Can potentials of unbalanced complex kinetics of heart rate variability estimate drowsiness?

Tomohiko Igasaki; Takamasa Morie; Mitaku Utsunomiya; Izzat Aulia Akbar; Arthur Mourits Rumagit

doi:10.1109/BMEiCON.2017.8229140

Can potentials of unbalanced complex kinetics of heart rate variability estimate drowsiness?

Tomohiko Igasaki
, Takamasa Morie
, Mitaku Utsunomiya
, Izzat Aulia Akbar
, Arthur Mourits Rumagit

Kumamoto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Several investigations have shown that most traffic accidents are due to drowsy driving. Much research has been carried out to address this issue. The authors of one study were able to measure the drivers' heart rate variability and estimate their drowsiness. In this study, we investigated the relationship between the drowsiness and physiological condition of the drive in the driving simulator environment by quantifying autonomic nervous system activity using 'potentials of unbalanced complex kinetics' (PUCK) analysis of heart rate variability and conventional frequency-domain analysis using the Karolinska sleepiness scale (KSS). Both frequency-domain and PUCK parameter values had significant statistical differences for almost all subjects in relation to drowsiness: no drowsiness (mean KSS scores < 5.5), light drowsiness (KSS scores > 5.5 and < 7.5), and heavy drowsiness (>7.5). Furthermore, the classification ability of PUCK analysis was superior to that of frequency-domain analysis. Therefore, PUCK analysis of heart rate variability may be useful for assessing drowsiness while driving.

Original language	English
Title of host publication	BMEiCON 2017 - 10th Biomedical Engineering International Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538608821
DOIs	https://doi.org/10.1109/BMEiCON.2017.8229140
Publication status	Published - 19 Dec 2017
Externally published	Yes
Event	10th Biomedical Engineering International Conference, BMEiCON 2017 - Hokkaido, Japan Duration: 31 Aug 2017 → 2 Sept 2017

Publication series

Name	BMEiCON 2017 - 10th Biomedical Engineering International Conference
Volume	2017-January

Conference

Conference	10th Biomedical Engineering International Conference, BMEiCON 2017
Country/Territory	Japan
City	Hokkaido
Period	31/08/17 → 2/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Drowsiness
Karolinska sleepiness scale (KSS)
driving simulator
heart rate variability
potentials of unbalanced complex kinetics (PUCK)

Access to Document

10.1109/BMEiCON.2017.8229140

Cite this

Igasaki, T., Morie, T., Utsunomiya, M., Akbar, I. A., & Rumagit, A. M. (2017). Can potentials of unbalanced complex kinetics of heart rate variability estimate drowsiness? In BMEiCON 2017 - 10th Biomedical Engineering International Conference (pp. 1-5). (BMEiCON 2017 - 10th Biomedical Engineering International Conference; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BMEiCON.2017.8229140

@inproceedings{cf154329432241dea45528f28b56978c,

title = "Can potentials of unbalanced complex kinetics of heart rate variability estimate drowsiness?",

abstract = "Several investigations have shown that most traffic accidents are due to drowsy driving. Much research has been carried out to address this issue. The authors of one study were able to measure the drivers' heart rate variability and estimate their drowsiness. In this study, we investigated the relationship between the drowsiness and physiological condition of the drive in the driving simulator environment by quantifying autonomic nervous system activity using 'potentials of unbalanced complex kinetics' (PUCK) analysis of heart rate variability and conventional frequency-domain analysis using the Karolinska sleepiness scale (KSS). Both frequency-domain and PUCK parameter values had significant statistical differences for almost all subjects in relation to drowsiness: no drowsiness (mean KSS scores < 5.5), light drowsiness (KSS scores > 5.5 and < 7.5), and heavy drowsiness (>7.5). Furthermore, the classification ability of PUCK analysis was superior to that of frequency-domain analysis. Therefore, PUCK analysis of heart rate variability may be useful for assessing drowsiness while driving.",

keywords = "Drowsiness, Karolinska sleepiness scale (KSS), driving simulator, heart rate variability, potentials of unbalanced complex kinetics (PUCK)",

author = "Tomohiko Igasaki and Takamasa Morie and Mitaku Utsunomiya and Akbar, \{Izzat Aulia\} and Rumagit, \{Arthur Mourits\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 10th Biomedical Engineering International Conference, BMEiCON 2017 ; Conference date: 31-08-2017 Through 02-09-2017",

year = "2017",

month = dec,

day = "19",

doi = "10.1109/BMEiCON.2017.8229140",

language = "English",

series = "BMEiCON 2017 - 10th Biomedical Engineering International Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--5",

booktitle = "BMEiCON 2017 - 10th Biomedical Engineering International Conference",

address = "United States",

}

Igasaki, T, Morie, T, Utsunomiya, M, Akbar, IA & Rumagit, AM 2017, Can potentials of unbalanced complex kinetics of heart rate variability estimate drowsiness? in BMEiCON 2017 - 10th Biomedical Engineering International Conference. BMEiCON 2017 - 10th Biomedical Engineering International Conference, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 10th Biomedical Engineering International Conference, BMEiCON 2017, Hokkaido, Japan, 31/08/17. https://doi.org/10.1109/BMEiCON.2017.8229140

Can potentials of unbalanced complex kinetics of heart rate variability estimate drowsiness? / Igasaki, Tomohiko; Morie, Takamasa; Utsunomiya, Mitaku et al.
BMEiCON 2017 - 10th Biomedical Engineering International Conference. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (BMEiCON 2017 - 10th Biomedical Engineering International Conference; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review