Joonki Hong

发表

End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices

Hyeryung Jang, I. Yoon, Jinhwan Jung, 2022, Nature and science of sleep.

End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices

Hyeryung Jang, I. Yoon, Jinhwan Jung, 2022 .

Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study

Soonil Kwon, Joonki Hong, Bon-Kwon Koo, 2020, Journal of medical Internet research.

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Soonil Kwon, David Earl Hostallero, Joonki Hong, 2019, JMIR mHealth and uHealth.

Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning

Yung Yi, Eui-Rim Jeong, Joonki Hong, 2020 .

Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring

I. Yoon, Jinhwan Jung, Dongheon Lee, 2021, Nature and science of sleep.

NSS_A_333566 2239..2250

I. Yoon, Jinhwan Jung, Dongheon Lee, 2021 .

On Self-Configuring IoT With Dual Radios: A Cross-Layer Approach

Jinhwan Jung, Joonki Hong, Yung Yi, 2022, IEEE Transactions on Mobile Computing.

Parameterized slot scheduling for adaptive and autonomous TSCH networks

Yung Yi, Jinhwan Jung, Daewoo Kim, 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study

Seil Oh, B. Koo, E. Choi, 2020, Journal of medical Internet research.

Accurate remaining range estimation for Electric vehicles

Naehyuck Chang, Sangjun Park, Joonki Hong, 2016, 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC).

In-Home Smartphone-Based Prediction of Obstructive Sleep Apnea in Conjunction With Level 2 Home Polysomnography.

Jeong-Whun Kim, Sung-Woo Cho, Hyunggug Kim, 2023, JAMA otolaryngology-- head & neck surgery.

Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

Hyeryung Jang, Daewoo Kim, C. Kushida, 2023, Journal of medical Internet research.

Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

C. Kushida, Jinhwan Jung, Hyunggug Kim, 2023, JMIR mHealth and uHealth.