To download your client's data, go to their profile and click on "More" and then "Download Sessions Data as CSV" found on the left-hand side.
Preparing the data for download will take a while for some users, so please be patient.
The CSV will show the data for all the rounds done so far, and will include the following columns:
Session number
Round number
Timestamp (the date and time for when the round was started)
Duration (in seconds)
Protocol used in that specific round
Training channel used for that round
Reference channel used for that round
Game type used for that round
Score of that round
Deep zone percentage in that round
Zone percentage in that round
Average streak (seconds) in that round
Max streak (seconds) in that round
Total success rate (%) calculated for that round
Processing version used in that round: this can be either Bandpass, FFT, or ScaledFFT. More information about this can be found at the end of this article.
[Frequency name]_[inhibit/reward]: If the specific frequency shown as part of the column name was used in that round, then you'll see an indication to whether it was rewarded or inhibited
[Frequency name]_avg_amplitude: If the specific frequency shown as part of the column name was used in that round, then you'll see its average amplitude below this column. Otherwise, if it wasn't used in that round, it will show an empty entry.
[Frequency name]_standard_deviation: If the specific frequency shown as part of the column name was used in that round, then you'll see its amplitude's standard deviation during the round below this column. Otherwise, if it wasn't used in that round, it will show an empty entry.
[Frequency name]_avg_threshold: If the specific frequency shown as part of the column name was used in that round, then you'll see its average threshold set in the training below this column. Otherwise, if it wasn't used in that round, it will show an empty entry.
Each additional frequency used will show as a new set of columns indicating its inhibit/reward, average amplitude, standard deviation, and average threshold, as explained above.
Processing version:
The reason why the CSV informs you about the processing version used in the round is due to the fact that up until recently, the signal processing methods used for iOS were different from those used for Android.
Bandpass signal processing has been used in all Android devices before version number 2.1.0.0.
FFT signal processing is used in all iOS devices.
It will also be the main signal processing method used for Android users who have not done any sessions on Android versions prior to 3.0.0.8.
ScaledFFT will be used for users who have completed at least one session on Android versions prior to 3.0.0.8.
For example, if user Joe Doe has been training on Android until now, and then upgrades to version 3.0.0.8 and above, you will see in the CSV that the processing version used for him used to be Bandpass, and then switched to ScaledFFT.
If Joe Doe is new and has not had any sessions on Myndlift's Android version beforehand, they'll be training with the FFT signal processing version, and that's what will be reflected in the CSV.
The reason why we are switching to real-time FFT instead of Bandpass is to improve the training experience and make it less prone to artifacts.