Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial.
Journal:
BMJ open
PMID:
32699167
Abstract
INTRODUCTION: There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccine yet, rigorous implementation of traditional public health measures such as isolation and quarantine remains the most effective tool to control the outbreak. When an asymptomatic individual with COVID-19 exposure is being quarantined, it is necessary to perform temperature and symptom surveillance. As such surveillance is intermittent in nature and highly dependent on self-discipline, it has limited effectiveness. Advances in biosensor technologies made it possible to continuously monitor physiological parameters using wearable biosensors with a variety of form factors.
Authors
Keywords
Artificial Intelligence
Betacoronavirus
Blood Gas Monitoring, Transcutaneous
Clinical Laboratory Techniques
Cloud Computing
Coronavirus Infections
COVID-19
COVID-19 Testing
Early Diagnosis
Heart Rate
Hong Kong
Humans
Mobile Applications
Pandemics
Pneumonia, Viral
Quarantine
Randomized Controlled Trials as Topic
Respiratory Rate
SARS-CoV-2
Skin Temperature
Smartphone
Telemedicine
Wearable Electronic Devices