Imperial College London

ProfessorDaniloMandic

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Machine Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Chanwimalueang:2016:10.1109/ICASSP.2016.7471788,
author = {Chanwimalueang, T and Aufegger, L and von, Rosenberg W and Mandic, DP},
doi = {10.1109/ICASSP.2016.7471788},
pages = {814--818},
publisher = {IEEE},
title = {Modelling stress in public speaking: evolution of stress levels during conference presentations},
url = {http://dx.doi.org/10.1109/ICASSP.2016.7471788},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - 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 quantitative metrics-sample entropy, LFhrv, HFhrv 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.
AU - Chanwimalueang,T
AU - Aufegger,L
AU - von,Rosenberg W
AU - Mandic,DP
DO - 10.1109/ICASSP.2016.7471788
EP - 818
PB - IEEE
PY - 2016///
SP - 814
TI - Modelling stress in public speaking: evolution of stress levels during conference presentations
UR - http://dx.doi.org/10.1109/ICASSP.2016.7471788
UR - http://hdl.handle.net/10044/1/31174
ER -