<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/1a60bf7364bf45b292064d2db5e5c11f&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1a60bf7364bf45b292064d2db5e5c11f-6a6c5e5b42d72fdc.gif</thumbnail_url><duration>686.094</duration><title>MODULE 1 - 3: Monitoring Incoming Data</title><description>In this video, I walk you through how to monitor incoming data from our ongoing experiment using the Pulsenics Dashboard. I demonstrate how to create various plots, including DC voltage and current plots, frequency-domain plots like Bodie and Nyquist plots, and electrochemical data plots to track metrics such as omic resistance. I emphasize the importance of validating our data with the KK test to ensure it is reliable for further analysis, aiming for a root mean squared error below 5%. Please make sure to follow along and apply these techniques to effectively monitor and validate your experimental data.</description></oembed>