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Selection method for sensitive characteristic index of persistent attention level

A characteristic index and continuous technology, applied in the field of selection of sensitive characteristic index

Active Publication Date: 2017-07-04
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0003] At present, domestic and foreign research on railway drivers is mainly focused on fatigue, while research on sustained attention level is relatively rare

Method used

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  • Selection method for sensitive characteristic index of persistent attention level
  • Selection method for sensitive characteristic index of persistent attention level
  • Selection method for sensitive characteristic index of persistent attention level

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Embodiment Construction

[0061] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0062] This embodiment provides a method for selecting a sensitivity feature index of a sustained attention level.

[0063] figure 1 It is a schematic flowchart of a method for selecting a sensitivity feature index of a sustained attention level in an embodiment of the present invention. Such as figure 1 As shown, the selection method of the sensitivity feature index of the persistent attention level in the embodiment of the present invention mainly includes the steps as follows:

[0064] Step 11, collecting EEG signals through a plurality of electrodes, recording reaction time parameters corresponding to the EEG signals, and collecting subjective fatigue evaluation data and behavioral performance evaluation data.

[0065] In the technical solution o...

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Abstract

The invention discloses a selection method for a sensitive characteristic index of a persistent attention level. The selection method includes: acquiring an electroencephalogram signal through a plurality of electrodes, recording a reaction time parameter corresponding to the electroencephalogram signal, and acquiring subjective fatigue evaluation data and behavior performance evaluation data; calculating an electroencephalogram entropy parameter according to the acquired electroencephalogram signal; adopting the Kruskal-Wallis detection method and the Relief algorithm to select index sets having the sensitivity different from the persistent attention level respectively; and using an intersection G of the acquired two index sets as the sensitive characteristic index of the persistent attention level. The selection method for the sensitive characteristic index of the persistent attention level can achieve selection of a persistent attention level electroencephalogram e characteristic index sensitive to a bullet train driver.

Description

technical field [0001] The invention relates to a stress detection technology, in particular to a method for selecting a sensitivity characteristic index of a sustained attention level. Background technique [0002] Compared with the conventional train operation mode, the automatic train control system (ATC) is adopted in the EMU, which makes the operation mode of the EMU driver change from the traditional train operation type to the real-time operation control information, vehicle status information, and operating environment information of the EMU. High load, continuous monitoring for a long time. Therefore, the continuous attention level of EMU drivers has become a key factor affecting the reliability of the driver's work. It is very necessary and urgent to select EEG characteristic parameters that are highly sensitive to the level of sustained attention to provide quantitative indicators for the evaluation and identification of the sustained attention level of train dri...

Claims

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Application Information

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IPC IPC(8): A61B5/0476A61B5/18
CPCA61B5/168A61B5/18A61B5/7271A61B5/7275A61B2503/22A61B5/316A61B5/369
Inventor 张骏郭孜政
Owner SOUTHWEST JIAOTONG UNIV
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