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Psychophysiology|November 16, 2023
Calibration-free blood pressure estimation based on a convolutional neural networkJinwoo Cho, Hangsik Shin, Ahyoung ChoiPhysiological Measurement|October 13, 2017
Reply to 'Comment on Photoplethysmography sampling frequency: pilot assessment of how low can we go to analyze pulse rate variability with reliability?'Ahyoung Choi, Hangsik ShinFrontiers in Physiology|July 28, 2018
Quantitative Analysis of the Effect of an Ectopic Beat on the Heart Rate Variability in the Resting ConditionAhyoung Choi, Hangsik ShinComputers in Biology and Medicine|March 27, 2022
Deep convolutional neural network-based signal quality assessment for photoplethysmogramHangsik ShinJournal of Clinical Monitoring and Computing|October 30, 2015
Ambient temperature effect on pulse rate variability as an alternative to heart rate variability in young adultHangsik ShinIEEE Journal of Biomedical and Health Informatics|February 14, 2022
XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular AgingHangsik ShinSensors (Basel, Switzerland)|March 10, 2022
Deep Convolutional Neural Network-Based Hemiplegic Gait Detection Using an Inertial Sensor Located Freely in a PocketHangsik ShinPsychophysiology|September 8, 2022
A novel method for non-invasive blood pressure estimation based on continuous pulse transit time: An observational studyHangsik ShinComputers in Biology and Medicine|July 31, 2024
Signal completion using generative adversarial networks for enhanced photoplethysmography measurement accuracyHangsik ShinSensors (Basel, Switzerland)|April 3, 2021
Recurrence Plot and Machine Learning for Signal Quality Assessment of Photoplethysmogram in Mobile EnvironmentDonggeun Roh, Hangsik ShinPageof 19