{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/77c12c61e54e44958f05d8aa402c6906\" 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/77c12c61e54e44958f05d8aa402c6906-61984289e70e2220.gif","duration":362.813,"title":"MODULE 2 - 5: Kramers-Kronig (KK) Testing","description":"In this video, I demonstrate how to use the KK test to validate data collected from the Pulsenics dashboard's analytics page. We navigate to the validation tab, select our Nyquist plot, and explore options like M selection and robust KK tests to ensure a good fit. I highlight that a root mean squared error below 1% indicates a valid EIS measurement, confirming that our system is in a steady state and responding linearly. I also show how to specify frequency ranges to refine our fit. Please review the results and consider adjusting circuit elements if necessary."}