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ppg.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>PPG Processing</title>
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</head>
<body>
<nav class="topnav" role="navigation">
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<a id="home" aria-haspopup="true" aria-expanded="false" href="index.html" tabindex="0">Home▽</a>
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<li><a href="gallery.html">Art Gallery</a></li>
<li><a href="https://dl.acm.org/doi/10.1145/3494991">FaceBit Paper</a></li>
<li><a href="https://dl.acm.org/doi/10.1145/3560905.3568561">Protean Paper</a></li>
<li nav aria-current="page"><a href="ppg.html">PPG Processing</a></li>
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<li>jasonhuang2023[at]u[dot]northwestern[dot]edu</li>
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<article class="brick-container-container" aria-labelledby="ray-tracer" role="article">
<h1 id="ray-tracer">Pulse Plethysmography Processing</h1>
<p>In this ongoing research project, I used Python in order to process PPG signals into vital information such as heart rate, respiration rate, oxygen saturation,
and blood pressure as part of a signal processing pipeline for an embedded device. In the below figures, I recreate an IMS peak picking algorithm with modifications
to account for our noisier signal from a novel sensor placement. From the line segments generate, I seperate out different components of the signal (Amplitude Modulation, Baseline Wander, and Frequency Modulation)
to extract a respiratory signal.
</p>
<figure class="palette-wrapper">
<img src="images/ims_peaks.png">
<img src="images/ppg_output.png">
<img src="images/respiration_signal.png">
<figcaption>Using tweaked IMS algorithm to extract respiratory signal from PPG</figcaption>
</figure>
</article>
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