Micro physiological vibration detection system for human heartbeat and method thereof
碩士 === 國立雲林科技大學 === 資訊工程系 === 106 === Heart rate monitoring has become a very important indicator in the research field in recent years. The heart rate of a person can reflect a person's physical health. Therefore, heart rate monitoring devices are widely used in health care for health monitori...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/a669av |
id |
ndltd-TW-106YUNT0392028 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-106YUNT03920282019-05-16T00:44:36Z http://ndltd.ncl.edu.tw/handle/a669av Micro physiological vibration detection system for human heartbeat and method thereof 人體心跳之生理微震動感測系統與方法 HUANG, YING-PENG 黃盈朋 碩士 國立雲林科技大學 資訊工程系 106 Heart rate monitoring has become a very important indicator in the research field in recent years. The heart rate of a person can reflect a person's physical health. Therefore, heart rate monitoring devices are widely used in health care for health monitoring. The purpose of this study is to verify the accuracy and stability of the pulse microseismic signal and to define the R wave, which is the time between the R wave and the R wave. We asked the subject to clamp the pulse oximeter on the left hand finger and put the three-axis acceleration sensing module on the right wrist. After sitting for ten minutes before starting the measurement, turn on the PowerLab instrument and turn it on. The triaxial acceleration sensing module ends the experiment after four minutes of sitting measurement. We use the Fourier spectrum to analyze the energy concentration band of the signal, and use the Butterworth IIR filter to remove the PPG and EKG signal noise, while the micro-vibration signal is firstly decomposed and reconstructed by frequency domain integration to velocity and then using Daubechies wavelet decomposition. The pulse micro-vibration signal; correlation analysis showed that the correlation coefficient between the micro-vibration signal and the PPG and EKG signals was as high as 0.9999. Different from traditional heart rate measuring instruments, the sensing method of this study has the advantage of being convenient to carry. It has a breakthrough in sensing methods for the health promotion trend in recent years, and the three-axis acceleration sensing technology we use, in addition to utilization in addition to the modules in this study, there are also three-axis acceleration sensing modules in smart phones, which are also very popular. In the future, it is hoped that micro-vibration sensing technology can be applied to the sensing of more human organs. Wang, Wan-Fong 王文楓 2018 學位論文 ; thesis 33 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立雲林科技大學 === 資訊工程系 === 106 === Heart rate monitoring has become a very important indicator in the research field in recent years. The heart rate of a person can reflect a person's physical health. Therefore, heart rate monitoring devices are widely used in health care for health monitoring.
The purpose of this study is to verify the accuracy and stability of the pulse microseismic signal and to define the R wave, which is the time between the R wave and the R wave.
We asked the subject to clamp the pulse oximeter on the left hand finger and put the three-axis acceleration sensing module on the right wrist. After sitting for ten minutes before starting the measurement, turn on the PowerLab instrument and turn it on. The triaxial acceleration sensing module ends the experiment after four minutes of sitting measurement.
We use the Fourier spectrum to analyze the energy concentration band of the signal, and use the Butterworth IIR filter to remove the PPG and EKG signal noise, while the micro-vibration signal is firstly decomposed and reconstructed by frequency domain integration to velocity and then using Daubechies wavelet decomposition. The pulse micro-vibration signal; correlation analysis showed that the correlation coefficient between the micro-vibration signal and the PPG and EKG signals was as high as 0.9999.
Different from traditional heart rate measuring instruments, the sensing method of this study has the advantage of being convenient to carry. It has a breakthrough in sensing methods for the health promotion trend in recent years, and the three-axis acceleration sensing technology we use, in addition to utilization in addition to the modules in this study, there are also three-axis acceleration sensing modules in smart phones, which are also very popular. In the future, it is hoped that micro-vibration sensing technology can be applied to the sensing of more human organs.
|
author2 |
Wang, Wan-Fong |
author_facet |
Wang, Wan-Fong HUANG, YING-PENG 黃盈朋 |
author |
HUANG, YING-PENG 黃盈朋 |
spellingShingle |
HUANG, YING-PENG 黃盈朋 Micro physiological vibration detection system for human heartbeat and method thereof |
author_sort |
HUANG, YING-PENG |
title |
Micro physiological vibration detection system for human heartbeat and method thereof |
title_short |
Micro physiological vibration detection system for human heartbeat and method thereof |
title_full |
Micro physiological vibration detection system for human heartbeat and method thereof |
title_fullStr |
Micro physiological vibration detection system for human heartbeat and method thereof |
title_full_unstemmed |
Micro physiological vibration detection system for human heartbeat and method thereof |
title_sort |
micro physiological vibration detection system for human heartbeat and method thereof |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/a669av |
work_keys_str_mv |
AT huangyingpeng microphysiologicalvibrationdetectionsystemforhumanheartbeatandmethodthereof AT huángyíngpéng microphysiologicalvibrationdetectionsystemforhumanheartbeatandmethodthereof AT huangyingpeng réntǐxīntiàozhīshēnglǐwēizhèndònggǎncèxìtǒngyǔfāngfǎ AT huángyíngpéng réntǐxīntiàozhīshēnglǐwēizhèndònggǎncèxìtǒngyǔfāngfǎ |
_version_ |
1719170331792375808 |