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Zilu Liang

Showing results (1-10 of 38) with videos related to

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Frontiers in Medical Technology|November 21, 2022
Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adultsZilu Liang
Frontiers in Digital Health|June 29, 2026
Within-person modeling of postprandial glucose using multimodal wearable dataZilu Liang
Sleep & Breathing = Schlaf & Atmung|August 27, 2024
Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularityZilu Liang
Digital Health|November 8, 2023
Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screeningZilu Liang
Sensors (Basel, Switzerland)|April 28, 2025
Detection and Severity Classification of Sleep Apnea Using Continuous Wearable SpO<sub>2</sub> Signals: A Multi-Scale Feature ApproachNhung H Hoang, Zilu Liang
Frontiers in Digital Health|April 24, 2025
AI-driven sleep apnea screening with overnight blood oxygen saturation: current practices and future directionsNhung H Hoang, Zilu Liang
JMIR Mhealth and Uhealth|June 28, 2023
Knowledge Discovery in Ubiquitous and Personal Sleep Tracking: Scoping ReviewNhung Huyen Hoang, Zilu Liang
JMIR Mhealth and Uhealth|June 8, 2019
Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific FactorsZilu Liang, Mario Alberto Chapa-Martell
Neuron|April 2, 2026
When breaking down helps you move forward: Pursuing complex goalsZilu Liang, Miriam C Klein-Flügge
Frontiers in Digital Health|October 29, 2021
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity TrackersZilu Liang, Mario Alberto Chapa-Martell
Pageof 4

Showing results (1-10 of 38) with videos related to

Sort By:
Pageof 4
Frontiers in Medical Technology|November 21, 2022
Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adultsZilu Liang
Frontiers in Digital Health|June 29, 2026
Within-person modeling of postprandial glucose using multimodal wearable dataZilu Liang
Sleep & Breathing = Schlaf & Atmung|August 27, 2024
Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularityZilu Liang
Digital Health|November 8, 2023
Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screeningZilu Liang
Sensors (Basel, Switzerland)|April 28, 2025
Detection and Severity Classification of Sleep Apnea Using Continuous Wearable SpO<sub>2</sub> Signals: A Multi-Scale Feature ApproachNhung H Hoang, Zilu Liang
Frontiers in Digital Health|April 24, 2025
AI-driven sleep apnea screening with overnight blood oxygen saturation: current practices and future directionsNhung H Hoang, Zilu Liang
JMIR Mhealth and Uhealth|June 28, 2023
Knowledge Discovery in Ubiquitous and Personal Sleep Tracking: Scoping ReviewNhung Huyen Hoang, Zilu Liang
JMIR Mhealth and Uhealth|June 8, 2019
Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific FactorsZilu Liang, Mario Alberto Chapa-Martell
Neuron|April 2, 2026
When breaking down helps you move forward: Pursuing complex goalsZilu Liang, Miriam C Klein-Flügge
Frontiers in Digital Health|October 29, 2021
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity TrackersZilu Liang, Mario Alberto Chapa-Martell
Pageof 4