Publications
2019 ~ 2020
Yuli Sun Hariyani, Heesang Eom, Cheolsoo Park, "DA-CapNet: Dual Attention Deep Learning based on U-Net for Nailfold Capillary Segmentation", in IEEE Access, vol. 8, pp. 10543-10553, 2020. SCIE
Woojoon Seok, Minsoo Yeo, Jiwoo You, Heejun Lee, Taeheum Cho, Bosun Hwang, Cheolsoo Park, "Optimal Feature Search for Vigilance Estimation Using Deep Reinforcement Learning", MDPI Electronics, Vol 9, Jan 2020, SCIE
Taeheum Cho, Unang Sunarya, Minsoo Yeo, Bosun Hwang, Yong Seo Koo, Cheolsoo Park, "Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy", MDPI Electronics, Vol 8, 1461, Dec 2019, SCIE
저지연 WSN을 위한 중앙집중형 멀티채널 스케줄링 알고리즘
이상수, 박철수, 손일수, "저지연 WSN을 위한 중앙집중형 멀티채널 스케줄링 알고리즘", KICS, Vol 44, Nov 2019, KCI
Multivariate Time–Frequency Analysis of Electrohysterogram for Classifcation of Term and Preterm Labor
Jiwoo You · Youngjoo Kim· Woojoon Seok · Seungmin Lee· Donggyu Sim· Kwang Suk Park · Cheolsoo Park, "Multivariate Time–Frequency Analysis of Electrohysterogram for Classifcation of Term and Preterm Labor," Journal of Electrical Engineering & Technology, vol. 14, no. 2, pp 897-916, March 2019, SCIE
2017~2018
Multimodal Drowsiness Detection Methods using Machine Learning Algorithms
Youngchul Kim, Minsoo Yeo, Illsoo Sohn, Cheolsoo Park, "Multimodal Drowsiness Detection Methods using Machine Learning Algorithms", IEIE Transactions on Smart Processing and Computing, vol 7, no 5, pp361, October 30 2018, SCOPUS
A Study on Adjacent Channel Interference and Coexistence in mmWAVE-Based 5G Systems
H Sung, O Shin, C Park, C Jun, I Sohn, "A Study on Adjacent Channel Interference and Coexistence in mmWAVE-Based 5G Systems", The Journal of Korean Institute of Communications and Information Sciences, Vol.43 No.09, Sep 2018, KCI
Machine learning in biomedical engineering
Park Cheolsoo; Took Clive Cheong, Seong Joon-Kyung, "Machine learning in biomedical engineering", Biomedical Engineering Letters, Vol 8, Issue 1, pp 1–3, Feb 2018, SCOPUS
Automatic Malware Detection with Machine Learning Algorithms in a Smart Office Environment
Minsoo Yeo, Ilsub Bang, Donghyun Kim, Abbas Ahmad, Hamza Baqa, Jaeseung Song, and Cheolsoo Park, "Automatic Malware Detection with Machine Learning Algorithms in a Smart Office Environment", IEIE Smart Signal Processing, vol.7 no.4 pp.313 August, 2018, SCOPUS
Recognition of Human Motion with Deep Reinforcement Learning
W. Seok1, C. Park1,2*, "Recognition of Human Motion with Deep Reinforcement Learning", IEIE Transactions on Smart Processing and Computing, vol. 7, no. 3, June 2018, SCOPUS
Flexible and Printed PPG Sensors for Estimation of Drowsiness
G. -S. Ryu, J. You, V. Lostianovskii, E. -B. Lee, Y. Kim, C. Park, and Y. -Y. Noh "Flexible and Printed PPG Sensors for Estimation of Drowsiness", IEEE Transactions on Electron Devices, vol. 65, no. 7, pp 2997-3004 July 2018, SCI
Lexical Planning in L2 Sentence Production: Evidence from ERPs
J.Kwon*, H.Lee*, J.Shin, W.Chung, M.Park & C.Park,"Lexical Planning in L2 Sentence Production: Evidence from ERPs", Journal of Cognitive Science vol 18-4, p367-389(23pages), 2018 (* First Author), SCOPUS
Correlation Assisted Strong Uncorrelating Transform Complex Common Spatial Patterns for Spatially Distant Channel Data
Deep ECGNet: An optimal deep learning framework for monitoring mental stress using ultra short-term ECG signals
Bosun Hwang, Jiwoo You, Thomas Vaessen, Inez My in-Germeys, *Cheolsoo Park, *Byoung-Tak Zhang (*Co-Corresponding Authors), "Deep ECGNet: An optimal deep learning framework for monitoring mental stress using ultra short-term ECG signals", Telemedicine and e-Health(2018), SCI
Flexible and implantable capacitive microelectrode for bio-potential acquisition
S Lee, H Byeon, B Kim, J Lee, J Jeong, J Lee, J Moon, C Park, H Choi, S Lee, "Flexible and implantable capacitive microelectrode for bio-potential acquisition", BioChip Journal, Vol.11, pp.153-163, June 2017, SCI
