Publications

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.

Jisoo Lee, Raeyoung Chang, Dongwook Kwon, Harmanpreet Singh, Nikhil Verma (2025). GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track.

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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.

Dongwook Kwon, Minseong Oh, Cheolsoo Park (2025). LLM 기반 다중 에이전트 강화학습을 활용한 이상탐지 기법. 대한전자공학회 추계학술대회, October 2025.

박철수, 박윤태, 이지운, 이충섭, 양근보 (2025). EMG와 DVS를 이용한 SNN 기반 팔 동작 모방 로봇 팔 제어 방법. 한국 특허 10-2023-0142845.

박철수, 권동욱, 강영신 (2025). GPT API를 사용한 네트워크 이상치 탐지 방법. 한국 특허 10-2023-0139066.

박철수, 양근보, 이충섭 (2025). 몽유병을 감지하는 엣지 디바이스. 한국 특허 10-2022-0164099.

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.

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.

박철수, 서유정, 유현수, 박윤태 (2025). 누워 지내는 환자를 헬스케어하기 위한 장치. 한국 특허 10-2021-0188903.

Minji Kim, Hyeonjung Kim, Youngshin Kang, Jihong Lee, Junghwan Lee, Cheolsoo Park (2025). Wasserstein GAN-GP 기반 Super-Resolution 모델을 활용한 손톱주름 모세혈관 영상 향상 기법. 대한의용생체공학회 춘계학술대회, May 2025.

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.

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

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.

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).

Yuntae Park, Jiwoon Lee, Jihwan Won, Junghwan Lee, Hanwoong Ryu, 박종길, Cheolsoo Park (2024). 근전도(EMG) 신호 분류를 위한 스파이크 신경망 기반 트랜스포머. IEIE 추계 학술대회, Nov 2024.

Jihong Lee, Youngshin Kang, Minji Kim, Jihwan Won, Dongwook, Cheolsoo Park (2024). Impact of Segmentation Improvement on White Blood Cell Counting Accuracy. IBEC 2024, Oct 2024.

Hyeonjung Kim, Youngshin Kang, Geunbo Yang, Cheolsoo Park (2024). Generalized ECG Feature Learning and Arrhythmia Classification Using Contrastive Predictive Coding. IBEC 2024, Oct 2024.

Jiwoon Lee, Yuntae Park, Hyuntae Lee, Cheolsoo Park (2024). 2-자유도 로봇 팔 제어를 위한 뉴로모픽 스파이크 기반 강화 학습. IEIE 인공지능신호처리 학술대회, Oct 2024.

Junghwan Lee, Yusang Nam, Hyuntae Lee, Cheolsoo Park (2024). Prediction of Remote Photoplethysmography Using Quaternion-based Convolutional Neural Networks in Metaverse. IEEE MetaCom 2024, Aug 2024.

Youngshin Kang, Geunbo Yang, Cheolsoo Park (2024). Event-based White Blood Cell Classification using Convolutional Spiking Neural Networks. IEEE MetaCom 2024, Aug 2024.

Yusang Nam, Junghwan Lee, Hyuntae Lee, Cheolsoo Park (2024). Application of remote heart rate estimation on a treadmill using a mixture of expert-based time series transformer model. IBEC 2024, Oct 2024.

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.

Youngshin Kang, Cheolsoo Park (2024). Emotion Classification from EEG Data Using Self-supervised Contrastive Predictive Coding. IEIE 추계 학술대회, Nov 2024.

Hanwoong Ryu, Jihwan Won, Jiseok Yang, Yuntae Park, Geunbo Yang, Cheolsoo Park (2024). 멀티모달 대형 언어 모델을 이용한 제로샷 인간 행동 인식. IEIE 추계 학술대회, Nov 2024.

박철수, 원지환 (2024). 연합 학습 시스템에서 비정상 모델 클러스터링 방법. 한국 특허 10-2022-0177276.

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. Sensors, Vol.24(12).

