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Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape
This study proposes an integrated approach to assess the psychological and physiological responses of people in natural seasonal landscapes. The questionnaire of restoration outcomes scale (ROS), willingness to visit (WTV), cultural ecosystem services (CES) cognitive classification, and the neurosci...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8395011/ https://www.ncbi.nlm.nih.gov/pubmed/34444271 http://dx.doi.org/10.3390/ijerph18168522 |
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author | Wang, Yuting Xu, Ming |
author_facet | Wang, Yuting Xu, Ming |
author_sort | Wang, Yuting |
collection | PubMed |
description | This study proposes an integrated approach to assess the psychological and physiological responses of people in natural seasonal landscapes. The questionnaire of restoration outcomes scale (ROS), willingness to visit (WTV), cultural ecosystem services (CES) cognitive classification, and the neuroscientific technique based on electroencephalogram (EEG) measurements were applied. The effects of different landscapes on human perception were studied by comparing the EEG data of different landscape types and different seasons. The coupling relationship between EEG data and stress recovery was also examined. The results showed the following: First, there was a significant difference between the winter landscape and the summer natural landscape. Second, only the winter landscape showed significant gender differences. Third, the values of ROS and WTV in the summer landscape were greater than those in the winter landscape. Fourth, the number of CES in the summer landscape was significantly higher than that in the winter landscape, and the number of CES in water was higher than that in the forest and grassland. Thus, brain wave data and quantified values from questionnaires including ROS, WTV, and CES showed significant seasonality. Therefore, an EEG can be used as a new, more objective tool and method for landscape evaluation and planning in the future. |
format | Online Article Text |
id | pubmed-8395011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83950112021-08-28 Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape Wang, Yuting Xu, Ming Int J Environ Res Public Health Article This study proposes an integrated approach to assess the psychological and physiological responses of people in natural seasonal landscapes. The questionnaire of restoration outcomes scale (ROS), willingness to visit (WTV), cultural ecosystem services (CES) cognitive classification, and the neuroscientific technique based on electroencephalogram (EEG) measurements were applied. The effects of different landscapes on human perception were studied by comparing the EEG data of different landscape types and different seasons. The coupling relationship between EEG data and stress recovery was also examined. The results showed the following: First, there was a significant difference between the winter landscape and the summer natural landscape. Second, only the winter landscape showed significant gender differences. Third, the values of ROS and WTV in the summer landscape were greater than those in the winter landscape. Fourth, the number of CES in the summer landscape was significantly higher than that in the winter landscape, and the number of CES in water was higher than that in the forest and grassland. Thus, brain wave data and quantified values from questionnaires including ROS, WTV, and CES showed significant seasonality. Therefore, an EEG can be used as a new, more objective tool and method for landscape evaluation and planning in the future. MDPI 2021-08-12 /pmc/articles/PMC8395011/ /pubmed/34444271 http://dx.doi.org/10.3390/ijerph18168522 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Yuting Xu, Ming Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape |
title | Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape |
title_full | Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape |
title_fullStr | Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape |
title_full_unstemmed | Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape |
title_short | Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape |
title_sort | electroencephalogram application for the analysis of stress relief in the seasonal landscape |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8395011/ https://www.ncbi.nlm.nih.gov/pubmed/34444271 http://dx.doi.org/10.3390/ijerph18168522 |
work_keys_str_mv | AT wangyuting electroencephalogramapplicationfortheanalysisofstressreliefintheseasonallandscape AT xuming electroencephalogramapplicationfortheanalysisofstressreliefintheseasonallandscape |