Hangsik Shin

Associate Professor

Asan Medical Center, University of Ulsan College of Medicine

South Korea

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About

Hangsik Shin is an Associate Professor at Asan Medical Center, University of Ulsan College of Medicine in South Korea (+82). His research focuses on non-invasive methods for blood pressure estimation and vascular aging assessment, utilizing advanced techniques such as deep convolutional neural networks and artificial neural networks. He has published extensively on photoplethysmogram analysis, signal quality assessment, and innovative wearable monitoring systems.

Articles (10)

Year:

2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2021

Year:

2021

Collaborators (1)

Oh-Seok Kwon

Yonsei University Health System

SOUTH KOREA

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Hangsik Shin

Research Interests

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About

Articles (10)

A novel method for non‐invasive blood pressure estimation based on continuous pulse transit time: An observational study

Photoplethysmogram based vascular aging assessment using the deep convolutional neural network

XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging

Deep convolutional neural network-based signal quality assessment for photoplethysmogram

Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study

Deep Convolutional Neural Network-Based Hemiplegic Gait Detection Using an Inertial Sensor Located Freely in a Pocket

Photoplethysmogram Analysis and Applications: An Integrative Review

Three-Dimensional Atrial Wall Thickness Measurement Algorithm From a Segmented Atrial Wall Using a Partial Differential Equation

Feasibility of a Waistband-Type Wireless Wearable Electrocardiogram Monitoring System Based on a Textile Electrode: Development and Usability Study

Recurrence Plot and Machine Learning for Signal Quality Assessment of Photoplethysmogram in Mobile Environment

Collaborators (1)

Oh-Seok Kwon

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