A model-based approach for assessing parkinsonian gait and effects of levodopa and deep brain stimulation.
A model-based approach for assessing parkinsonian gait and effects of levodopa and deep brain stimulation.
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一种基于模型的方法，用于评估帕金森步态以及左旋多巴和深部脑刺激的影响。
DOI：
10.1109/iembs.2006.259439
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Raphan,Theodore
中科院分区：
文献类型：
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作者：
Cho,Catherine;Osaki,Yasuhiro;Kunin,Mikhail;Cohen,Bernard;Olanow,CWarren;Raphan,Theodore
步态和平衡障碍是帕金森氏病(PD)最致人残疾的特征之一，目前可用的内科和外科治疗方法还不能充分控制这些障碍。开发对这些异常的客观定量测量将极大地帮助评估和开发治疗干预措施。最近，我们开发了一种使用动态系统理论的方法，用于使用最先进的运动检测系统(OPTOTRAK 3020，Northern Digital，Inc.)测试步态。我们还开发了一个脚的动力学模型，它可以预测正常行走的站姿和摆动阶段的动力学。在这项研究中，我们确定了帕金森病患者在2次矩阵中测试开启/关闭左旋多巴(LD)和开启/关闭脑深部刺激(DBS)时，模型参数是否发生了变化
Gait and balance disturbances are amongst the most disabling features of Parkinson's disease (PD), and are not adequately controlled with currently available medical and surgical therapies. Development of objective quantitative measures of these abnormalities would greatly help in the assessment and the development of therapeutic interventions. Recently, we developed a methodology, using dynamical system theory, for testing gait with a state-of-the-art motion-detection system (OPTOTRAK 3020, Northern Digital, Inc.). We also developed a model of the dynamics of the foot that predicts the stance and swing phase dynamics of normal walking. In the present study, we determined whether model parameters were altered in subjects with PD when they were tested on/off levodopa (LD) and on/off deep brain stimulation (DBS) in a 2times2 matrix