Joonki Hong
Seoul, Republic of Korea
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 14 publications
Continuous Monitoring of Positive Airway Pressure Therapy with a Smartphone-Based Home Sleep Apnea Test.
Journal: Medicina (Kaunas, Lithuania)
Published: April 10, 2026
Polysomnographic Evidence of Enhanced Sleep Quality with Adaptive Thermal Regulation.
Journal: Healthcare (Basel, Switzerland)
Published: July 28, 2025
Evaluation of sound-based sleep stage prediction in shared sleeping settings.
Journal: Sleep medicine
Published: January 05, 2025
Real-Time Snoring Detection Using Deep Learning: A Home-Based Smartphone Approach for Sleep Monitoring.
Journal: Nature and science of sleep
Published: January 05, 2025
In-Home Smartphone-Based Prediction of Obstructive Sleep Apnea in Conjunction With Level 2 Home Polysomnography.
Journal: JAMA otolaryngology-- head & neck surgery
Published: November 16, 2023
Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study.
Journal: JMIR mHealth and uHealth
Published: July 18, 2023
Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation.
Journal: Journal of medical Internet research
Published: February 02, 2023
Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation.
Journal: Journal of medical Internet research
Published: December 05, 2022
End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices.
Journal: Nature and science of sleep
Published: February 08, 2022
Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring.
Journal: Nature and science of sleep
Published: August 16, 2021
Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study.
Journal: Journal of medical Internet research
Published: September 30, 2019
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.
Journal: JMIR mHealth and uHealth
Published: November 09, 2018
Last Updated: 09/26/2026