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Heart Rate Variability and Electrodermal Activity Biosignal Processing: Predicting the Autonomous Nervous System Response in Mental Stress

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Biomedical Engineering Systems and Technologies (BIOSTEC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1211))

Abstract

The study of the autonomous nervous system (ANS) has played an important role, over the last years, in prognostic and diagnostic of cardiac diseases, as well as, in the assessment of psychological stress. The most common techniques to evalute the balance of the ANS are invasive and unable to provide a continuous monitoring of the patients. The advances in technology and the development of wearable sensors have provided new alternative methods to study the ANS. The analysis of Heart Rate Variability (HRV) and Electrodermal Activity (EDA) are nonivasive methods to assess the ANS with wearables devices. The wearable device used provides information about HRV with the acquisition of photoplethysmography signals from the wrist and EDA from the fingers. The processing of the biosignals was performed by submitting the participants to a mental arithmetic stress test. The results showed that the participants exhibited two distinct response during stress - “Flight or Fight”. These responses were classified using machine-learning techniques. The constructed models were able to predict how the subjects will respond in a situation of stress, based only on baseline features. The accuracy of the models using only HRV baseline features was of approximately 80% and the accuracy using simultaneously HRV and EDA baseline features was of 77%, when assigning the correct response during stress to the participant.

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Author information

Authors and Affiliations

  1. Plux-Wireless Biosignals S.A, Avenida 5 de Outubro 70, 1050-59, Lisbon, Portugal

    Rodrigo Lima, Daniel Osório & Hugo Gamboa

  2. Department of Physics, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Monte de Caparica, 2892-516, Caparica, Portugal

    Rodrigo Lima & Hugo Gamboa

  3. Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Monte de Caparica, 2892-516, Caparica, Portugal

    Daniel Osório & Hugo Gamboa

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  1. Rodrigo Lima
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Correspondence to Rodrigo Lima .

Editor information

Editors and Affiliations

  1. Universidade Nova de Lisboa, Caparica, Portugal

    Ana Roque

  2. Lodz University of Technology, Łódź, Poland

    Arkadiusz Tomczyk

  3. Nice Sophia Antipolis University, Nice Cedex 2, France

    Elisabetta De Maria

  4. University of Bremen, Bremen, Germany

    Felix Putze

  5. University of West Bohemia, Pilsen, Czech Republic

    Roman Moucek

  6. Instituto de Telecomunicações, University of Lisbon, Lisbon, Portugal

    Ana Fred

  7. Universidade Nova de Lisboa, Caparica, Portugal

    Hugo Gamboa

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Lima, R., Osório, D., Gamboa, H. (2020). Heart Rate Variability and Electrodermal Activity Biosignal Processing: Predicting the Autonomous Nervous System Response in Mental Stress. In: Roque, A., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2019. Communications in Computer and Information Science, vol 1211. Springer, Cham. https://doi.org/10.1007/978-3-030-46970-2_16

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  • DOI: https://doi.org/10.1007/978-3-030-46970-2_16

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