謝宗澔 助理教授

Hsieh Tsung Hao

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E-mail 實驗室 老師個人網站
tsung.hao.hsieh@gmail.com 生理資訊處理與應用實驗室  
研究室位置 研究室分機 實驗室位置 實驗室分機
       
研究領域
生理資訊處理、腦神經計算科學、認知實驗、機器學習
最高學歷
成功大學 資訊工程學系 博士
經歷
服務單位 職稱 起迄年月
東海大學 資訊工程學系 專案教師 2023 年 08 月至今
成功大學 博士後研究員 2018年12月~2023年7月
順序 名稱
1 Hu, Y. N., Hsieh, T. H., Tsai, M. T., Chien, C. Y., Roan, J. N., Huang, Y. C., & Liang, S. F. (2023). Cognitive Function Deterioration After Cardiopulmonary Bypass: Can Intraoperative Optimal Cerebral Regional Tissue Oxygen Saturation Predict Postoperative Cognitive Function? Journal of Cardiothoracic and Vascular Anesthesia, 37(5), 715-723.
2 Ishibashi, A., Liang, S. F., Kato, N., Zhou, Z., Hsieh, T. H., Matsuda, J., & Sawamura, N. (2023). Designing coupling of 2-Dimensional PhotoRecepto-Conversion Scheme (2DPRCS) with Clean Unit System Platform (CUSP). Energies, 16(4), 1838.
3 Tsung-Hao Hsieh, Meng-Hsuan Liu, Chin-En Kuo, Yung-Hung Wang, Sheng-Fu Liang (2021, Jan). Home-Use and Real-Time Sleep-Staging System Based on Eye Masks and Mobile Devices with a Deep Learning Model. Journal of Medical and Biological Engineering.
4 Hsieh, Tsung-Hao, Kuan-Yi Wu, and Sheng-Fu Liang. (2018, Oct). Identification of Schizophrenic Patients and Healthy Controls Based on Musical Perception Using AEP Analysis. Neuropsychiatry.
5 Chun-Chi Kunga; Tsung-Hao Hsieh; Jen-Yu Liou; Kuei-Ju Lin;Fu-Zen Shaw; Sheng-Fu Liang (2014). Musicians and non-musicians’ different reliance of features in consonance perception: A behavioral and ERP study. Clinical Neurophysiology
順序 名稱
1 A. Ishibashi, Z. Zhou, S. Liang, T. Hsieh, and M. Yasutake (2022, Oct) Compact Clean Unit System Platform (CUSP) for Quality-of-life Improvement. 2022 IEEE 11th Global Conference on Consumer Electronic
2 Meng-Hsuan Liu, Tsung-Hao Hsieh, Sheng-Fu Liang (2020, Nov). Home-used and real-time sleep staging system based on eye-masks and mobile devices. The 2020 International Automatic Control Conference
3 Tsung-Hao Hsieh, Yongsong Liu , Shengfu Liang , Masahiro Yasutake, Akira Ishibashi (2019, Oct). The Tent-type Clean Unit System Platform for Air Cleaning and Non-contact Sleep Assessment and Analysis. ICCBB 19: Proceedings of the 2019 3rd International Conference on Computational Biology and Bioinformatics.
4 Tsung-Hao Hsieh, Akira Ishibashi, Masahiro Yasutake, Sheng-Fu Liang (2019, Mar). Tent-type Clean Unit System Platform for Sleep Environment Enhancement and Non-contact Sleep Assessment. ICMMI 2019 2019 2nd IERI International Conference on Medical Physics,Medical Engineering and Informatics.
5 Hsieh, Tsung-Hao, Ming-Jian Sun, and Sheng-Fu Liang (2015). Musical perception scaling of AEPs from musicians, schizophrenia and normal people. In Technologies and Applications of Artificial Intelligence.
6 Hsieh, Tsung-Hao, Ming-Jian Sun, and Sheng-Fu Liang (2014). Diagnosis of Schizophrenia patients based on brain network complexity analysis of resting-state fMRI. 15th International Conference on Biomedical Engineering
7 Sheng-Fu Liang, Tsung-Hao Hsieh, Pin-Tzu Chen , Ming-Long Wu, Chun-Chia Kung, Chun-Yu Lin and Fu-Zen Shaw (2012, Nov). Differentiation between Resting-State fMRI data from ADHD and Normal Subjects : Based on Functional Connectivity and Machine Learning. 2012 International conference on Fuzzy Theory and Its Applications.
8 Chih-En Kuo, Tsung-Hao Hsieh and Sheng-Fu Liang (2012, Aug). The Automatic Sleep Scoring Method Based on Multiscale Entropy Analysis of EOG Signals. Annual global healthcare conference (GHC) 2012.
9 Sheng-Fu Liang, Tsung-Hao Hsieh, Wei-Hong Chen Kuei-Ju Lin (2011, Jun). Classification of EEG Signals from Musicians and Non-Musicians by Neural Networks. The 9th World Congress on Intelligent Control and Automation
順序 名稱
1 Brainwave feedback system and operation method thereof, Liang, S. F., Shaw, F. Z., Chih-En, K. U. O., Wang, Y. H., Lu, T. H., Hsieh, T. H., ... & CHEN, I. Y. (2023). U.S. Patent No. 11,630,514. Washington, DC: U.S. Patent and Trademark Office.
2 腦波回饋系統及其應用方法(2020) 梁勝富, 蕭富仁, 郭至恩, 王淵弘, 呂宗樺, 謝宗澔, 雲泰傑, 薛人瑞, 陳宜鈺, 中華民國I723853
順序 作品名稱/活動名稱/主題 邀請單位 地點 日期
1 Sleep Assessment and Alertness Restoration in Tent-type Clean Unit System Platform 北海道大學電子研

札幌

2023/6
順序 作品名稱/活動名稱/主題 頒獎單位 獲獎項目
1 智慧型神經訓練失眠改善系統/第十七屆國家新創獎 財團法人生技醫療科技政策研究中心

國家新創獎, 學研獎