应用人工神经网络估计UPDRS手指敲击评分用于帕金森病的定量诊断

2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine Pub Date : 2007-12-26 DOI:10.1109/ITAB.2007.4407396

K. Fukawa, R. Okuno, M. Yokoe, S. Sakoda, K. Akazawa

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引用次数: 4

摘要

本研究的目的是利用人工神经网络估计帕金森病患者UPDRS手指敲击评分。该测量系统由一对3轴加速度计、一对触摸传感器、一个模数转换器和一台个人计算机组成。首先利用该系统测量了44例正常人和17例帕金森病患者手指敲击时的加速度。其次，从得到的加速度中提取四个特征;最后，采用三层人工神经网络模型估计UPDRS手指敲击得分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimation of UPDRS Finger Tapping Score by using Artificial Neural Network for Quantitative Diagnosis of Parkinson's disease

The purpose of this study was to estimate UPDRS finger tapping score with Parkinson's disease patients by using an artificial neural network. The measurement system was composed of a pair of 3-axis accelerometers, a pair of touch sensors, an analog to digital converter and a personal computer. Firstly, the accelerations during the finger tapping were measured with 44 normal subjects and 17 Parkinson's diseases subjects by using this system. Secondly, the four features were extracted from the obtained accelerations. Finally, the UPDRS finger tapping score was estimated by using a three-layer artificial neural network model.

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2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine

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