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使用微软Kinect V2测量矢状面脊柱曲率的可靠性和可重复性。

The reliability and reproducibility of sagittal spinal curvature measurement using the Microsoft Kinect V2.

作者信息

Hannink Erin, Shannon Thomas, Barker Karen L, Dawes Helen

机构信息

Centre for Movement, Occupational and Rehabilitation Sciences, Oxford Brookes University, Gipsy Lane, Headington, Oxford, OX3 0BP, UK.

Physiotherapy Research Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LD, UK.

出版信息

J Back Musculoskelet Rehabil. 2020;33(2):295-301. doi: 10.3233/BMR-191554.

DOI:10.3233/BMR-191554
PMID:31356192
Abstract

BACKGROUND

Abnormal sagittal spinal curvature is associated with pain, decreased mobility, respiratory problems and increased mortality. Time-of-flight technology of the Microsoft Kinect sensor can reconstruct a three-dimensional image of the back quickly and inexpensively.

OBJECTIVE

To estimate the extent of the reproducibility of sagittal spine curvature measurement using the Microsoft Kinect sensor.

METHODS

Simultaneous measurement of thoracic and lumbar spine using the Microsoft Kinect sensor in 37 participants. Two investigators gave standardised instructions and each captured 3 images. Thoracic kyphosis and lumbar lordosis angle indexes were calculated using maximum height divided by the length.

RESULTS

Adult participants (mean age in years (SD) = 51.7 (20.6); 57% female; BMI in kg/m2 (SD) = 24.9 (3.3)) kyphosis and lordosis indexes showed high intra-rater and inter-rater ICC values (0.960-0.973). The means of the first images from both raters had significantly larger kyphosis indexes compared to the second and third images, yet no difference between means in lordosis data.

CONCLUSIONS

The results indicate that the Microsoft Kinect sensor has a reproducible method with high intra-rater and inter-rater reliability. The difference between the means over repeated measures suggest the second image capture is more consistent. It is a reproducible and quick method in clinical and research settings.

摘要

背景

脊柱矢状面异常弯曲与疼痛、活动能力下降、呼吸问题及死亡率增加相关。微软Kinect传感器的飞行时间技术能够快速且低成本地重建背部的三维图像。

目的

评估使用微软Kinect传感器测量脊柱矢状面弯曲度的可重复性程度。

方法

37名参与者使用微软Kinect传感器同时测量胸椎和腰椎。两名研究人员给出标准化指导,每人拍摄3张图像。使用最大高度除以长度来计算胸椎后凸和腰椎前凸角度指数。

结果

成年参与者(年龄均值(标准差)=51.7(20.6)岁;57%为女性;体重指数均值(标准差)=24.9(3.3)kg/m²)的后凸和前凸指数显示出较高的评分者内和评分者间组内相关系数值(0.960 - 0.973)。与第二张和第三张图像相比,两名评分者第一张图像的后凸指数均值显著更大,但前凸数据的均值之间没有差异。

结论

结果表明微软Kinect传感器具有可重复的方法,评分者内和评分者间可靠性高。重复测量均值之间的差异表明第二次图像采集更一致。这是一种在临床和研究环境中可重复且快速的方法。

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