Fatigue detection early warning method and device, equipment and storage medium
The invention discloses a fatigue detection early warning method and device, equipment and a storage medium. The method comprises the following steps: acquiring a current brain wave data set; wherein the current brain wave data set is a set of brain wave fragments obtained by a preset number of roll...
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| creator | WANG YINAN WANG DI WEI YUANBO LIU HANXU |
| description | The invention discloses a fatigue detection early warning method and device, equipment and a storage medium. The method comprises the following steps: acquiring a current brain wave data set; wherein the current brain wave data set is a set of brain wave fragments obtained by a preset number of rolling time windows according to a time sequence, and the last brain wave fragment in the current brain wave data set is a brain wave fragment collected at the current moment; performing type division on each brain wave segment in the current brain wave data set, and determining a brain wave segment type set corresponding to the current brain wave data set; and determining a short-time brain fatigue state according to the brain wave fragment type set, and performing short-time fatigue alarm according to the short-time brain fatigue state. According to the technical scheme provided by the embodiment of the invention, the analysis time difference is reduced, the timeliness and accuracy of fatigue alarm are improved, the |
| format | Patent |
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The method comprises the following steps: acquiring a current brain wave data set; wherein the current brain wave data set is a set of brain wave fragments obtained by a preset number of rolling time windows according to a time sequence, and the last brain wave fragment in the current brain wave data set is a brain wave fragment collected at the current moment; performing type division on each brain wave segment in the current brain wave data set, and determining a brain wave segment type set corresponding to the current brain wave data set; and determining a short-time brain fatigue state according to the brain wave fragment type set, and performing short-time fatigue alarm according to the short-time brain fatigue state. 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The method comprises the following steps: acquiring a current brain wave data set; wherein the current brain wave data set is a set of brain wave fragments obtained by a preset number of rolling time windows according to a time sequence, and the last brain wave fragment in the current brain wave data set is a brain wave fragment collected at the current moment; performing type division on each brain wave segment in the current brain wave data set, and determining a brain wave segment type set corresponding to the current brain wave data set; and determining a short-time brain fatigue state according to the brain wave fragment type set, and performing short-time fatigue alarm according to the short-time brain fatigue state. According to the technical scheme provided by the embodiment of the invention, the analysis time difference is reduced, the timeliness and accuracy of fatigue alarm are improved, the</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DIAGNOSIS ELECTRIC DIGITAL DATA PROCESSING HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | Fatigue detection early warning method and device, equipment and storage medium |
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