Ki H. Chon

University of Connecticut

United States

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Articles (7)

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (4)

Youngsun Kong

University of Connecticut

UNITED STATES

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João Fonseca

Full Professor

Universidade do Porto Faculdade de Medicina

PORTUGAL

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Hugo Posada-Quintero

Assistant Professor

University of Connecticut

UNITED STATES

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Jesús Lázaro

Assistant Professor (Profesor Ayudante Doctor)

Universidad de Zaragoza

SPAIN

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Ki H. Chon

Research Interests

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Contact this professor

Articles (7)

Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme

A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia

Design and Validation of a Multimodal Wearable Device for Simultaneous Collection of Electrocardiogram, Electromyogram, and Electrodermal Activity

Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices’ Quality and Robustness against Motion Artifact

Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System

Automated Condition-Based Suppression of the CPR Artifact in ECG Data to Make a Reliable Shock Decision for AEDs during CPR

Atrial Fibrillation Prediction from Critically Ill Sepsis Patients

Collaborators (4)

Youngsun Kong

João Fonseca

Hugo Posada-Quintero

Jesús Lázaro

Make your next move.

Ki H. Chon

Research Interests

Explore related searches

Contact this professor

Articles (7)

Noise Reduction in Photoplethysmography Signals Using a Convolutional Denoising Autoencoder With Unconventional Training Scheme

A Real-Time PPG Peak Detection Method for Accurate Determination of Heart Rate during Sinus Rhythm and Cardiac Arrhythmia

Design and Validation of a Multimodal Wearable Device for Simultaneous Collection of Electrocardiogram, Electromyogram, and Electrodermal Activity

Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices&rsquo; Quality and Robustness against Motion Artifact

Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System

Automated Condition-Based Suppression of the CPR Artifact in ECG Data to Make a Reliable Shock Decision for AEDs during CPR

Atrial Fibrillation Prediction from Critically Ill Sepsis Patients

Collaborators (4)

Youngsun Kong

João Fonseca

Hugo Posada-Quintero

Jesús Lázaro

Make your next move.

Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices’ Quality and Robustness against Motion Artifact