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Joonnyong Lee

Showing results (1-10 of 16) with videos related to

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Computers in Biology and Medicine|November 22, 2025
Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysisMatthew B Webster, Dongheon Lee, Joonnyong Lee
Journal of Clinical Medicine|October 27, 2019
Analysis of Pulse Arrival Time as an Indicator of Blood Pressure in a Large Surgical Biosignal Database: Recommendations for Developing Ubiquitous Blood Pressure Monitoring MethodsJoonnyong Lee, Seungman Yang, Saram Lee, et al.
Journal of Healthcare Informatics Research|January 26, 2024
Validation of Electrocardiogram Based Photoplethysmogram Generated Using U-Net Based Generative Adversarial NetworksJangjay Sohn, Heean Shin, Joonnyong Lee, et al.
Biomedical Engineering Letters|October 24, 2023
Development of generalizable automatic sleep staging using heart rate and movement based on large databasesJoonnyong Lee, Hee Chan Kim, Yu Jin Lee, et al.
Biomedical Engineering Online|June 20, 2018
Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximationJoonnyong Lee, JangJay Sohn, Jonghyun Park, et al.
Sensors (Basel, Switzerland)|June 13, 2020
Reconstruction of 12-Lead Electrocardiogram from a Three-Lead Patch-Type Device Using a LSTM NetworkJangjay Sohn, Seungman Yang, Joonnyong Lee, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction With Pulse Arrival Time in Large Open DatabasesSeungman Yang, Jangjay Sohn, Saram Lee, et al.
PM & R : the Journal of Injury, Function, and Rehabilitation|March 16, 2015
Quantification of Lumbar Stability During Wall Plank-and-Roll Activity Using Inertial SensorsChiyul Yoon, Joonnyong Lee, Keewon Kim, et al.
Scientific Reports|June 9, 2026
Masked autoencoder pretraining for peripheral nerve segmentation in ultrasound imagesMatthew Webster, Ko Eun Kim, Jaewon Lim, et al.
PM & R : the Journal of Injury, Function, and Rehabilitation|July 23, 2018
Lumbar Stability in Healthy Individuals and Low Back Pain Patients Quantified by Wall Plank-and-Roll TestJoonnyong Lee, Chiyul Yoon, Keewon Kim, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|November 22, 2025
Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysisMatthew B Webster, Dongheon Lee, Joonnyong Lee
Journal of Clinical Medicine|October 27, 2019
Analysis of Pulse Arrival Time as an Indicator of Blood Pressure in a Large Surgical Biosignal Database: Recommendations for Developing Ubiquitous Blood Pressure Monitoring MethodsJoonnyong Lee, Seungman Yang, Saram Lee, et al.
Journal of Healthcare Informatics Research|January 26, 2024
Validation of Electrocardiogram Based Photoplethysmogram Generated Using U-Net Based Generative Adversarial NetworksJangjay Sohn, Heean Shin, Joonnyong Lee, et al.
Biomedical Engineering Letters|October 24, 2023
Development of generalizable automatic sleep staging using heart rate and movement based on large databasesJoonnyong Lee, Hee Chan Kim, Yu Jin Lee, et al.
Biomedical Engineering Online|June 20, 2018
Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximationJoonnyong Lee, JangJay Sohn, Jonghyun Park, et al.
Sensors (Basel, Switzerland)|June 13, 2020
Reconstruction of 12-Lead Electrocardiogram from a Three-Lead Patch-Type Device Using a LSTM NetworkJangjay Sohn, Seungman Yang, Joonnyong Lee, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction With Pulse Arrival Time in Large Open DatabasesSeungman Yang, Jangjay Sohn, Saram Lee, et al.
PM & R : the Journal of Injury, Function, and Rehabilitation|March 16, 2015
Quantification of Lumbar Stability During Wall Plank-and-Roll Activity Using Inertial SensorsChiyul Yoon, Joonnyong Lee, Keewon Kim, et al.
Scientific Reports|June 9, 2026
Masked autoencoder pretraining for peripheral nerve segmentation in ultrasound imagesMatthew Webster, Ko Eun Kim, Jaewon Lim, et al.
PM & R : the Journal of Injury, Function, and Rehabilitation|July 23, 2018
Lumbar Stability in Healthy Individuals and Low Back Pain Patients Quantified by Wall Plank-and-Roll TestJoonnyong Lee, Chiyul Yoon, Keewon Kim, et al.
Pageof 2