We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App





Wearable System Detects COVID-19 Before Symptoms Appear

By HospiMedica International staff writers
Posted on 22 Jun 2020
Print article
Image: Wearable System Detects COVID-19 Before Symptoms Appear (Photo courtesy of Empatica Inc.)
Image: Wearable System Detects COVID-19 Before Symptoms Appear (Photo courtesy of Empatica Inc.)
Scientists are developing a wearable system that will alert individuals when it detects a likely COVID-19 infection, enabling them to self-isolate and seek early treatment.

Empatica Inc. (Boston, MA, USA), an MIT spinoff, will validate the early warning system for COVID-19 and other respiratory infections using its wearable sensors and proprietary algorithm. The system, named Aura, is completely non-invasive, utilizing Empatica's medical smartwatches, software, and artificial intelligence capabilities. Aura will enable continuous and real-time insight into the likelihood of SARS-CoV-2 infection before symptoms present, and send a warning to the user and their healthcare provider.

Empatica will validate the system in partnership with the Biomedical Advanced Research and Development Authority (BARDA), part of the Office of the Assistant Secretary for Preparedness and Response at the US Department of Health and Human Services (HHS). In February 2019, Empatica and BARDA's Division of Research, Innovation and Ventures (DRIVe) began to develop a digital biomarker that predicts respiratory infections. Preliminary findings have been promising, showing a strong correlation between viral shedding and changes in a person's physiology. Empatica will now be sponsored to run a validation trial specific to early detection of COVID-19. The aim is to validate Empatica's algorithm in real-life settings, with the participation of healthcare workers who are exposed to a high viral load while treating hospitalized COVID-19 patients. They will wear the E4, Empatica's medical-grade research wearable wristband, for 30 days, and their physiological data will be reviewed against daily nasopharyngeal (NP) samples and a daily qRT-PCR swab, ensuring the highest ground truth.

“We are very proud to join forces with BARDA to help improve the health and safety of millions of Americans going back to work,” said Empatica CEO Matteo Lai. “This product introduces a new paradigm: empowering individuals and institutions with smart health monitoring, so that they will know early when they need to self-isolate and take care of themselves. Without BARDA's leadership and foresight over the past year, our early detection algorithm would not have reached this pivotal stage of clinical validation, which will accelerate our request for FDA's approval of Aura as a medical product for use by people at risk of contracting COVID-19.”

“We anticipate that access to real-time and actionable health information will empower people to seek medical advice and care sooner, or to adopt behavioral changes such as temporary self-isolation that can help reduce the spread of COVID-19 and similar infections,” said BARDA Acting Director, Gary Disbrow, Ph.D.

Related Links:
Empatica Inc.

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Enterprise Imaging & Reporting Solution
Syngo Carbon

Print article

Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.