Publications

Youngshin Kang, Seongki Yoo, Ling Li, Youngho Cho, Cheolsoo Park (2026). Novel approach to blood pressure estimation using graph-based signal relationships. Biomedical Signal Processing and Control, 125.

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Jihwan Won, Hanwoong Ryu, Junghwan Lee, Danilo P. Madnic, Youngho Cho, Cheolsoo Park (2026). Enhancement of RGB-Based Human Action Recognition via Event-Inspired Multitask Learning. IEEE Access.

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Jaeyong Kim, Hyeonwoo Kim, Jihwan Won, Jiwoon Lee, Hyeonjung Kim, Sunwoo Yeon, Ryanghee Sohn, Youngho Cho, Cheolsoo Park (2026). Fall-from-Bed Risk Prediction Using Physics-Based Bed Simulation. MDPI Sensors, Vol.26, No.10, 2979.

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Junghwan Lee, Youngshin Kang, Yusang Nam, Hyuntae Lee, Danilo Mandic, Cheolsoo Park (2026). Quaternion-based CNN for heart rate prediction from PPG. Neural Networks (Early Access).

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Junghwan Lee, Yusang Nam, Jihwan Won, Suhwan-Baek, Donggyu Sim, Ryanghee Sohn, Cheolsoo Park (2025). Multi-task learning for estimation of remote PPG and respiration signals with complex valued convolutional neural network. Scientific Reports, 15.

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Youngho Cho, Cheolsoo Park (2025). Deep Reinforcement Learning-Based Adaptive Bandpass Filter With Reconfigurable Frequency and Bandwidth. IEEE Microwave and Wireless Technology Letters.

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Yusang Nam, Junghwan Lee, Jihong Lee, Hyuntae Lee, Dongwook Kwon, Minsoo Yeo, Sayup Kim, Ryanghee Sohn, Cheolsoo Park (2025). Designing a Remote Photoplethysmography-Based Heart Rate Estimation Algorithm During a Treadmill Exercise. Electronics, Vol.14.

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Yuntae Park, Jiwoon Lee, Donggyu Sim, Youngho Cho, Cheolsoo Park (2025). Designing Spiking Neural Network-Based Reinforcement Learning for 3D Robotic Arm Applications. Electronics, Vol.14.

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Choongseop Lee, Geunbo Yang, Jaewoo-Beak, Yuntae Park, Mingyu Cheon, Jongkil Park, Cheolsoo Park (2025). Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration. IEEE Access, Vol.13.

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Youngho Cho, Cheolsoo Park (2025). Dual-Band Absorptive Bandpass Filters Using a Dual-Behavior Matching Section. IEEE Access, Vol.13.

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Choongseop Lee, Yuntae Park, Sungmin-Yoon, Jiwoon Lee, Youngho Cho, Cheolsoo Park (2024). Brain-inspired learning rules for spiking neural network-based control: a tutorial. Biomedical Engineering Letters, Vol.15, pages 37–55.

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Youngho Cho, Cheolsoo Park, Sangwon Yun (2024). Tunable Absorptive Dual Notch Filters Using a Stub-Loaded Coupled Line with an Inductor. Journal of Electromagnetic Engineering and Science, Vol.24(6).

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Hyunsoo Yu, Suwhan Baek, Jiwoon Lee, Illsoo Sohn, Bosun Hwang, Cheolsoo Park (2024). Deep Neural Network-based Empirical Mode Decomposition for Motor Imagery EEG Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.32.

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Geunbo Yang, Youngshin Kang, Peter H. Charlton, Panayiotis A. Kyriacou, Ko Keun Kim, Ling Li, Cheolsoo Park (2024). Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks. MDPI Sensors, Vol.24(12).

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Gilang Raka Rayuda Dewa, Cheolsoo Park, Illsoo Sohn (2024). Priority-Aware Scheduling for High-Dense Healthcare IoT (H-IoT) Networks Using Message-Passing Algorithm. IEEE Internet of Things Journal, Vol.14(8).

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Jiseok Yang, Jinseok Kim, Hanwoong Ryu, Jiwoon Lee, Cheolsoo Park (2024). Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models. Electronics, Vol.13(12).

