Index / Faculty / Faculty / Computer Application
Computer Application
Chun-ChengLin
Job Title
Professor
Education
Ph.D. in Electrical Engineering at National Taiwan University of Science and Technology, Taiwan, R.O.C.
Phone
7238
Lab
Engineering Building 3F E307
Expertise
Digital Signal Processing, Biomedical Signal Processing, Microprocessor Applications
Time
  Monday Tuesday Wednesday Thursday Friday Saturday Sunday
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Experience
[1] Professor, Department of Electrical Engineering, National Chin-Yi University of Technology, August 2017 – Present
[2] Associate Professor, Department of Electrical Engineering, National Chin-Yi University of Technology,  February 2010 – July 2017
[3] Assistant Professor,  Department of Electrical Engineering, National Chin-Yi University of Technology,  February 2008 – January 2010
[4] Assistant Professor, Department of Electronic Engineering, Lunghwa University of Science and Technology, February 2005 – January 2008
Research areas
Automated Insomnia Identification System,  Automated Detection of Ischemic ST Changes, and Automated Detection of Sleep Apnea Events Based on Deep Learning Neural Network Model and Ambulatory ECG.
Main courses
Computer Programming, Computer Programming Practice, Digital Signal Processing and Practice, Microprocessor and Practice, Advanced Digital Signal Processing
Papers
Scopus:https://www.scopus.com/authid/detail.uri?authorId=55730228100
 
[1] Chun-Cheng Lin, Mao-Huan Hsu, and Cheng-Yu Yeh, 2023, “License Plate Recognition System for Taiwanese Vehicles Using Cascade of YOLOv4 Detectors”, Sensors and Materials, Vol. 35, No. 6, pp. 2129-2137. (SCIE)
[2] Hung-Yu Chang, Chun-Cheng Lin, Chieh-Ju Chao, Yi-Cheng Lin, Yao-Chang Wang, Chia-Te Liao, Jin-Long Huang, Ying-Hsiang Lee, Chun-Yao Huang, Li-Nien Chien, Chien-Yi Hsu, 2023, “Real-World Experience of Angiotensin ReceptoreNeprilysin Inhibition in Reduced Ejection Fraction Heart Failure Patients With Advanced Kidney Disease”, Mayo Clinic Proceedings, 98(1):88-99. (SCIE)
[3] Jeng-Wen Chen, Shih-Tsang Lin, Cheng-Yi Wang, Chun-Cheng Lin, Kuan-Chun Hsu, Cheng-Yu Yeh, and Shaw-Hwa Hwang, 2023, “A Signal Segmentation-Free Model for Electrocardiogram-Based OSA Severity Classification”, Advanced Intelligent Systems, 5 (3), pp.1-10. (SCIE)
[4] Jeng-Wen Chen, Chia-Ming Liu, Cheng-Yi Wang, Chun-Cheng Lin, Kai-Yang Qiu, Cheng-Yu Yeh, Shaw-Hwa Hwang, 2023, “A deep neural network-based model for OSA severity classification using unsegmented peripheral oxygen saturation signals”, Engineering Applications of Artificial Intelligence, 122, pp. 1-10.
[5] Cheng-Yu Yeh, Hung-Yu Chang, Jiy-Yao Hu, Chun-Cheng Lin*, 2022, “Contribution of Different Subbands of ECG in Sleep Apnea Detection Evaluated Using Filter Bank Decomposition and a Convolutional Neural Network”, Sensors, 10; 22(2):510. (SCIE). 
[6] Cheng-Yu Yeh, Chun-Cheng Lin, and Kuan-Chun Hsu, 2021, “Teaching Tool for Fun Learning of AI-based Banknote Detection Technology”, Sensors and Materials, 33(6): 1767–1776 (SCIE).
[7] Hung-Yu Chang, Cheng-Yu Yeh, Chung-Te Lee and Chun-Cheng Lin*, 2020, “A Sleep Apnea Detection System Based on a One-Dimensional Deep Convolution Neural Network Model Using Single-Lead Electrocardiogram”, Sensors, 20(15):4157, pp. 1-15. (SCIE)
[8] Chun-Cheng Lin, Hung-Yu Chang, Yan-Hua Huang, Cheng-Yu Yeh, 2019, “A Novel Wavelet-Based Algorithm for Detection of QRS Complex”, Applied Sciences, vol. 9, pp. 1-19. (SCIE)
[9] Cheng-Yu Yeh, Chien-Fu Chen, Chun-Cheng Lin*, 2019, “High-performance Two-stage Face Recognition Algorithm for Reduced Illumination Effect”, Sensors and Materials, 31(9), 2771-2776. (SCIE)
[10] Chun-Cheng Lin, 2016, September, “Analysis of Abnormal Intra-QRS Potentials in Signal-Averaged Electrocardiograms Using a Radial Basis Function Neural Network”, Sensors, vol. 16, pp. 1-16. (SCIE)
[11] Chun-Cheng Lin, Chun-Min Yang, 2014, “Heartbeat Classification Using Normalized RR Intervals and Morphological Features”, Mathematical Problems in Engineering, vol. 2014, pp. 1-11. (SCIE)
[12] Wen-Ping Chen, Song-Shyong Chen, Chun-Cheng Lin*, Ya-Zhung Chen, Wen-Chih Lin, 2012, “Automatic recognition of frog calls using a multi-stage average spectrum”, Computers & Mathematics with Applications, vol. 64, pp. 1270-1281. (SCIE)
Cooperation
National Science and Technology Council Projects:
 
[1] Project Title: Automated Insomnia Identification System Using Electrocardiogram Signals and Deep Learning Neural Network Models (113-2637-E-167-005), Role: Principal Investigator, Execution Period: August 1, 2024 – July 31, 2025.
[2] Project Title: Automated Detection of Ischemic ST Changes Based on Deep Learning Neural Network Model and Ambulatory ECG (II) (112-2637-E-167-003), Role: Principal Investigator, Execution Period: August 1, 2023 – July 31, 2024.
[3] Project Title: Automated Detection of Ischemic ST Changes Based on Deep Learning Neural Network Model and Ambulatory ECG (111-2637-E-167-003), Role: Principal Investigator, Execution Period: August 1, 2022 – July 31, 2023.
[4] Project Title: Detection of Sleep Apnea Events Using Convolutional Neural Network and Based on Single-lead ECG and Chest Respiratory Signal (III) (110-2637-E-167-002), Role: Principal Investigator, Execution Period: August 1, 2021 – July 31, 2022.
[5] Project Title: Detection of Sleep Apnea Events Using Convolutional Neural Network and Based on Single-lead ECG and Chest Respiratory Signal (II) (109-2637-E-167-001), Role: Principal Investigator, Execution Period: August 1, 2020 – July 31, 2021.
[6] Project Title: Detection of Sleep Apnea Events Using Convolutional Neural Network and Based on Single-lead ECG and Chest Respiratory Signal (108-2637-E-167-002), Role: Principal Investigator, Execution Period: August 1, 2019 – October 31, 2020.