박철수, 이정환 (2024). 얼굴 이미지로부터 생체신호를 추정하는 장치. 한국 특허 10-2021-0188940.

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).

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).

Dongwook Kwon, Minji Kim, Youngshin Kang, Jihong Lee, Cheolsoo Park (2024). Hybrid Neural Network Model for Anomaly Detection in Implantable Devices Using Graph Attention Networks and Transformers. IBEC 2024, Oct 2024.

Dongwook Kwon, Youngshin Kang, Hyeonjung Kim, 유성기, Cheolsoo Park (2024). 사이버-물리 시스템에서의 이상 감지를 위한 양방향 접근 방식. IEIE 하계 학술대회, Jun 2024.

Hanwoong Ryu, Cheolsoo Park (2024). 렌터카 가격 예측을 위한 Lag-Llama 모델의 제로샷 기법 적용. IEIE 하계 학술대회, Jun 2024.

Jihwan Won, Junghwan Lee, Yuntae Park, Choongseop Lee, 송현주, Cheolsoo Park (2024). 다중 모달리티를 활용한 휴먼 제스처 인식: 이벤트 및 프레임 기반 3-스트림 융합 네트워크. IEIE 하계 학술대회, Jun 2024.

Jiseok Yang, Geunbo Yang, Junghwan Lee, Cheolsoo Park (2024). Large Language Models의 제로샷 기법을 적용한 렌터카 차량 가격 예측. IEIE 하계 학술대회, Jun 2024.

Jihong Lee, Youngshin Kang, Jiseok Yang, Hyuntae Lee, 유성기, Cheolsoo Park (2024). Homographic Adaptation 적용을 통한 손톱 주름 모세혈관의 의미론적 분할 성능 향상. IEIE 하계 학술대회, Jun 2024.

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).

Yuntae Park, Choongseop Lee, 송현주, Jihwan Won, Cheolsoo Park (2024). 전처리 기법과 Spiking Neural Network를 이용한 근전도 기반 손동작 분류 모델. 의용생체공학회 춘계 학술대회, May 2024.

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).

Jihwan Won, Yuntae Park, Geunbo Yang, Cheolsoo Park (2024). RGB 입력을 통한 CNN 기반 DVS 생성 및 행동 분류 성능 향상 연구. 추계 미디어학회, Nov 2024, Seoul.

Yusang Nam, Junghwan Lee, Saehim Kwon, Hyuntae Lee, 손량희, Cheolsoo Park (2024). Remote Photoplethymography을 이용한 감정 인식. 의용생체공학회 춘계 학술대회, May 2024.

Dongwook Kwon, Youngshin Kang, Cheolsoo Park (2023). 의료 디바이스 보안 강화를 위한 GNN-GRU 이상 감지 모델. 의용생체공학회 추계 학술대회, Oct 2023, Daegu.

Dongwook Kwon, Youngshin Kang, Jiseok Yang, Cheolsoo Park (2023). 딥러닝 기반 양방향 GRU를 이용한 산업용 사이버-물리 시스템에서의 실시간 이상치 탐지. IEIE 인공지능 신호처리 학술대회, Oct 2023, Daegu.

윤성민, Jihong Lee, Hanwoong Ryu, Cheolsoo Park (2023). 강화학습을 활용한 혈압 예측 모델의 재보정 주기 결정. 의용생체공학회 추계 학술대회, Oct 2023, Daegu.

Youngshin Kang, Dongwook Kwon, Cheolsoo Park (2023). Peak 간격을 고려한 Graph convolution network 기반 혈압 추정 연구. 의용생체공학회 추계 학술대회, Oct 2023, Daegu.

Hanwoong Ryu, Sungmin-Yoon, Cheolsoo Park (2023). Optimization and Advancement of 1D Convolution-based RepVGG Model for Efficient Blood Pressure Prediction. 의용생체공학회 추계학술대회, Oct 2023, Daegu.

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).

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. Sensors, Vol.23(16).

