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Measurements of Antisaccades Parameters Can Improve the Prediction of Parkinson's Disease Progression

机译:反侦测参数的测量可以改善帕金森病进展的预测

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In this text we present the results of oculometric experiment consisting the registration of anitsaccades of patients with Parkinson's Disease (PD) in relation to their neurological data. PD is an important and incurable neurodegenerative disease and we are looking for methods optimizing the treatment. In our previous works we used Reflexive Saccades (RS) and Pursuit Ocular Movements (POM) to check what it can tell us about the disease's progression expressed in the Unified Parkinson's Disease Rating Scale (UPDRS). The UPDRS is the most commonly used scale in the clinical studies of Parkinson's disease. In this experiment we examined antisaccades (AS) of 11 PD patients who performed eye movement tests in controlled conditions. We correlated neurological measurements of patient's motoric abilities and data describing their treatment with values of AS parameters. We used RSES and for prediction of the UPDRS scoring groups and Weka methods for presentation of the results. We achieved good results with accuracy of 91% and coverage of 100%). The AS test is a relatively easy and non-invasive method that can be used in the telemedicine in the future.
机译:在本文中,我们介绍了oculometric实验的结果,包括帕金森病(Pd)与其神经数据相关的Anitsactocks的注册。 PD是一种重要且无法治愈的神经变性疾病,我们正在寻找优化治疗方法的方法。在我们之前的作品中,我们使用了反身扫视(RS)并追求眼部运动(POM)来检查它可以告诉我们统一帕金森病评级规模(UPDRS)中表达的疾病的进展。 UPDRS是帕金森病的临床研究中最常用的规模。在该实验中,我们检查了在受控条件下进行了眼部运动试验的11个PD患者的反剖视图(AS)。我们相关的患者摩托能力和数据的神经学测量和描述其处理的数据作为参数的值。我们使用RSES并预测UPDRS评分组和WEKA方法,以呈现结果。我们的效果良好,准确性为91%,覆盖率为100%)。作为测试是一种相对容易和无侵入的方法,可以在未来在远程医疗中使用。

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