AI-WM Lab

(Previously Biomedical Analysis and Medical Instrumentation (BAMI) Lab)

Welcome to Artificial Intelligence in Wearable and Medical Applications (AI-WM) Lab (Since 2013)

AI-WM (Artificial Intelligence in Wearable and Medical Applications) Lab is a research group at Biomedical Engineering, Kyung Hee University, Korea. The research goals span a variety of wearable and medical applications with machine learning and deep learning. Our mission is to enhance the quality of life for all people, especially in aging society.

Best papers of 2023

H. Chung†, H. Ko†, H. Lee, D. K. Yeon, W. H. Lee, T. Kim, K. W. Kim* and J. Lee*, "Development and validation of a deep learning model to diagnose COVID-19 using time-series heart rate values before the onset of symptoms", Journal of Medical Virology, Vol. 95, No. 2, 2023 (IF: 20.693).

H. Chung†, Y. Ko†, I. Lee†, H. Hur, J. Huh, S. Han, K. W. Kim* and J. Lee*, "Prognostic AI Model to predict Five-year survival at One-Year after Gastric cancer Surgery based on nutrition and body morphometry", (Accepted) Journal of Cachexia, Sarcopenia and Muscle, 2023 (IF: 12.063)

Best papers of 2022

H. Lee, H. Chung, H. Ko, A. Paris, A. Busacca, L. Faes, R. Pernice*, and J. Lee*, "Adaptive Scheduling of Acceleration and Gyroscope for Motion Artifact Cancelation in Photoplethysmography", Computer Methods and Programs in Biomedicine, 226 (2022), 2022 (IF: 7.027).

Best papers of 2021

H. Chung, Y. Jo, D. Ryu, C. Jeong, S-K. Choe* and J. Lee*, "Artificial-intelligence-driven discovery of prognostic biomarker for sarcopenia", Journal of Cachexia, Sarcopenia and Muscle 2021; 12 (IF: 12.910)

Best papers of 2020

H. Ko, H. Chung, W. S. Kang, K. W. Kim, Y. Shin, S. J. Kang, J. H. Lee, Y. J. Kim, N. Y. Kim, H. S. Jung and J. Lee*, “COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation", Journal of Medical Internal Research, Vol. 22, Issue 6, 2020 (IF: 5.428).

Best papers of 2019

J. Lee*, H. Chung and H. Lee, “Multi-mode Particle Filtering Methods for Heart Rate Estimation from Wearable Photoplethysmography”, IEEE Transactions on Biomedical Engineering, Vol. 66, No. 10, 2019 (IF: 4.538).

H. Chung, H. Lee and J. Lee*, "Finite State Machine Framework for Instantaneous Heart Rate Validation using Wearable Photoplethysmography During Intensive Exercise", IEEE Journal of Biomedical and Health Informatics, Vol. 23, No 4, 2019 (IF: 4.217) .

Best papers before 2019

J. Lee*, Y. Nam, D. D. McManus, and K. H. Chon "Time-Varying Coherence Function for Atrial Fibrillation Detection", IEEE Transactions on Biomedical Engineering, vol. 60, no. 10, 2013.

J. Lee**, David D. McManus**, Oscar Mathias, Nada Esa, Rahul Pikiditi, Alex Carlucci, Josephine Harrington, Eric Mick and Ki H. Chon, "A Novel Application for the Detection of an Irregular Pulse using an iPhone 4S in Patients with Atrial Fibrillation", Heart Rhythm, vol. 10, no. 3, 2013. (**Co-First authors)

J. Lee, B. A. Reyes, D. D. McManus, O. Mathias and K. H. Chon* "Atrial Fibrillation Detection using an iPhone 4S " IEEE Transactions on Biomedical Engineering, vol. 60, no 1, 2013.

C. G, Scully, J. Lee, A. M. Gorbach, D. G. Fraser, Y. Mendelson and K. Chon* "Physiological Parameter Monitoring from Optical Recordings with a Mobile Phone," IEEE Transactions on Biomedical Engineering, vol. 59, no 2, 2012.

J. Lee and K. Chon* "Time-Varying Autoregressive Model-Based Multiple Modes Particle Filtering Algorithm for Respiratory Rate Extraction From Pulse Oximeter," IEEE Transactions on Biomedical Engineering, vol. 58, no.3, 2011.

J. Lee* and K. Chon "An Autoregressive Model-Based Particle Filtering Algorithms for Extraction of Respiratory Rates as High as 90 Breaths per Minute from Pulse Oximeter," IEEE Transactions on Biomedical Engineering, vol. 57, no.9, 2010.

J. Lee* and K. Chon "Respiratory Rate Extraction via an Autoregressive Model using the Optimal Parameter Search Criterion," Annals of Biomedical Engineering, vol. 38, no. 10, 2010.

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