박철수, 강영신 (2023). 사용자 인증 시 사용자 정보 유출을 방지하기 위한 방법 및 장치. 한국 특허 10-2021-0146048.

박철수, 이충섭 (2023). 뉴로모픽 컴퓨팅 장치. 한국 특허 10-2020-0161286.

Youngshin Kang, Jiwoon Lee, Cheolsoo Park (2023). 확산 모델을 이용한 다변량 시계열 생체 신호 생성을 위한 복원 알고리즘. May 2023, Daegu.

Jihong Lee, Cheolsoo Park (2023). 혈압추정모델의 성능향상을 위한 강화학습 모델. May 2023, Deagu.

Yusang Nam, 윤영훈, Cheolsoo Park (2023). 쿼터니언 컨벌루션 뉴럴 네트워크를 이용한 비디오로부터의 심박수 예측. May 2023, Daegu.

Geunbo Yang, Cheolsoo Park (2023). 심층 스파이킹 신경망 에서의 이미지 분류를 위한 지도 학습 기반 무작위 추출 스파이크 인코딩 알고리즘. May 2023, Daegu.

Junghwan Lee, Cheolsoo Park (2023). Complex-valued neural networks를 통한 호흡 신호 예측. May 2023, Daegu.

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).

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).

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).

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. Sensors, Vol.23(3).

Junghwan Lee, Cheolsoo Park (2023). 쿼터니언 기반 컨볼루션 신경망을 이용한 얼굴 영상의 심박수 및 SpO2 예측. 의용생체공학회 추계 학술대회, Oct 2023, Daegu.

윤성민, Cheolsoo Park (2023). Structural Reparameteraization을 활용한 효율적인 실시간 혈압 추정 모델.

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).

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).

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

Jiwoon Lee, Cheolsoo Park (2022). Restoration of Time-Series Medical Data with Diffusion Model. ICCE-Asia, Oct 2022.

Junghwan Lee, Cheolsoo Park (2022). Remote SpO2 Estimation using End-to-End CNN Model. ICCE-Asia, Oct 2022.

Jiwoon Lee, Cheolsoo Park (2022). 잡음 제거 확산 모델 기반의 시계열 심전도 데이터 보간에 관한 연구. 의용생체공학회 추계학술대회, Oct 2022, Incheon.

Dongwook Kwon, Youngshin Kang, Cheolsoo Park (2022). 부정맥 진단을 위한 재구성 기반 다변량 ECG 시계열 데이터 분석. 의용생체공학회 추계학술대회, Oct 2022, Incheon.

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.

Choongseop Lee, Geunbo Yang, Yuntae Park, Cheolsoo Park (2022). Design of Spiking Neural Networks for Neuromorphic System. SNU symposium, Aug 2022, Seul.

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

Jihwan Won, Cheolsoo Park (2022). 연합 학습 모델에서 비정상 클라이언트 클러스터링. IEIE 2022, Jul 2022, Jeju.

Jaewoo Baek, Cheolsoo Park (2022). 심층 강화학습을 이용한 심전도 기반 자동 부정맥 분류 및 최적의 특징 탐색. IEIE 2022, Jul 2022, Jeju.

Seungwoo Han, Jaewoo Baek, Cheolsoo Park (2022). 그래프 신경망을 이용한 부정맥 분류 알고리즘. IEIE 2022, Jul 2022, Jeju.

Youngshin Kang, Cheolsoo Park (2022). Knowledge Distillation을 이용한 EEG 기반 개인인증. IEIE 2022, Jul 2022, Jeju.

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).

박철수, 서유정, 이원규, 엄희상, 손량희 (2022). 사용자의 손목에 착용가능한 혈압 측정 장치. 한국 특허 10-2020-0160459.

Yuntae Park, Geunbo Yang, Choongseop Lee, Jaewoo Baek, Cheolsoo Park (2022). 압축 감지된 심전도를 이용한 스파이킹 신경망 기반 심박 수 예측. 의용생체공학회 추계학술대회, Oct 2022, Incheon.

