Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR dataset
The prevalence of mental fatigue is a noteworthy phenomenon that can affect individuals across diverse professions and working routines. This paper provides a comprehensive dataset of physiological signals obtained from 23 participants during their professional work and questionnaires to analyze men...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923009411 |
| _version_ | 1797317157279760384 |
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| author | Seyma Derdiyok Fatma Patlar Akbulut Cagatay Catal |
| author_facet | Seyma Derdiyok Fatma Patlar Akbulut Cagatay Catal |
| author_sort | Seyma Derdiyok |
| collection | DOAJ |
| description | The prevalence of mental fatigue is a noteworthy phenomenon that can affect individuals across diverse professions and working routines. This paper provides a comprehensive dataset of physiological signals obtained from 23 participants during their professional work and questionnaires to analyze mental fatigue. The questionnaires included demographic information and Chalder Fatigue Scale scores indicating mental and physical fatigue. Both physiological signal measurements and the Chalder Fatigue Scale were performed in two sessions, morning and evening. The present dataset encompasses diverse physiological signals, including electroencephalogram (EEG), blood volume pulse (BVP), electrodermal activity (EDA), heart rate (HR), skin temperature (TEMP), and 3-axis accelerometer (ACC) data. The NeuroSky MindWave EEG device was used for brain signals, and the Empatica E4 smart wristband was used for other signals. Measurements were carried out on individuals from four different occupational groups, such as academicians, technicians, computer engineers, and kitchen workers. The provision of comprehensive metadata supplements the dataset, thereby promoting inquiries about the neurophysiological concomitants of mental fatigue, autonomic activity patterns, and the repercussions of a cognitive burden on human proficiency in actual workplace settings. The accessibility of the aforementioned dataset serves to facilitate progress in the field of mental fatigue research while also laying the groundwork for the creation of customized fatigue evaluation techniques and interventions in diverse professional domains. |
| first_indexed | 2024-03-08T03:30:50Z |
| format | Article |
| id | doaj.art-efce283d556d41998b6d457bf95bb5a9 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:30:50Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-efce283d556d41998b6d457bf95bb5a92024-02-11T05:10:28ZengElsevierData in Brief2352-34092024-02-0152109896Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR datasetSeyma Derdiyok0Fatma Patlar Akbulut1Cagatay Catal2Department of Computer Engineering, Yıldız Technical University, Istanbul, TurkeyDepartment of Software Engineering, Istanbul Kültür University, Istanbul, TurkeyDepartment of Computer Science and Engineering, Qatar University, Doha, Qatar; Corresponding author.The prevalence of mental fatigue is a noteworthy phenomenon that can affect individuals across diverse professions and working routines. This paper provides a comprehensive dataset of physiological signals obtained from 23 participants during their professional work and questionnaires to analyze mental fatigue. The questionnaires included demographic information and Chalder Fatigue Scale scores indicating mental and physical fatigue. Both physiological signal measurements and the Chalder Fatigue Scale were performed in two sessions, morning and evening. The present dataset encompasses diverse physiological signals, including electroencephalogram (EEG), blood volume pulse (BVP), electrodermal activity (EDA), heart rate (HR), skin temperature (TEMP), and 3-axis accelerometer (ACC) data. The NeuroSky MindWave EEG device was used for brain signals, and the Empatica E4 smart wristband was used for other signals. Measurements were carried out on individuals from four different occupational groups, such as academicians, technicians, computer engineers, and kitchen workers. The provision of comprehensive metadata supplements the dataset, thereby promoting inquiries about the neurophysiological concomitants of mental fatigue, autonomic activity patterns, and the repercussions of a cognitive burden on human proficiency in actual workplace settings. The accessibility of the aforementioned dataset serves to facilitate progress in the field of mental fatigue research while also laying the groundwork for the creation of customized fatigue evaluation techniques and interventions in diverse professional domains.http://www.sciencedirect.com/science/article/pii/S2352340923009411Physiological signalsMental workloadHuman mental performanceCognitive fatigue |
| spellingShingle | Seyma Derdiyok Fatma Patlar Akbulut Cagatay Catal Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR dataset Data in Brief Physiological signals Mental workload Human mental performance Cognitive fatigue |
| title | Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR dataset |
| title_full | Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR dataset |
| title_fullStr | Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR dataset |
| title_full_unstemmed | Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR dataset |
| title_short | Neurophysiological and biosignal data for investigating occupational mental fatigue: MEFAR dataset |
| title_sort | neurophysiological and biosignal data for investigating occupational mental fatigue mefar dataset |
| topic | Physiological signals Mental workload Human mental performance Cognitive fatigue |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923009411 |
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