Novel mobile applications allow us to measure physiology outside in the field, in the 'wild' as scientists would call it. The reason for using the 'wild' pronoun is because the recording enviroment is not heavily controlled, as it would be in a regular research laboratory setting. Nevertheless, it allows for a daily physiological measurement in a more natural environment, compared to white coats and notepads.
Regardless of the environment setting, the daily physiological measurement using mobile applications at home clearly supports what the research has already validated.
Looking at the data from the Brainjam app users (Jamzone), we can imidiately recognize the pattern.
That the age is a stronger factor for the HRV than gender is. More specifically, older individuals have a lower HRV compared to younger ones .
Furthermore, the difference between genders disappeared in the final age decades, whereas the difference between ages disappeared only in the final age decade. Note that the frequency domain and correlation analyses still show differences for gender, and most certainly for age .
Now that we know and have observed that age is a significant factor for the RMSSD (HRV), we can drop gender factor all together and plot a unified RMSS graph acros the population age.