康复远程医疗卒中后结果评估

2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops Pub Date : 2011-05-23 DOI:10.4108/ICST.PERVASIVEHEALTH.2011.246141

G. Postolache, P. Girão, Claudia Maia Moura, O. Postolache

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引用次数: 8

摘要

本文综述了智能远程康复助手在脑卒中后患者家庭康复中的研究进展。设计的系统由一组智能传感器组成，包括一个微波FMCW多普勒雷达，这些传感器连接到一个基于数字信号处理器(DSP)的嵌入式计算平台。该平台确保先进的数据处理和无线数据传输到人机界面(HMI) Android OS兼容设备，由平板电脑或智能手机表示，作为医疗保健智能环境的一部分。来自健康状况和运动活动智能传感器的信息被添加到由雷达RFID设备给出的患者定位中。此外，完善的神经元康复仪器被用来评估在普遍和普遍的方式实施所提出的架构所获得的结果。

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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Rehabilitative TeleHealthCare for post-stroke outcome assessment

The article summarizes ongoing research on intelligent Tele-rehabilitation Assistants for in home rehabilitation of post stroke patients. The designed system is expressed by a set of smart sensors including a microwave FMCW Doppler radar that are connected to an embedded computing platform based on digital signal processor (DSP). This platform assures advanced data processing and wireless data transmission to a human machine interface (HMI) Android OS compatible device expressed by a tablet or by a smart phone as part of a health care intelligent ambient. The information from the health status and motor activity smart sensors is added to the patient localization given by a radar RFID device. Additionally, well-established neuron-rehabilitation instruments are used to evaluate the results obtained by the proposed architecture implemented in a ubiquitous and pervasive manner.

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

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