Wan-Tai M. Au-Yeung

发表

Step Count Standardization: Validation of Step Counts from the Withings Activite using PiezoRxD and wGT3X-BT

Wan-Tai M. Au-Yeung, Jeffrey A. Kaye, Zachary Beattie, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community

Sarah Gothard, Sara Czaja, Hiroko H. Dodge, 2020, Digital Biomarkers.

State of the Art in Artificial Intelligence and Machine Learning Techniques for Improving Patient Outcomes Pertaining to the Cardiovascular and Respiratory Systems

Rahul K. Sevakula, Wan-Tai M. Au-Yeung, Antonis A. Armoundas, 2021, Cardiac Bioelectric Therapy.

State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System

Wan-Tai M. Au-Yeung, R. K. Sevakula, Jagmeet P. Singh, 2020, Journal of the American Heart Association.

Development and validation of warning system of ventricular tachyarrhythmia in patients with heart failure with heart rate variability data

Wan-Tai M. Au-Yeung, S. Brunton, P. Reinhall, 2018, PloS one.

Sensing a problem: Proof of concept for characterizing and predicting agitation

Wan-Tai M. Au-Yeung, J. Kaye, H. Dodge, 2020, Alzheimer's & dementia.

Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults

Wan-Tai M. Au-Yeung, Jonathan E. Elliott, Miranda M. Lim, 2022, Sensors.

SCD-HeFT: Use of R-R interval statistics for long-term risk stratification for arrhythmic sudden cardiac death.

Wan-Tai M. Au-Yeung, Per G Reinhall, Daniel B Mark, 2015, Heart rhythm.

Real‐Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks

Wan-Tai M. Au-Yeung, R. K. Sevakula, Sandeep Chandra Bollepalli, 2021, Journal of the American Heart Association.

Real-time machine learning-based intensive care unit alarm classification without prior knowledge of the underlying rhythm

Eric M Isselbacher, Antonis A Armoundas, Wan-Tai M. Au-Yeung, 2021, European heart journal. Digital health.

The Remote Assessment and Dynamic Response Program: Development of an In-Home Dementia-Related Care Needs Assessment to Improve Well-Being

Wan-Tai M. Au-Yeung, J. Kaye, Joel S. Steele, 2022, Innovation in aging.

Reduction of false alarms in the intensive care unit using an optimized machine learning based approach

Eric M Isselbacher, Antonis A Armoundas, Wan-Tai M. Au-Yeung, 2019, npj Digital Medicine.

Monitoring Behaviors of Patients With Late-Stage Dementia Using Passive Environmental Sensing Approaches: A Case Series.

Wan-Tai M. Au-Yeung, D. Katabi, J. Kaye, 2021, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.