• 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

基于无标记运动捕捉(MMC)系统的上肢运动学评估的有效性和可靠性:一项初步研究。

Validity and Reliability of Upper Limb Kinematic Assessment Using a Markerless Motion Capture (MMC) System: A Pilot Study.

机构信息

Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR.

Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR.

出版信息

Arch Phys Med Rehabil. 2024 Apr;105(4):673-681.e2. doi: 10.1016/j.apmr.2023.10.018. Epub 2023 Nov 21.

DOI:10.1016/j.apmr.2023.10.018
PMID:37981256
Abstract

OBJECTIVE

To investigate the validity and test-retest reliability of a customized markerless motion capture (MMC) system that used iPad Pros with a Light Detection And Ranging scanner at two different viewing angles to measure the active range of motion (AROM) and the angular waveform of the upper-limb-joint angles of healthy adults performing functional tasks.

DESIGN

Participants were asked to perform shoulder and elbow actions for the investigator to take AROM measurements, followed by four tasks that simulated daily functioning. Each participant attended 2 experimental sessions, which were held at least 2 days and at most 14 days apart.

SETTING

A Vicon system and 2 iPad Pros installed with our MMC system were placed at 2 different angles to the participants and recorded their movements concurrently during each task.

PARTICIPANTS

Thirty healthy adults (mean age: 28.9, M/F ratio: 40/60).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The AROM and the angular waveform of the upper-limb-joint angles.

RESULTS

The iPad Pro MMC system underestimated the shoulder joint and elbow joint angles in all four simulated functional tasks. The MMC demonstrated good to excellent test-retest reliability for the shoulder joint AROM measurements in all 4 tasks.

CONCLUSIONS

The maximal AROM measurements calculated by the MMC system had consistently smaller values than those measured by the goniometer. An MMC in iPad Pro system might not be able to replace conventional goniometry for clinical ROM measurements, but it is still suggested for use in home-based and telerehabilitation training for intra-subject measurements because of its good reliability, low cost, and portability. Further development to improve its performance in motion capture and analysis in disease populations is warranted.

摘要

目的

研究一种定制的无标记运动捕捉(MMC)系统的有效性和重测信度,该系统使用带有激光检测和测距扫描仪的 iPad Pro 在两个不同视角下测量健康成年人执行功能任务时上肢关节的主动活动范围(AROM)和角度波形。

设计

要求参与者进行肩部和肘部动作,由研究者进行 AROM 测量,然后进行四项模拟日常功能的任务。每位参与者参加 2 次实验,两次实验之间至少相隔 2 天,最多相隔 14 天。

设置

Vicon 系统和 2 台安装有我们的 MMC 系统的 iPad Pro 以 2 个不同角度放置在参与者旁边,在每个任务期间同时记录他们的运动。

参与者

30 名健康成年人(平均年龄:28.9,男女比例:40/60)。

干预

不适用。

主要观察指标

AROM 和上肢关节角度的角度波形。

结果

在所有四项模拟功能任务中,iPad Pro MMC 系统均低估了肩关节和肘关节角度。在所有 4 项任务中,MMC 对肩关节 AROM 测量均表现出良好到极好的重测信度。

结论

MMC 系统计算出的最大 AROM 测量值始终小于测角器测量的值。因此,在临床 ROM 测量中,MMC 系统可能无法替代传统的测角计,但仍建议将其用于基于家庭和远程康复训练的患者内测量,因为它具有良好的可靠性、低成本和便携性。需要进一步开发以提高其在疾病人群中的运动捕捉和分析性能。

