Modelling stress in public speaking: Evolution of stress levels during conference presentations

Theerasak Chanwimalueang, Lisa Aufegger, Wilhelm von Rosenberg, Danilo P. Mandic
2016 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
The Electrocardiogram (ECG) collected in real-life scenarios is often noisy and contaminated with motion artefacts. This study proposes a new framework to analyse the heart rate variability (HRV) in mobile scenarios by introducing novel R-peak detection and HRV detrending algorithms. The R-peak detection combines matched filtering and Hilbert transform, while detrending the HRV is performed using empirical mode decomposition with novel physically meaningful stopping criteria. Next, four
more » ... tive metricssample entropy, LF HRV , HF HRV and LF/HF ratio -are used to estimate stress levels in two public speaking events: (i) a presentation in front of an audience and (ii) an interactive poster presentation, both at ICASSP 2015. We show that the proposed framework makes it possible to detect distinctive 'stress-patterns' in the structural complexity of the HRV, thus verifying the complexity-loss hypothesis in physiological research.
doi:10.1109/icassp.2016.7471788 dblp:conf/icassp/ChanwimalueangA16 fatcat:ng4l62zdpzczpoiissid3grxg4