January 17, 2023
An article titled “Photoplethysmograph Based Biofeedback for Stress Reduction under Real-Life Conditions in Healthcare Frontline” written by Emese Rudics, Ádám Nagy, József Dombi, Emőke Adrienn Hompoth, Zoltán Szabó, Rózsa Horváth, Mária Balogh, András Lovas, Vilmos Bilicki, and István Szendi has been accepted into the open access Q2 scientific journal Applied Sciences (impact factor: 2.838).
The topic of the paper is stress reduction through biofeedback training among healthcare workers. The app developed by the team can collect data on HRV (heart rate variability, which is the best-known basis for biofeedback training) and then uses visual feedback to help the subject reach this resonance frequency, which, if maintained, can significantly reduce stress.
This paper is the pilot study in which the authors discuss the method used to select participants, the development and operation of the protocol and algorithm, and the analysis of the results obtained. This work provides a basis for further investigation and development of the methodology and its widespread use to effectively reduce workplace stress.
The article can be read on MDPI’s website.