Personnel of the Faculty of Science

← Division of Health and Applied Sciences
Asst. Prof. Dr.

Danita Atiwiwat

Assistant Professor
  • danita.a@psu.ac.th
  • 8171
  • Physiology
  • Division of Health and Applied Sciences

Education

Graduated Year
Degree
Country
2018
Ph.D. (Physiology) UNIVERSITY OF TORONTO
canada
2008
M.S. (Biochemistry and Molecular Biology) GEORGETOWN UNIVERSITY
The United States of America
2005
B.Sc. (Biology) Prince of Songkla University
Thailand

Publication

From Scopus

Author ID: 57850761900
1
Sangpimpa W., Srichan P., Inchay C., Tanwiphat S., Salee N., Atiwiwat D., Renaldi G., Setthaya P., Samakradhamrongthai R.S., 2025. Utilization of cocoa powder in the development of chewy candy as a functional confectionery and its evaluation on stress-reducing activity using Electroencephalography. Journal of Food Composition and Analysis 148, Article Number 108268 (cited 0 times)
2
Hemakom A., Atiwiwat D., Israsena P., 2024. ECG and EEG based machine learning models for the classification of mental workload and stress levels for women in different menstrual phases, men, and mixed sexes. Biomedical Signal Processing and Control 95, Article Number 106379 (cited 14 times)
3
Hemakom A., Atiwiwat D., Israsena P., 2023. ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study. Plos One 18(9 September), Article Number e0291070 (cited 25 times)
4
Atiwiwat D., Aquilino M., Devinsky O., Bardakjian B.L., Carlen P.L., 2023. Interregional phase-amplitude coupling between theta rhythm in the nucleus tractus solitarius and high-frequency oscillations in the hippocampus during REM sleep in rats. Sleep 46(4), Article Number zsad027 (cited 3 times)
5
Hemakom A., Atiwiwat D., Sanguantrakul J., Israsena P., 2022. The Development of Intelligent Models for Stress Detection towards Real-world Applications. 2022 19th International Joint Conference on Computer Science and Software Engineering Jcsse 2022 (cited 2 times)
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Publication

From the Faculty of Science

1
Hemakom, A., Israsena, P., & Atiwiwat, D. (2024). ECG and EEG based machine learning models for the classification of mental workload and stress levels for women in different menstrual phases, men, and mixed sexes. Biomedical Signal Processing And Control, 95, 106379.
2
Hemakom, A., Atiwiwat, D., & Israsena, P. (2023). ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study (SCIE). Plos One, 18(9), Article number e0291070.
3
Atiwiwat, D., Aquilino, M., Devinsky, O., Bardakjian, B., & Carlen, P. (2023). Interregional phase-amplitude coupling between theta rhythm in the nucleus tractus solitarius and high-frequency oscillations in the hippocampus during REM sleep in rats (SCIE). Sleep, 46(4), Article number zsad027.
4
Samerphob, N., Cheaha, D., Issuriya, A., Chatpun, S., Lertwittayanon, W., Jensen, O., & Kumarnsit, E. (2020). Changes in neural network connectivity in mice brain following exposures to palatable food. Neuroscience Letters, 714(2020), Article number 134542.