Search Results - "Hong, JoonKi"

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  1. 1

    Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study by Kwon, Soonil, Hong, Joonki, Choi, Eue-Keun, Lee, Euijae, Hostallero, David Earl, Kang, Wan Ju, Lee, Byunghwan, Jeong, Eui-Rim, Koo, Bon-Kwon, Oh, Seil, Yi, Yung

    Published in JMIR mHealth and uHealth (06-06-2019)
    “…Wearable devices have evolved as screening tools for atrial fibrillation (AF). A photoplethysmographic (PPG) AF detection algorithm was developed and applied…”
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    Journal Article
  2. 2

    Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation by Tran, Hai Hong, Hong, Jung Kyung, Jang, Hyeryung, Jung, Jinhwan, Kim, Jongmok, Hong, Joonki, Lee, Minji, Kim, Jeong-Whun, Kushida, Clete A, Lee, Dongheon, Kim, Daewoo, Yoon, In-Young

    Published in Journal of medical Internet research (01-06-2023)
    “…The growing public interest and awareness regarding the significance of sleep is driving the demand for sleep monitoring at home. In addition to various…”
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    Journal Article
  3. 3

    Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation by Le, Vu Linh, Kim, Daewoo, Cho, Eunsung, Jang, Hyeryung, Reyes, Roben Delos, Kim, Hyunggug, Lee, Dongheon, Yoon, In-Young, Hong, Joonki, Kim, Jeong-Whun

    Published in Journal of medical Internet research (22-02-2023)
    “…Multinight monitoring can be helpful for the diagnosis and management of obstructive sleep apnea (OSA). For this purpose, it is necessary to be able to detect…”
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    Journal Article
  4. 4

    Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study by Lee, Taeyoung, Cho, Younghoon, Cha, Kwang Su, Jung, Jinhwan, Cho, Jungim, Kim, Hyunggug, Kim, Daewoo, Hong, Joonki, Lee, Dongheon, Keum, Moonsik, Kushida, Clete A, Yoon, In-Young, Kim, Jeong-Whun

    Published in JMIR mHealth and uHealth (02-11-2023)
    “…Consumer sleep trackers (CSTs) have gained significant popularity because they enable individuals to conveniently monitor and analyze their sleep. However,…”
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    Journal Article
  5. 5

    Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning by Hong, Joonki, Lee, Dongheon, Jeong, Eui-Rim, Yi, Yung

    Published in Applied energy (15-11-2020)
    “…This paper presents the first full end-to-end deep learning framework for the swift prediction of lithium-ion battery remaining useful life. While lithium-ion…”
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    Journal Article
  6. 6

    Accurate remaining range estimation for Electric vehicles by Hong, Joonki, Park, Sangjun, Chang, Naehyuck

    “…EVs (Electric vehicle) generally have only around 22% driving ranges compared with ICEVs (Internal combustion engine vehicle) with a similar price range…”
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    Conference Proceeding Journal Article
  7. 7

    0348 Sleep Staging Using End-to-End Deep Learning Model Based on Nocturnal Sound for Smartphones by Hong, Joonki, Tran, Hai, Jeong, Jinhwan, Jang, Hyeryung, Yoon, In-Young, Hong, Jung Kyung, Kim, Jeong-Whun

    Published in Sleep (New York, N.Y.) (25-05-2022)
    “…Abstract Introduction Convenient sleep tracking with mobile devices such as smartphones is desirable for people who want to easily objectify their sleep. The…”
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    Journal Article
  8. 8
  9. 9

    0949 Real-time acoustic apnea event detector by training a deep learning model with home noise added data by Le, Linh, Kim, Daewoo, Cho, Eunsung, Jang, Hyeryung, Reyes, Roben Delos, Kim, Hyunggug, Lee, Dongheon, Yoon, In-Young, Hong, Joonki, Kim, Jeong-Whun

    Published in Sleep (New York, N.Y.) (29-05-2023)
    “…Abstract Introduction For diagnosis and management of Obstructive Sleep Apnea (OSA), long-term multi-night monitoring is crucial. Convenient detection of OSA…”
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    Journal Article
  10. 10

    0950 Sound-based Sleep Staging at Home Using Smartphone via Deep Learning by Tran, Hai, Hong, Jung Kyung, Jang, Hyeryung, Jung, Jinhwan, Kim, Jongmok, Hong, Joonki, Lee, Minji, Kim, Jeong-Whun, Kushida, Clete, Lee, Dongheon, Kim, Daewoo, Yoon, In-Young

    Published in Sleep (New York, N.Y.) (29-05-2023)
    “…Abstract Introduction Daily sleep tracking at home is growing in demand as more and more people are aware of the significance of sleep. The objective of this…”
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    Journal Article
  11. 11

