Qiao Li

Qiao Li

University of Oxford

H-index: 31

Europe-United Kingdom

About Qiao Li

Qiao Li, With an exceptional h-index of 31 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Multi-dimensional Biomedical Signal Processing, Advanced Patient Monitoring, Artifact and Noise Analysis, Machine Learning, Physiological Database.

His recent articles reflect a diverse array of research interests and contributions to the field:

An algorithmic crowdsourcing approach for atrial fibrillation detection on Apple Watch ECG data

A data-driven Gaussian process filter for electrocardiogram denoising

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

QT-interval estimation improved with fusion of multiple machine-based annotators

Boosting the performance of a fusion-based lead-specific a-fib detection algorithm by voting between multiple leads of independent algorithms

P639.“Ask Your Heart What It Doth Know”: 100+ Heart Rate Variability-Based Biomarkers of Mental and Physical Health Identified in a Large Cohort of Trauma Survivors

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms

Methods and Systems for Determining Abnormal Cardiac Activity

Qiao Li Information

University

Position

Postdoctoral Research Fellow in IBME Dept. Engineering Science

Citations(all)

6062

Citations(since 2020)

4356

Cited By

3191

hIndex(all)

31

hIndex(since 2020)

28

i10Index(all)

38

i10Index(since 2020)

36

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Qiao Li Skills & Research Interests

Multi-dimensional Biomedical Signal Processing

Advanced Patient Monitoring

Artifact and Noise Analysis

Machine Learning

Physiological Database

Top articles of Qiao Li

Title

Journal

Author(s)

Publication Date

An algorithmic crowdsourcing approach for atrial fibrillation detection on Apple Watch ECG data

Journal of Electrocardiology

Ali Bahrami Rad

Miguel Kirsch

Qiao Li

Joel Xue

Reza Sameni

...

2023/5/1

A data-driven Gaussian process filter for electrocardiogram denoising

arXiv preprint arXiv:2301.02607

Mircea Dumitru

Qiao Li

Erick Andres Perez Alday

Ali Bahrami Rad

Gari D Clifford

...

2023/1/6

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

H Lehman Li-wei

Benjamin E Moody

Harsh Deep

Feng Wu

Hasan Saeed

...

2023/11/2

QT-interval estimation improved with fusion of multiple machine-based annotators

Journal of Electrocardiology

Qiao Li

Mircea Dumitru

Erick Andres Perez Alday

Ali Bahrami Rad

Sina Dabiri

...

2022/7/1

Boosting the performance of a fusion-based lead-specific a-fib detection algorithm by voting between multiple leads of independent algorithms

Journal of Electrocardiology

Ali Bahrami Rad

Erick Andres Perez Alday

Conner Galloway

Qiao Li

Mircea Dumitru

...

2022/7/1

P639.“Ask Your Heart What It Doth Know”: 100+ Heart Rate Variability-Based Biomarkers of Mental and Physical Health Identified in a Large Cohort of Trauma Survivors

Biological Psychiatry

Lindsay Macchio

Lauriane Guichard

Yinyao Ji

Xinming An

Thomas Neylan

...

2022/5/1

PhysioTag: An Open-Source Platform for Collaborative Annotation of Physiological Waveforms

Lucas McCullum

Hasan Saeed

Benjamin Moody

Diane Perry

Eric Gottlieb

...

2022/9/4

Methods and Systems for Determining Abnormal Cardiac Activity

2022/4/28

Age, sex and race bias in automated arrhythmia detectors

Journal of Electrocardiology

Erick A Perez Alday

Ali B Rad

Matthew A Reyna

Nadi Sadr

Annie Gu

...

2022/9/1

Issues in the automated classification of multilead ECGs using heterogeneous labels and populations

Physiological measurement

Matthew A Reyna

Nadi Sadr

Erick A Perez Alday

Annie Gu

Amit J Shah

...

2022/8/26

Atrial fibrillation detection in outpatient electrocardiogram monitoring: An algorithmic crowdsourcing approach

Plos one

Ali Bahrami Rad

Conner Galloway

Daniel Treiman

Joel Xue

Qiao Li

...

2021/11/16

Will two do? Varying dimensions in electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021

Matthew A Reyna

Nadi Sadr

Erick A Perez Alday

Annie Gu

Amit J Shah

...

2021/9/13

Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearables

Physiological measurement

Qiao Li

Qichen Li

Ayse S Cakmak

Giulia Da Poian

Donald L Bliwise

...

2021/5/13

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 journal of biomedical and health informatics

Ayse S Cakmak

Erick A Perez Alday

Giulia Da Poian

Ali Bahrami Rad

Thomas J Metzler

...

2021/1/22

227: Altered Heart Rate Variability Predicts Mortality Early Among Critically Ill COVID-19 Patients

Critical Care Medicine

Rishikesan Kamaleswaran

Ofer Sadan

Prem Kandiah

Qiao Li

Tommy Thomas

...

2021/1/1

Altered Heart Rate Variability Early in ICU Admission Differentiates Critically Ill Coronavirus Disease 2019 and All-Cause Sepsis Patients

Critical Care Explorations

Rishikesan Kamaleswaran

Ofer Sadan

Prem Kandiah

Qiao Li

Craig M Coopersmith

...

2021/12/1

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

arXiv preprint arXiv:2011.07406

Ayse S Cakmak

Nina Thigpen

Garrett Honke

Erick Perez Alday

Ali Bahrami Rad

...

2020/11/14

Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020

Physiological Measurement

Erick A Perez Alday

Annie Gu

Amit J Shah

Chad Robichaux

An-Kwok Ian Wong

...

2020/11/11

Changes in non-linear and time-domain heart rate variability indices between critically ill COVID-19 and all-cause sepsis patients–a retrospective study

medRxiv

Rishikesan Kamaleswaran

Ofer Sadan

Prem Kandiah

Qiao Li

James M Blum

...

2020/6/7

See List of Professors in Qiao Li University(University of Oxford)