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

研究成果: Conference contribution

5 引文 (Scopus)

摘要

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.

原文English
主出版物標題Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010
頁面372-375
頁數4
DOIs
出版狀態Published - 2010 十二月 28
事件6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 - Darmstadt, Germany
持續時間: 2010 十月 152010 十月 17

出版系列

名字Proceedings - 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
國家Germany
城市Darmstadt
期間10-10-1510-10-17

指紋

Frequency domain analysis
Nonlinear analysis
Discriminant analysis
Electrocardiography
Classifiers

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Signal Processing

引用此文

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. 於 Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 (頁 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. 頁 372-375 (Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010).
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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 Wang, {Chi Jen} and Chen, {E. Liang} and Wu, {Chi Keng} and Yang, {Yen Kuang} and Wang, {Jeen Shing} and Chung, {Pau Choo}",
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Chen, CY, Wang, CJ, Chen, EL, Wu, CK, Yang, YK, Wang, JS & Chung, PC 2010, Detecting sustained attention during cognitive work using heart rate variability. 於 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, 頁 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).

研究成果: Conference 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

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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.

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Chen CY, Wang CJ, Chen EL, Wu CK, Yang YK, Wang JS 等. Detecting sustained attention during cognitive work using heart rate variability. 於 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