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Functional modeling of pedaling kinematics for the Stroke patients.
Journal of Biopharmaceutical Statistics ( IF 1.2 ) Pub Date : 2020-03-04 , DOI: 10.1080/10543406.2020.1730872
Sounak Chakraborty 1 , Tanujit Dey 2, 3 , Anish Mukherjee 3, 4 , Jay L Alberts 5 , Susan M Linder 5
Affiliation  

Understanding deficits in motor control through the analysis of pedaling biomechanics plays a key role in the treatment of stroke patients. A thorough study of the impact of different exercise patterns and workloads on the change between pre- and post-treatment movement patterns in the patients is therefore of utmost importance to the clinicians. The objective of this study was to analyze the difference between pre- and post-treatment pedaling torques when the patients are subject to different exercise groups with varying workloads. The effects of affected vs unaffected side along with the covariates age and BMI have also been accounted for in this work. Two different three-way ANOVA-based approaches have been implemented here. In the first approach, a random projection-based ANOVA technique has been performed treating the pedaling torques as functional response, whereas the second approach utilizes distance measures to summarize the difference between pre- and post-treatment torques and perform nonparametric tests on it. Bayesian bootstrap has been used here to perform tests on the median distance. A group of stroke patients have been studied in the Cleveland Clinic categorizing them into different exercise groups and workload patterns. The data obtained have been analyzed with the aforementioned techniques, and the results have been reported here. These techniques turn out to be promising and will help clinicians recommend personalized treatment to stroke patients for optimal results.



中文翻译:

中风患者蹬踏运动学的功能建模。

通过踏板生物力学分析了解运动控制缺陷在中风患者的治疗中起着关键作用。因此,对不同运动模式和工作负荷对患者治疗前和治疗后运动模式之间变化的影响的深入研究对临床医生至关重要。本研究的目的是分析当患者接受不同工作负荷的不同运动组时,治疗前和治疗后踏板扭矩之间的差异。在这项工作中还考虑了受影响侧与未受影响侧以及协变量年龄和 BMI 的影响。这里实施了两种不同的基于三向方差分析的方法。在第一种方法中,已执行基于随机投影的 ANOVA 技术将踏板扭矩视为功能响应,而第二种方法利用距离测量来总结处理前和处理后扭矩之间的差异并对其进行非参数测试。这里使用了贝叶斯引导程序来对中值距离进行测试。克利夫兰诊所对一组中风患者进行了研究,将他们分为不同的运动组和工作负荷模式。已使用上述技术对获得的数据进行了分析,并在此报告了结果。这些技术被证明是有前途的,并将帮助临床医生向中风患者推荐个性化治疗以获得最佳结果。而第二种方法利用距离测量来总结治疗前后扭矩之间的差异,并对其进行非参数检验。这里使用了贝叶斯引导程序来对中值距离进行测试。克利夫兰诊所对一组中风患者进行了研究,将他们分为不同的运动组和工作负荷模式。已使用上述技术对获得的数据进行了分析,并在此报告了结果。这些技术被证明是有前途的,并将帮助临床医生向中风患者推荐个性化治疗以获得最佳效果。而第二种方法利用距离测量来总结治疗前后扭矩之间的差异,并对其进行非参数检验。这里使用了贝叶斯引导程序来对中值距离进行测试。克利夫兰诊所对一组中风患者进行了研究,将他们分为不同的运动组和工作负荷模式。已使用上述技术对获得的数据进行了分析,并在此报告了结果。这些技术被证明是有前途的,并将帮助临床医生向中风患者推荐个性化治疗以获得最佳效果。克利夫兰诊所对一组中风患者进行了研究,将他们分为不同的运动组和工作负荷模式。已使用上述技术对获得的数据进行了分析,并在此报告了结果。这些技术被证明是有前途的,并将帮助临床医生向中风患者推荐个性化治疗以获得最佳效果。克利夫兰诊所对一组中风患者进行了研究,将他们分为不同的运动组和工作负荷模式。已使用上述技术对获得的数据进行了分析,并在此报告了结果。这些技术被证明是有前途的,并将帮助临床医生向中风患者推荐个性化治疗以获得最佳结果。

更新日期:2020-03-04
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