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低成本微型惯性传感器模块与光纤陀螺仪在临床平衡和步态评估中的比较。

Comparison of a Low-Cost Miniature Inertial Sensor Module and a Fiber-Optic Gyroscope for Clinical Balance and Gait Assessments.

机构信息

Hocoma AG, Volketswil, Switzerland.

FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences, Muttenz, Switzerland.

出版信息

J Healthc Eng. 2019 Sep 25;2019:9816961. doi: 10.1155/2019/9816961. eCollection 2019.

Abstract

OBJECTIVE

To investigate whether a microelectromechanical system (MEMS) inertial sensor module is as accurate as fiber-optic gyroscopes when classifying subjects as normal for clinical stance and gait balance tasks.

METHODS

Data of ten healthy subjects were recorded simultaneously with a fiber-optic gyroscope (FOG) system of SwayStar™ and a MEMS sensor system incorporated in the Valedo® system. Data from a sequence of clinical balance tasks with different angle and angular velocity ranges were assessed. Paired -tests were performed to determine significant differences between measurement systems. Cohen's kappa test was used to determine the classification of normal balance control between the two sensor systems when comparing the results to a reference database recorded with the FOG system. Potential cross-talk errors in roll and pitch angles when neglecting yaw axis rotations were evaluated by comparing 2D FOG and 3D MEMS recordings.

RESULTS

Statistically significant (=0.05) differences were found in some balance tasks, for example, "walking eight tandem steps" and various angular measures ( < 0.03). However, these differences were within a few percent (<2.7%) of the reference values. Tasks with high dynamic velocity ranges showed significant differences (=0.002) between 2D FOG and 3D MEMS roll angles but no difference between 2D FOG and 2D MEMS roll angles. An almost perfect agreement could be obtained for both 2D FOG and 2D MEMS (=0.97) and 2D FOG and 3D MEMS measures (=0.87) when comparing measurements of all subjects and tasks.

CONCLUSION

MEMS motion sensors can be used for assessing balance during clinical stance and gait tasks. MEMS provides measurements comparable to values obtained with a highly accurate FOG. When assessing pitch and roll trunk sway measures without accounting for the effect of yaw, it is recommended to use angle and angular velocity measures for stance, and only angular velocity measures for gait because roll and pitch velocity measurements are not influenced by yaw rotations, and angle errors are low for stance.

摘要

目的

研究微机电系统(MEMS)惯性传感器模块在对临床姿势和步态平衡任务中的正常受试者进行分类时,其准确性是否与光纤陀螺仪相当。

方法

同时使用 SwayStarTM 光纤陀螺仪(FOG)系统和 Valedo®系统中集成的 MEMS 传感器系统记录十名健康受试者的数据。评估了具有不同角度和角速度范围的一系列临床平衡任务的数据。进行配对检验以确定测量系统之间的显著差异。使用 Cohen's kappa 检验来确定当将结果与使用 FOG 系统记录的参考数据库进行比较时,两个传感器系统之间正常平衡控制的分类。通过比较 2D FOG 和 3D MEMS 记录,评估忽略偏航轴旋转时在横滚和俯仰角中存在的潜在串扰误差。

结果

在某些平衡任务中发现了统计学上显著的(=0.05)差异,例如“走八步”和各种角度测量值(<0.03)。然而,这些差异在参考值的几个百分点(<2.7%)内。具有高动态速度范围的任务在 2D FOG 和 3D MEMS 横滚角度之间显示出显著差异(=0.002),但在 2D FOG 和 2D MEMS 横滚角度之间没有差异。当比较所有受试者和任务的测量值时,可以获得 2D FOG 和 2D MEMS(=0.97)和 2D FOG 和 3D MEMS 测量值(=0.87)之间的几乎完美一致性。

结论

MEMS 运动传感器可用于评估临床姿势和步态任务中的平衡。MEMS 提供的测量值与高精度 FOG 获得的值相当。在不考虑偏航影响评估俯仰和横滚躯干摆动测量值时,建议在姿势中使用角度和角速度测量值,而在步态中仅使用角速度测量值,因为横滚和俯仰速度测量值不受偏航旋转的影响,并且对于姿势角度误差较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/363b/6778920/c63b747705dc/JHE2019-9816961.001.jpg

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