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Jiseok Yang, Hanwoong Ryu, Jiwoon Lee, Jihong Lee, Cheolsoo Park (2024). Design of Metaverse Rental Car Price Prediction Method Through Machine Learning Techniques. Journal of Broadcast Engineering, Vol.29(1).

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Youngho Cho, Cheolsoo Park (2024). Tunable absorptive bandpass filter with two transmission zeros based on image parameter method. Microwave and Optical Technology Letters, Vol.66(1).

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Gilang Raka Rayuda Dewa, Cheolsoo Park, Illsoo Sohn (2023). Hierarchical Affinity Propagation for Reliable Integrated Multi-Layer V2X Networks. IEEE Internet of Things Journal, Vol.10(18).

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Guenbo Yang, Wongyu Lee, Youjung Seo, Choongseop Lee, Woojoon Seok, Jongkil Park, Donggyu Sim, Cheolsoo Park (2023). Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons. MDPI Sensors, Vol.23(16).

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Youjung Seo, Saehim Kwon, Unang Sunarya, Sungmin Park, Kwangsuk Park, Dawoon Jung, Youngho Cho, Cheolsoo Park (2023). Blood pressure estimation and its recalibration assessment using wrist cuff blood pressure monitor. Biomedical Engineering Letters, Vol.13(1).

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Youngshin Kang, Geunbo Yang, Heesang Eom, Seungwoo Han, Suwhan Baek, Seungil Noh, Youngjoo Shin, Cheolsoo Park (2023). GAN-based patient information hiding for an ECG authentication system. Biomedical Engineering Letters, Vol.13(1).

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Yuntae Park, Unang Sunarya, Geunbo Yang, Choongseop Lee, Jaewoo Baek, Cheolsoo Park (2023). Classification Using Spiking Neural Network: A Review. IEIE Transactions on Smart Processing and Computing, Vol.12(1).

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Suwhan Baek, Juhyeong Kim, Hyunsoo Yu, Geunbo Yang, Illsoo Sohn, Youngho Cho, Cheolsoo Park (2023). Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning. MDPI Sensors, Vol.23(3).

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S. N. Fatihah, G. R. R. Dewa, Cheolsoo Park, I. Sohn (2023). Self-Optimizing Bluetooth Low Energy Networks for Industrial IoT Applications. IEEE Communications Letters, Vol.27(1).

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Unang Sunarya, Cheolsoo Park (2022). Optimal Number of Cardiac Cycles for Continuous Blood Pressure Estimation. IEIE Transactions on Smart Processing and Computing, Vol.11(6).

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Youngho Cho, Cheolsoo Park, Sangwon Yun (2022). 4-Pole Tunable Absorptive Bandstop Filters Using Folded Coupled-Lines With an Inductor. IEEE Access, Vol.9.

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S. Noh, J. Kim, S. Lee, Youngshin Kang, Cheolsoo Park, Y. Shin (2022). Broken Heart: Privacy Leakage Analysis on ECG-Based Authentication Schemes. Security and Communication Networks, Vol.2022.

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Heejin Lee, Junghwan Lee, Yujin Kwon, Jiyoon Kwon, Sungmin Park, Ryanghee Sohn, Cheolsoo Park (2022). Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation. MDPI Sensors, Vol.22(14).

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Wonju Seo, Namho Kim, Cheolsoo Park, Sung-Min Park (2022). Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals. IEEE Sensors Journal, Vol.22(12).

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Suwhan Baek, Jeawoo Baek, Hyunsoo Yu, Chungseop Lee, Cheolsoo Park (2022). Explainable Sleep Staging Algorithm using a Single-channel Electroencephalogram. IEIE Transactions on Smart Processing and Computing, Vol.11(1).

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Jaewoo Baek, Choongseop Lee, Hyunsoo Yu, Suwhan Baek, Seokmin Lee, Seungmin Lee, Cheolsoo Park (2022). Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks. IEEE Access, Vol.1.

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Jaewoo Baek, Suwan Baek, HyunSu Yu, Junghwan Lee, Cheolsoo Park (2021). End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM. IEIE Transactions on Smart Processing & Computing, Vol.10(6), pp.464-468.

