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使用可穿戴传感器在功能活动中测量的加速度和方向的有效性和可靠性。

Validity and reliability of accelerations and orientations measured using wearable sensors during functional activities.

机构信息

School of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, CF14 4EP, UK.

出版信息

Sci Rep. 2022 Aug 26;12(1):14619. doi: 10.1038/s41598-022-18845-x.

DOI:10.1038/s41598-022-18845-x
PMID:36028523
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9417076/
Abstract

Wearable sensors may enable the assessment of movement in a real-world setting, but they are not yet a standard practice in the analysis of movement due to the unknown accuracy and reliability with respect to different functional activities. Here, we established the concurrent validity and test-retest reliability of accelerations and orientations measured using affordable novel sensors during squats, jumps, walking and stair ambulation. In this observational study, participants underwent three data collection sessions during one day. Accelerations and orientations from sacrum, thigh and shank were collected using these sensors and already validated gold-standard sensors as the criterion method. We assessed validity by comparing the similarity of signal waveforms with the Linear Fit Method and by comparing mean differences in range values with the Bland-Altman plots. Reliability was assessed by calculating interclass correlation coefficient and standard error of measurements of the range values. Concurrent validity was from fair to excellent in 91% of the cases for accelerations and in 84.4% for orientations. Test-retest reliability of accelerations was from fair to excellent in 97% of cases when the sensors were attached by a researcher, and in 84.4% of cases when the sensors were attached by participants. Test-retest reliability of orientations was from fair to excellent in 88.9% of cases when the sensors were attached by a researcher, and in 68.9% of cases when the sensors were attached by participants. In conclusion, the new affordable sensors provide accurate measures of accelerations and orientations during multiple functional activities in healthy adults. Reliability of the orientations may depend on the ability to replicate the same position of the sensor under test-retest conditions.

摘要

可穿戴传感器可以实现在真实环境下对运动的评估,但由于其在不同功能活动下的准确性和可靠性未知,它们尚未成为运动分析的标准实践。在这里,我们确定了在深蹲、跳跃、行走和上下楼梯时使用经济实惠的新型传感器测量的加速度和方向的同时效度和重测信度。在这项观察性研究中,参与者在一天内进行了三次数据采集。使用这些传感器和已经验证的黄金标准传感器作为标准方法,从骶骨、大腿和小腿收集加速度和方向。我们通过比较线性拟合方法的信号波形相似性以及比较范围值的平均差异的 Bland-Altman 图来评估有效性。通过计算范围值的组内相关系数和测量标准误差来评估可靠性。在 91%的情况下,加速度的同时效度为良到优,在 84.4%的情况下,方向的同时效度为良到优。当传感器由研究人员附着时,加速度的重测信度在 97%的情况下为良到优,当传感器由参与者附着时,加速度的重测信度在 84.4%的情况下为良到优。当传感器由研究人员附着时,方向的重测信度在 88.9%的情况下为良到优,当传感器由参与者附着时,方向的重测信度在 68.9%的情况下为良到优。总之,新的经济实惠的传感器可在健康成年人进行多项功能活动时提供准确的加速度和方向测量。方向的可靠性可能取决于在重测条件下复制传感器相同位置的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/81e6e39d25b1/41598_2022_18845_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/12075df8ace9/41598_2022_18845_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/81e6e39d25b1/41598_2022_18845_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/25b5661ddfa7/41598_2022_18845_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/0efded111572/41598_2022_18845_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/360ab9b2634e/41598_2022_18845_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/efa480b65f7b/41598_2022_18845_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/97010e902288/41598_2022_18845_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/69c1918efe85/41598_2022_18845_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/12075df8ace9/41598_2022_18845_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/9e45154eda31/41598_2022_18845_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4956/9418264/81e6e39d25b1/41598_2022_18845_Fig9_HTML.jpg

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本文引用的文献

1
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Sensors (Basel). 2022 Jan 7;22(2):446. doi: 10.3390/s22020446.
2
Applications of Wearable Technology in a Real-Life Setting in People with Knee Osteoarthritis: A Systematic Scoping Review.可穿戴技术在膝骨关节炎患者现实生活环境中的应用:一项系统综述。
J Clin Med. 2021 Nov 30;10(23):5645. doi: 10.3390/jcm10235645.
3
A Nonproprietary Movement Analysis System (MoJoXlab) Based on Wearable Inertial Measurement Units Applicable to Healthy Participants and Those With Anterior Cruciate Ligament Reconstruction Across a Range of Complex Tasks: Validation Study.
一项针对前交叉韧带重建术后个体的新型机械敏感应力测试:一项初步研究。
Osteoarthr Cartil Open. 2025 May 9;7(3):100619. doi: 10.1016/j.ocarto.2025.100619. eCollection 2025 Sep.
4
In-Clinic and Natural Gait Observations master protocol (I-CAN-GO) to validate gait using a lumbar accelerometer.基于腰部加速度计验证步态的临床与自然步态观察主方案(I-CAN-GO)
Sci Rep. 2024 Aug 29;14(1):20128. doi: 10.1038/s41598-024-67675-6.
5
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Sci Data. 2024 Aug 14;11(1):880. doi: 10.1038/s41597-024-03683-5.
6
Biological sex-related differences in whole-body coordination during standing turns in healthy young adults.健康年轻成年人站立转身时全身协调性的生物学性别相关差异。
Sci Rep. 2023 Dec 13;13(1):22112. doi: 10.1038/s41598-023-49201-2.
7
Wireless pressure insoles for measuring ground reaction forces and trajectories of the centre of pressure during functional activities.用于测量功能活动中地面反作用力和压力中心轨迹的无线压力鞋垫。
Sci Rep. 2023 Sep 11;13(1):14946. doi: 10.1038/s41598-023-41622-3.
8
The Decline of Physical Activity with Age in School-Aged Children with Cerebral Palsy: A Single-Center Cross-Sectional Observational Study.脑瘫学龄儿童身体活动随年龄下降情况:一项单中心横断面观察性研究
J Clin Med. 2023 Jul 7;12(13):4548. doi: 10.3390/jcm12134548.
9
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10
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4
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J Neuroeng Rehabil. 2020 May 11;17(1):62. doi: 10.1186/s12984-020-00685-3.
5
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Sensors (Basel). 2020 Jan 28;20(3):715. doi: 10.3390/s20030715.
6
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Front Physiol. 2018 Mar 22;9:218. doi: 10.3389/fphys.2018.00218. eCollection 2018.
7
Inertial Measurement Units for Clinical Movement Analysis: Reliability and Concurrent Validity.临床运动分析中的惯性测量单元:可靠性和同时效度。
Sensors (Basel). 2018 Feb 28;18(3):719. doi: 10.3390/s18030719.
8
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Med Biol Eng Comput. 2017 Apr;55(4):609-619. doi: 10.1007/s11517-016-1537-2. Epub 2016 Jul 5.
9
Repeatability of knee impulsive loading measurements with skin-mounted accelerometers and lower limb surface electromyographic recordings during gait in knee osteoarthritic and asymptomatic individuals.在膝骨关节炎患者和无症状个体的步态过程中,使用皮肤表面加速度计和下肢表面肌电图记录进行膝关节冲击负荷测量的可重复性。
J Musculoskelet Neuronal Interact. 2016 Mar;16(1):63-74.
10
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