RESPIRATORY RATE ESTIMATION USING THREE RESPIRATORY-INDUCED VARIATIONS ON PHOTOPLETHYSMOGRAM
Respiratory rate (RR) is one of the important respiratory monitoring parameters as an early indicator of critical illness in patients. Respiratory rate is usually obtained using capnography, impedance pneumography (IP), or electrocardiogram (ECG). Respiratory rate can also be obtained using ph...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/56555 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Respiratory rate (RR) is one of the important respiratory monitoring parameters as
an early indicator of critical illness in patients. Respiratory rate is usually obtained
using capnography, impedance pneumography (IP), or electrocardiogram (ECG).
Respiratory rate can also be obtained using photoplethysmograph (PPG) due to
the effect of the respiratory process on PPG signals on PPG signals. Therefore,
respiratory rate monitoring can be done comfortably with an inexpensive portable
device called pulse oximeters. Based on the previous research, the challenge in
respiratory rate estimation using PPG is noise. So, there must be a noise handling
mechanism in the algorithm. In this final project, the algorithm was designed using
the three respiratory-induced variations in PPG signals. We also observe the
influence of the length of the PPG window on the algorithm performance. The
length of the PPG window affects the algorithm's performance, the amount of
estimated respiratory rates, and the algorithm's ability to detect a change of RR in
a periode of respiration.
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