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Suwhan Baek, Hyunsoo Yu, Jongryun Roh, Jungnyun Lee, Illsoo Sohn, Sayup Kim, Cheolsoo Park (2021). Effect of a Recliner Chair with Rocking Motions on Sleep Efficiency. MDPI Sensors, Vol.21(24).

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Heesang Eom, Jongryun Roh, Yuli Sun Hariyani, Suwhan Baek, Sukho Lee, Sayup Kim, Cheolsoo Park (2021). Deep Learning-Based Optimal Smart Shoes Sensor Selection for Energy Expenditure and Heart Rate Estimation. MDPI Sensors, Vol.21(21).

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HyeonBin Lee, Gwangho Kim, Juhyeong Kim, Youngshin Kang, Cheolsoo Park (2021). Optimal Design of Convolutional Neural Network for EEG-based Authentication. IEIE Transactions on Smart Processing and Computing, Vol.10(3).

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Junmo Kim, Geunbo Yang, Juhyeong Kim, Seungmin Lee, Ko Keun Kim, Cheolsoo Park (2021). Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning. MDPI Sensors, Vol.21(5).

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Gilang Raka Rayuda Dewa, Ahmad Sony Alfathani, Cheolsoo Park, Illsoo Sohn (2021). Distributed Channel Assignment for Ultra-Dense Wireless Networks Using Belief Propagation. IEEE Access, Vol.9.

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Young-Ho Cho, Cheolsoo Park, Sang-Won Yun (2021). 0.7-1.0-GHz Switchable Dual-/Single-Band Tunable Bandpass Filter Using a Switchable J-Inverter Cognitive. IEEE Access, Vol.9.

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Gwangho Kim, Yuli Sun Hariyani, Seungwoo Han, HyeonBin Lee, Rynaghee Sohn, Cheolsoo Park (2020). Optimization of Deep Neural Networks for Heart Rate Estimation from Face Video Stream to Implement Smart Health-City. The Journal of Korean Institute of Communications and Information Sciences, Vol.45(12).

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Choonseop Lee, Wongyu Lee, Seungwoo Han, Cheolsoo Park (2020). ECG-Based Arrhythmia Detection SNN Algorithm Using STDP and Spike Inference for Smart Health City. The Journal of Korean Institute of Communications and Information Sciences, Vol.45(12).

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Dongseok Lee, Hyunbin Kwon, Dongyeon Son, Heesang Eom, Cheolsoo Park, Yonggyu Lim, Chulhun Seo, Kwangsuk Park (2020). Beat-to-beat continuous blood pressure estimation using bidirectional long short-term memory network. MDPI Sensors, Vol.21(1).

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Byeonghwi Kim, Yuli Sun Hariyani, Young-Ho Cho, Cheolsoo Park (2020). Automated White Blood Cell Counting in Nailfold Capillary Using Deep Learning Segmentation and Video Stabilization. MDPI Sensors, Vol.20(24).

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Gil-Mo Kang, Cheolsoo Park, Oh-Soon Shin (2020). An Optimal Power Allocation Scheme for Device-to-Device Communications in a Cellular OFDM System. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.

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Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, Jongryun Roh, Joonho Hyeong, Illsoo Sohn, Sayup Kim, Cheolsoo Park (2020). Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns. MDPI Sensors, Vol.20(21).

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Young-Ho Cho, Sang-Won Yun, Cheolsoo Park (2020). A 1.0 to 1.58-GHz tunable bandpass filter with switchable single-/dual-band responses. Microwave and Optical Technology Letters, Vol.62(11).

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Hyunsoo Yu, Oh-Soon Shin, Sayup Kim, Cheolsoo Park (2020). Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality. MDPI Sensors, Vol.20(18).

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Seungwoo Han, Wongyu Lee, Heesang Eom, Juhyeong Kim, Cheolsoo Park (2020). Detection of Arrhythmia using 1D Convolution Neural Network with LSTM Model. IEIE Transactions on Smart Processing and Computing, Vol.9(4).

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Gilang Raka Rayuda Dewa, Cheolsoo Park, Illsoo Sohn (2020). Distributed Cell Clustering Based on Multi-Layer Message Passing for Downlink Joint Processing Coordinated Multipoint Transmission. Applied Sciences, Vol.10(15).

