Processing pulse oximeter signals in exercise environment
Pulse oximeter has become an important device to have to monitor the heart rate and oxygen saturation of the user. It is commonly used in hospitals and clinics but now it gradually starts to be used in home and exercise environments. The project involves the development and testing of a portable...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/61512 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | Pulse oximeter has become an important device to have to monitor the heart rate and oxygen saturation of the user. It is commonly used in hospitals and clinics but now it gradually starts to be used in home and exercise environments.
The project involves the development and testing of a portable non-invasive device, the pulse oximeter, which can continuously record the oxygen saturation and heart rate during stages of physical activity such as walking, jogging and running. Pulse oximeter calculates SpO2 by measuring the difference of light absorbance of hemoglobin. The light detected by the light sensor produces a photoplethysmography (PPG) signal that represents the drop in light intensity at each arterial pulse. From the PPG signal, several data parameters can be obtained.
Data parameters such as VO2 max and heart rate were collected through various test experiments by using both the pulse oximeter and current devices in the market in order to test the accuracy of the pulse oximeter designed. The data collected by the NI DAQ is first processed and filtered in Matlab before any analysis is done. |
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