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).

Junghwan Lee, 윤영훈, 손량희, Cheolsoo Park (2022). 얼굴 영상 기반 심박수 추정을 위한 Quaternion Convolution Neural Networks. IEIE 2022, Jul 2022, Jeju.

Choongseop Lee, Geunbo Yang, 박종길, Cheolsoo Park (2022). SVR을 이용한 ECG 기반 심박수 추정 Spiking Neural Network. IEIE 2022, Jul 2022, Jeju.

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.

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.

박철수, 이충섭, 율리 선 하리야니, 백수환 (2021). 손톱주름 모세혈관 속 백혈구의 수를 산출하기 위한 뉴로모픽 컴퓨팅 장치. 한국 특허 10-2021-0190464.

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. Sensors, Vol.21(24).

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. Sensors, Vol.21(21).

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).

Jaewoo Baek, 이석민, 이영준, 이호찬, Cheolsoo Park (2021). EEG 단체널 기반 Inception 네트워크와 순환 신경망을 결합한 자동 수면 단계 분류기. IEIE 2021, June 2021, Jeju.

박철수, 이희준, 여민수, 한승우 (2021). 사용자의 집중도를 판단하는 방법 및 이를 위한 웨어러블 디바이스. 한국 특허 10-2019-0135315.

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

Suwhan Baek, Jaewoo Baek, Hyunsoo Yu, Cheolsoo Park (2021). Single channel EEG의 Attention을 통한 수면 단계 추정 의사결정지원시스템. IEIE 2021, June 2021, Jeju.

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.

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.

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).

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).

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. Sensors, Vol.21(1).

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. Sensors, Vol.20(24).

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.

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. Sensors, Vol.20(21).

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).

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

박철수, 하리야니, 엄희상 (2020). 사용자 인증 장치 및 방법. 한국 특허 10-2018-0160757.

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).

박철수, 이희준, 석우준 (2020). 웨어러블 디바이스가 근전도 패턴을 이용하여 사용자가 원하는 액션을 수행하는 방법. 한국 특허 10-2018-0075853.

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).

박철수, 석우준, 조태흠 (2020). 인공신경망을 이용하여 사용자의 동작 의도를 학습하는 방법 및 장치. 한국 특허 10-2018-0144918.

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. Sensors, Vol.20(8).

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.

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.

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.

Heesang Eom, Dongseok Lee, Seungwoo Han, Kwangsuk Park, Cheolsoo Park (2019). Blood Pressure Estimation Using Deep Learning based on Attention Mechanism. u-Healthcare 2019, Dec 2019, Kookmin University.

Suwhan Baek, Seungwoo Han, Jiwoon Lee, Wongyu Lee, Cheolsoo Park (2019). Arrhythmia Classification Using 1D-2D Conversion. u-Healthcare 2019, Dec 2019, Kookmin University.

Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, Yu Hyun Soo, Sayup Kim, Jongryun Roh, Choelsoo Park (2019). Gait Type Classification Using Support Vector Classification. KOSOMBE, Nov 7-9 2019, Inchon.

Seungwoo Han, Heesang Eom, Cheolsoo Park (2019). End-to-End 딥러닝 기반 부정맥 분류 연구. KOSOMBE, Nov 7-9 2019, Inchon.

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

Suwhan Baek, 노종련, 김사엽, Cheolsoo Park (2019). 머신러닝을 이용한 이상보행 검출. 신호처리합동학술대회, 대전, 2019.09.

박철수, 석우준, 여민수, 이희준, 김영철, 전태욱 (2019). 사용자의 졸음의 정도 혹은 집중력의 정도를 측정하기 위한 방법 및 이를 위한 웨어러블 디바이스. 한국 특허 10-2017-0058645.

Heesang Eom, Seungwoo Han, K. Park, Cheolsoo Park (2019). Data-Driven End-to-End Deep Learning Architecture for Long-Term Blood Pressure Estimation. International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019 07.