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Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park, Cheolsoo Park (2020). End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism. MDPI Sensors, Vol.20(8).

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Woojoon Seok, Minsoo Yeo, Jiwoo You, Heejun Lee, Taeheum Cho, Bosun Hwang, Cheolsoo Park (2020). Optimal Feature Search for Vigilance Estimation Using Deep Reinforcement Learning. Electronics, Vol.9.

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Yuli Sun Hariyani, Heesang Eom, Cheolsoo Park (2020). DA-CapNet: Dual Attention Deep Learning based on U-Net for Nailfold Capillary Segmentation. IEEE Access, Vol.8.

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Taeheum Cho, Unang Sunarya, Minsoo Yeo, Bosun Hwang, Yong Seo Koo, Cheolsoo Park (2019). Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy. Electronics, Vol.8, Article 1461.

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이상수, Cheolsoo Park, 손일수 (2019). 저지연 WSN을 위한 중앙집중형 멀티채널 스케줄링 알고리즘. KICS, Vol.44.

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Jiwoo You, Youngjoo Kim, Woojoon Seok, Seungmin Lee, Donggyu Sim, Kwang Suk Park, Cheolsoo Park (2019). Multivariate Time-Frequency Analysis of Electrohysterogram for Classification of Term and Preterm Labor. Journal of Electrical Engineering & Technology, Vol.14(2), pp.897-916.

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Youngchul Kim, Minsoo Yeo, Illsoo Sohn, Cheolsoo Park (2018). Multimodal Drowsiness Detection Methods using Machine Learning Algorithms. IEIE Transactions on Smart Processing and Computing, Vol.7(5).

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Bosun Hwang, Jiwoo You, Thomas Vaessen, Inez Myin-Germeys, Cheolsoo Park, Byoung-Tak Zhang (2018). Deep ECGNet: An optimal deep learning framework for monitoring mental stress using ultra short-term ECG signals. Telemedicine and e-Health.

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H. Sung, O. Shin, Cheolsoo Park, C. Jun, I. Sohn (2018). 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(9).

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Minsoo Yeo, Ilsub Bang, Donghyun Kim, Abbas Ahmad, Hamza Baqa, Jaeseung Song, Cheolsoo Park (2018). Automatic Malware Detection with Machine Learning Algorithms in a Smart Office Environment. IEIE Smart Signal Processing, Vol.7(4).

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Woojoon Seok, Cheolsoo Park (2018). Recognition of Human Motion with Deep Reinforcement Learning. IEIE Transactions on Smart Processing and Computing, Vol.7(3).

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G. S. Ryu, J. You, V. Lostianovskii, E. B. Lee, Youngjoo Kim, Cheolsoo Park, Y. Y. Noh (2018). Flexible and Printed PPG Sensors for Estimation of Drowsiness. IEEE Transactions on Electron Devices, Vol.65(7), pp.2997-3004.

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Cheolsoo Park, Took Clive Cheong, Seong Joon-Kyung (2018). Machine learning in biomedical engineering. Biomedical Engineering Letters, Vol.8(1), pp.1-3.

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Youngjoo Kim, Jiwoo Ryu, Heejun Lee, Seungmin Lee, Cheolsoo Park (2018). Correlation Assisted Strong Uncorrelating Transform Complex Common Spatial Patterns for Spatially Distant Channel Data. Computational Intelligence and Neuroscience.

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J. Kwon, Hyuntae Lee, J. Shin, W. Chung, M. Park, Cheolsoo Park (2017). Lexical Planning in L2 Sentence Production: Evidence from ERPs. Journal of Cognitive Science, Vol.18(4), pp.367-389.

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S. Enshaeifar, C. C. Took, Cheolsoo Park, D. P. Mandic (2017). Quaternion Common Spatial Patterns. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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H. Byeon, B. Kim, J. Jeong, Jiwoon Lee, J. Moon, Cheolsoo Park, H. Choi, S. Lee (2017). Flexible and implantable capacitive microelectrode for bio-potential acquisition. BioChip Journal, Vol.11, pp.153-163.

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Minsoo Yeo, Y. Koo, Cheolsoo Park (2017). Automatic Detection of Sleep Stages based on Accelerometer Signals from a Wristband. IEIE Transactions on Smart Processing and Computing, Vol.6(1), pp.21-26.

