Heart Rate Variability and Electrodermal Activity in Mental Stress Aloud: Predicting the Outcome

Rodrigo Lima, Rodrigo Lima, Daniel Osório, Daniel Osório, Hugo Gamboa, Hugo Gamboa, Hugo Gamboa

2019

Abstract

The assessment of changes in the autonomous nervous system (ANS), have important prognostic and diagnostic value, and can be used to assess stress levels. There are many approaches to directly measure the sympathetic and parasympathetic nervous system, although, most of them are invasive and unable to provide continuous monitoring. Heart rate variability (HRV) and Electrodermal activity (EDA) are noninvasive methods to assess the autonomous nervous system, by computing the spectral analysis of both HRV and EDA biosignals. In order to provide continuous monitoring, a wearable device is used, obtaining HRV features with photoplethysmography signals from the wrist and EDA from the fingers. The extraction of the HRV and EDA features, were obtained by submitting the subjects to a mental arithmetic stress test. The distinct response to stress was then classified using machine-learning techniques. The constructed models have the ability to predict how the subjects will respond, with an accuracy of approximately 80% in terms of HRV features in baseline and an accuracy of approximately 77% in terms of HRV and EDA simultaneous baseline features, when submitted to a situation of stress.

Paper Citation

in Harvard Style

Lima R., Osório D. and Gamboa H. (2019). Heart Rate Variability and Electrodermal Activity in Mental Stress Aloud: Predicting the Outcome. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS; ISBN 978-989-758-353-7, SciTePress, pages 42-51. DOI: 10.5220/0007355200420051

in Bibtex Style

@conference{biosignals19,
author={Rodrigo Lima and Daniel Osório and Hugo Gamboa},
title={Heart Rate Variability and Electrodermal Activity in Mental Stress Aloud: Predicting the Outcome},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS},
year={2019},
pages={42-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007355200420051},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS
TI - Heart Rate Variability and Electrodermal Activity in Mental Stress Aloud: Predicting the Outcome
SN - 978-989-758-353-7
AU - Lima R.
AU - Osório D.
AU - Gamboa H.
PY - 2019
SP - 42
EP - 51
DO - 10.5220/0007355200420051
PB - SciTePress