对基于行为模式的神经退行性疾病早期检测和管理助手的要求

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI:10.4108/ICST.PERVASIVEHEALTH.2011.246009

A. Stainer-Hochgatterer, Lukas Roedl, Alberto Martínez, I. Etxeberria, E. Aldaz, Bernhard Wöckl, J. Bund

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引用次数: 8

摘要

本文描述了BEDMOND AAL联合计划项目的各个方面，该项目旨在开发基于信息通信技术的系统，用于早期检测阿尔茨海默病和其他神经退行性疾病，重点是确定的应用推理层。首先讨论了这种基于行为模式的助手的需求，然后介绍了所使用的系统架构，最后详细介绍了情景识别层、解释层和数据表示层的应用推理层。

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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Requirements for a behaviour pattern based assistant for early detection and management of neurodegenerative diseases

This paper describes the various aspects of the BEDMOND AAL Joint Programme project, which aims at the development of an ICT-based system for the early detection of Alzheimer's disease and other neurodegenerative diseases, with focus on the identified applied reasoning layers. First the requirements of such a behaviour pattern based assistant are discussed, then the used system architecture is introduced and finally the applied reasoning layers for the situation recognition, interpretation and data representation layers are also detailed.

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2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops

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