26-30 July 2026

EMBC 2026

Toronto, Canada
Th.2.2.4

Evaluating the Robustness and Generalization Ability of Deep Learning Models for Lung Sound Analysis

Alireza Fakhim Babaei, Miguel Coimbra, Francesco Renna, INESC TEC

Session:
Th.2.2: Respiratory Signal Processing Oral

Track:
Biomedical Signal Processing

Location:
Room 716A

Presentation Time:
Thursday, 30 July, 11:00 - 11:15

Session Co-Chairs:
Bradley Edelman and Delaram Sadatamin
Presentation
Discussion
Resources
No resources available.
Session Th.2.2
Th.2.2.1: META-ENSEMBLE LEARNING WITH DIVERSE DATA SPLITS FOR IMPROVED RESPIRATORY SOUND CLASSIFICATION
June-Woo Kim, Wonkwang University; Miika Toikkanen, Heejoon Koo, RSC LAB, MODULABS; Yoon Tae Kim, KAIST; Doyoung Kwon, AICU Global Inc.; Kyunghoon Kim, Seoul National University Bundang Hospita
Th.2.2.2: Development of a Non-Invasive Respiratory Monitoring System and Analysis of Sleep Respiratory Dynamics During Recovery from Upper Respiratory Infection in Healthy Children
Aoto Tajima, Tokyo Denki University; Shigenori Kawabata, Institute of Science Tokyo; Koji Kurusu, Azalee Nursery School; Minoru Ueda, Kuniyuki Okada, Okada Children’s Forest Clinic; Tatsuhiko Arafune, Tokyo Denki University
Th.2.2.3: PATIENT-LEVEL RESPIRATORY DISEASE DIAGNOSIS FROM MULTI-CHANNEL LUNG SOUNDS
Dang Nhat Minh Nguyen, FPT University; Truc Thi Kim Nguyen, University of Science and Technology - The University of Da Nang; Si Van Nguyen, University of Medicine and Pharmacy at Ho Chi Minh City; Thao Thi Nguyen Tran, Nghia Thanh Huu Ma, Hung Thanh Quach, Nguyen Trai Hospital; An Le Pham, University of Medicine and Pharmacy at Ho Chi Minh City; Franz Pernkopf, Graz University of Technology
Th.2.2.4: Evaluating the Robustness and Generalization Ability of Deep Learning Models for Lung Sound Analysis
Alireza Fakhim Babaei, Miguel Coimbra, Francesco Renna, INESC TEC
Th.2.2.5: LUNOS: A HYBRID SIGNAL PROCESSING AND DEEP LEARNING SYSTEM FOR AUTOMATED LUNG SOUND CLASSIFICATION
Raquel Andrea Calderon Gallardo, Universidad del Valle
Th.2.2.6: A REAL-TIME RESPIRATORY SIGNAL SEGMENTATION AND INSPIRATORY/EXPIRATORY PHASE CLASSIFICATION PIPELINE FOR ON-BODY MICROPHONE
Leksi Chen, Yuhong Zhang, Geonho Park, Brian Wuerstle, University of California, San Diego; Florian Chapotot, PSGlab.net Consulting; Min Suk Lee, Abhinav Uppal, Adyant Balaji, Zhaoyi Liu, Jiahao Song, University of California, San Diego; Esra Tasali, University of Chicago; Sheng Xu, Gert Cauwenberghs, Yuchen Xu, University of California, San Diego
Resources
No resources available.