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Multi-channel biosignal processing on an OMAP 3530 system

机译:OMAP 3530系统上的多通道生物信号处理

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In times where life expectancy is continuously growing, innovative and economical technologies are needed to counteract the ever growing healthcare spendings. Considerable effort is put into medical monitoring on an outpatient basis. Such in-home health assessments combine the advantages of reliable physiological data, patient comfort and the benefits of lower healthcare expenses. In this paper, we present a novel system consisting of wireless, low-power modules, designed for unobtrusive acquisition of raw biomedical signals, complemented by a highperformance processing unit enabling sophisticated signal processing. As artefacts considerably degrade signal quality and hamper clinical diagnosis, artefact removal techniques are vital in biomedical signal acquisition. Recently proposed methods of Blind Source Separation such as ICA are well recognised approaches for artefact treatment in biomedical signal processing. In the scope of this study, we acquired multi-lead ECG signals which were processed online by the FastICA algorithm and graphically visualised in the user interface.
机译:在预期寿命持续增长的时代,需要创新和经济的技术来抵消不断增长的医疗保健支出。在门诊病人的医疗监控上付出了巨大的努力。这种家庭健康评估结合了可靠的生理数据,患者舒适度和较低的医疗保健费用的优点。在本文中,我们提出了一个新颖的系统,该系统由无线,低功耗模块组成,旨在无干扰地采集原始生物医学信号,并辅以能够进行复杂信号处理的高性能处理单元。由于伪影会大大降低信号质量并妨碍临床诊断,因此,伪影去除技术在生物医学信号采集中至关重要。最近提出的盲源分离方法(如ICA)是生物医学信号处理中人工制品处理的公认方法。在本研究的范围内,我们获得了多导联心电信号,这些信号由FastICA算法在线处理并在用户界面中以图形方式显示。

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