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Mobile application of finger tapping task assessment for early diagnosis of Parkinson's disease

机译：敲击任务评估在帕金森病早期诊断中的移动应用

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摘要

A mobile application named HLTapper was designed for Android mobile phones to collect and assess real-time alternating finger tapping movement data such as mean tapping speeds, temporal variations of tapping intervals, horizontal tapping variances, and vertical tapping variances, from built-in sensors while a subject performs the finger tapping movement task according to directions given through the application interface. The results of a controlled experiment (40 subjects including nine subjects with Parkinson disease, 11 healthy age-matched subjects, and 20 healthy young subjects) and a discriminant analysis revealed sensitivity of 85.71% and specificity of 91.42%, on an average, which suggests that HLTapper would be useful for early diagnosis and personalised treatment plan adjustments of patients with Parkinson disease.
机译：为Android手机设计了一个名为HLTapper的移动应用程序，它从内置传感器收集和评估实时交替的手指轻拍运动数据，例如平均轻拍速度，轻拍间隔的时间变化，水平轻拍变化和垂直轻拍变化。受试者根据通过应用程序界面给出的指示执行手指轻击运动任务。对照实验的结果（40名受试者，其中包括9名帕金森病受试者，11名年龄匹配的健康受试者和20名健康的年轻受试者）和判别分析显示，平均敏感性为85.71％，特异性为91.42％，这表明HLTapper对于帕金森病患者的早期诊断和个性化治疗计划调整将非常有用。

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