Building the platform
Can we measure childhood mental health with wearables, and should we?
From behavioral insights to family-facing tools.
Roughly one in five children in the United States meets criteria for a mental health disorder, yet fewer than half receive treatment. Delays between first onset and initial treatment contact extend from one to thirty years depending on condition and country, with anxiety disorders showing the longest delays. Fewer than forty percent of young children meeting diagnostic criteria are perceived by their parents as having a mental health need. Scalable, objective screening and personalized intervention approaches are needed. Technical feasibility alone, however, does not ensure clinical adoption or family engagement.
This dissertation presents a translational pathway for digital phenotyping of pediatric mental health, spanning platform development, measurement optimization, and family-facing translation. It develops complementary frameworks for responsible real-world deployment: a practicality-weighted approach to sensor selection, an ethical framework for digital phenotype screening tools, and customer-discovery-driven translational case studies that connect measurement to family-facing intervention.
Research funding. NSF Graduate Research Fellowship Program (GRFP, 2023 to 2026): "Discovering Digital Phenotypes of Childhood Internalizing Disorders for Point-of-Care Diagnostics." Foundational platform and study work supported through Ryan McGinnis's NSF CAREER Award #2046440 ("Platform for Characterizing Transdiagnostic Markers of Disease from Wearable and Mobile Technologies") and Ellen McGinnis's NIH K23 Award (K23MH123031).
Translational funding. Gotham Regional Innovation Gambit I-Corps Program (NSF I-Corps NY Hub, Fall 2022), NSF I-Corps Regional (2022) and National (2023) Programs (Loftness & E. McGinnis), the IDeA Entrepreneurship Fellow Award (UVM Innovations iTREP Program, 2025), the UVM ARC Program (2025 to 2026), the Equalize 2024 Digital Health Cohort, UVM Ventures 2025 ($30K), Launch-VT 2024 Grand Prize ($15K), Spark-VT 2023 ($45K), and the Vermont EPSCoR SBIR Phase 0 Award (Biobe, $15K, 2026).
Can we measure childhood mental health with wearables, and should we?
Which sensors matter, and where on the body can we actually place them?
I added trapezius EMG sensors to the protocol in 2022, curious whether kids' shoulders would tense up under stress the way adults do. Turns out the signal showed us more about another muscle in the region: the heart. That's what Chapter 2's trapezius work tests.
What sits between detection and family action, and can we close that gap at scale?
Together, this work demonstrates that digital phenotyping for pediatric mental health is technically feasible, practically deployable, and acceptable to families when every stage prioritizes real-world practicality, ethical constraints, resource barriers, and community voices alongside scientific rigor.