Discovering key stress events from sensor data in our day-to-day lives

MOODS
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Coming Spring 2020

MOODS: Mobile Open Observation of Daily Stressors 

For more information: moods@md2k.org

moods login page

WHAT IS MOODS?

MOODS is a mobile health study that is run by the MD2K Center of Excellence for Mobile Sensor Data-to-Knowledge at The University of Memphis. 

WHAT IS THE PURPOSE OF THIS STUDY?

Our team is conducting this research study to find out if we can identify stressors (precipitants of stress) using wearable wrist sensors. The MOODS study has three primary research questions to advance mobile health (mHealth) platforms:

  1. We want to study how computational models (advanced computer code) can detect, distinguish, and/or predict stressors (things that lead people to become stressed).
  2. We want to study how patterns of stress take place within individual people from day-to-day, and how patterns of stress take place even among different people. This information can help in future research, which could tailor personal interventions to reduce stress and improve people's overall health.
  3. We want to explore the different structures and functions of the data we collect from this study. All data and information that is collected in our society has metadata (data which descirbes the data) that is very important in contextualizing the data. We are trying to build and test what forms of metadata are most useful for mHealth research, especially regarding privacy and instances in which data are missing.

We hope that asking a group of highly engaged citizen scientists will help us learn more about these research questions. Ultimately, this information will help us to plan future studies that look at how mHealth technologies can improve people's health.

We (the research team) will be accepting participant feedback throughout this study to help guide our research questions and any other questions that arise during the study. We plan to generate a publicly released (i.e., open) dataset from data contributed by MOODS study participants. We will post this dataset on the internet for anyone to download. This will only happen after participants have a chance to review and consent on what we are collecting (as explained in this consent form), and after given a chance to review and censor what information can be shared. We are doing this because the richness of the dataset that we are collecting will advance science and help future teams perform additional research.

 


 


HOW DO I TRY IT OUT?

The MOODS software can downloaded at this link: coming soon

Instructions on how to begin using our mobile software for data collection will be found here soon.

HOW DO I JOIN THE STUDY AS A PARTICIPANT?

Are you interested in citizen science, quantified self, and self-monitoring via mobile, wearable sensor technologies? In order to be eligible to participate, you will need to:

- Be a generally healthy adult between 18-64 years old
- Be willing to wear provided wrist sensor during waking hours for 100-day study period
- Be willing to label system-detected periods of stress every day for 100-day study period
- Be willing to answer short weekly surveys during 100-day study period
- Have smartphone compatible with the data collection application
- Have adequate data connection (cellular data connection or Wi-Fi)
- Be able to provide your own informed consent and read/understand English language
- Reside in the United States and intend to maintain residence in the United States for 100-day study period

Please review our consent form before joining the MOODS study.

If you are interested in joining, please email moods@md2k.org 

HOW DO I SEE MY DATA?

When you are ready to begin analyzing your data, check out our data science notebook, documentation, and other tools at moods.md2k.org.

 

 

 

Copyright © 2020 MD2K. MD2K was established by the National Institutes of Health Big Data to Knowledge Initiative (Grant #1U54EB020404)
Team: Cornell Tech, GA Tech, Harvard, U. Memphis, Northwestern, Ohio State, UCLA, UCSD, UCSF, UMass, U. Michigan, U. Utah, WVU