Heesang Eom, Seungwoo Han, D. Lee, K. Park, Cheolsoo Park (2019). Blood Pressure Estimation Based on Convolutional Neural Network using ECG, PPG and BCG. International Engineering in Medicine and Biology Conference, Berlin, Germany, 2019 07.

Heesang Eom, Seungwoo Han, 이동석, 박광석, Cheolsoo Park (2019). Attention 메커니즘을 활용한 CNN-BiGRU 기반 수축기 혈압 추정. KOSOMBE, Nov 7-9 2019, Inchon.

Taeheum Cho, Woojoon Seok, Cheolsoo Park (2019). 동작상상 태스크 수행 분류를 위한 강화학습기반 최적의 주성분 추출. 대한의용생체공학회 춘계학술대회, 여수, 2019.05.

Seungwoo Han, Heesang Eom, Taeheum Cho, 박광석, Cheolsoo Park (2019). 심전도와 맥파를 이용한 강화학습 기반 혈압 추정 알고리즘. 대한의용생체공학회 춘계학술대회, 여수, 2019.05.

Heesang Eom, Seungwoo Han, 박광석, 이동석, Cheolsoo Park (2019). 심전도, 맥파 및 심탄도를 이용한 딥러닝 기반 혈압 추정. 대한의용생체공학회 춘계학술대회, 여수, 2019.05.

Joohyung Kim, Taeheum Cho, Woojun Seok, Choelsoo Park (2019). 심전도 특징을 이용한 강화학습 개인 인증 시스템. KOSOMBE, Nov 7-9 2019, Inchon.

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.

Unang Sunarya, Yuli Sun Hariyani, D Sim, Cheolsoo Park (2019). A Spiking Neural Network of Digit Classification Using Prior Probability as Supervised Learning Model Representative. 한국통신학회, Jan. 23-25th 2019, 평창.

Seungwoo Han, Heesang Eom, 박광석, 이동석, Cheolsoo Park (2019). 심전도와 맥파를 이용한 딥러닝 기반 실시간 혈압 추정 연구. 한국통신학회 동계종합학술발표회, 평창, 2019.01.

Yuli Sun Hariyani, Heesang Eom, Cheolsoo Park (2019). YU-NET: An Improved Deep Learning method for Nailfold Capillary Segmentation. 대한의용생체공학회 춘계학술대회, 여수, 2019.05.

WG.Lee, WJ.Seok, Cheolsoo Park (2019). Unsupervised MNIST data classification using spiking neural network. KOSOMBE, Nov 7-9 2019, Inchon.

Unang Sunarya, Yuli Sun Hariyani, Taeheum Cho, Suwhan Baek, Sayup Kim, Jongryun Roh, Choelsoo Park (2019). Three Classification Classes of Gait Type Using Step Segmentation. u-Healthcare 2019, Dec 2019, Kookmin University.

Juhyeong Kim, Taehum Cho, Woojun Seok, Cheolsoo Park (2019). Reinforcement Learning Personal Authentication System Using ECG Feature. u-Healthcare 2019, Dec 2019, Kookmin University.

Woojoon Seok, Cheolsoo Park (2018). Drowsiness Monitoring using Deep Reinforcement learning. Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018.

Heejun Lee, Cheolsoo Park (2018). Deep CNN-RNN for Motor Imagery Classification. Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018.

Taeheum Cho, Cheolsoo Park (2018). Classification of Motor Imagery Tasks Through Optimal Principal Components Selected Using Reinforcement Learning. Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018.

Byeon-Ghwi Kim, Yuli Sun Hariyani, Cheolsoo Park (2018). Automated Capillary Image Segmentation using Deep Learning. Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018.

Heejun Lee, Cheolsoo Park (2018). Recurrent Neural Network with EEG Spectrogram for Motor Imaginary Classification. SMIT2018-IBEC2018 Joint Conference in Grand Walkerhill Hotel, Seoul, Korea, Nov. 8-10, 2018.

