Journals / ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE / 2019 / Cilt: 7 - Sayı: 3

Assessment of Electrophysiological Findings during Mental Workload in the Effect of Physical Performance

Fiziksel Performans Etkisinde Mental Aktivitenin Elektrofizyolojik Bulgularının Değerlendirilmesi

Pages
389–397
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to these preliminary results, it can be predicted that the athlete group is less affected by mental workload despite being more focused and physically tired.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The present study examines the findings of electrophysiological measurements of two groups related to the correlation of the mental workload paradigm to tiredness.
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Key Findings & Data:The aim here is to investigate the findings of the resting state brain network and the electrophysiologic measurements during mental performance of these groups and the changes and variations related to these findings.
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Conclusion & Impact:According to these preliminary results, it can be predicted that the athlete group is less affected by mental workload despite being more focused and physically tired.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The present study examines the findings of electrophysiological measurements of two groups related to the correlation of the mental workload paradigm to tiredness. Athletes and non-athletes (sedentary) are investigated as discrete groups. The aim here is to investigate the findings of the resting state brain network and the electrophysiologic measurements during mental performance of these groups and the changes and variations related to these findings. Mental workload is achieved via mental arithmetic backward counting, while aerobic capacity VO2max, EEG, PPG, EDA and ECG are being measured simultaneously, before and after physical performance. The study also discusses the oxygen consumption rate and the heart rate variability (HRV) between the resting state mental performance and the mental workload occurred after physical activity of varying groups. Thus, findings on the investigation of the effects of physical tiredness on the mental workload of the subjects from two different groups, can be summarized as follows: Increase in the alpha suppression and electrodermal activity during mental work performance has been detected. The heart rate variability data has been investigated with nonparametric statistical test. Statistical test results of resting state for eye closed paradigm for frequency range of 0.15–0.4 Hz are determined as statistically significant (p<0.05). Alpha frequency suppression is detected as a result for brain electrical activity analysis which are in agreement with literature. The EEG alpha activity detected while mental performance reflects more suppression than the eyes closed resting state alpha activity. To conclude, EEG alpha suppression is caused by mental arithmetic workload in volunteers with controlled physical performance, and the alpha suppression within sportsmen group is less, where the suppression of alpha activity obtained in sportsmen EEG is more explicit than in sedentary. Assessing the PPG signals results less variation in sportsmen. Results specify that PPG signals of sportsmen group represent less variances than PPG data of sedentary group. Also another finding specifies, that PPG signals within group may vary like in sportsmen group. According to these preliminary results, it can be predicted that the athlete group is less affected by mental workload despite being more focused and physically tired.

Özet

The present study examines the findings of electrophysiological measurements of two groups related to the correlation of the mental workload paradigm to tiredness. Athletes and non-athletes (sedentary) are investigated as discrete groups. The aim here is to investigate the findings of the resting state brain network and the electrophysiologic measurements during mental performance of these groups and the changes and variations related to these findings. Mental workload is achieved via mental arithmetic backward counting, while aerobic capacity VO2max, EEG, PPG, EDA and ECG are being measured simultaneously, before and after physical performance. The study also discusses the oxygen consumption rate and the heart rate variability (HRV) between the resting state mental performance and the mental workload occurred after physical activity of varying groups. Thus, findings on the investigation of the effects of physical tiredness on the mental workload of the subjects from two different groups, can be summarized as follows: Increase in the alpha suppression and electrodermal activity during mental work performance has been detected. The heart rate variability data has been investigated with nonparametric statistical test. Statistical test results of resting state for eye closed paradigm for frequency range of 0.15–0.4 Hz are determined as statistically significant (p<0.05). Alpha frequency suppression is detected as a result for brain electrical activity analysis which are in agreement with literature. The EEG alpha activity detected while mental performance reflects more suppression than the eyes closed resting state alpha activity. To conclude, EEG alpha suppression is caused by mental arithmetic workload in volunteers with controlled physical performance, and the alpha suppression within sportsmen group is less, where the suppression of alpha activity obtained in sportsmen EEG is more explicit than in sedentary. Assessing the PPG signals results less variation in sportsmen. Results specify that PPG signals of sportsmen group represent less variances than PPG data of sedentary group. Also another finding specifies, that PPG signals within group may vary like in sportsmen group. According to these preliminary results, it can be predicted that the athlete group is less affected by mental workload despite being more focused and physically tired.

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Cite This Article

DURU, D. G., KOCA, E. I. (2019). Assessment of Electrophysiological Findings during Mental Workload in the Effect of Physical Performance. ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE, Cilt: 7 - Sayı: 3, 389–397. https://ajindex.com/articles/354904

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