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📜 Peer-Reviewed

📜 Peer-Reviewed (domestic)

📜 Book chapter

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📜 On-going

  1. Kim H, Kim MJ, Seo P, Jung KY, Kim KH. Enhancement of cortical function due to dopaminergic medication in restless legs syndrome revealed by explainable machine learning. Sleep Med. (Submitted)
  2. Kim H, Kim DH, Kim KH. Emotion-Dependent Reconfiguration of the Brain–Body Network Revealed by Multimodal analysis of EEG and Autonomic Signals. (In preparation)
  3. Kim H, Byun JI, Jung KY, Kim KH. Cortical dynamics underlying attentional deficits in idiopathic REM sleep behavior disorder revealed by explainable machine learning. (In preparation)
  4. Kim H, Baek H, Kim DH. Machine Learning Techniques for Design and Applications of Optical Metamaterials. (In preparation)

📜 Peer-reviewed

  1. Kim H, Byun JI, Jung KY, Kim KH. Abnormal theta- and gamma-band cortical activities during visuospatial attention in idiopathic REM sleep behavior disorder patients. Biomed. Eng. Lett. 2025 Jul 18. DOI: 10.1007/s13534-025-00493-5 (IF=2.8, Q3)
  2. Seo P, Kim H, Kim KH. Driver fatigue recognition using limited amount of individual electroencephalogram. Biomed. Eng. Lett. 2024 Oct 1. DOI: 10.1007/s13534-024-00431-x (IF=3.2, Q2)
  3. Kim H, Seo P, Kim MJ, Huh JI, Sunwoo JS, Cha KS, Jeong E, Kim HJ, Jung KY, Kim KH. Characterization of attentional event-related potential from REM sleep behavior disorder patients based on explainable machine learning. Comput Methods Programs Biomed. 2023 Jun;234:107496. DOI: 10.1016/j.cmpb.2023.107496 (IF=6.1, Q1, 13%)
  4. Kim H, Seo P, Byun JI, Jung KY, Kim KH. Spatiotemporal characteristics of cortical activities of REM sleep behavior disorder revealed by explainable machine learning using 3D convolutional neural network. Sci Rep. 2023 May 22;13(1):8221. DOI: 10.1038/s41598-023-35209-1 (IF=4.6, Q2)