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Non-contact Biopotential Sensing.

机译:非接触式生物电势感测。

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摘要

Ubiquitous physiological monitoring will be a key driving force in the upcoming wireless health revolution. Cardiac and brain signals in the form of ECG and EEG are two critical health indicators that directly benefit from long-term monitoring. Despite advancements in wireless technology and electronics miniaturization, however, the use of wireless home ECG/EEG monitoring is still limited by the inconvenience and discomfort of wet, contact electrodes. This research focuses on the development of non-contact electrodes, which do not require direct electrical skin contact as a patient-friendly alternative and begins with a review of the field. Early attempts at building non-contact sensors using off-the-shelf commercial components demonstrated the feasibility of building low-cost, wireless, wearable ECG and EEG monitoring systems. As part of this early work, it was discovered that the interface noise from the insulating medium between body and sensor was often dominant, contributing significant new knowledge in this field. Further research revealed that discrete amplifiers contained many limitations, especially regarding frequency response and noise that were difficult to surmount. Previous implementations known in the literature required extensive manual tuning and calibration in order to boost the input impedance of discrete amplifiers, an imperfect and tedious process. To overcome the challenges with using discrete components, a fully custom analog sensor front-end was developed, achieving input impedances and frequency responses far exceeding than what was previously possible, all completely without the need for manual adjustment. Validation of this sensor in ECG applications show that it easily meets medical grade frequency response specifications and attains closer signal correlation to adhesive wet electrodes. Neural applications of this sensor were also explored and validated within an EEG (stead state visual evoked potential) brain-computer interface and benchmarked against dry and wet sensors. Successful real-time control of a computer, to a degree never before demonstrated with non-contact sensors, was achieved with the electrodes placed on top of hair, completely without gels or skin preparation. Additional sensor applications including EOG eye tracking and low-power integrated, focal-plane video compression are also discussed.
机译:无处不在的生理监测将成为即将到来的无线健康革命的主要推动力。心电图和脑电图形式的心脏和脑信号是直接从长期监测中受益的两个关键健康指标。尽管无线技术和电子设备的小型化取得了进步,但是无线家用ECG / EEG监控的使用仍然受到湿式接触电极的不便和不适所限制。这项研究的重点是非接触电极的开发,这种电极不需要直接的皮肤电接触即可作为对患者友好的替代品,并且从对这一领域的回顾开始。早期使用现成的商业组件构建非接触式传感器的尝试证明了构建低成本,无线,可穿戴式ECG和EEG监测系统的可行性。作为此早期工作的一部分,发现人体和传感器之间的绝缘介质中的界面噪声通常占主导地位,为该领域提供了重要的新知识。进一步的研究表明,分立放大器具有许多局限性,尤其是在频率响应和噪声方面难以克服的局限。文献中已知的先前实现方式需要大量的手动调谐和校准,以提高分立放大器的输入阻抗,这是不完善且繁琐的过程。为了克服使用分立元件的挑战,开发了完全定制的模拟传感器前端,其输入阻抗和频率响应远远超过了以前的水平,完全不需要手动调整。该传感器在ECG应用中的验证表明,它很容易满足医疗级频率响应规范,并且与粘性湿电极的信号相关性更强。该传感器的神经应用也在EEG(稳态视觉诱发电位)脑机界面内进行了探索和验证,并以干,湿传感器为基准。通过将电极置于头发顶部,完全无需凝胶或皮肤准备,就可以成功实现对计算机的实时控制,其程度达到了非接触式传感器前所未有的水平。还讨论了其他传感器应用,包括EOG眼动跟踪和低功耗集成焦平面视频压缩。

著录项

  • 作者

    Chi, Yu Mike.;

  • 作者单位

    University of California, San Diego.;

  • 授予单位 University of California, San Diego.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 210 p.
  • 总页数 210
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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