Towards a real-time application to reveal entrainment among people

The use of wireless technology and advanced signal processing for personalized healthcare is extremely promising. A relevant application appears to be the field of group dynamics, in which the study of a heart-rate measure, the RR interval time series, can reveal valuable information about individuals, as well as the group as a whole. In this paper, we present the results of computing the wavelet coherence among the RR interval time series of a group of people during a Kundalini yoga meditation session, revealing entrainment among them during specific activities and additional important information, such as patterns of heart rate variability that are common to all members of the group. We propose a novel method to study the connections among people in real time, underlying the bounds in the accuracy as a function of the delay introduced.