相似文献

1
Validity and Reliability of Upper Limb Kinematic Assessment Using a Markerless Motion Capture (MMC) System: A Pilot Study.基于无标记运动捕捉(MMC)系统的上肢运动学评估的有效性和可靠性:一项初步研究。
Arch Phys Med Rehabil. 2024 Apr;105(4):673-681.e2. doi: 10.1016/j.apmr.2023.10.018. Epub 2023 Nov 21.
2
Characterization of normative angular joint kinematics during two functional upper limb tasks.规范化上肢关节角运动学在两种功能性上肢任务中的特征。
Gait Posture. 2019 Mar;69:176-186. doi: 10.1016/j.gaitpost.2019.01.037. Epub 2019 Jan 28.
3
Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor.使用微软Kinect V2传感器进行上肢功能评估的效度和信度
Appl Bionics Biomech. 2019 Feb 11;2019:7175240. doi: 10.1155/2019/7175240. eCollection 2019.
4
Comparison of Motion Analysis Systems in Tracking Upper Body Movement of Myoelectric Bypass Prosthesis Users.比较用于跟踪肌电旁路假肢使用者上半身运动的运动分析系统。
Sensors (Basel). 2022 Apr 12;22(8):2953. doi: 10.3390/s22082953.
5
Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching.基于 Kinect v2 系统评估坐姿伸展上肢运动学的有效性和可靠性
Sensors (Basel). 2022 Apr 2;22(7):2735. doi: 10.3390/s22072735.
6
Validity and reliability of the single camera marker less motion capture system using RGB-D sensor to measure shoulder range-of-motion: A protocol for systematic review and meta-analysis.基于 RGB-D 传感器的单目无标记运动捕捉系统测量肩关节活动度的有效性和可靠性:系统评价和荟萃分析方案。
Medicine (Baltimore). 2023 Jun 2;102(22):e33893. doi: 10.1097/MD.0000000000033893.
7
Assessing kinematic variability during performance of Jebsen-Taylor Hand Function Test.评估 Jebsen-Taylor 手功能测试中运动学变异性。
J Hand Ther. 2020 Jan-Mar;33(1):34-44. doi: 10.1016/j.jht.2018.10.002. Epub 2019 Mar 8.
8
Inclusion of a skeletal model partly improves the reliability of lower limb joint angles derived from a markerless depth camera.包含骨骼模型部分提高了基于无标记深度相机的下肢关节角度的可靠性。
J Biomech. 2024 Jun;170:112160. doi: 10.1016/j.jbiomech.2024.112160. Epub 2024 May 22.
9
Using markerless motion capture and musculoskeletal models: An evaluation of joint kinematics.基于无标记运动捕捉和肌肉骨骼模型的关节运动学评估。
Technol Health Care. 2024;32(5):3433-3442. doi: 10.3233/THC-240202.
10
Reliability and validity of the Kinect V2 for the assessment of lower extremity rehabilitation exercises.用于评估下肢康复训练的Kinect V2的可靠性和有效性。
Gait Posture. 2019 May;70:330-335. doi: 10.1016/j.gaitpost.2019.03.020. Epub 2019 Mar 26.

引用本文的文献

1
Upper limb kinematic measurement using markerless motion capturing (MMC) in stroke survivors: A cross-sectional experimental study.使用无标记运动捕捉(MMC)对中风幸存者进行上肢运动学测量:一项横断面实验研究。
Digit Health. 2025 Jun 19;11:20552076251342009. doi: 10.1177/20552076251342009. eCollection 2025 Jan-Dec.
2
Multibody kinematics optimization for motion reconstruction of the human upper extremity using potential field method.基于势场法的人体上肢运动重建多体运动学优化
Sci Rep. 2025 Mar 26;15(1):10411. doi: 10.1038/s41598-025-94394-3.
3
The Future of Clinical Active Shoulder Range of Motion Assessment, Best Practice, and Its Challenges: Narrative Review.
临床主动肩关节活动范围评估的未来、最佳实践及其挑战:叙述性综述
Sensors (Basel). 2025 Jan 23;25(3):667. doi: 10.3390/s25030667.
4
Exploring stroke survivors' and physiotherapists' perspectives of the potential for markerless motion capture technology in community rehabilitation.探索脑卒中幸存者和物理治疗师对无标记运动捕捉技术在社区康复中的应用潜力的看法。
J Neuroeng Rehabil. 2024 Sep 20;21(1):168. doi: 10.1186/s12984-024-01467-x.