Qiao Li

Affiliations:
  • Emory University, Atlanta, GA, USA


According to our database1, Qiao Li authored at least 20 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs.
Sensors, September, 2024

2023
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising.
CoRR, 2023

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms.
Proceedings of the Computing in Cardiology, 2022

2021
Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort.
IEEE J. Biomed. Health Informatics, 2021

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data.
CoRR, 2020

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020.
Proceedings of the Computing in Cardiology, 2020

2018
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018.
Proceedings of the Computing in Cardiology, 2018

2017
Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification.
Proceedings of the Computing in Cardiology, 2017

AF Classification from a Short Single Lead ECG Recording: the Physionet Computing in Cardiology Challenge 2017.
Proceedings of the Computing in Cardiology, 2017

Sleep Questionnaires in Screening for Obstructive Sleep Apnea.
Proceedings of the Computing in Cardiology, 2017

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Evaluation of the Accuracy and Noise Response of an Open-source Pulse Onset Detection Algorithm on Pulsatile Waveform Databases.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
The PhysioNet/Computing in Cardiology Challenge 2015: Reducing False Arrhythmia Alarms in the ICU.
Proceedings of the Computing in Cardiology, 2015

2014
Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach.
IEEE Trans. Biomed. Eng., 2014

A machine learning approach to multi-level ECG signal quality classification.
Comput. Methods Programs Biomed., 2014

2013
ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction.
IEEE Trans. Biomed. Eng., 2013

Open Source Java-based ECG analysis Software and Android app for Atrial Fibrillation Screening.
Proceedings of the Computing in Cardiology, 2013


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