Thursday, April 2, 2020

IoT Podcast Episode 262: Use your wearable data to detect COVID-19

This week Kevin and I kick off the show with a discussion of who should be tracking you during the pandemic and what rules companies and governments should use in order to protect user privacy. We also dig into the importance of APIs after Apple purchased the Dark Skye weather app. Then we explain the tightening relationship between carriers and the cloud with Microsoft’s preview launch of Azure Edge Zones. From there we dig into how social media can influence people during the pandemic, the best home Wi-Fi system, the new Fitbit, turning your Wyze Cam into a webcam, and a discussion of what we want broadband to be in the world we want to live in after the pandemic. We close on Kevin talking about Home Assistant integrations and his answer for a question on the IoT Podcast Hotline about how secure Home Assistant is.

The Fitbit Charge 4 will be out on April 13 and cost $149.95. Image courtesy of Fitbit.

This week’s guest is Steve Steinhubl, the director of digital medicine at the Scripps Research Translational Institute. Scripps is trying to recruit people who have a Fitbit or other wearable to participate in a study to detect COVID-19 using variations in resting heart rate. We talk about the DETECT study (which you can sign up for from the link) as well as how to design a legitimate health study that includes consumer wearables. We also discuss the use of data and data privacy for those who want to understand those things before dedicating data to science. Enjoy the show.

Hosts: Stacey Higginbotham and Kevin Tofel
Guest: Steve Steinhubl, the director of digital medicine at the Scripps Research Translational Institute
Sponsors: Calix and Ayla Networks

  • Should Google and Apple implement contact tracing using our phones?
  • Azure Edge Zones are an example of the carriers and clouds getting closer
  • Home Assistant integrations are all over the map
  • What doctors look for when building studies around wearables
  • Why the DETECT study matters and how it’s data practices work

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