Detecting sustained attention during cognitive work using heart rate variability

Cho Yan Chen, Chi-Jen Wang, E. Liang Chen, Chi Keng Wu, Yen-Kuang Yang, Jeen-Shing Wang, Pau-Choo Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Sustained attention is an important requirement when we are doing vigilant works. The detection of whether a worker is in sustained attention stage is important to maintain the safety of the worker. Thus this paper performs classification of sustained attention and non sustained attention phases based on the heart rate variability (HRV). To achieve this purpose several features are derived from time domain, frequency domain and nonlinear analysis from Electrocardiogram (ECG). Then linear discriminant analysis (LDA) with K-nearest neighbor (KNN) is adopted as the classifier. It was found that the proposed method is promising in classifying the sustained attention and non sustained attention with 98% of accuracy.

Original languageEnglish
Title of host publicationProceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010
Pages372-375
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 28
Event6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 - Darmstadt, Germany
Duration: 2010 Oct 152010 Oct 17

Publication series

NameProceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010

Other

Other6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010
CountryGermany
CityDarmstadt
Period10-10-1510-10-17

Fingerprint

Frequency domain analysis
Nonlinear analysis
Discriminant analysis
Electrocardiography
Classifiers

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Signal Processing

Cite this

Chen, C. Y., Wang, C-J., Chen, E. L., Wu, C. K., Yang, Y-K., Wang, J-S., & Chung, P-C. (2010). Detecting sustained attention during cognitive work using heart rate variability. In Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 (pp. 372-375). [5635758] (Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010). https://doi.org/10.1109/IIHMSP.2010.187
Chen, Cho Yan ; Wang, Chi-Jen ; Chen, E. Liang ; Wu, Chi Keng ; Yang, Yen-Kuang ; Wang, Jeen-Shing ; Chung, Pau-Choo. / Detecting sustained attention during cognitive work using heart rate variability. Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010. 2010. pp. 372-375 (Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010).
@inproceedings{f70318745d9544b6ac1e81fc8700c20e,
title = "Detecting sustained attention during cognitive work using heart rate variability",
abstract = "Sustained attention is an important requirement when we are doing vigilant works. The detection of whether a worker is in sustained attention stage is important to maintain the safety of the worker. Thus this paper performs classification of sustained attention and non sustained attention phases based on the heart rate variability (HRV). To achieve this purpose several features are derived from time domain, frequency domain and nonlinear analysis from Electrocardiogram (ECG). Then linear discriminant analysis (LDA) with K-nearest neighbor (KNN) is adopted as the classifier. It was found that the proposed method is promising in classifying the sustained attention and non sustained attention with 98{\%} of accuracy.",
author = "Chen, {Cho Yan} and Chi-Jen Wang and Chen, {E. Liang} and Wu, {Chi Keng} and Yen-Kuang Yang and Jeen-Shing Wang and Pau-Choo Chung",
year = "2010",
month = "12",
day = "28",
doi = "10.1109/IIHMSP.2010.187",
language = "English",
isbn = "9780769542225",
series = "Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010",
pages = "372--375",
booktitle = "Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010",

}

Chen, CY, Wang, C-J, Chen, EL, Wu, CK, Yang, Y-K, Wang, J-S & Chung, P-C 2010, Detecting sustained attention during cognitive work using heart rate variability. in Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010., 5635758, Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010, pp. 372-375, 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010, Darmstadt, Germany, 10-10-15. https://doi.org/10.1109/IIHMSP.2010.187

Detecting sustained attention during cognitive work using heart rate variability. / Chen, Cho Yan; Wang, Chi-Jen; Chen, E. Liang; Wu, Chi Keng; Yang, Yen-Kuang; Wang, Jeen-Shing; Chung, Pau-Choo.

Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010. 2010. p. 372-375 5635758 (Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Detecting sustained attention during cognitive work using heart rate variability

AU - Chen, Cho Yan

AU - Wang, Chi-Jen

AU - Chen, E. Liang

AU - Wu, Chi Keng

AU - Yang, Yen-Kuang

AU - Wang, Jeen-Shing

AU - Chung, Pau-Choo

PY - 2010/12/28

Y1 - 2010/12/28

N2 - Sustained attention is an important requirement when we are doing vigilant works. The detection of whether a worker is in sustained attention stage is important to maintain the safety of the worker. Thus this paper performs classification of sustained attention and non sustained attention phases based on the heart rate variability (HRV). To achieve this purpose several features are derived from time domain, frequency domain and nonlinear analysis from Electrocardiogram (ECG). Then linear discriminant analysis (LDA) with K-nearest neighbor (KNN) is adopted as the classifier. It was found that the proposed method is promising in classifying the sustained attention and non sustained attention with 98% of accuracy.

AB - Sustained attention is an important requirement when we are doing vigilant works. The detection of whether a worker is in sustained attention stage is important to maintain the safety of the worker. Thus this paper performs classification of sustained attention and non sustained attention phases based on the heart rate variability (HRV). To achieve this purpose several features are derived from time domain, frequency domain and nonlinear analysis from Electrocardiogram (ECG). Then linear discriminant analysis (LDA) with K-nearest neighbor (KNN) is adopted as the classifier. It was found that the proposed method is promising in classifying the sustained attention and non sustained attention with 98% of accuracy.

UR - http://www.scopus.com/inward/record.url?scp=78650478163&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78650478163&partnerID=8YFLogxK

U2 - 10.1109/IIHMSP.2010.187

DO - 10.1109/IIHMSP.2010.187

M3 - Conference contribution

SN - 9780769542225

T3 - Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010

SP - 372

EP - 375

BT - Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010

ER -

Chen CY, Wang C-J, Chen EL, Wu CK, Yang Y-K, Wang J-S et al. Detecting sustained attention during cognitive work using heart rate variability. In Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010. 2010. p. 372-375. 5635758. (Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010). https://doi.org/10.1109/IIHMSP.2010.187