Case Study of Interrelation between Brain-Computer Interface based Multimodal Metric and Heart Rate Variability

V. Vasilyev, V. Borisov, A. Syskov, V. Kublanov

Abstract

The Brain-Computer Interface (BCI) can be used for evaluation of the state of individuals during everyday routines. As shown in previous works, there is a relationship between the BCI multimodal metric with functional states of human. We have used power of Theta, Alpha, Beta low and Beta high electroencephalography rhythms and head motion data signals for multimodal metric. Heart Rate Variability (HRV) is common medical method for functional state assessment. In this paper the results of interrelation estimation between multimodal metric and HRV are shown. We used Pearson correlation coefficient (PCC) for estimates of interrelation between multimodal metric and HRV. It was found, the best results for estimates of parasympathetic part of the autonomic nervous system and suprasegmental regulation HRV have value of PCC more then critical value for Pearson correlation.

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Paper Citation


in Harvard Style

Vasilyev V., Borisov V., Syskov A. and Kublanov V. (2019). Case Study of Interrelation between Brain-Computer Interface based Multimodal Metric and Heart Rate Variability.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: RAIDERS, ISBN 978-989-758-353-7, pages 532-538. DOI: 10.5220/0007694505320538


in Bibtex Style

@conference{raiders19,
author={V. Vasilyev and V. Borisov and A. Syskov and V. Kublanov},
title={Case Study of Interrelation between Brain-Computer Interface based Multimodal Metric and Heart Rate Variability},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: RAIDERS,},
year={2019},
pages={532-538},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007694505320538},
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 - Volume 5: RAIDERS,
TI - Case Study of Interrelation between Brain-Computer Interface based Multimodal Metric and Heart Rate Variability
SN - 978-989-758-353-7
AU - Vasilyev V.
AU - Borisov V.
AU - Syskov A.
AU - Kublanov V.
PY - 2019
SP - 532
EP - 538
DO - 10.5220/0007694505320538