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A Multi-Sensor Platform for Microcurrent Skin Stimulation during Slow Wave Sleep

机译:慢波睡眠中微电流皮肤刺激的多传感器平台

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摘要

Insufficient and low quality sleep is related to several health issues and social outcomes. Regular sleep study conducted in a sleep laboratory is impractical and expensive. As a result, miniature and non-invasive sleep monitoring devices provide an accessible sleep data. Though not as accurate as polysomnography, these devices provide useful data to the subject by tracking sleep patterns regularly. On the other hand, proactive improvement of sleep quality has been limited to pharmacological solutions and cranial electrotherapy stimulation. An alternative approach and a potential solution to sleep deprivation is a non-pharmacological technique which involves the application of micro-current electrical stimulation on the palm during Slow Wave Sleep (SWS). This thesis presents the development of a miniature device for SWS detection and electrocutaneous stimulation.;Several sensors are embedded in the prototype device to measure physiological data such as body movement, electrodermal activity, heart rate, and skin and ambient temperature. Furthermore, the prototype device provides local storage and wireless transfer for data acquisition. The quality of the sensor data during sleep are discussed in this thesis. For future work, the results of this thesis shall be the used as a baseline to develop a more refined prototype for clinical trials in sleep laboratories.
机译:睡眠不足和低质量与若干健康问题和社会后果有关。在睡眠实验室进行定期睡眠研究是不切实际且昂贵的。结果,微型和非侵入性睡眠监测设备提供了可访问的睡眠数据。尽管不如多导睡眠监测仪准确,但这些设备通过定期跟踪睡眠模式为受试者提供了有用的数据。另一方面,积极改善睡眠质量仅限于药理解决方案和颅电疗法的刺激。一种替代方法和潜在的睡眠剥夺解决方案是一种非药理学技术,该技术涉及在慢波睡眠(SWS)期间在手掌上施加微电流电刺激。本论文提出了一种用于SWS检测和皮肤电刺激的微型设备的开发。原型设备中嵌入了多个传感器,用于测量生理数据,例如身体运动,皮肤电活动,心率,皮肤和环境温度。此外,原型设备还提供本地存储和无线传输以获取数据。本文讨论了睡眠期间传感器数据的质量。为了将来的工作,本论文的结果将作为基线,为睡眠实验室的临床试验开发更完善的原型。

著录项

  • 作者

    Dauz, Francia Tephanie.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Electrical engineering.
  • 学位 M.A.Sc.
  • 年度 2017
  • 页码 79 p.
  • 总页数 79
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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