Purpose: This proof-of-concept study aimed to develop and evaluate the feasibility and preliminary efficiency of a methodology to measure the mindfulness state using a wearable device (“Cap”) capable of monitoring students’ levels of full attention by means of real-time measured heart rate variability (HRV).
Methods: The device was developed to export the data to the user’s cell phone via Bluetooth, which in turn stores the securely accessible data in the cloud. The autonomous wearable device consists of electronic boards of the Arduino platform that, in addition to the HRV, detect the heartbeat, the external temperature of the skull surface, and head/neck movements.
Results: Preliminary statistical data using rMSSD (root mean squared successive differences), the Poincare map, the Toronto Mindfulness Scale, the Mindful Attention Awareness Scale (MAAS) and the Philadelphia Mindfulness Scale (PMS) show that increased HRV values converge to high values for the mindfulness state when the time difference between R and RN+1 sample is greater than 88 ms.
Conclusion: The device proved to be viable and potentially effective for measuring the state of mindfulness. Thus, further studies should be conducted to test it on a large scale as well as in real classroom situations.