Cloud data

The Moodmetric smartphone app syncs the data to cloud

The measurement data is transferred via bluetooth from the ring to the mobile app. The app data is synced to the Moodmetric cloud:

  • By default every 3 hours when within WiFi range
  • Possibility to sync more often, even every 5 minutes

The login view shows the user data

When logging in, the first view is the user’s own data. The circular diagram from the Moodmetric App is now a horizontal presentation with easy browsing.

Note: Daily average value at the upper right corner differs slightly of the mobile app Daily average, as the app calculates a day from 6am to 6pm while in this presentation a day starts at 0.00.

Manage settings at User profile

User Profile gives you a snapshot over your personal data, groups you own or belong to, and the rings your have used. The ring section also allows you to download data measured with the particular ring.

Group data information is empty, if you are not an owner of a group or do not belong to any group.

Remember to change password regularly. You can do that under Personal information.

Group member data and reporting

Research data is managed through Groups. Participants wear the Moodmetric smart rings, download the data to their phones and further to the Moodmetric cloud. Research cloud groups are formed by Moodmetric after a request from the research leader. Research team members are nominated as group owners after which they can view the participants’ data.

Group member data can be extracted to several views and reports:

  • The Dashboard view
  • The Moodmetric level (MM level) weekly view + output file (Excel)
  • The MM level and EDA features per minute, output files (Excel and CSV)

1. The Dashboard view

My Groups -> Dashboard gives a snapshot of the group members. It enables for instance checking whether everyone has downloaded their data to cloud. By clicking users the curves can be viewed one by one.

If only one user / curve is chosen, the data can be viewed more in detail. The time and MM level can be observed by moving the pointer.

Note: Time points in this graph are counted as rolling average with smoothing. This enables simple viewing, but for further analysis it is adviced to use CSV/Ecxel reports (see ‘3. Measurement data per minute’ below).

2. The MM level weekly view

The MM level weekly view only handles average values

  • Intended for stress level management in long term
  • A tool for instance for healthcare and well-being professionals’ customer work

Weekly view can be downloaded to Excel

3. Measurement data per minute (Excel / CSV)

The MM level is available from the Moodmetric cloud at a sample rate 1 S / minute, as well as electrodermal activity features, such as SCL and SCR. These files are simplest tool to extract data for research use.

  • Choose your group –> select ‘All members’ or just one –> select CSV or Excel.
  • This report gives the complete history, without time limit.

The downloaded Excel file contains the same data as the CSV. Here the Excel as a sample:

The first columns contain the User ID (if several users, they are one after another), Device ID references the smartphone and Ring_ID the ring the that collected the data. The following columns:

SCR/min: Activations / skin reactions per minute. This integer typically variates between 0..20 with a normal rate of ~3-4. 

SCL:    Refers to the raw level of skin conductance. The unit is micro siemens (µS) and the value typically varies from 0.2 to 20 µS.

UNIX:   Time in milliseconds starting from date 01.01.1970.

aa:   This value is only needed if phone memory data is used instead of cloud data, i.e. the data dump is taken directly from the smartphone. (Not recommended – the data management need separate instructions. )

The cloud report timestamps

The cloud report timestamps are in GMT0. Add or remove hours from the reports depending on your timezone. (See also lesson Tips: Timestamps in Excel files)

How to double check that the time stamps are correct

If you are unsure, whether the time stamps are correct, you can run a simple test. Wear a ring for a specific time range, e.g. from 9.00 am to 9.10 am. Then sync to data to cloud and take out a report. Verify that the time stamps begin at 9.00. If they begin e.g. at 7.00 am, you need to add two hours to all the reports according to the instruction above.

Remove dates from the year 1970

When rings are taken to use, they might produce some data rows with a time stamp in 1970. This is due to the ring clock getting current time from the phone. This might in the beginning take a few seconds. Before the clock is set, the time stamps appear in 1970. These data rows can be omitted.