Qiao Li

According to our database, Qiao Li authored at least 19 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising.

Mircea Dumitru, Qiao Li, Erick Andres Perez-Alday, Ali Bahrami Rad, Gari D. Clifford, Reza Sameni

CoRR, 2023

VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors.

Li-Wei H. Lehman, Benjamin Moody, Harsh Deep, Feng Wu, Hasan Saeed, Lucas McCullum, Diane Perry, Tristan Struja, Qiao Li, Gari D. Clifford, Roger G. Mark

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.

Lucas McCullum, Hasan Saeed, Benjamin Moody, Diane Perry, Eric Gottlieb, Tom J. Pollard, Xavier Borrat Frigola, Qiao Li, Gari D. Clifford, Roger G. Mark, Li-Wei H. Lehman

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.

Ayse S. Cakmak, Erick Andres Perez-Alday, Giulia Da Poian, Ali Bahrami Rad, Thomas J. Metzler, Thomas Neylan, Stacey L. House, Francesca L. Beaudoin, Xinming An, Jennifer S. Stevens, Donglin Zeng, Sarah D. Linnstaedt, Tanja Jovanovic, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, Christopher A. Lewandowski, Phyllis L. Hendry, Sophia Sheikh, Alan B. Storrow, Paul I. Musey, John P. Haran, Christopher W. Jones, Brittany E. Punches, Robert A. Swor, Nina T. Gentile, Meghan McGrath, Mark J. Seamon, Kamran Mohiuddin, Anna M. Chang, Claire Pearson, Robert M. Domeier, Steven E. Bruce, Brian J. O'Neil, Niels K. Rathlev, Leon D. Sanchez, Robert H. Pietrzak, Jutta Joormann, Deanna M. Barch, Diego A. Pizzagalli, Steven E. Harte, James M. Elliott, Ronald C. Kessler, Karestan C. Koenen, Kerry J. Ressler, Samuel A. McLean, Qiao Li, Gari D. Clifford

IEEE J. Biomed. Health Informatics, 2021

Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021.

Matthew A. Reyna, Nadi Sadr, Erick Andres Perez-Alday, Annie Gu, Amit J. Shah, Chad Robichaux, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, Sardar Ansari, Hamid Ghanbari, Qiao Li, Ashish Sharma, Gari D. Clifford

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

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

Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford

CoRR, 2020

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

Matthew A. Reyna, Erick Andres Perez-Alday, Annie Gu, Chengyu Liu, Salman Seyedi, Ali Bahrami Rad, Andoni Elola, Qiao Li, Ashish Sharma, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2020

2018

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

Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2018

2017

Combining Multi-source Features and Support Vector Machine for Heart Rhythm Classification.

Chengyu Liu, Qiao Li, Pradyumna B. Suresha, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2017

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

Gari D. Clifford, Chengyu Liu, Benjamin Moody, Li-Wei H. Lehman, Ikaro Silva, Qiao Li, Alistair E. W. Johnson, Roger G. Mark

Proceedings of the Computing in Cardiology, 2017

Sleep Questionnaires in Screening for Obstructive Sleep Apnea.

Joachim A. Behar, Niclas Palmius, Jonathan Daly, Qiao Li, Fabiola Rizzatti, Lia Bittencourt, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2017

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology.

Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati

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.

Gari D. Clifford, Chengyu Liu, David B. Springer, Benjamin Moody, Qiao Li, Ricardo C. Abad, José Millet, Ikaro Silva, Alistair E. W. Johnson, Roger G. Mark

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.

Chengyu Liu, Qiao Li, Gari D. Clifford

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.

Gari D. Clifford, Ikaro Silva, Benjamin Moody, Qiao Li, Danesh Kella, Abdullah Shahin, Tristan Kooistra, Diane Perry, Roger G. Mark

Proceedings of the Computing in Cardiology, 2015

2014

Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach.

Qiao Li, Cadathur Rajagopalan, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2014

A machine learning approach to multi-level ECG signal quality classification.

Qiao Li, Cadathur Rajagopalan, Gari D. Clifford

Comput. Methods Programs Biomed., 2014

2013

ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction.

Joachim Behar, Julien Oster, Qiao Li, Gari D. Clifford

IEEE Trans. Biomed. Eng., 2013

Open Source Java-based ECG analysis Software and Android app for Atrial Fibrillation Screening.

Julien Oster, Joachim Behar, Roberta Colloca, Qichen Li, Qiao Li, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2013