面向帕金森病的多模态在线预警方法研究

项目名称： 面向帕金森病的多模态在线预警方法研究

项目编号： No.61502456

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 计算机科学学科

项目作者： 于汉超

作者单位： 中国科学院计算技术研究所

项目金额： 22万元

中文摘要： 帕金森病（Parkinson’s Disease，PD）的早期预警对于及时延缓、阻止或控制病情的发展，具有非常重要的现实意义，是治疗PD的理想方法。本项目面向PD的智能化早期预警，拟基于PD的相关医学知识和临床诊断经验，利用脑电仪、肌电仪、智能手环等多模态可穿戴感知设备，引入在线增量式机器学习算法和自然人机交互技术展开研究。项目将重点研究面向PD预警的多模态生理参数感知和医学特征提取、PD预警模型的构建与在线更新等内容，最后实现一套面向老年人群的PD早期自动预警系统。项目将联合中科院计算所和首都医科大学宣武医院，发挥各自在智能感知、新型交互、PD医学知识本体、认知建模等方面的优势，深度探索多模态生理参数与PD医学特征之间的在线增量式关系模型，力争在PD早期自动预警上得到临床验证和积极应用。

中文关键词： 生理计算；人机交互

英文摘要： Early diagnosis of Parkinson’s Disease (PD) has very important practical significance for timely slowing, preventing and controlling the disease so that it is the ideal way to cure PD. For intelligent early diagnosis of PD, the project is based on the medical knowledge and clinical experience on PD and plans to start research by importing online incremental machine learning algorithm on the platform of multimodal wearable equipment like electroencephalogram (EEG) device, electromyography (EMG) device and intelligent bracelet. And the project will focus on several medical tasks, such as multimodal physiological parameters sensing and medical feature extraction for PD early diagnosis and building and online updating the PD early diagnosis model, etc. At the end, the project will realize an automatic PD early diagnosis system for the elder. The ICT (Institute of Computing Technology, Chinese Academy of Science) and the XWH(Xuanwu Hospital Capital Medical University) will take part in the project and play their respective advantages of the IntelliSense, the new interactive, PD medical ontology and cognitive modeling, etc. And the project will also deeply explore the online additional relationship model between the multimodal physiological parameters and PD’s medical features in order to make the proposed model get clinically validated and positively applied.

英文关键词： Physiological Computing;Human-Computer Interaction