Detection of COVID-19 from smartwatch data

Analysis of physiological and activity data from consumer smartwatches enables real-time detection, often before symptom onset, of COVID-19, as well as other respiratory illnesses and stress inducers.
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Go to the profile of Pep Pàmies
over 5 years ago

The cover illustrates that physiological and activity data from consumer smartwatches can be used for the real-time detection of COVID-19, often before symptom onset.

See Mishra et al.

Image: Ella Maru studio. Cover design: Alex Wing.

Follow the Topic

Biotechnology
Life Sciences > Biological Sciences > Biotechnology

Related Collections

With Collections, you can get published faster and increase your visibility.

Implantable wireless communication technologies

This collection brings together research that addresses critical engineering challenges in implantable wireless communications. It demonstrates how electromagnetic, optical, acoustic, or hybrid methods can be engineered to achieve reliable wireless communications and power delivery through biological tissues.

Publishing Model: Hybrid

Deadline: Nov 28, 2026

Microphysiological systems for advanced modeling, high-throughput evaluation, and clinical translation

This cross-journal Collection highlights engineering advances, promote high-throughput evaluation for translational applications, or enhance biological and clinical relevance of next-generation Microphysiological Systems, such as 3D culture systems, organs-on-chips, and microfluidic platforms.

Publishing Model: Hybrid

Deadline: Dec 30, 2026