Wearable Sensor-Based Detection of Influenza in Presymptomatic and Asymptomatic Individuals.

ABSTRACT:

Background

The COVID-19 pandemic highlighted the need for early detection of viral infections in symptomatic and asymptomatic individuals to allow for timely clinical management and public health interventions.

Methods

Twenty healthy adults were challenged with an influenza A (H3N2) virus and prospectively monitored from 7 days before through 10 days after inoculation, using wearable electrocardiogram and physical activity sensors. This framework allowed for responses to be accurately referenced to the infection event. For each participant, we trained a semisupervised multivariable anomaly detection model on data acquired before inoculation and used it to classify the postinoculation dataset.

Results

Inoculation with this challenge virus was well-tolerated with an inf

SUBMITTER: Temple DS 

PROVIDER: S-EPMC9384446 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature