Research Datasets

Publicly Available Datasets

Deployments

MD2K software has been utilized in numerous collaborative studies in an array of categories including:

• Smoking Cessation
  • Northwestern University - This study evaluates the feasibility of a just-in-time intervention to delay or prevent smoking relapse in smokers attempting to quit.
  • Rice University - This study examines smoking cessation in a population of African American smokers who are attempting to quit.
  • University of Utah - This study examines the influence of socioeconomic status, social history, contextual and environmental influences, biobehavioral/psychosocial predispositions, and acute momentary precipitants on stress, smoking lapse, and abstinence among 300 smokers attempting to quit.
  • Moffitt Cancer Center - This feasibility study examines the effects of delivering mindfulness strategies via smartphones on key mechanisms underlying smoking cessation among low socioeconomic status, racially/ethnically diverse smokers.
  • University of Vermont - This study examines the multiple neurocognitive processes that have previously been implicated in relapse among smokers who are both successful and unsuccessful in maintaining smoking abstinence.

• Congestive Heart Failure
  • The Ohio State University - This study is designed to evaluate the efficacy of the novel EasySense wireless, contactless system in assessing pulmonary congestion via measurements of thoracic impedance and cardiac and lung motion in patients with congestive heart failure (CHF) during hospitalization and post-discharge.

• Oral Health
  • University of California, Los Angeles - This study develops the Remote Oral Behaviors Assessment System (ROBAS) by integrating a multimodal sensing platform (smart toothbrush and wrist sensors) with the mCerebrum software platform (physiological and EMA data logging, transmission, and activity/behavior inference system) for the testing and iterative refinement via laboratory simulators and test subjects.

• Cocaine Use
  • Johns Hopkins University - This study is designed to extend previous work in the development of methods to automatically detect the timing of cocaine use from cardiac interbeat interval and physical activity data derived from wearable, unobtrusive mobile sensor technologies.

• Behavior Change
  • Dartmouth College - This study examines mechanisms of self-regulatory function via both passive physiological sensing and ecological momentary assessment (EMA) both within and outside of laboratory settings.

• Workplace Performance
  • University of Minnesota - This study utilizes wearable sensors to objectively assess everyday job performance for employers.