IEEE EMBC 2026 || Toronto, Canada || 26-30 July 2026

We.P19: Deep learning / Machine Learning I

Wednesday, 29 July, 16:30 - 18:30

Location: Hall E

Session Type: Poster

Theme 1: Biomedical Signal Processing

Poster Board: A-1

We.P19.A-1: PeBCI: VISION-GUIDED BRAIN-COMPUTER INTERFACE FOR CONTEXT-AWARE NEURAL DECODING IN DAILY LIFE

Ye-Sung Kim, Minsu Kim, Wooseok Hyung, Hanyang University; Byungha Ko, Guhnoo Yun, Dong-Hwan Kim, Korea Institute of Science and Technology; Chang-Hwan Im, Hanyang University

Poster Board: A-2

We.P19.A-2: STATE-SPACE MEETS ADAPTIVE NONLINEARITY: EFFICIENT AND INTERPRETABLE EEG-BASED SEIZURE DETECTION

Nazila Ahmadi Daryakenari, Björn Krüger, University of Bonn, University Hospital Bonn

Poster Board: A-3

We.P19.A-3: FEASIBILITY OF SYNTHESIZING INNER SPEECH FROM ECOG USING AN AUTOENCODER-BASED UNSUPERVISED LEARNING

Jihun Hwang, Hongsang Lee, Hanyang University; Chun Kee Chung, Seoul National University Medical Research Center; Chang-Hwan Im, Hanyang University

Poster Board: A-4

We.P19.A-4: METRIC LEARNING FOR EEG-BASED SEARCHING CONCEALED INFORMATION TEST: A NOVEL METHOD FOR STIMULUS SALIENCE RANKING

Jaehoon Cheon, Suhye Kim, Minsu Kim, Taehee Kim, Chang-Hwan Im, Hanyang University

Poster Board: A-5

We.P19.A-5: EXPLAINABLE AI APPROACH TO EEG-BASED DECEPTION DETECTION TO ENHANCE EXPLAINABILITY IN THE FORENSIC CONTEXT

Taehee Kim, Suhye Kim, Jaehoon Cheon, Chang-Hwan Im, Hanyang University

Poster Board: A-6

We.P19.A-6: PREDICTION OF CANINE CRANIAL CRUCIATE RUPTURE BY INTEGRATING GENOTYPIC AND INHERITED PHENOTYPIC RISK FACTORS USING MULTI-MODAL MACHINE LEARNING

Siddharth Koneru, Independent Researcher, Skyline High School

Poster Board: A-7

We.P19.A-7: TOWARDS BIAS-AWARE MODEL SELECTION IN FEDERATED CLUSTERING UNDER NON-IID SETTINGS

Karly S. Franz, Holland Bloorview Kids Rehabilitation Hospital; Azadeh Kushki, Holland Bloorview Kids Rehabilitation Hospital; University of Toronto

Poster Board: A-8

We.P19.A-8: Fast and Accurate Parameter Optimization of Transcranial Temporal Interference Stimulation by Selectively Employing Target-Specific Candidate Electrodes

Sangwoo Lee, Hanyang University; Eun-Gyoung Yi, Neurophet Inc.; Jaehoon Jeong, Hanyang University; Hyungtaek Kim, Rak-kyeun Hong, Donghyeon Kim, Neurophet Inc.; Chang-Hwan Im, Hanyang University

Poster Board: A-9

We.P19.A-9: TRANSFORMER-BASED EARLY DETECTION OF SEPSIS FROM INTENSIVE CARE UNIT MULTIVARIATE TIME SERIES DATA

Ye Eun Choi, Hangsik Shin, Asan Medical Center, University of Ulsan College of Medicine

Poster Board: A-10

We.P19.A-10: BRAIN-HEART INTERACTIONS CAPTURED BY WEARABLE EEG AND PPG FOR DEEP LEARNING-BASED COMPUTER-AIDED DIAGNOSIS OF MAJOR DEPRESSIVE DISORDER

Unbyeong Kim, Hyerin Nam, Taegyeong Lee, Hanyang University; Seung-Hwan Lee, Ilsan Paik Hospital, Inje University College of Medicine; Chang-Hwan Im, Hanyang University

Poster Board: A-11

We.P19.A-11: COMPARISON OF FEW-SHOT ADAPTATION STRATEGIES FOR EEG-BASED DECODING OF FINE RIGHT-HAND MOVEMENTS

Chaeyoon Kim, Heejin Choi, Hyeseong Jeon, JangJay Sohn, Chang-Hwan Im, Hanyang University