    Minimum-energy driving speed profiles for low-speed electric vehicles by Baek, Donkyu, Hong, Joonki, Chang, Naehyuck

    “…Electric vehicles (EV) are rapidly invading the previous internal combustion engine vehicle (ICEV) market introducing not only environmental friendliness and a…”
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    Conference Proceeding Journal Article
  12. 12

    In-Home Smartphone-Based Prediction of Obstructive Sleep Apnea in Conjunction With Level 2 Home Polysomnography by Han, Seung Cheol, Kim, Daewoo, Rhee, Chae-Seo, Cho, Sung-Woo, Le, Vu Linh, Cho, Eun Sung, Kim, Hyunggug, Yoon, In-Young, Jang, Hyeryung, Hong, Joonki, Lee, Dongheon, Kim, Jeong-Whun

    Published in JAMA otolaryngology-- head & neck surgery (01-01-2024)
    “…Consumer-level sleep analysis technologies have the potential to revolutionize the screening for obstructive sleep apnea (OSA). However, assessment of OSA…”
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    Journal Article
  13. 13

    Effects of genetic variants for the swine FABP3, HMGA1, MC4R, IGF2, and FABP4 genes on fatty acid composition by Hong, Joonki, Kim, Duwan, Cho, Kyuho, Sa, Soojin, Choi, Sunho, Kim, Younghwa, Park, Juncheol, Schmidt, Gilberto Silber, Davis, Michael E., Chung, Hoyoung

    Published in Meat science (01-12-2015)
    “…This study aimed to verify genetic relationships between fatty acid composition (FAC) and genotypes of several genes (FABP3, HMGA1, MC4R, IGF2, and FABP4)…”
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    Journal Article
  14. 14

    Dissecting Stop Transfer versus Conservative Sorting Pathways for Mitochondrial Inner Membrane Proteins in Vivo by Park, Kwangjin, Botelho, Salomé Calado, Hong, Joonki, Österberg, Marie, Kim, Hyun

    Published in The Journal of biological chemistry (18-01-2013)
    “…Mitochondrial inner membrane proteins that carry an N-terminal presequence are sorted by one of two pathways: stop transfer or conservative sorting. However,…”
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    Journal Article
  15. 15

    End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices by Hong, Joonki, HongTran, Hai, Jung, Jinhwan, Jang, Hyeryung, Lee, Dongheon, Yoon, In-Young, Hon, Jung Kyung, Kim, Jeong-Whun

    Published in Nature and science of sleep (30-06-2022)
    “…Purpose: Nocturnal sounds contain numerous information and are easily obtainable by a non-contact manner. Sleep staging using nocturnal sounds recorded from…”
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    Journal Article
  16. 16

    Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring by Hong, Jung Kyung, Lee, Taeyoung, Delos Reyes, Roben Deocampo, Hong, Joonki, Tran, Hai Hong, Lee, Dongheon, Jung, Jinhwan, Yoon, In-Young

    Published in Nature and science of sleep (01-01-2021)
    “…Automated sleep stage scoring is not yet vigorously used in practice because of the black-box nature and the risk of wrong predictions. The objective of this…”
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    Journal Article
  17. 17

    Development of single cantilever beam method to measure the adhesion of thin film adhesive on silicon chip by Shin, DongKil, Lee, JungJu, Yoon, ChulKeun, Lee, GyuJei, Hong, JoonKi, Kim, NamSuk

    Published in Engineering fracture mechanics (01-01-2015)
    “…•The SCB was successfully modified to measure the adhesion of film adhesive.•The specimen was designed without attachment of any adherend.•Delamination was…”
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    Journal Article
  18. 18

    Parameterized slot scheduling for adaptive and autonomous TSCH networks by Jung, Jinhwan, Kim, Daewoo, Hong, Joonki, Kang, Joohyun, Yi, Yung

    “…Internet of things (IoT) technologies have been widely used in various applications, especially in industrial field, which often require energy efficiency,…”
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    Conference Proceeding
  19. 19

    Distributed Reinforcement Learning Control for Batch Sequencing and Sizing in Just-In-Time Manufacturing Systems by Hong, Joonki, Prabhu, Vittaldas V

    “…Issue Title: Special Issue: Machine Learning Policies This paper presents an approach that is suitable for Just-In-Time (JIT) production for multi-objective…”
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    Journal Article
  20. 20

    The effect of ultrasonic power on bonding pad and IMD layers in ultrasonic wire bonding by Insu Jeon, Qwanho Chung, Joonki Hong, Kwangyoo Byun

    “…The effect of ultrasonic power on the reliability of bonding pad and IMD (intermetallic dielectric) layers has been investigated with numerical analysis and…”
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    Conference Proceeding