Detect COVID-19 Symptoms Using Wearable Device And AI

July 11, 2020 by Orlando Hoilett 9 Comments

A new study from West Virginia University (WVU) Rockefeller Neuroscience Institute (RNI) uses a wearable device and artificial intelligence (AI) to predict COVID-19 up to 3 days before symptoms occur. The study has been an impressive undertaking involving over 1000 health care workers and frontline workers in hospitals across New York, Philadelphia, Nashville, and other critical COVID-19 hotspots.

The implementation of the digital health platform uses a custom smartphone application coupled with an Ōura smart ring to monitor biometric signals such as respiration and temperature. The platform also assesses psychological, cognitive, and behavioral data through surveys administered through a smartphone application.

We know that wearables tend to suffer from a lack of accuracy, particularly during activity. However, the Ōura ring appears to take measurements while the user is very still, especially during sleep. This presents an advantage as the accuracy of wearable devices greatly improves when the user isn’t moving. RNI noted that the Ōura ring has been the most accurate device they have tested.

Given some of the early warning signals for COVID-19 are fever and respiratory distress, it would make sense that a device able to measure respiration and temperature could be used as an early detector of COVID-19. In fact, we’ve seen a few wearable device companies attempt much of what RNI is doing as well as a few DIY attempts. RNI’s study has probably been the most thorough work released so far, but we’re sure that many more are upcoming.

The initial phase of the study was deployed among healthcare and frontline workers but is now open to the general public. Meanwhile the National Basketball Association (NBA) is coordinating its re-opening efforts using Ōura’s technology.

We hope to see more results emerge from RNI’s very important work. Until then, stay safe Hackaday.

Digi-Key Hacks UV Into Conveyor Line To Protect Warehouse Staff

July 4, 2020 by Orlando Hoilett 21 Comments

No doubt that every hacker has already heard of Digi-Key, the electronic component distributor that makes it just as possible to order one of something as it is to order a thousand of it. As an essential business, Digi-Key has been open during the duration of the lockdown since they support critical manufacturing services for virtually every industry on the planet including the medical industry.

Ensuring their workforce stays healthy is key to remaining open and as part of their efforts they hacked together a nice addition to their sanitation regime. They use around 8,000 plastic totes to transport components around the distribution center and devised a way to sanitize tote coming in from the receiving area using a UV light tunnel. From their sanitation plan we can see this is in addition to the fogging system (likely a vaporized hydrogen peroxide system) used to regularly sanitize the totes passing throughout the warehouse.

They developed a UV light tunnel that wraps around the conveyor rollers. The design includes a sensor and a timer to control when and how long the UV lights are on. The totes are a frequent touch point for employees, and running incoming shipments through the UV light tunnel helps decrease the chance of exposure.

Thinking of using UV as a sanitation tool? Make sure you do your research on the wavelengths you need and vet the source of critical components. [Voja] ran into UV lamps that were anything but germicidal.