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Wrist sensor for warfighter status monitor.

机译:腕力传感器,用于战士状态监控器。

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摘要

There is a pressing need to improve human status monitoring in the medical and military communities. The heart rate and breading rate are the most important human vital signs. The current heart rate and breading rate monitors are rather cumbersome, expensive, and usually confined to the intensive care unit or ambulatory setting. These techniques are therefore unavailable to certain applications, such as home care and military applications.; The purpose of this work is to develop new methods and new technologies for heart rate and breathing rate monitoring. To accomplish this task, a novel optical acoustic laser sensor (OALS) is characterized and used to generate an optical signal corresponding to human heart beat and breathing. An application specific integrated circuit (ASIC) is developed for this unique compact human status monitor Extensive experimental data analysis and simulation are conducted to investigate robust digital signal processing (DSP) methods. The Gauss-Hermite wavelet transform (GHWT) is utilized as a time-frequency representative technique to provide a method for the detection of the very low frequency heart rate and breathing rate from the large and noisy biomedical lasergram (BLG) signal. A 915MHz RF transceiver provides a reliable wireless link for the monitor to receive commands or transmit the measurement results to a remote commander center. A complete micro-instrument based on the ideas and methods above are developed and tested. The results show that the heart rate and breathing rate could be measured under difficult environmental situations.
机译:迫切需要改善医疗和军事社区的人类状况监测。心率和面包屑率是人类最重要的生命体征。当前的心率和面包率监测器相当笨重,昂贵,并且通常仅限于重症监护病房或非卧床场所。因此,这些技术不适用于某些应用,例如家庭护理和军事应用。这项工作的目的是开发用于监测心率和呼吸率的新方法和新技术。为了完成此任务,对新型光学声激光传感器(OALS)进行了表征,并将其用于生成与人的心跳和呼吸相对应的光信号。为此独特的紧凑型人类监护仪开发了专用集成电路(ASIC),并进行了广泛的实验数据分析和仿真,以研究可靠的数字信号处理(DSP)方法。高斯-赫尔米特小波变换(GHWT)被用作时频代表技术,以提供一种从大而嘈杂的生物医学激光图(BLG)信号中检测极低频心率和呼吸率的方法。 915MHz射频收发器为监视器提供了可靠的无线链路,以接收命令或将测量结果传输到远程指挥中心。基于上述思想和方法的完整的微型仪器已经开发和测试。结果表明,在困难的环境下可以测量心率和呼吸率。

著录项

  • 作者

    Chen, Wuping.;

  • 作者单位

    University of Virginia.;

  • 授予单位 University of Virginia.;
  • 学科 Engineering Electronics and Electrical.; Engineering Biomedical.; Physics Optics.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 155 p.
  • 总页数 155
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;生物医学工程;光学;
  • 关键词

  • 入库时间 2022-08-17 11:47:32

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