Steve Steinhubl

Professor

Purdue University

United States

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Professor Steve Steinhubl is a faculty member at Purdue University West Lafayette in the United States. His research focuses on the utilization of wearable biosensor technology for health monitoring, including continuous vital sign monitoring in infectious diseases and cardiovascular conditions. Recent articles highlight the application of machine learning and digital biomarkers in predicting health outcomes, particularly in the context of vaccination and COVID-19 detection.

Articles (15)

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Moderna Therapeutics (United States)

UNITED STATES

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Steve Steinhubl

Research Interests

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Articles (15)

Continuous vital sign monitoring of acute Lassa fever using wearable biosensor devices in West Africa

Associations Between Online Search Trends and Outpatient Visits for Common Medical Symptoms in the U.S., 2004-2019: A Time Series Ecological Study (Preprint)

Development of a personalized digital biomarker of vaccine-associated reactogenicity using wearable sensors and digital twin technology

Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias

Cost-Effectiveness of AF Screening With 2-Week Patch Monitors: The mSToPS Study

Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands

RECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography

The digital phenotype of vaccination

Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms

Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients

Three year clinical outcomes in a nationwide, observational, siteless clinical trial of atrial fibrillation screening—mHealth Screening to Prevent Strokes (mSToPS)

A Comprehensive Explanation Framework for Biomedical Time Series Classification

Wearable sensor data and self-reported symptoms for COVID-19 detection

Present and Future of Digital Health in Diabetes and Metabolic Disease

Chronic kidney disease and undiagnosed atrial fibrillation in individuals with diabetes

Collaborators (5)

RuiJun Chen

Eric Topol

Kristian Andersen

Giorgio Quer

Jennifer Radin

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