Yuli Sun Hariyani, Cheolsoo Park (2018). Nailfold Capillary Segmentation using Deep Learning. SMIT2018-IBEC2018 Joint Conference in Grand Walkerhill Hotel, Seoul, Korea, Nov. 8-10, 2018.

Woojoon Seok, Minsoo Yeo, Cheolsoo Park (2018). Multimodal Drowsiness Detection Method Using Deep Reinforcement Learning. SMIT2018-IBEC2018 Joint Conference in Grand Walkerhill Hotel, Seoul, Korea, Nov. 8-10, 2018.

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).

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.

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).

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).

Admin (2018). An example preprint / working paper.

PDF Code Dataset Poster Video Source Document DOI Custom Link

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

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.

Minsoo Yeo, Y Koo, Cheolsoo Park (2018). 손목 가속도 센서와 머신러닝 알고리즘을 이용한 자동 수면 패턴 분류. 2018 대한의용생체공학회 춘계학술대회, 충주, 2018.05.

Heejun Lee, Cheolsoo Park (2018). 딥러닝 뇌파 분석을 통한 멀티미디어 강의 시청 집중도 분류. 대한의용생체공학회 춘계학술대회, 충주, 2018.05.

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

Todd Prentice Coleman, Rui Ma, Sanggyun Kim, Cheolsoo Park, Ricardo Gil Da Costa, Raynard Fung, Diego Mesa (2018). Systems and methods for sensory and cognitive profiling. US Patent App. 15/879.

Woojoon Seok, Cheolsoo Park (2018). Pattern Recognition of Human Arm Movement Using Deep Reinforcement Learning. ICOIN, Chiang Mai, Thailand, Jan. 10-12, 2018.

Minsoo Yeo, Y. Koo, Y. Yoon, T. Hwang, Jiwoo Ryu, J. Song, Cheolsoo Park (2018). Flow-based Malware Detection Using Convolutional Neural Network. The 32nd International ICOIN (Conference on Information Networking), Thailand, Chiang Mai, Jan. 10-12, 2018.

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.

Heejun Lee, Youngjoo Kim, Cheolsoo Park (2018). Classification of Human Attention to Multimedia Lecture. ICOIN (International Conference on Information Networking), Chiang Mai, Thailand, Jan. 10-12, 2018.

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.

Jiwoo Ryu, Choelsoo Park (2017). An Accurate Real-time ECG/PPG Peak Detection Using Viterbi Algorithm. KCS (Korean Conference on Semiconductors), Gangwondo, Korea, 2017.

Heejun Lee, 김종훈, 정민우, 이 진, 임영범, Cheolsoo Park (2017). 멀티미디어 강의 중 집중력이 뇌파에 미치는 영향. KOSOMBE (Korea Society of Medical & Biological Engineering), Jeonju, Korea, 2017.

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

B Hwang, Jiwoo Ryu, Cheolsoo Park, B Zhang (2017). A novel method to monitor human stress states using ultra-short-term ECG spectral feature. Engineering in Medicine and Biology Society (EMBC), IEEE 2017.

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.

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.

석우준, Cheolsoo Park (2017). 강화학습 알고리즘을 통한 팔 동작 패턴 인식. KOSOMBE (Korea Society of Medical & Biological Engineering), Jeonju, Korea, 2017.

Youngjoo Kim, Cheolsoo Park (2017). Feature Extraction Using Correlation Preserving Transform Based on Complex Common Spatial Patterns. KCS (Korean Conference on Semiconductors), Gangwondo, Korea, 2017.

Heejun Lee, B.S Hwang, Youngjoo Kim, Cheolsoo Park (2017). Correlation Between Empathy and Experience in Human Emotion from EEG Signal. U-healthcare, Seoul, Korea, 2017.

Minsoo Yeo, 구용서, Cheolsoo Park (2017). Convolutional Neural Network을 이용한 IOT기기의 주관적 수면데이터의 패턴 분석. KOSOMBE (Korea Society of Medical & Biological Engineering), Jeonju, Korea, 2017.

