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World’s First Wearable Device Continuously Tracks Key Symptoms of COVID-19

By HospiMedica International staff writers
Posted on 07 May 2020
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Image: World’s first wearable device continuously tracks key symptoms of COVID-19 (Photo courtesy of Northwestern University)
Image: World’s first wearable device continuously tracks key symptoms of COVID-19 (Photo courtesy of Northwestern University)
Researchers have developed a novel wearable device and are creating a set of data algorithms specifically tailored to catch early signs and symptoms associated with COVID-19 and to monitor patients as the illness progresses.

The device has been developed using custom algorithms by researchers from the Northwestern University (Evanston, IL, USA) and the Shirley Ryan AbilityLab (Chicago, IL, USA). The new device builds on recent research focusing on monitoring swallowing and speech disorders in patients recovering from stroke. Capable of being worn 24/7, the device produces continuous streams of data and uses artificial intelligence to uncover subtle, but potentially life-saving, insights. Filling a vital data gap, it continuously measures and interprets coughing and respiratory activity in ways that are impossible with traditional monitoring systems.

About the size of a postage stamp, the soft, flexible, wireless, thin device sits just below the suprasternal notch — the visible dip at the base of the throat. From this location, the device monitors coughing intensity and patterns, chest wall movements (which indicate labored or irregular breathing), respiratory sounds, heart rate and body temperature, including fever. From there, it wirelessly transmits data to a HIPAA-protected cloud, where automated algorithms produce graphical summaries tailored to facilitate rapid, remote monitoring. The real-time data streaming from patients gives insights into their health and outcomes that is currently not being captured or analyzed by traditional monitoring systems. The device can monitor hospitalized patients and then be taken home to continue 24/7 supervision. The wearable device is currently unable to measure blood oxygenation levels, which is an important component of lung health, although the researchers plan to incorporate this capability in their next round of devices.

Not only can the device monitor the progress of COVID-19 patients, it could also provide early warning signals to the frontline workers who are most at risk for catching this remarkably infectious disease. The device offers the potential to identify symptoms and to pick up trends before the workers notice them, thereby providing an opportunity to engage in appropriate precautionary measures and to seek further testing as quickly as possible. In the future, this sensor package could help researchers and physicians quantify which therapeutics are working best.

The device is currently being used in a study by COVID-19 patients and the healthcare workers who treat them. About 25 affected individuals have begun using the device and are being monitored both in the clinic and at home, totaling more than 1,500 cumulative hours and generating more than one terabyte of data.

“Our device sits at the perfect location on the body — the suprasternal notch — to measure respiratory rate, sounds and activity because that’s where airflow occurs near the surface of the skin,” said Northwestern’s John A. Rogers, who led the technology development. “We developed customized devices, data algorithms, user interfaces and cloud-based data systems in direct response to specific needs brought to us by frontline healthcare workers. We’re fully engaged in contributing our expertise in bioelectronic engineering to help address the pandemic, using technologies that we are able to deploy now, for immediate use on actual patients and other affected individuals. The measurement capabilities are unique to this device platform — they cannot be accomplished using traditional watch or ring-style wearables that mount on the wrist or the finger.”

“We anticipate that the advanced algorithms we are developing will extract COVID-like signs and symptoms from the raw data insights and symptoms even before individuals may perceive them,” said Arun Jayaraman, a research scientist at Shirley Ryan AbilityLab, who is leading the algorithm development. “These sensors have the potential to unlock information that will protect frontline medical workers and patients alike — informing interventions in a timely manner to reduce the risk of transmission and increase the likelihood of better outcomes.”

Related Links:
Northwestern University
Shirley Ryan AbilityLab


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