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JangJay Sohn

Showing results (1-10 of 6) with videos related to

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Scientific Reports|April 13, 2026
SleepPACNet: new convolutional neural network considering phase-amplitude coupling for automatic sleep stage classification using single-channel electroencephalogramTaegyeong Lee, Hyerin Nam, JangJay Sohn, et al.
Diagnostics (Basel, Switzerland)|April 30, 2021
Machine-Learning-Based Rehabilitation Prognosis Prediction in Patients with Ischemic Stroke Using Brainstem Auditory Evoked PotentialJangjay Sohn, Il-Young Jung, Yunseo Ku, 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.
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.
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.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Scientific Reports|April 13, 2026
SleepPACNet: new convolutional neural network considering phase-amplitude coupling for automatic sleep stage classification using single-channel electroencephalogramTaegyeong Lee, Hyerin Nam, JangJay Sohn, et al.
Diagnostics (Basel, Switzerland)|April 30, 2021
Machine-Learning-Based Rehabilitation Prognosis Prediction in Patients with Ischemic Stroke Using Brainstem Auditory Evoked PotentialJangjay Sohn, Il-Young Jung, Yunseo Ku, 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.
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.
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.
Pageof 1