System Development & Application
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
2093-2097,2103

Detection of mental fatigue with wearable ECG devices based on HRV analysis

Huang Shitong
Zhang Weiqiang
Zhang Pengzhu
Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0262

Abstract

Mental fatigue is a key cause of many chronic diseases such as CVD, diabetes and cancer. It is illusive and hard to measure or detect. This research proposed a feasible accurate and cost saving method to detect fatigue level of mental workers via smart wearable devices. In order to detect mental fatigue level, this paper firstly extracted HRV features, then used Man-Whitney U test to evaluate the statistical significances of HRV features between normal and fatigue state. This paper used random forest for feature selection to determine the importance of HRV features. The most important HRV features were NN. mean, PNN50, VLF, LF and TP respectively. This paper then took four machine learning algorithms on selected features to predict the state of mental fatigue. The experiments demonstrate the effectiveness of KNN classifier with 75.5% accuracy rate on cross validation and 0.74 AUC.

Foundation Support

国家自然科学基金资助项目(91646205,71421002)
上海交通大学中央高校基本科研业务费资助项目(16JCCS08)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0262
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: System Development & Application
Pages: 2093-2097,2103
Serial Number: 1001-3695(2019)07-038-2093-05

Publish History

[2019-07-05] Printed Article

Cite This Article

黄诗童, 张威强, 张朋柱. 基于HRV分析的可穿戴心电仪精神疲劳检测 [J]. 计算机应用研究, 2019, 36 (7): 2093-2097,2103. (Huang Shitong, Zhang Weiqiang, Zhang Pengzhu. Detection of mental fatigue with wearable ECG devices based on HRV analysis [J]. Application Research of Computers, 2019, 36 (7): 2093-2097,2103. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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