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Vector-based analysis of motor activities in patients with Parkinson's disease

机译:帕金森病患者电机活动的基于载体分析

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Describes a novel, computer-based approach to the objective assessment of the symptoms of Parkinson's disease. The magnitude of symptoms such as tremor, chorea and hesitation are particularly important in the appropriate administration of drugs, such as L-Dopa, used to improve patients' motor activities. The method adopted measures the motor control of patients in real time using a commercially available digitising tablet. Vector-based analysis of this data is then performed to obtain an objective measurement of the symptoms under investigation. Results are presented for a population of Parkinson's patients and compared with results obtained from subjects without any known neurological disorder. It is proposed that this technique is sufficiently sensitive to aid precise administration of medication to Parkinson's patients throughout the day, and thus to increase the long-term benefits of such drug therapies.
机译:描述了一种基于计算机的目标评估帕金森病的症状的新颖。诸如震颤,舞蹈区和犹豫等症状的大小在适当的药物(如L-DOPA)中尤为重要,用于改善患者的电机活动。该方法采用了使用市售的数字化平板电脑实时测量患者的电机控制。然后对基于载体的分析进行该数据以获得对调查症状的客观测量。结果是帕金森患者群体,并与没有任何已知神经疾病的受试者获得的结果相比。提出这种技术足够敏感,以帮助精确地将药物施用给帕金森的患者,从而增加这种药物治疗的长期益处。

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