生物医学工程实验室生物信号采集课程实施效果

J. V. Montesdeoca-Contreras, A. C. Villa Parra, R. S. Avila-Campoverde, J. A. Morales-Garcia
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引用次数: 2

摘要

在此背景下,本文介绍了本科生使用Biopac MP45进行生物信号采集课程的实施过程。针对每种生物信号,提出了一种安全的获取方案。分析了肌电图(EMG)、心电图(ECG)、脑电图(EEG)和脑电图(EOG)的不同实现经验,包括频域和时域。对肌电图采集教训进行了腕屈肌在握拳时振幅和频率变化的特征分析。在此背景下,在心电采集中,进行了艾因托芬三角、导数和时间间隔分析。以同样的形式,对脑电图采集进行分析,分析诱发α状态时大脑皮层的频率活动是如何变化的。最后对眼电信号采集进行了验证。所有这些过程都是由本科生在监督下完成的。实验结果表明,该方法具有良好的性能,是一种正确的生物信号采集方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation results of biosignals acquisition lessons for Biomedical Engineering Lab
Previous works in analysis and design of biosignals acquisition have been done in Universidad Politécnica Salesiana, In this context, this paper presents the results of implementation process of biosignals acquisition lessons with Biopac MP45 by undergraduate students. For each biosignals a protocol acquisition are proposed to safety. Different implementation lessons about in Electromyography (EMG), Electrocardiography (ECG), Electroencephalography (EEG) and Electroculography (EOG) are analyzed, including both frequency and temporal domain. To EMG acquisition lessons a characteristics analysis of amplitude and frequency changes by the wrist flexor when, fist is done. In this context, in ECG acquisition, the Einthoven triangle and derivative and temporal intervals analysis are made. The same form, to EEG acquisition an analysis of how change the frequency activity of cortex when induced to alpha state. Finally to EOG acquisition a verified of behavior signals in ocular movements are made. All this process are implemented by undergraduate students under supervision. The results show a good performance and a correct biosignals acquisition method.
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