Article

Real-time Alerting System for COVID-19 Using Wearable Data

2021-06-21

Abstract excerpt

Early detection of infectious disease is crucial for reducing transmission and facilitating early intervention. We built a real-time smartwatch-based alerting system for the detection of aberrant physiological and activity signals (e.g. resting heart rate, steps) associated with early infection onset at the individual level. Upon applying this system to a cohort of 3,246 participants, we found that alerts were gen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3c200800-3d2e-53e9-9b0e-82fff9da4648
DOI: 10.1101/2021.06.13.21258795

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Real-time Alerting System for COVID-19 Using Wearable DataDOI 10.1101/2021.06.13.21258795Read

Passive Monitoring of Physiological Data and Self-reported Symptoms to Detect Clusters of People with COVID-19Semantic proximity Read

Measuring COVID-19 and Influenza in the Real World via Person-Generated Health DataSemantic proximity Read

A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19Semantic proximity Read

Deep learning-based detection of COVID-19 using wearables dataSemantic proximity Read

Prediction of deterioration from COVID-19 in patients in skilled nursing facilities using wearable and contact-free devices: a feasibility studySemantic proximity Read

Investigation of the Use of a Sensor Bracelet for the Pre-Symptomatic Detection of COVID-19: A National Cohort Study (COVI-Gapp)Semantic proximity Read

11 million days of longitudinal wearable data reveal novel future health insightsSemantic proximity Read

Machine Learning-Based Optimization of Pre-Symptomatic COVID-19 Detection Through SmartwatchSemantic proximity Read

Smartphone-based monitoring of heart rate variability and resting heart rate predicts variability in symptom exacerbations in people with complex chronic illnessSemantic proximity Read

Wearable Technology in the Management of Complex Chronic Illness: Preliminary Survey Results on Self-Reported OutcomesSemantic proximity Read

Consistent Comparison of Symptom-based Methods for COVID-19 Infection DetectionSemantic proximity Read

Remote monitoring of cancer patients with suspected Covid-19 using wearable sensors and regular mobile data networks; results of the RECAP feasibility study (NCT04397705)Semantic proximity Read