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Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and P...

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and P...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d7e0647c8f7b41488bc32f8da0f9db33

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

About this item

Full title

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

Journal title

Journal of medical Internet research, 2021-02, Vol.23 (2), p.e26107

Language

English

Formats

Publication information

Publisher

Canada: Gunther Eysenbach MD MPH, Associate Professor

More information

Scope and Contents

Contents

Changes in autonomic nervous system function, characterized by heart rate variability (HRV), have been associated with infection and observed prior to its clinical identification.
We performed an evaluation of HRV collected by a wearable device to identify and predict COVID-19 and its related symptoms.
Health care workers in the Mount Sinai H...

Alternative Titles

Full title

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d7e0647c8f7b41488bc32f8da0f9db33

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d7e0647c8f7b41488bc32f8da0f9db33

Other Identifiers

ISSN

1438-8871,1439-4456

E-ISSN

1438-8871

DOI

10.2196/26107

How to access this item