Minsoo Yeo, Choelsoo Park (2017). Automated Sleep Scoring Using Accelerometer Data from a Wrist Band. KCS (Korean Conference on Semiconductors), Gangwondo, Korea, 2017.

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.

Youngjoo Kim, Cheolsoo Park (2016). 낮잠 중 청각 자극을 통한 운동 기억력 고착화에 관한 연구. 2016 융합스마트클라우드컴퓨팅학술대회, Seoul, Korea, 2016.

Youngjoo Kim, Jiwoo Ryu, Cheolsoo Park, Et Al. (2016). Stress Measurement Using the Accelerometer. IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016.

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.

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.

Heejun Lee, Minsoo Yeo, Youngjoo Kim, Cheolsoo Park, Et Al. (2016). Effects of visual and auditory delta band stimuli on sleep. IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016.

Jiwoo Ryu, Youngjoo Kim, Cheolsoo Park, Et Al. (2016). ECG-based Drowsiness level detection using Hidden Markov Model. IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016.

Minsoo Yeo, Jiwoo Ryu, Y. Koo, Cheolsoo Park, Et Al. (2016). Automated Sleep Scoring Using Accelerometer Data from a Wrist Band. IBEC (International Biomedical Engineering Conference), Seoul, Korea, 2016.

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.

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.

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

Youngjoo Kim, Cheolsoo Park (2015). 기계학습을 이용한 운동 심상 뇌전도의 분류. 추계전자공학회, 2015.

Jiwoo Ryu, Cheolsoo Park (2015). 기계학습 알고리즘을 이용한 뇌전도기반 감정 분류. 추계전자공학회, 2015.

Youngjoo Kim, Cheolsoo Park (2015). Motor Imagery EEG Classification Using Correlation Preserving Complex Common Spatial Patterns Algorithm. u-Healthcare, Osaka, Japan, 2015.

Kidmose Preben, Mandic Danilo P, Ungstrup Michael, Looney David, Park Cheolsoo, Rank Mike Lind (2015). Hearing aid adapted for detecting brain waves and a method for adapting such a hearing aid. US Patent 9.

Jiwoo Ryu, Cheolsoo Park (2015). A Comparison of Machine Learning Algorithms for EEG-based Emotion Recognition. u-Healthcare, Osaka, Japan, 2015.

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.

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.

Cheolsoo Park (2014). A tutorial on empirical mode decomposition in brain research. Consumer Electronics, ISCE 2014.

V. Vijayan, Cheolsoo Park, S. Kim, J. Onton, T. Coleman (2014). Probabilistic sleep staging algorithms for unobtrusive sleep monitoring with epidermal electronic system. UCSD Research Expo 2014, San Diego, USA, 2014.

N. U. Rehman, D. Looney, A. Ahrabian, C. Park (2014). Multivariate Extensions of Empirical Mode Decomposition. in a Book on Hilbert-Huang Transform and Its Applications edited by Norden E. Huang, World Scientific Publishing.

Cheolsoo Park, V. Vijayan, S. Kim, J. Onton, T. Coleman (2014). Epidermal Electronic System for Unobtrusive Sleep Monitoring. IBEC 2014, Gwangju, Korea, 2014.

Jiwoo Ryu, Youngjoo Kim, Cheolsoo Park (2014). Classification of Term and Preterm Labor Using Multivariate Empirical Mode Decomposition of EHG Signal. IBEC 2014, Gwangju, Korea, 2014.

Youngjoo Kim, Jiwoo Ryu, Cheolsoo Park (2014). Classification of Motor Imagery EEG using Strong Uncorrelated Transform Complex Common Spatial Patterns. IBEC 2014, Gwangju, Korea, 2014.

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.

Naveed Ur Rehman, David Looney, Cheolsoo Park, Danilo P. Mandic (2014). Adaptive Multiscale Time-Frequency Analysis. Springer Handbook of Bio-/Neuroinformatics, Berlin.

