Quan Ding

Insights into the Problem of Alarm Fatigue with Physiologic Monitor Devices: A Comprehensive Observational Study of Consecutive Intensive Care Unit Patients

B. Drew, P. Harris, Jessica K. Zegre‐Hemsey, 2014, PloS one.

Temporal phenome analysis of a large electronic health record cohort enables identification of hospital-acquired complications.

Quan Ding, J. Warner, A. Zollanvari, 2013, Journal of the American Medical Informatics Association : JAMIA.

Analysis of Normal High-Frequency Intracranial Pressure Values and Treatment Threshold in Neurocritical Care Patients: Insights into Normal Values and a Potential Treatment Threshold.

Adam R Ferguson, R. Saigal, Quan Ding, 2020, JAMA neurology.

Analysis of high-frequency PbtO2 measures in traumatic brain injury: insights into the treatment threshold.

Adam R Ferguson, R. Saigal, Quan Ding, 2019, Journal of neurosurgery.

Is the Sequence of SuperAlarm Triggers More Predictive Than Sequence of the Currently Utilized Patient Monitor Alarms?

Xiao Hu, Quan Ding, Yong Bai, 2017, IEEE Transactions on Biomedical Engineering.

Developing new predictive alarms based on ECG metrics for bradyasystolic cardiac arrest

Michele M Pelter, Noel G Boyle, Duc Do, 2015, Physiological measurement.

On the Design and Implementation of a Highly Accurate Pulse Predictor for Exercise Equipment

Steven Kay, Dongyang Li, Quan Ding, 2015, IEEE Transactions on Biomedical Engineering.

Multimodal information fusion for robust heart beat detection

Yong Bai, Xiao Hu, Yusuf Erol, 2014, Computing in Cardiology 2014.

Is the Sequence of SuperAlarm Triggers More Predictive Than Sequence of the Currently Utilized Patient Monitor Alarms?

Jorge Arroyo Palacios, Yong Bai, Quan Ding, 2017, IEEE Transactions on Biomedical Engineering.