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K. Lee, K. Kim, J. Song, Jiwoo Ryu, Youngjoo Kim, Cheolsoo Park (2016). Estimation of Brain Connectivity during Motor Imagery Tasks using Noise-Assisted Multivariate Empirical Mode Decomposition. Journal of Electrical Engineering and Technology, Vol.11(6), pp.1812-1824.

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J. Kim, Cheolsoo Park, J. Hwang, J. Hong, K. Lee, S. Lee (2016). Self-adhesive and Capacitive Carbon Nanotube-based Electrode to Record Electroencephalograph Signals from the Hairy Scalp. IEEE Transactions on Biomedical Engineering, Vol.63(1), pp.138-147.

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Youngjoo Kim, Jiwoo Ryu, K. Kim, C. C. Took, D. P. Mandic, Cheolsoo Park (2016). Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns. Computational Intelligence and Neuroscience.

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Jiwoo Ryu, Cheolsoo Park (2015). Time-Frequency Analysis of Electrohysterogram for Classification of Term and Preterm Birth. IEIE Transactions on Smart Processing and Computing, Vol.4, pp.103-109.

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Youngjoo Kim, Cheolsoo Park (2015). Strong Uncorrelated Transform Applied to Spatially Distant Channel EEG Data. IEIE Transactions on Smart Processing and Computing, Vol.4, pp.97-102.

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Cheolsoo Park (2015). Review of Data-Driven Multivariate and Multiscale Methods. IEIE Transactions on Smart Processing and Computing, Vol.4, pp.89-96.

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Cheolsoo Park, M. Plank, J. Snider, S. Kim, H. Huang, S. Gepshtein, T. Coleman, H. Poizner (2014). 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(5), pp.1083-1096.

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Naveed Ur Rehman, David Looney, Alireza Ahrabian, Cheolsoo Park, Danilo P. Mandic (2014). Multivariate Extensions of Empirical Mode Decomposition. Hilbert-Huang Transform and Its Applications.

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Cheolsoo Park, C. C. Took, D. P. Mandic (2014). Augmented Complex Common Spatial Patterns for Classification of Noncircular EEG from Motor Imagery Tasks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.22(1), pp.1-10.

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N. U. Rehman, Cheolsoo Park, N. E. Huang, D. P. Mandic (2013). EMD via MEMD: Multivariate noise-aided computation of standard EMD. Advances in Adaptive Data Analysis, Vol.5(2), pp.1-25.

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Cheolsoo Park, D. Looney, N. U. Rehman, A. Ahrabian, D. P. Mandic (2013). Classification of motor imagery BCI using multivariate empirical mode decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.21(1), pp.10-22.

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D. Looney, P. Kidmose, Cheolsoo Park, M. Ungstrup, M. L. Rank, K. Rosenkranz, D. P. Mandic (2012). The In-the-Ear Recording Concept: User Centered and Wearable Brain Monitoring. IEEE Pulse, Vol.3(6), pp.32-42.

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M. Marimuthu, Cheolsoo Park, S. Kim, C. Choi (2012). Real-time electrical measurement of L929 cellular spontaneous and synchronous oscillation. International Journal of Nanomedicine, Vol.7, pp.83-92.

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Cheolsoo Park, D. Looney, P. Kidmose, M. Ungstrup, D. P. Mandic (2011). Time-Frequency Analysis of EEG Asymmetry using Bivariate Empirical Mode Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.19(4), pp.366-373.

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Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic (2011). The Complex Local Mean Decomposition. Neurocomputing, Vol.27(6), pp.867-875.

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Jongmin Choi, Haetbit Lee, Cheolsoo Park, Seungha Oh, Kwangsuk Park (2007). PC-Based Tele-Audiometry. Telemedicine and e-Health, Vol.13, pp.501-508.

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Cheolsoo Park, Kokeun Kim, Jongmin Choi, Kwangsuk Park (2007). Classification of Glucose Concentration in Diluted Urine using the Low-Resolution Raman Spectroscopy and Kernel Optimization Method. Physiological Measurement, Vol.28, pp.583-593.

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