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智能感应笔辅助动态笔迹分析诊断帕金森病。

Intelligent Sensory Pen for Aiding in the Diagnosis of Parkinson's Disease from Dynamic Handwriting Analysis.

机构信息

Graduate Program in Applied Informatics (PPGIA), University of Fortaleza, Fortaleza 60811-905, Ceará, Brazil.

LASIGE, Department of Computer Science, Faculty of Sciences, University of Lisbon, Campo Grande, 1749-016 Lisbon, Portugal.

出版信息

Sensors (Basel). 2020 Oct 15;20(20):5840. doi: 10.3390/s20205840.

DOI:10.3390/s20205840
PMID:33076436
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7602671/
Abstract

In this paper, we propose a pen device capable of detecting specific features from dynamic handwriting tests for aiding on automatic Parkinson's disease identification. The method used in this work uses machine learning to compare the raw signals from different sensors in the device coupled to a pen and extract relevant information such as tremors and hand acceleration to diagnose the patient clinically. Additionally, the datasets composed of raw signals from healthy and Parkinson's disease patients acquired here are made available to further contribute to research related to this topic.

摘要

本文提出了一种笔式设备，能够从动态手写测试中检测特定特征，以辅助帕金森病的自动识别。本工作中使用的方法采用机器学习技术，比较笔式设备中不同传感器的原始信号，并提取相关信息，如震颤和手部加速度，以进行临床诊断。此外，还提供了由健康患者和帕金森病患者的原始信号组成的数据集，以进一步促进与该主题相关的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d62/7602671/0030a966b9ef/sensors-20-05840-g017.jpg
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