Ki H. Chon

Ki H. Chon

University of Connecticut

H-index: 59

North America-United States

About Ki H. Chon

Ki H. Chon, With an exceptional h-index of 59 and a recent h-index of 43 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of Biosignal processing, medical instrumentation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Minimax Rao-Blackwellized Particle Filtering in 2D LIDAR SLAM

Tracking Tidal Volume from Holter and Wearable Armband Electrocardiogram Monitoring

Prediction of central nervous system oxygen toxicity symptoms using electrodermal activity and machine learning

Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives

Analysis of sympathetic responses to cognitive stress and pain through skin sympathetic nerve activity and electrodermal activity

Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder

Noise reduction in photoplethysmography signals using a convolutional denoising autoencoder with unconventional training scheme

Conductive polymer electrodes, wiring elements, and use thereof in health and sports monitoring

Ki H. Chon Information

University

Position

Professor of Biomedical Engineering

Citations(all)

12605

Citations(since 2020)

6649

Cited By

8138

hIndex(all)

59

hIndex(since 2020)

43

i10Index(all)

224

i10Index(since 2020)

153

Email

University Profile Page

Google Scholar

Ki H. Chon Skills & Research Interests

Biosignal processing

medical instrumentation

Top articles of Ki H. Chon

Minimax Rao-Blackwellized Particle Filtering in 2D LIDAR SLAM

International Journal of Control, Automation and Systems

2024/4/26

Tracking Tidal Volume from Holter and Wearable Armband Electrocardiogram Monitoring

IEEE Journal of Biomedical and Health Informatics

2024/4/1

Prediction of central nervous system oxygen toxicity symptoms using electrodermal activity and machine learning

Biocybernetics and biomedical engineering

2024/4/1

Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives

Cardiovascular Digital Health Journal

2024/2/24

Analysis of sympathetic responses to cognitive stress and pain through skin sympathetic nerve activity and electrodermal activity

Computers in Biology and Medicine

2024/3/1

Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder

Expert Systems with Applications

2024/3/1

Noise reduction in photoplethysmography signals using a convolutional denoising autoencoder with unconventional training scheme

IEEE Transactions on Biomedical Engineering

2023/9/8

Conductive polymer electrodes, wiring elements, and use thereof in health and sports monitoring

2023/8/10

Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction

Neural Networks

2023/8/1

Anxiety, patient activation, and quality of life among stroke survivors prescribed smartwatches for atrial fibrillation monitoring

Cardiovascular Digital Health Journal

2023/8/1

Methods, systems, and apparatuses for the detection of pain related symptoms

2023/7/27

Design and evaluation of deep learning models for continuous acute pain detection based on phasic electrodermal activity

IEEE Journal of Biomedical and Health Informatics

2023/7/3

Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance

Artificial Intelligence in Medicine

2023/6/1

Epicore Discovery Patch® sweat collection system to assess sweat proteomics-based biomarker discovery in exercise-heat stress and acclimation

2023/5/23

Automated condition-based suppression of cpr artifacts in ecg data

2023/5/4

Differentiating between stress-and EPT-induced electrodermal activity during dental examination

Computers in biology and medicine

2023/3/1

The use of electrodermal activity in pulpal diagnosis and dental pain assessment

International endodontic journal

2023/3

A literature embedding model for cardiovascular disease prediction using risk factors, symptoms, and genotype information

Expert Systems with Applications

2023/3/1

A smartwatch system for continuous monitoring of atrial fibrillation in older adults after stroke or transient ischemic attack: application design study

JMIR cardio

2023/2/13

Fe-impregnated walnut shell biochars using iron mine tailing wastes as an efficient adsorbent for removal of synthetic dyes

Desalination and Water Treatment

2023/4

See List of Professors in Ki H. Chon University(University of Connecticut)

Co-Authors

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