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Postdoctoral Fellow

Tsung-Hao Hsieh

Email:  tsung.hao.hsieh@ gmail.com
Journal papers
  1. Hsieh, T. H., Wu, K. Y., & Liang, S. F. (2018). Identification of Schizophrenic Patients and Healthy Controls Based on Musical Perception Using AEP Analysis. Neuropsychiatry. (Vol. 08).
  2. Kung, C. C., Hsieh, T. H., Liou, J. Y., Lin, K. J., Shaw, F. Z., & Liang, S. F. (2014). Musicians and non-musicians’ different reliance of features in consonance perception: A behavioral and ERP study. Clinical Neurophysiology, 125(5), 971-978.
 
International seminar
  1. Hsieh, T.H., Ishibashi, A., Yasutake, M., Liang, S.F. (2019, October)., Using Tent-type Clean Unit System Platform for Sleep and non-contact Sleep Assessment. In 2019 3rd International Conference on Computational Biology and Bioinformatics (ICCBB 2019).
  2. Hsieh, T.H., Ishibashi, A., Yasutake, M., Liang, S.F. (2019, March)., The Feasibility of Using Tent-type Clean Unit System Platform for Sleep and non-contact Assessment. In 2019 2nd IERI International Conference on Medical Physics, Medical Engineering and Informatics (ICMMI 2019).
  3. Hsieh, T. H., Sun, M. J., & Liang, S. F. (2015, November). Musical perception scaling of AEPs from musicians, schizophrenia and normal people. In Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on (pp. 358-362). IEEE.S. F. Liang, C. E. Kuo, Y. H Chen, Y. C. Hsu, “Eyeshade for Nap Sleep Wake-Up,” TW Patent # I500418, 2015.
  4. Hsieh, T. H., Sun, M. J., & Liang, S. F. (2014). Diagnosis of Schizophrenia patients based on brain network complexity analysis of resting-state fMRI. In The 15th International Conference on Biomedical Engineering (pp. 203-206). Springer, Cham.
  5. Liang, S. F., Hsieh, T. H., Chen, P. T., Wu, M. L., Kung, C. C., Lin, C. Y., & Shaw, F. Z. (2012, November). Differentiation between resting-state fMRI data from ADHD and normal subjects: based on functional connectivity and machine learning. In Fuzzy Theory and it's Applications (iFUZZY), 2012 International Conference on (pp. 294-298). IEEE.
  6. Kuo, C. E., Hsieh, T. H., & Liang, S. F. (2012). The Automatic Sleep Scoring Method Based on Multiscale Entropy Analysis of EOG Signals. In The 1st Annual Global Healthcare Conference (GHC).
  7. Liang, S. F., Hsieh, T. H., Chen, W. H., & Lin, K. J. (2011, June). Classification of EEG signals from musicians and non-musicians by neural networks. In Intelligent Control and Automation (WCICA), 2011 9th World Congress on (pp. 865-869). IEEE.