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首页> 外文期刊>IBRO Reports >Quantifying turning behavior and gait in Parkinson’s disease using mobile technology
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Quantifying turning behavior and gait in Parkinson’s disease using mobile technology

机译：使用移动技术量化帕金森氏病的转弯行为和步态

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Gait and balance impairments associated with Parkinson’s disease (PD) are often refractory to traditional treatments. Objective, quantitative analysis of gait patterns is crucial in successful management of these symptoms. This project aimed to 1) determine if biomechanical metrics from a mobile device inertial measurement unit were sensitive enough to characterize the effects of anti-parkinsonian medication during the Timed Up and Go (TUG) Test, and 2) develop the Cleveland Clinic Mobility and Balance application (CC-MB) to provide clinicians with objective report following completion of the TUG. The CC-MB captured 3-dimensional acceleration and rotational data from people with PD (pwPD) to characterize center of mass movement while performing the TUG. Trials were segmented into four components: Sit-to-Walk, Gait, Turning, and Stand-to-Sit. Thirty pwPD were tested On and Off (12h) anti-PD medication. Significant improvements (p<0.05) between On versus Off conditions included: reduction in MDS-UPDRS III motor scores (10.7%), faster trial times (9.3%), more dynamic walking as evident by increased normalized jerk scores (vertical: 17.3%, medial-lateral: 12.3%), shorter turn durations (10.4%), and faster turn velocities (8%). Measures in Sit-to-Walk and Stand-to-Sit did not show significant changes. Trial time and turn velocity showed excellent test-retest reliability (ICC range: 0.83-0.96) across both medication states. A mobile device platform provided quantitative measures of gait and turning during the TUG that detected significant improvements from anti-parkinsonian medications. This platform is a low-cost, easy-to-use tool that can provide objective reports immediately following the clinical assessments, making it ideal for use in and outside the clinical setting.
机译：与帕金森氏病（PD）相关的步态和平衡障碍通常对传统疗法无效。客观，定量分析步态模式对于成功管理这些症状至关重要。该项目旨在1）确定移动设备惯性测量单元的生物力学指标是否足够灵敏，以在定时（GoG）测试期间表征抗帕金森病药物的作用，以及2）开发克利夫兰诊所的流动性和平衡能力应用程序（CC-MB）为TUG完成后向临床医生提供客观报告。 CC-MB捕获了PD患者（pwPD）的3维加速度和旋转数据，以表征执行TUG时的质心运动。试验分为四个部分：坐着走路，步态，转弯和站立坐。在开和关（12小时）抗PD药物中测试了30种pwPD。开启和关闭条件之间的显着改善（p <0.05）包括：MDS-UPDRS III运动评分降低（10.7％），更快的试验时间（9.3％），更动态的行走，这由标准化的挺举评分增加所证实（垂直：17.3％ ，内侧-外侧：12.3％），更短的转弯时间（10.4％）和更快的转弯速度（8％）。坐着走和站着走的措施没有显示出重大变化。试验时间和转身速度在两种药物状态下均显示出极好的重测信度（ICC范围：0.83-0.96）。一个移动设备平台提供了TUG期间步态和转弯的定量测量，检测到抗帕金森病药物的显着改善。该平台是一种低成本，易于使用的工具，可以在临床评估后立即提供客观报告，因此非常适合在临床环境内外使用。

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