首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >Ambient intelligence for monitoring and research in clinical neurophysiology and medicine: the MIMERICA* project and prototype.
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Ambient intelligence for monitoring and research in clinical neurophysiology and medicine: the MIMERICA* project and prototype.

机译:用于临床神经生理学和医学的监测和研究的环境智能:MIMERICA *项目和原型。

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摘要

Ambient Intelligence (AmI) provides extended but unobtrusive sensing and computing devices and ubiquitous networking for human/environment interaction. It is a new paradigm in information technology compliant with the international Integrating Healthcare Enterprise board (IHE) and eHealth HL7 technological standards in the functional integration of biomedical domotics and informatics in hospital and home care. AmI allows real-time automatic recording of biological/medical information and environmental data. It is extensively applicable to patient monitoring, medicine and neuroscience research, which require large biomedical data sets; for example, in the study of spontaneous or condition-dependent variability or chronobiology. In this respect, AML is equivalent to a traditional laboratory for data collection and processing, with minimal dedicated equipment, staff, and costs; it benefits from the integration of artificial intelligence technology with traditional/innovative sensors to monitor clinical or functional parameters. A prototype AmI platform (MIMERICA*) has been implemented and is operated in a semi-intensive unit for the vegetative and minimally conscious states, to investigate the spontaneous or environment-related fluctuations of physiological parameters in these conditions.
机译:环境智能(AmI)为人类/环境交互提供了扩展但不干扰的传感和计算设备以及无处不在的网络。它是信息技术的新范例,在医院和家庭护理中的生物医学动态和信息学功能集成中,符合国际集成医疗保健企业委员会(IHE)和eHealth HL7技术标准。 AmI允许实时自动记录生物/医学信息和环境数据。它广泛适用于需要大量生物医学数据集的患者监测,医学和神经科学研究。例如,在研究自发性或与条件有关的变异性或年代生物学方面。在这方面,AML相当于用于数据收集和处理的传统实验室,而专用设备,人员和成本却很少。它得益于人工智能技术与传统/创新传感器的集成,以监控临床或功能参数。已实施原型AmI平台(MIMERICA *),并在半密集型设备中运行,以达到植物人的状态和最低意识状态,以研究在这些条件下生理参数的自发或与环境有关的波动。

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