CyVerse Webinar: Managing and Analyzing Wearables Data (Pt1 of 2) Date: 20230929

Wearable fitness trackers such as Apple Watch, Fitbit, Garmin, and others are widespread and offer a scalable mechanism to collect physiological biomarkers such as heart rate, blood pressure, activity, sleep, etc. However, integrating this valuable data into your research projects can be challenging, with each sensor exposing an unique way for data ingestion and connection.
In this 2-part webinar Shravan Aras, Asst. Director Sensor Analysis & Smart Platforms at the University of Arizona, will go over some of the commonly used wearable sensors and present practical information on how to connect to their outputs and how to analyze wearable data for your research. This webinar will be particularly useful to biomedical researchers and healthcare professionals, but also data analysts and engineers interested in ML and AI applications.
For part 1 of the webinar (Sep 29), we will look at the various biomarkers recorded by some of the most popular wearable sensors (Fitbit, Apple Watch, Garmin, etc.) on the market. Dr. Aras will walkthrough how data from these sensors can easily be integrated into your research studies using MyDataHelps and CyVerse.
For part 2 (Oct 20), we will learn how to monitor participant compliance and explore how to visualize the sensor data running on CyVerse using Apache Superset, an open-source software application for data exploration and data visualization able to handle data at petabyte scale.