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.

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.

N. U. Rehman, D. Looney, C. Park, D. P. Mandic (2013). Adaptive Multiscale Time-Frequency Analysis. in Springer Handbook on Bio- and Neuro-Informatics, Springer.

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.

L. Li, D. Looney, Cheolsoo Park, T. Tanaka, J. Cao, D. P. Mandic (2012). Phase-based brain consciousness analysis. The 34th Annual International Conference of the IEEE EMBS, San Diego, USA, 2012.

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.

Cheolsoo Park, M. Plank, J. Snider, S. Kim, H. C. Huang, S. A. Hillyard, T. Coleman, H. Poizner (2012). Analysis of EEG responses during rapid pointing under risk and uncertainty. SfN 2012, New Orleans, USA, 2012.

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.

L. Li, D. Looney, Cheolsoo Park, D. Mandic (2011). Power Independent EMG based Gesture Recognition for Robotics. The 33th Annual International Conference of the IEEE EMBS, Boston, USA, 2011.

Cheolsoo Park, D. Looney, D. Mandic (2011). Estimating Human Response to Taste using EEG. The 33th Annual International Conference of the IEEE EMBS, Boston, USA, 2011.

Looney D, Cheolsoo Park, Kidmose P, Rank ML, Ungstrup M, Rosenkranz K, Mandic DP. (2011). An in-the-ear platform for recording electroencephalogram. EMBC, 2011.

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

P. Kidmose, M.L. Rank, M. Ungstrup, D. Looney, Cheolsoo Park, D.P. Mandic (2010). A Yarbus-Style Experiment to Determine Auditory Attention. The 32th Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, 2010.

D. Looney, Cheolsoo Park, Y. Xia, P. Kidmose, M. Ungstrup, D.P. Mandic (2010). Towards Estimating Selective Auditory Attention From EEG Using A Novel Time-Frequency-Synchronisation Framework. IEEE World Congress on Computational Intelligence, Barcelona, Spain, 2010.

D. Looney, Cheolsoo Park, P. Kidmose, M. Ungstrup, D.P. Mandic (2009). Measuring Phase Synchrony using Complex Extensions of EMD. IEEE Statistical Signal Processing Symposium, Cardiff, Wales, UK, 2009.

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

Cheolsoo Park, C. S. Kim, J. Y. Kim (2007). Development of PD Pattern Recognition in Extra High Voltage Cable. High Voltage and Discharge Application Technologies Research Association Spring Conference, Daejun, Korea, 2007.

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.

Cheolsoo Park, J Choi, K Park (2006). Urine analysis in diluted situation using low-resolution Raman spectroscope. Engineering in Medicine and Biology Society, April 2006.

S. H. Chung, Cheolsoo Park, K. S. Park (2005). Application of independent component analysis (ICA) method to the Raman spectra processing. Proceedings of SPIE 5702 Optical Diagnostics and Sensing V, p. 168-172, 2005.

Cheolsoo Park, J. M. Choi, K. S. Park (2005). Urine Analysis on Diluted Situation using Low-Resolution Raman Spectroscope. The 27th Annual International Conference of the IEEE EMBS, Shanghai, China, 2005.

Cheolsoo Park, J. M. Choi, K. S. Park (2005). Urine Analysis in a Toilet Bowl Using Raman Spectroscopy. The 6th Asia Pacific Conference on Medical and Biological Engineering, Tsukuba, Japan, 2005.

J. M. Choi, J. S. Kim, J. W. Park, Cheolsoo Park, H. S. Jeon, R. H. Sohn, M. S. Ryu, K. S. Park (2005). Unconstrained behavioral monitoring system at home. The 6th Asia Pacific Conference on Medical and Biological Engineering, Tsukuba, Japan, 2005.

S Chung, Cheolsoo Park, K Park (2004). Analysis of the Raman spectra from human urine samples using the PLS and PCR methods. Optical Society of America, 2004.