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MEMS sensors and wireless transmission of sensor signals for phonocardiology applications.

机译:MEMS传感器和用于心音应用的传感器信号的无线传输。

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摘要

Scope and Method of Study. Develop the new portable wireless sensor system.Findings and Conclusions. The traditional phonocardiology monitoring can be improved using a wireless sensor based approach.This thesis presents the heart monitoring system using a wireless sensor based approach to monitor heart signals. The sensors used in this system consist of an electronic stethoscope (model ds32a from Thinklabs), and an accelerometer sensor (model LIS3L02AQ from STMicroelectronics) that uses Micro-Electro-Mechanical Systems Technology (MEMS). The hypothesis test results show that there is no significant difference between the traditional and the new monitoring system signals. In this thesis, heart signal is characterized using Fast Fourier Transform (FFT), Wavelet Transform (WT) and Phase Space Analysis. The frequency spectrum shows that heart sound signal has a varied frequency content. Wavelet analysis is used to remove undesirable background noise from original signal. Phase space analysis is also used to represent different properties of the heart signals. The present work can lead to the development of a heart monitoring system to assist physicians, caregivers or patients to diagnose heart failure without incurring the disadvantages of the traditional ECGs and stethoscopes.
机译:研究范围和方法。开发新的便携式无线传感器系统。发现和结论。基于无线传感器的方法可以改善传统的心电图监测。本文提出了一种基于无线传感器的方法来监测心脏信号的心脏监测系统。该系统中使用的传感器包括一个电子听诊器(Thinklabs的ds32a型)和一个使用微机电系统技术(MEMS)的加速度计传感器(STMicroelectronics的LIS3L02AQ型)。假设检验结果表明,传统和新的监控系统信号之间没有显着差异。本文利用快速傅立叶变换(FFT),小波变换(WT)和相空间分析来表征心脏信号。频谱显示心音信号具有变化的频率含量。小波分析用于从原始信号中消除不需要的背景噪声。相空间分析还用于表示心脏信号的不同属性。当前的工作可以导致开发一种心脏监测系统,以帮助医生,护理人员或患者诊断心力衰竭,而不会引起传统心电图和听诊器的缺点。

著录项

  • 作者

    Sa-Ngasoongsong, Akkarapol.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Engineering Biomedical.Engineering Industrial.Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2009
  • 页码 151 p.
  • 总页数 151
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:47

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