Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement
Agricultural workers suffer from various physical problems and mental stress, including depression and insomnia. Various factors affect brain stress, including harsh agricultural working conditions. Further brain stress may also be due to changes in working conditions such as temperature, noise, and...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/9/1801 |
| _version_ | 1797581714000707584 |
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| author | Seok-Joon Hwang Ju-Seok Nam |
| author_facet | Seok-Joon Hwang Ju-Seok Nam |
| author_sort | Seok-Joon Hwang |
| collection | DOAJ |
| description | Agricultural workers suffer from various physical problems and mental stress, including depression and insomnia. Various factors affect brain stress, including harsh agricultural working conditions. Further brain stress may also be due to changes in working conditions such as temperature, noise, and vibration. This study aimed to determine the brain stress in response to ambient temperature changes under agricultural work using agricultural machinery. The electroencephalograms (EEGs) of 17 agricultural workers who work using various agricultural machines was measured and analyzed. The EEG was measured for 3 min at the inactive and active state of agricultural work, respectively, at 24 °C, 28 °C, and 32 °C. The EEG was analyzed using the stress indices such as spectral edge frequency 95% (SEF95%), relative gamma power (RGP), and EEG-based working index (EWI). The EEG analysis indicated that brain stress was generated when the subjects performed the agricultural work after an inactive state. Additionally, as the temperature increased to ≥24 °C, the brain regions where SEF95%, RGP, and EWI exhibited an increase were identified. The findings of this study can be used as basic data in determining the working stress in agricultural workers during work as the ambient temperature changes from 24 °C to 32 °C. |
| first_indexed | 2024-03-10T23:08:32Z |
| format | Article |
| id | doaj.art-6de17afdf34a40f7822d6a9551a5c2b5 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T23:08:32Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-6de17afdf34a40f7822d6a9551a5c2b52023-11-19T09:07:29ZengMDPI AGAgriculture2077-04722023-09-01139180110.3390/agriculture13091801Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram MeasurementSeok-Joon Hwang0Ju-Seok Nam1Department of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of KoreaDepartment of Biosystems Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Gangwon-do, Republic of KoreaAgricultural workers suffer from various physical problems and mental stress, including depression and insomnia. Various factors affect brain stress, including harsh agricultural working conditions. Further brain stress may also be due to changes in working conditions such as temperature, noise, and vibration. This study aimed to determine the brain stress in response to ambient temperature changes under agricultural work using agricultural machinery. The electroencephalograms (EEGs) of 17 agricultural workers who work using various agricultural machines was measured and analyzed. The EEG was measured for 3 min at the inactive and active state of agricultural work, respectively, at 24 °C, 28 °C, and 32 °C. The EEG was analyzed using the stress indices such as spectral edge frequency 95% (SEF95%), relative gamma power (RGP), and EEG-based working index (EWI). The EEG analysis indicated that brain stress was generated when the subjects performed the agricultural work after an inactive state. Additionally, as the temperature increased to ≥24 °C, the brain regions where SEF95%, RGP, and EWI exhibited an increase were identified. The findings of this study can be used as basic data in determining the working stress in agricultural workers during work as the ambient temperature changes from 24 °C to 32 °C.https://www.mdpi.com/2077-0472/13/9/1801agricultural machineryelectroencephalogramstresstemperature |
| spellingShingle | Seok-Joon Hwang Ju-Seok Nam Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement Agriculture agricultural machinery electroencephalogram stress temperature |
| title | Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement |
| title_full | Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement |
| title_fullStr | Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement |
| title_full_unstemmed | Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement |
| title_short | Analysis of Brain Stress in Response to Temperature Changes under Agricultural Work Using Electroencephalogram Measurement |
| title_sort | analysis of brain stress in response to temperature changes under agricultural work using electroencephalogram measurement |
| topic | agricultural machinery electroencephalogram stress temperature |
| url | https://www.mdpi.com/2077-0472/13/9/1801 |
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