序列测量结果显示出很强到极佳的相关性(r 值在 0.8 到 1.0 之间),角度的平均绝对误差在 1.5 到 5 度之间,平滑度参数 (SPARC) 的平均绝对误差在 0.02 到 0.09 之间,而距离相关参数的平均绝对误差在 9 到 15 毫米之间。结论提取的运动参数对于儿童和青少年的各种运动任务都是有效和准确的,这证明了我们的追踪方法适用于临床运动分析。临床影响:低成本的便携式硬件与我们的追踪方法相结合,能够在专业设施之外进行运动分析,同时提供接近临床黄金标准的测量结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concurrent Validity of Motion Parameters Measured With an RGB-D Camera-Based Markerless 3D Motion Tracking Method in Children and Young Adults
Objective: Low-cost, portable RGB-D cameras with integrated motion tracking functionality enable easy-to-use 3D motion analysis without requiring expensive facilities and specialized personnel. However, the accuracy of existing systems is insufficient for most clinical applications, particularly when applied to children. In previous work, we developed an RGB-D camera-based motion tracking method and showed that it accurately captures body joint positions of children and young adults in 3D. In this study, the validity and accuracy of clinically relevant motion parameters that were computed from kinematics of our motion tracking method are evaluated in children and young adults. Methods: Twenty-three typically developing children and healthy young adults (5-29 years, 110–189 cm) performed five movement tasks while being recorded simultaneously with a marker-based Vicon system and an Azure Kinect RGB-D camera. Motion parameters were computed from the extracted kinematics of both methods: time series measurements, i.e., measurements over time, peak measurements, i.e., measurements at a single time instant, and movement smoothness. The agreement of these parameter values was evaluated using Pearson’s correlation coefficients r for time series data, and mean absolute error (MAE) and Bland-Altman plots with limits of agreement for peak measurements and smoothness. Results: Time series measurements showed strong to excellent correlations (r-values between 0.8 and 1.0), MAE for angles ranged from 1.5 to 5 degrees and for smoothness parameters (SPARC) from 0.02-0.09, while MAE for distance-related parameters ranged from 9 to 15 mm. Conclusion: Extracted motion parameters are valid and accurate for various movement tasks in children and young adults, demonstrating the suitability of our tracking method for clinical motion analysis. Clinical Impact: The low-cost portable hardware in combination with our tracking method enables motion analysis outside of specialized facilities while providing measurements that are close to those of the clinical gold-standard.
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来源期刊
CiteScore
7.40
自引率
2.90%
发文量
65
审稿时长
27 weeks
期刊介绍: The IEEE Journal of Translational Engineering in Health and Medicine is an open access product that bridges the engineering and clinical worlds, focusing on detailed descriptions of advanced technical solutions to a clinical need along with clinical results and healthcare relevance. The journal provides a platform for state-of-the-art technology directions in the interdisciplinary field of biomedical engineering, embracing engineering, life sciences and medicine. A unique aspect of the journal is its ability to foster a collaboration between physicians and engineers for presenting broad and compelling real world technological and engineering solutions that can be implemented in the interest of improving quality of patient care and treatment outcomes, thereby reducing costs and improving efficiency. The journal provides an active forum for clinical research and relevant state-of the-art technology for members of all the IEEE societies that have an interest in biomedical engineering as well as reaching out directly to physicians and the medical community through the American Medical Association (AMA) and other clinical societies. The scope of the journal includes, but is not limited, to topics on: Medical devices, healthcare delivery systems, global healthcare initiatives, and ICT based services; Technological relevance to healthcare cost reduction; Technology affecting healthcare management, decision-making, and policy; Advanced technical work that is applied to solving specific clinical needs.
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