Poster Board: A-12

We.P19.A-12: EVALUATION OF INTEGRATED EXPLAINABLE AND CAUSAL MACHINE LEARNING ANALYSIS FOR TRANSIENT BATTERY VOLTAGE DROPS IN PACEMAKERS

Takunori Shimazaki, Jikei University of Health Care Sciences; Rumi Iwai, Hyogo Medical University Hospital; Takanao Mine, Hyogo Medical University; Mitsuhiro Fukuda, Shingo Ata, Daisuke Anzai, Osaka Metropolitan University

Poster Board: A-13

We.P19.A-13: Disrupted Cortico-Autonomic-Muscular Integration in Patients with Isolated REM Sleep Behavior Disorder during Sleep

Hyerin Nam, Hanyang University; Ki-Young Jung, Seoul National University Hospital; Chang-Hwan Im, Hanyang University

Poster Board: A-14

We.P19.A-14: Autoencoder-Based Quality Assessment of Continuous Blood Pressure Pulsations for Improving Pulse Rate Variability Metrics

Bartosz Olszewski, Agnieszka Uryga, Cyprian Mataczyński, Magdalena Kasprowicz, Wroclaw University of Science and Technology

Poster Board: A-15

We.P19.A-15: ANOMALY DETECTION-BASED HYBRID MACHINE LEARNING FOR PREDICTING EARLY ALLOGRAFT FAILURE IN LIVING DONOR LIVER TRANSPLANTATION

Yujin Han, Hangsik Shin, University of Ulsan

Poster Board: A-16

We.P19.A-16: Temporal Fusion Transformer for Robust Multimodal Snore Detection

Woocheol Jang, Dowon Kim, Na-eun Oh, Jinseok Lee, Kyung Hee University

Poster Board: A-17

We.P19.A-17: DEVELOPMENT OF A MACHINE LEARNING (ML) ALGORITHM TO PREDICT RESPONSE TO PHARMACOLOGIC TREATMENT OF PATENT DUCTUS ARTERIOSUS (PDA) IN EXTREMELY PRETERM INFANTS

Rolando Guzman, Children’s Hospital of Orange County.; Brant Tudor, Johns Hopkins School of Medicine; Oscar Mendizabal, Johns Hopkins All Children's Hospital; Joana Machry, Johns Hopkins School of Medicine; Bruce Landeck, Johns Hopkins All Children's Hospital; Mohamed Rehman, Johns Hopkins School of Medicine; Luis Ahumada, Johns Hopkins All Children's Hospital

Poster Board: A-18

We.P19.A-18: COPPER: CRYOANALGESIA FOR PAIN MANAGEMENT AFTER PECTUS EXCAVATUM REPAIR

Ellis Crabtree, Johns Hopkins All Children's Hospital; Elena Massaro, Matilde Bastianello, Cinzia Papappicco, Rachele Bonfiglio, Istituto Giannina Gaslini; Brant Tudor, Frederick Kuo, Mohamed Rehman, Johns Hopkins All Children's Hospital; Nicola Disma, Istituto Giannina Gaslini; Luis Ahumada, Johns Hopkins All Children's Hospital

Poster Board: A-19

We.P19.A-19: DISTINGUISHING PASSIVE LISTENING AND INNER SPEECH FROM ECOG USING A MULTI-FREQUENCY CONVOLUTIONAL NEURAL NETWORK

Gaeun Lee, Jihun Hwang, Hongsang Lee, Hanyang University; Chun Kee Chung, Seoul National University; Chang-Hwan Im, Hanyang University

Poster Board: A-20

We.P19.A-20: INVESTIGATION OF PACEMAKER LEAD ABNORMALITY DETECTION USING STATISTICAL METHODS AND AUTOENCODER-BASED MODELS

Rumi Iwai, Kyushu University; Takunori Shimazaki, Jikei University of Health Care Sciences; Takanao Mine, Hyogo Medical University; Mitsuhiro Fukuda, Daisuke Anzai, Osaka Metropolitan University; Takeshi Yokoyama, Kyushu University

Poster Board: A-21

We.P19.A-21: A NOVEL MULTIMODAL DEEP LEARNING FRAMEWORK FOR GENERALIZABLE PARKINSON'S DISEASE DETECTION USING HANDWRITING AND SPEECH

Brian Rong, Lynbrook High School

Poster Board: A-22

We.P19.A-25: Improving Generalization Across Subjects and Days in HD-sEMG-Based Dynamic Hand Gesture Recognition via a Subject-Embedded Vision Transformer

Jirou Feng, Jung Kim, Korea Advanced Institute of Science and Technology (KAIST)

EMBC 2026