IEEE-EMBS BHI 2025

Tutorial: Patterns of Missingness in Wearable Data

October 29, 2025 (8AM) | 📍Room 1; Georgia Tech Global Learning Center (Atlanta, GA)

Join us to gain practical tools, real-world insights, and powerful frameworks that will transform missing data from a challenge into an opportunity for more robust discoveries! (Learn more)

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Event Details

When and Where

October 29, 2025
8:00 AM-11:30AM
📍Room 1, Georgia Tech Global Learning Center

Register

Pre-Tutorial

Pre-access the tutorial materials from the schedule. Let us know that you will be attending by filling out this quick survey.

Schedule

Introduction

Nature of Missingness

What are the key types and mechanisms of missing data in wearables, and how do they affect longitudinal research?

Gaps in Literature

How is missingness currently addressed in the literature, what gaps remain, and why do they matter for our research?

Case study #1:

📄 “Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection”

Case study #2:

📄 “Defining the Habitome: Phenotypes of Routine and Their Relationship to Health Outcomes”

Hands-on Tutorial

How can we practically detect, characterize, and utilize missingness in wearable datasets to strengthen analysis?

Conclusion / Q&A

Presenters

Jessilyn Dunn, PhD

Assistant Professor
Duke University

Leeor Hershkovich

PhD Student
Duke University

Hayoung Jeong

PhD Student
Duke University

Harrison Kane

Undergraduate Student
Duke University

Eric Hurwitz, PhD

Postdoctoral Researcher
UNC-Chapel Hill