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帕金森病的个体化计算机辅助药物治疗

[Individual computer-assisted pharmacotherapy in Parkinson disease].

作者信息

Khutorskaia O E

出版信息

Zh Nevrol Psikhiatr Im S S Korsakova. 1998;98(12):25-8.

PMID:9866155
Abstract

The authors examined whether it is valid to use electromyographic signs for control of both the efficiency of pharmacotherapy and an individual choice of drugs. A new computer method of processing of muscular electrical potentials' registered-by supradermal electrodes is proposed. The method permitted quantitation of electromyographic signs of the main symptoms of Parkinson's disease (tremor, rigidity, akinesia). Based on the signs obtained, a system of automatic diagnosis of the main symptoms of Parkinson's disease by a separate muscle was designed. This method was used in examination of 72 patients with different clinical forms of Parkinson's disease in the course of selectivity pharmatherapy for them. The method can be used for more precise diagnosis of the disease of clinical forms, for an individual choice of drugs during long-term antiparkinsonic mono- and combined therapy and for evaluation of efficiency of the treatment performed.

摘要

作者们研究了使用肌电图征象来控制药物治疗效果和个体药物选择是否有效。提出了一种通过皮电极记录的肌肉电位的新计算机处理方法。该方法能够对帕金森病主要症状(震颤、强直、运动不能)的肌电图征象进行定量分析。基于所获得的征象,设计了一个通过单个肌肉对帕金森病主要症状进行自动诊断的系统。该方法用于对72例患有不同临床类型帕金森病的患者进行选择性药物治疗过程中的检查。该方法可用于更精确地诊断临床类型的疾病,用于长期抗帕金森病单药治疗和联合治疗期间的个体药物选择,以及评估所进行治疗的效果。

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