M. Yeo, Y. Koo and C. Park, “Automatic Detection of Sleep Stages based on Accelerometer Signals from a Wristband,” IEIE Transactions on Smart Processing and Computing, vol. 6, no. 1, pp 21-26, Feb. 2017, SCOPUS
2015~2016
S. Enshaeifar, C. C. Took, C. Park, D. P. Mandic, “Quaternion Common Spatial Patterns” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Nov. 2016, SCIE
Y. Kim, J. Ryu, K. Kim, C. C. Took, D. P. Mandic, C. Park, “Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns” Computational Intelligence and Neuroscience, vol. Sep 2016, SCIE
K. Lee, K. Kim, J. Song, J. Ryu, Y. Kim, C. Park, “Estimation of Brain Connectivity during Motor Imagery Tasks using Noise-Assisted Multivariate Empirical Mode Decomposition” Journal of Electrical Engineering and Technology, vol. 11, no. 6, pp 1812-1824, Nov. 2016, SCIE
Y. Kim and C. Park, “Strong Uncorrelated Transform Applied to Spatially Distant Channel EEG Data” IEIE Transactions on Smart Processing and Computing, vol. 4 , pp 97-102, Apr. 2015, KCI
J. Ryu and C. Park, “Time-Frequency Analysis of Electrohysterogram for Classification of Term and Preterm Birth” IEIE Transactions on Smart Processing and Computing, vol. 4, pp 103-109, Apr. 2015, KCI
C. Park, “Review of Data-Driven Multivariate and Multiscale Methods” IEIE Transactions on Smart Processing and Computing, vol. 4, pp 89-96, Apr. 2015, KCI
S. Lee, J. Kim, C. Park, J. Hwang, J. Hong, K. Lee, S. Lee, “Self-adhesive and Capacitive Carbon Nanotube-based Electrode to Record Electroencephalograph Signals from the Hairy Scalp” IEEE Transactions on Biomedical Engineering, vol 63, no 1, pp 138-147, Dec. 2015, SCI
2013~2014
MULTIVARIATE EXTENSIONS OF EMPIRICAL MODE DECOMPOSITION
C. Park, M. Plank, J. Snider, S. Kim, H. Huang, S. Gepshtein, T. Coleman and H. Poizner, “EEG gamma band oscillations differentiate the planning of spatially directed movements of the arm versus eye: multivariate empirical mode decomposition analysis” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 22, no 5, pp 1083-1096, June 2014, SCIE
C. Park, C. C. Took, and D. P. Mandic, “Augmented Complex Common Spatial Patterns for Classification of Noncircular EEG from Motor Imagery Tasks” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol 22, no. 1, pp. 1-10, Jan. 2014, SCIE
N. U. Rehman, C. Park, N. E. Huang and D. P. Mandic, “EMD via MEMD: Multivariate noise-aided computation of standard EMD” Advances in Adaptive Data Analysis, vol. 5, no. 2, pp. 1-25, Apr. 2013
C. Park, D. Looney, N. U. Rehman, A. Ahrabian, and D. P. Mandic, “Classification of motor imagery BCI using multivariate empirical mode decomposition” IEEE Transactions on Neural Systems and Rehabilitation Engineering vol. 21, no. 1, pp. 10-22, 2013
2007~2012
D. Looney, P. Kidmose, C. Park, M. Ungstrup, M. L. Rank, K. Rosenkranz, D. P. Mandic, “The In-the-Ear Recording Concept: User Centered and Wearable Brain monitoring” Pulse, IEEE, vol. 3, no. 6, pp. 32-42, Nov. 2012
M. Marimuthu, C. Park, S. Kim and C. Choi “Real-time electrical measurement of L929 cellular spontaneous and synchronous oscillation” International Journal of Nanomedicine vol. 7, pp 83-92, 2012
C. Park, D. Looney, M. V. Hulle, D. P. Mandic “The Complex Local Mean Decomposition” Neurocomputing vol. 27, no. 6, pp. 867-875, 2011
C. Park, D. Looney, P. Kidmose, M.Ungstrup and D.P. Mandic “Time-Frequency Analysis of EEG Asymmetry using Bivariate Empirical Mode Decomposition” IEEE Transactions on Neural Systems and Rehabilitation Engineering vol. 19, no. 4, pp. 366-373, 2011
C. Park, K. Kim, J. Choi, K. Park “Classification of Glucose Concentration in Diluted Urine using the Low-Resolution Raman Spectroscopy and Kernel Optimization Method” Physiological Measurement vol. 28, pp. 583-593, 2007
J. Choi, H.Lee, C. Park, S. Oh, K. Park “PC-Based Tele-Audiometry” Telemedicine and E-Healthvol. 13, pp. 501-508, 2007
