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Hyo-Ki Lee
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2020 – today
- 2023
- [j6]Karthik Srinivasan
, Faiz Currim, Casey Lindberg, Javad Razjouyan, Brian Gilligan, Hyo-Ki Lee, Kelli Canada, Nicole Goebel, Matthias R. Mehl, Melissa M. Lunden, Judith Heerwagen, Bijan Najafi
Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling. npj Digit. Medicine 6 (2023)
2010 – 2019
- 2018
- [j5]He Zhou
Motor Planning Error: Toward Measuring Cognitive Frailty in Older Adults Using Wearables. Sensors 18(3): 926 (2018) - [j4]Hadi Rahemi, Hung Nguyen
Toward Smart Footwear to Track Frailty Phenotypes - Using Propulsion Performance to Determine Frailty. Sensors 18(6): 1763 (2018) - 2017
- [c4]Karthik Srinivasan
A Regularization Approach for Identifying Cumulative Lagged Effects in Smart Health Applications. DH 2017: 99-103 - 2016
- [j3]Hyo-Ki Lee
New Rule-Based Algorithm for Real-Time Detecting Sleep Apnea and Hypopnea Events Using a Nasal Pressure Signal. J. Medical Syst. 40(12): 282:1-282:12 (2016) - [j2]Hyo-Ki Lee
Erratum to: Nasal pressure recordings for automatic snoring detection. Medical Biol. Eng. Comput. 54(12): 1969-1970 (2016) - [c3]Karthik Srinivasan
Feature Importance and Predictive Modeling for Multi-source Healthcare Data with Missing Values. Digital Health 2016: 47-54 - 2015
- [j1]Hyo-Ki Lee
Nasal pressure recordings for automatic snoring detection. Medical Biol. Eng. Comput. 53(11): 1103-1111 (2015) - 2013
- [c2]Hyo-Ki Lee
Automatic snoring detection from nasal pressure data. EMBC 2013: 6870-6872 - 2011
- [c1]Hyo-Ki Lee
Repeatability of the accelerometric-based method to detect step events for hemiparetic stroke patients. EMBC 2011: 5195-5198
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