張香治 博士後研究員

喜歡以多面向來探討思考各種事物，從不同角度的思維，往往會有不同的結果。休閒喜好是聽音樂、戶外郊遊和手遊。

學歷
中央大學電機工程學系 博士

經歷
中央大學博士後研究
昇雷科技工程師
入家生技工程師
神達電腦、美爾敦產學合作計畫

專長
心電圖演算法、訊號分析、韌體撰寫、程式設計

業務職掌
計劃管理、程式開發、資料分析、研究成果技術轉移與產學合作

學術著作

  1. Chuang, H. H., Lin, Y. H., Lee, L. A., Chang, H. C., She, G. J., & Lin, C. (2024). The optimal measurement period of actigraphy for circadian rhythm in relation to adiposity: A retrospective case-control study. Sleep medicine, 122, 1–7.
    https://doi.org/10.1016/j.sleep.2024.07.025

  2. Liang, H. W., Wu, C. H., Lin, C., Chang, H. C., Lin, Y. H., Chen, S. Y., & Hsu, W. C. (2024). Rest-Activity Rhythm Differences in Acute Rehabilitation Between Poststroke Patients and Non-Brain Disease Controls: Comparative Study. Journal of medical Internet research, 26, e49530.
    https://doi.org/10.2196/49530

  3. Chen, H. H., Lin, C., Chang, H. C., Chang, J. H., Chuang, H. H., & Lin, Y. H. (2024). Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities. Journal of medical Internet research, 26, e56144.
    https://doi.org/10.2196/56144

    • Chuang, H. H., Lin, C., Lee, L. A., Chang, H. C., She, G. J., & Lin, Y. H. (2024). Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study. Journal of medical Internet research, 26, e50149.
      https://doi.org/10.2196/50149

      • Tseng, C. H., Lin, C., Chang, H. C., Liu, C. C., Serafico, B. M. F., Wu, L. C., … & Lo, M. T. (2019). Cloud-based artificial intelligence system for large-scale arrhythmia screening. Computer, 52(11), 40-51.

      • Lin, C. Y., Silberbauer, J., Lin, Y. J., Lo, M. T., Lin, C., Chang, H. C., Chang, S. L., Lo, L. W., Hu, Y. F., Chung, F. P., Liao, J. N., Chen, Y. Y., Chiou, C. W., Chen, S. A., & Della Bella, P. (2016). Simultaneous Amplitude Frequency Electrogram Transformation (SAFE-T) Mapping to Identify Ventricular Tachycardia Arrhythmogenic Potentials in Sinus Rhythm. JACC. Clinical electrophysiology, 2(4), 459–470.
        https://doi.org/10.1016/j.jacep.2016.01.013

      • Hsu, H. T., Lee, I. H., Tsai, H. T., Chang, H. C., Shyu, K. K., Hsu, C. C., Chang, H. H., Yeh, T. K., Chang, C. Y., & Lee, P. L. (2016). Evaluate the Feasibility of Using Frontal SSVEP to Implement an SSVEP-Based BCI in Young, Elderly and ALS Groups. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 24(5), 603–615.
         https://doi.org/10.1109/TNSRE.2015.2496184

      • Chang, H. C., Lee, P. L., Lo, M. T., Wu, Y. T., Wang, K. W., & Lan, G. Y. (2013). Inter-trial analysis of post-movement Beta activities in EEG signals using multivariate empirical mode decomposition. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 21(4), 607–615.
        https://doi.org/10.1109/TNSRE.2013.2258940

      • Lee, P. L., Chang, H. C., Hsieh, T. Y., Deng, H. T., & Sun, C. W. (2012). A brain-wave-actuated small robot car using ensemble empirical mode decomposition-based approach. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 42(5), 1053-1064.

      • Chang, H. C., Lee, P. L., Lo, M. T., Lee, I. H., Yeh, T. K., & Chang, C. Y. (2012). Independence of amplitude-frequency and phase calibrations in an SSVEP-based BCI using stepping delay flickering sequences. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 20(3), 305–312.
        https://doi.org/10.1109/TNSRE.2011.2180925

      • Wu, H. Y., Lee, P. L., Chang, H. C., & Hsieh, J. C. (2011). Accounting for phase drifts in SSVEP-based BCIs by means of biphasic stimulation. IEEE Transactions on Biomedical Engineering, 58(5), 1394–1402.
        https://doi.org/10.1109/TBME.2010.2102757

      • Wu, C. H., Chang, H. C., Lee, P. L., Li, K. S., Sie, J. J., Sun, C. W., Yang, C. Y., Li, P. H., Deng, H. T., & Shyu, K. K. (2011). Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing. Journal of neuroscience methods, 196(1), 170–181.
         https://doi.org/10.1016/j.jneumeth.2010.12.014
        • Yeh, C. L., Chang, H. C., Wu, C. H., & Lee, P. L. (2010). Extraction of single-trial cortical beta oscillatory activities in EEG signals using empirical mode decomposition. Biomedical engineering online, 9, 25.
          https://doi.org/10.1186/1475-925X-9-25

                Email
                box@nhri.edu.tw

                張香治
                博士後研究員
                Signal analysis/
                Machine learning /
                Program Design /
                Wearable medical devices