{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1a60bf7364bf45b292064d2db5e5c11f\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1a60bf7364bf45b292064d2db5e5c11f-6a6c5e5b42d72fdc.gif","duration":686.094,"title":"MODULE 1 - 3: Monitoring Incoming Data","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."}