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首页> 外文会议>World Congress on Medical Physics and Biomedical Engineering >Artificial Neural Network Applied like Qualifier of Symptoms in Patients with Parkinson's Disease by Evaluating the Movement of Upper-Limbs Activities
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Artificial Neural Network Applied like Qualifier of Symptoms in Patients with Parkinson's Disease by Evaluating the Movement of Upper-Limbs Activities

机译：通过评估上肢活动的运动，人工神经网络施用帕金森病患者患者的症状症状

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摘要

The Movement Disorder Society (MDS-UPDRS) defines characteristics to qualify various symptoms of PD, the present works propose to apply an Artificial Neural Network ANN to qualify symptoms based upon movement of upper-limbs activities. In this way, a system based on Arduino and Android mobile app were developed, where accelerometers are used to acquire and store the acceleration data from upper-limbs while PD patients were doing three activities: rest sitting, eating and brushing teeth, meanwhile their symptoms were classified by doctor between 0 (normal) to 4 (most severe impairment). After that, store data were processed and estimation on Power Spectral Density (PSD) was done, then this information and doctor's diagnosis were used into the ANN training to evaluate the symptoms in PD patients. For the ANN training was used back-propagation model and many ANN configurations, until get the best fit between inputs (processed data) and output (doctor's diagnosis). The results showed that trained ANN can be used like qualifier with a high degree of accuracy over the 90%, for the tests performed. Moreover, even though MSD-UPDRS allows to get an accurate diagnosis, there is not objective, so ANN could be fixed to be completely objective, being a great advantage with manual evaluation.
机译：运动疾病学会（MDS-UPDRS）定义特性的资格PD的各种症状，本作品提出申请的人工神经网络有资格依据的上部肢体活动的运动症状。通过这种方式，基于Arduino的和Android移动应用程序的系统被开发，其中加速度计被用来获取和存储从上层肢体的加速度数据，而PD患者在做活动三：休息休息，吃饭，刷牙，同时他们的症状通过0（正常）到4（最严重的损伤）的医生分类。之后，处理存储数据并进行功率谱密度（PSD）的估计，然后将该信息和医生的诊断用于ANN培训，以评估PD患者的症状。对于ANN培训使用回波传播模型和许多ANN配置，直到获得输入（处理数据）和输出之间的最佳拟合（医生的诊断）。结果表明，培训的ANN可以像在90％上具有高精度的Qualify，因为所执行的测试。而且，尽管MSD-UPDRS允许获得准确的诊断，但没有客观，因此ANN可以固定为完全客观，是手动评估的一个很大的优势。

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