CS2c: Panel: Data at Full Tilt: Accelerating Discovery with Wearables and Smartphones

ViSi Mobile is a wearable device used in inpatient settings to continuously monitor patient posture during hospitalization. Analysis of ViSi data can enable researchers and healthcare providers to quantify an individual patient's movement and investigate collective patterns of many patients. However, erroneous values can exist in routinely-collected ViSi data because these data may accrue unexpected errors during data collection or storage. I will discuss our study of identifying the types of errors that can occur and understanding how they arise. I will also describe our methodology to improve the quality of routinely-collected ViSi data for reliable inference, which can have broad application to other monitoring systems in hospital use.
 

The widespread legalization of cannabis has created a pressing need for objective markers of recent use that remain valid even in frequent users with high tolerance. Pupil light response curves, measured using wearable pupillometers and analyzed with functional data methods, offer a promising solution. We collected pupil response curves from individuals who had smoked cannabis 25–60 minutes prior, and from controls with no use in the past 8 hours. We treat time since cannabis use as a right-censored survival outcome and model it using novel functional linear and additive accelerated failure time (AFT) models. In cross-validation, our functional AFT models outperform functional Cox models in predictive accuracy. While the Cox model offers flexibility, the AFT model's parametric formulation may better reflect the underlying biological process. These results support the potential utility of functional AFT models for detecting recent cannabis use in occupational and roadside settings. 

In this presentation I will focus on the development of a few assessable methods we have employed to integrate and visualize Actigraphy data with ecological momentary assessment data to understand the association between when and where young adults experience discrimination and a subsequent CVD risk behavior (e.g., substance use, seep disruptions, dietary changes).