FINGER-BASED PULSE OXIMETER DESIGN TO ESTIMATE THREE VITAL SIGNS AT ONCE: OXYGEN SATURATION, HEART RATE, AND RESPIRATORY RATE

The COVID-19 pandemic which has been happening since 2020 is causing the need for people to do self-isolation and to maintain their physical conditions by themselves. One portable solution which can be used to monitor one’s health condition by themselves is pulse oximeter. Pulse oximeter itself u...

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Bibliographic Details
Main Author: Handayani, Alexandra
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/73564
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The COVID-19 pandemic which has been happening since 2020 is causing the need for people to do self-isolation and to maintain their physical conditions by themselves. One portable solution which can be used to monitor one’s health condition by themselves is pulse oximeter. Pulse oximeter itself uses two photoplethysmogram signals that come from two different light wavelengths: red and infrared. Moreover, the signal that has been successfully recorded will then be processed to estimate 3 vital signs: heart rate (HR), respiratory rate (RR), and oxygen saturation (SpO2). Currently, the majority of commercial pulse oximeter products can only estimate heart rate and oxygen saturation, and only a few products have the capability to estimate respiratory rate too. The design in this final project is intended to give an end-to-end overview of the design process and the making of finger-based pulse oximeter that has the ability to estimate three vital signs. Knowing all the process itself is important for manufacturability in wider regions and also for future development. The final pulse oximeter design for this final project itself is using two phototransistors with narrow sensitivity range of light spectrum, specified only for 660 nm wavelength (red) and 940 nm wavelength (infrared). Both phototransistors will then be integrated with a preprocessing circuit, LED circuit, display module, and Arduino Nano as the microcontroller. The result value will then be tested from two aspects: the quality of the PPG signal itself and the estimation value/result for the all of the three vital signs. All of the results will then be evaluated and compared with BIOPAC set modules and commercial pulse oximeter.