Bianchi Luigi, Babiloni Fabio, Cincotti Febo, Arrivas Marco, Bollero Patrizio, Marciani Maria Grazia
Neuroscience Department, Università degli Studi di Roma Tor Vergata, 00133 Rome, Italy,
IEEE Trans Neural Syst Rehabil Eng. 2003 Jun;11(2):117-9. doi: 10.1109/TNSRE.2003.814452.
Microprocessors, even those in PocketPCs, have adequate power for many real-time biofeedback applications for disabled people. This power allows design of portable or wearable devices that are smaller and lighter, and that have longer battery life compared to notebook-based systems. In this paper, we discuss a general-purpose hardware/software solution based on industrial or consumer devices and a C++ framework. Its flexibility and modularity make it adaptable to a wide range of situations. Moreover, its design minimizes system requirements and programming effort, thus allowing efficient systems to be built quickly and easily. Our design has been used to build two brain computer interface systems that were easily ported from the Win32 platform.
微处理器，即使是掌上电脑中的微处理器，对于许多面向残疾人的实时生物反馈应用来说也有足够的处理能力。这种处理能力使得我们能够设计出比基于笔记本电脑的系统更小、更轻且电池续航时间更长的便携式或可穿戴设备。在本文中，我们讨论了一种基于工业或消费设备以及C++框架的通用硬件/软件解决方案。其灵活性和模块化使其能够适应广泛的情况。此外，其设计将系统要求和编程工作量降至最低，从而能够快速轻松地构建高效系统。我们的设计已被用于构建两个脑机接口系统，它们能够轻松地从Win32平台移植过来。
