World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
9595
World Ranking
4891
National Ranking
30

Overview

Kwang Suk Park is affiliated with Seoul National University in South Korea and conducts research primarily in the fields of Neuroscience and Medicine. Their work encompasses various subfields including Cognitive Neuroscience, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, and Neurology.

The scientist's research topics cover a range of areas, notably Sleep and Wakefulness Research, Non-Invasive Vital Sign Monitoring, EEG and Brain-Computer Interfaces, ECG Monitoring and Analysis, Parkinson's Disease Mechanisms and Treatments, Obstructive Sleep Apnea Research, and Air Quality Monitoring and Forecasting.

Frequent collaborators include Sang Ho Choi, Mi Hyun Lee, Yu Jin Lee, Heenam Yoon, and Hyun Bin Kwon. These coauthors have contributed to several works alongside Park, indicating active collaborative research efforts.

Park has published articles in several scientific venues, among which the most common are the IEEE Journal of Biomedical and Health Informatics, IEEE Access, Biomedical Engineering Letters, Sensors, and SLEEP.

Notable recent papers authored or coauthored by Park include:

  • Modulation of sleep using noninvasive stimulations during sleep, 2023, Biomedical Engineering Letters
  • Weak closed-loop vibrational stimulation improves the depth of slow-wave sleep and declarative memory consolidation, 2020, SLEEP
  • Attention-Based LSTM for Non-Contact Sleep Stage Classification Using IR-UWB Radar, 2021, IEEE Journal of Biomedical and Health Informatics
  • Hybrid CNN-LSTM Network for Real-Time Apnea-Hypopnea Event Detection Based on IR-UWB Radar, 2021, IEEE Access
  • Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor, 2020, IEEE Journal of Biomedical and Health Informatics

Best Publications

  • Ballistocardiography and Seismocardiography: A Review of Recent Advances

    Omer T. Inan;Pierre-Francois Migeotte;Kwang-Suk Park;Mozziyar Etemadi

  • Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone

    Sungjun Kwon;Hyunseok Kim;Kwang Suk Park

  • ECG Recording on a Bed During Sleep Without Direct Skin-Contact

    Yong Gyu Lim;Ko Keun Kim;Kwang Suk Park

  • A Smart Health Monitoring Chair for Nonintrusive Measurement of Biological Signals

    Hyun Jae Baek;Gih Sung Chung;Ko Keun Kim;Kwang Suk Park

  • Detrended fluctuation analysis of EEG in sleep apnea using MIT/BIH polysomnography data.

    Jong Min Lee;Dae Jin Kim;In Young Kim;Kwang Suk Park

  • Detection of Abnormal Living Patterns for Elderly Living Alone Using Support Vector Data Description

    Jae Hyuk Shin;Boreom Lee;Kwang Suk Park

  • Improved elimination of motion artifacts from a photoplethysmographic signal using a Kalman smoother with simultaneous accelerometry

    Boreom Lee;Jonghee Han;Hyun Jae Baek;Jae Hyuk Shin

  • Automatic Classification of Tremor Severity in Parkinson’s Disease Using a Wearable Device

    Hyo Seon Jeon;Woongwoo Lee;Hyeyoung Park;Hong Ji Lee

  • Air mattress sensor system with balancing tube for unconstrained measurement of respiration and heart beat movements

    Yongjoon Chee;Jooman Han;Jaewoong Youn;Kwangsuk Park

  • Flexible Capacitive Electrodes for Minimizing Motion Artifacts in Ambulatory Electrocardiograms

    Jeong Su Lee;Jeong Heo;Won Kyu Lee;Yong Gyu Lim

  • End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism.

    Heesang Eom;Dongseok Lee;Seungwoo Han;Yuli Sun Hariyani;Yuli Sun Hariyani

  • Nonconstrained Sleep Monitoring System and Algorithms Using Air-Mattress With Balancing Tube Method

    Jae Hyuk Shin;Young Joon Chee;Do-Un Jeong;Kwang Suk Park

  • CNT/PDMS-based canal-typed ear electrodes for inconspicuous EEG recording

    Joong Hoon Lee;Seung Min Lee;Hang Jin Byeon;Joung Sook Hong

  • Automated detection and elimination of periodic ECG artifacts in EEG using the energy interval histogram method

    Hae-Jeong Park;Do-Un Jeong;Kwang-Suk Park

  • Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network.

    Han Byul Kim;Woong Woo Lee;Aryun Kim;Hong Ji Lee

  • Non-constrained monitoring of systolic blood pressure on a weighing scale

    Jae Hyuk Shin;Kang Moo Lee;Kwang Suk Park

  • Automatic ballistocardiogram (BCG) beat detection using a template matching approach

    J. H. Shin;B. H. Choi;Y. G. Lim;D. U. Jeong

  • Automated sleep stage scoring using hybrid rule- and case-based reasoning

    Hae-Jeong Park;Jung-Su Oh;Do-Un Jeong;Kwang-Suk Park

  • Real-time apnea-hypopnea event detection during sleep by convolutional neural networks

    Sang Ho Choi;Heenam Yoon;Hyun Seok Kim;Han Byul Kim

  • Blind Separation of Cardiac Components and Extraction of Input Function from H215O Dynamic Myocardial PET Using Independent Component Analysis

    Jae Sung Lee;Dong Soo Lee;Ji Young Ahn;Gi Jeong Cheon

  • The effect of missing RR-interval data on heart rate variability analysis in the frequency domain

    Ko Keun Kim;Jung Soo Kim;Yong Gyu Lim;Kwang Suk Park

  • A Novel Wearable Forehead EOG Measurement System for Human Computer Interfaces

    Jeong Heo;Hee Nam Yoon;Kwang Suk Park

Frequent Co-Authors

Hae-Jeong Park
Hae-Jeong Park Yonsei University
In Kyoon Lyoo
In Kyoon Lyoo Ewha Womans University
Omer T. Inan
Omer T. Inan Georgia Institute of Technology
In Young Kim
In Young Kim Hanyang University
Miyoung Kim
Miyoung Kim Seoul National University
Hyun Kim
Hyun Kim Korea University

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