Qiao Li
Affiliations:- Emory University, Atlanta, GA, USA
According to our database1,
Qiao Li
authored at least 20 papers
between 2013 and 2024.
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Bibliography
2024
A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs.
Sensors, September, 2024
2023
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
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
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
Comput. Methods Programs Biomed., 2014
2013
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