Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Oxygen Transport to Tissue XLIIEvent-Related NIRS and EEG Analysis for Mental Stress Monitoring

Oxygen Transport to Tissue XLII: Event-Related NIRS and EEG Analysis for Mental Stress Monitoring [Mental disorders caused by chronic stress are difficult to identify, and colleagues in the work environment may suddenly report symptoms. Social barriers exist including the financial cost of medical services and the lack of a perceived need for treatment even if potential patients have a desire to receive mental healthcare. Self-report inventories such as the Beck Depression Inventory (BDI-II) and State-Trait Anxiety Inventory (STAI) can assess the emotional valence for mental health assessment, but medical expertise may be required for interpretation of the results. Contingency plans for clinical supervision and referral sources are necessary for sufficient mental healthcare using self-report inventories. On the other hand, the laterality index at rest (LIR) has been proposed for evaluation of the mental stress level from near-infrared spectroscopy (NIRS) data in the prefrontal cortex in the resting state. However, the potential for long-term monitoring has not been investigated with sufficient evaluation results. In this study, feature values were extracted from both NIRS and EEG signals each week for 10 weeks in four young participants with an average BDI-II score of 17.7, i.e., indicative of mild depression. Temporal changes in LIR and heart rate (HR) were compared with STAI-Y1 and BDI-II scores. We found cross-correlations between the time series of LIR and STAI-Y1 within one-week delay. In addition, the time series of LIR was also correlated with BDI-II with one-week delay. Importantly, by annotating the larger changes in LIR and HR on daily life events, the changes in LIR and HR were different depending on the type of life event that affected these moods.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Oxygen Transport to Tissue XLIIEvent-Related NIRS and EEG Analysis for Mental Stress Monitoring

Part of the Advances in Experimental Medicine and Biology Book Series (volume 1269)
Editors: Nemoto, Edwin M.; Harrison, Eileen M.; Pias, Sally C.; Bragin, Denis E.; Harrison, David K.; LaManna, Joseph C.
Rahman, Labiblais; Oyama, Katsunori; Tsubaki, Atsuhiro; Sakatani, Kaoru
Oxygen Transport to Tissue XLII — May 9, 2021
Download PDF
4 pages

Loading next page...
 
/lp/springer-journals/oxygen-transport-to-tissue-xlii-event-related-nirs-and-eeg-analysis-4WPrFqo1Xr

References (6)

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-030-48236-7
Pages
9–13
DOI
10.1007/978-3-030-48238-1_2
Publisher site
See Chapter on Publisher Site

Abstract

[Mental disorders caused by chronic stress are difficult to identify, and colleagues in the work environment may suddenly report symptoms. Social barriers exist including the financial cost of medical services and the lack of a perceived need for treatment even if potential patients have a desire to receive mental healthcare. Self-report inventories such as the Beck Depression Inventory (BDI-II) and State-Trait Anxiety Inventory (STAI) can assess the emotional valence for mental health assessment, but medical expertise may be required for interpretation of the results. Contingency plans for clinical supervision and referral sources are necessary for sufficient mental healthcare using self-report inventories. On the other hand, the laterality index at rest (LIR) has been proposed for evaluation of the mental stress level from near-infrared spectroscopy (NIRS) data in the prefrontal cortex in the resting state. However, the potential for long-term monitoring has not been investigated with sufficient evaluation results. In this study, feature values were extracted from both NIRS and EEG signals each week for 10 weeks in four young participants with an average BDI-II score of 17.7, i.e., indicative of mild depression. Temporal changes in LIR and heart rate (HR) were compared with STAI-Y1 and BDI-II scores. We found cross-correlations between the time series of LIR and STAI-Y1 within one-week delay. In addition, the time series of LIR was also correlated with BDI-II with one-week delay. Importantly, by annotating the larger changes in LIR and HR on daily life events, the changes in LIR and HR were different depending on the type of life event that affected these moods.]

Published: May 9, 2021

Keywords: NIRS; Mood disorder; Health monitoring; Laterality index at rest

There are no references for this article.