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迈向准确的临床痉挛评估:使用智能手机和相机跟踪技术验证运动速度和关节角度评估。

Toward Accurate Clinical Spasticity Assessment: Validation of Movement Speed and Joint Angle Assessments Using Smartphones and Camera Tracking.

机构信息

Department of Physiotherapy, Epworth HealthCare, Melbourne, Australia; School of Health and Sport Sciences, University of the Sunshine Coast, Queensland, Australia.

School of Health and Sport Sciences, University of the Sunshine Coast, Queensland, Australia.

出版信息

Arch Phys Med Rehabil. 2019 Aug;100(8):1482-1491. doi: 10.1016/j.apmr.2018.11.026. Epub 2019 Jan 24.

Abstract

OBJECTIVE

To investigate whether a three-dimensional (3-D) camera (Microsoft Kinect) and a smartphone can be used to accurately quantify the joint angular velocity and range of motion (ROM) compared to a criterion-standard 3-D motion analysis system during a lower limb spasticity assessment.

DESIGN

Observational, criterion-standard comparison study.

SETTING

Large rehabilitation center.

PARTICIPANTS

A convenience sample of 35 controls, 35 patients with a neurologic condition, and 34 rehabilitation professionals (physiotherapists and rehabilitation doctors) participated (N=104).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The Modified Tardieu Scale was used to assess spasticity of the quadriceps, hamstrings, soleus, and gastrocnemius. Data for each trial were collected concurrently using the criterion-standard Optitrack 3-D motion analysis (3DMA) system, Microsoft Kinect, and a smartphone. Each healthy control participant was assessed by 1 health professional and each patient with a neurological condition was assessed by 3 health professionals. Spearman correlation coefficient and intraclass correlation coefficient with 95% confidence intervals were used to report the strength of the relationships investigated.

RESULTS

The smartphone and Microsoft Kinect demonstrated excellent concurrent validity with the 3DMA system. Overall, 74.8% of the relationships investigated demonstrated a very strong (≥0.80) correlation across all of the testing parameters. The Microsoft Kinect was superior to the smartphone for measuring joint start and end angle, the smartphone was superior for measuring joint angular velocity, and the 2 systems were comparable for measuring total joint ROM.

CONCLUSIONS

These findings provide preliminary evidence that user-friendly, low-cost technologies can be used to facilitate accurate measurements of joint angular velocity and angles during a lower limb spasticity assessment in a clinical setting.

摘要

目的

研究在下肢痉挛评估中,与三维运动分析系统(3DMA)标准相比,三维(3-D)相机(微软 Kinect)和智能手机是否可以准确测量关节角速度和运动范围(ROM)。

设计

观察性、标准比较研究。

地点

大型康复中心。

参与者

35 名对照组、35 名神经疾病患者和 34 名康复专业人员(物理治疗师和康复医生)参加了(N=104)。

干预措施

不适用。

主要观察指标

改良 Tardieu 量表用于评估股四头肌、腘绳肌、比目鱼肌和腓肠肌的痉挛。使用标准的 Optitrack 3-D 运动分析(3DMA)系统、微软 Kinect 和智能手机同时采集每个试验的数据。每个健康对照组由 1 名健康专业人员评估,每个神经疾病患者由 3 名健康专业人员评估。使用 Spearman 相关系数和 95%置信区间的组内相关系数来报告所研究关系的强度。

结果

智能手机和微软 Kinect 与 3DMA 系统具有良好的同时有效性。总体而言,74.8%的研究关系在所有测试参数上都表现出非常强的相关性(≥0.80)。微软 Kinect 在测量关节起始和结束角度方面优于智能手机,智能手机在测量关节角速度方面更优,而这两个系统在测量关节总 ROM 方面相当。

结论

这些发现初步证明了用户友好、低成本的技术可用于在临床环境中准确测量下肢痉挛评估中的关节角速度和角度。

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