What Does A Dependable Open Source Ventilator Look Like?

Ventilators are key in the treating the most dire cases of coronavirus. The exponential growth of infections, and the number of patients in respiratory distress, has outpaced the number of available ventilators. In times of crisis, everyone looks for ways they can help, and one of the ways the hardware community has responded is in work toward a ventilator design that can be rapidly manufactured to meet the need.

The difficult truth is that the complexity of ventilator features needed to treat the sickest patients makes a bootstrapped design incredibly difficult, and I believe impossible to achieve in quantity on this timeline. Still, a well-engineered and clinically approved open source ventilator might deliver many benefits beyond the current crisis. Let’s take a look at some of the efforts we’ve been seeing recently and what it would take to pull together a complete design.

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Real Engineering Behind Ventilators

Experts on cognition tell us that most people think they know more than they really do. One particular indicator for that is if someone is an expert in one field and they feel like all other fields relate to theirs (everything boils down to math or chemistry or physics, for example). This causes them to be overconfident on things they don’t actually know about. When it became clear that the current virus crisis might lead to a shortage of ventilators, many electronic experts set about to design low-cost easy to replicate ventilators. How hard is it, after all, to squeeze a bag once every few seconds? But it turns out, there are a lot of details you need to know to do it right. [Real Engineering] and [Real Science] joined to create an excellent video that covers a lot of what you need to know. You can see the video below. The video shows a few designs that — while motivated by altruism — would probably do more harm than good if used on real patients.

The video’s creator is a biomedical engineer who worked in the past for Medtronic — a maker of ventilators who, by the way, recently open-sourced one of their designs. They also had [Dr. Rohin Francis], who has a medical YouTube channel, fact check the video. and provide some on-screen background We learned a few new medical terms and found that a high-end ventilator made in one factory gets built at about 225 per week. They think they can increase to 500.

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Reliability Check: Consumer And Research-Grade Wrist-Worn Heart Rate Monitors

Wearables are ubiquitous in today’s society. Such devices have evolved in their capabilities from step counters to devices that measure calories burnt, sleep, and heart rate. It’s pretty common to meet people using a wearable or two to track their fitness goals. However, a big question remains unanswered. How accurate are these wearable devices? Researchers from the Big Ideas Lab evaluated a group of wearables to assess their accuracy in measuring heart rate.

Unlike other studies with similar intentions, the Big Ideas Lab specifically wanted to address whether skin color had an effect on the accuracy of the heart rate measurements, and an FDA-cleared Bittium Faros 180 electrocardiogram was used as the benchmark. Overall, the researchers found that there was no difference in accuracy across skin tones, meaning that the same wearable will measure heart rate on a darker skin-toned individual the same as it would on a lighter skin-toned. Phew!

However, that may be the only good news for those wanting to use their wearable to accurately monitor their heart rate. The researchers found the overall accuracy of the devices relative to ECG was a bit variable with average errors of 7.2 beats per minute (BPM) in the consumer-grade wearables and 13.9 BPM in the research-grade wearables at rest. During activity, errors in the consumer-grade wearables climbed to an average of 10.2 BPM and 15.9 in the research-grade wearables. It’s interesting to see that the research-grade devices actually performed worse than the consumer devices.

And there’s a silver lining if you’re an Apple user. The Apple Watch performed consistently better than all other devices with mean errors between 4-5 BPM during rest and during activity, unless you’re breathing deeply, which threw the Apple for a loop.

So, it seems as if wrist-worn heart rate monitors still have some work to do where accuracy is concerned. Although skin tone isn’t a worry, they all become less accurate when the subject is moving around.

If you’d like to try your own hand with fitness trackers, have a look at this completely open project, or go for the gold standard with a wearable DIY ECG.

A Touchless Handwashing Timer Comes In Handy

In 2020, it’s no longer enough to simply wash your hands. You’ve got to do it right. Proper process involves rubbing soap and water over every surface of your hands, and taking a full 20 seconds to do the job. While many recommend singing various popular songs to keep time, that can be more than a little embarassing in shared spaces. [Alex Glow] instead created this simple timer to help out.

The timer is built on the Adafruit Circuit Playground Express, a devboard that features 10 RGB LEDs already onboard, making the project a cinch. It also comes with a MEMS microphone and a light sensor all ready to go. Thus, with a bit of code, [Alex] was able to create a timer activated by a loud noise, such as clapping. Once detected, the timer starts, flashing its LEDs to indicate time remaining. There’s also a nightlight feature, which activates when light levels decrease, making it easier to navigate the bathroom in the dark.

It’s a useful little project for these troubled times, and one that makes great use of everything onboard the Circuit Playground Express. Having everything included certainly does make projects come together quickly. You can even program it from your phone! Video after the break.

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Cellular Tracking Used During COVID-19 Pandemic

As most in the technology community know, nation states have a suite of powerful tools that can be used to trace and monitor mobile phones. By and large, this comes up in discussions of privacy and legislation now and then, before fading out of the public eye once more. In the face of a global pandemic, however, governments are now using these tools in the way many have long feared – for social control. Here’s what’s happening on the ground.

The Current Situation

With COVID-19 sweeping the globe, its high level of contagiousness and rate of hospitalizations has left authorities scrambling to contain the spread. Unprecedented lockdowns have been put in place in an attempt to flatten the curve of new cases to give medical systems the capacity to respond. A key part of this effort is making sure that confirmed cases respect quarantine rules, and isolate themselves to avoid spreading the disease. Rules have also been put in place in several countries where all overseas arrivals must quarantine, regardless of symptoms or status. Continue reading “Cellular Tracking Used During COVID-19 Pandemic”

FDA Says PPE Can Be Reused After Trip Through Shipping Container Decontamination System

We are hearing so much in the news about shortages of personal protective equipment, or PPE, for healthcare workers. Factories are being asked to perform the impossible when it comes to production be the need is so real, so immediate, and so widespread.

The problem with rapid consumption of PPE is that once it has been exposed to infection, it’s contaminated and can’t be used again. Physically it may be fine, but it retains the capability to infect other people. If there were some way it could be effectively cleaned and decontaminated for re-use, it would reduce the strain on the supply chain and result in a greater availability of PPE for all those who require it.

This is the promise of Battelle’s Critical Care Decontamination System, a shipping-container-sized unit which has received approval from the FDA at break-neck speed.

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Behind The Scenes Of Folding@Home: How Do You Fight A Virus With Distributed Computing?

A great big Thank You to everyone who answered the call to participate in Folding@Home, helping to understand proteins interactions of SARS-CoV-2 virus that causes COVID-19. Some members of the FAH research team hosted an AMA (Ask Me Anything) session on Reddit to provide us with behind-the-scenes details. Unsurprisingly, the top two topics are “Why isn’t my computer doing anything?” and “What does this actually accomplish?”

The first is easier to answer. Thanks to people spreading the word — like the amazing growth of Team Hackaday — there has been a huge infusion of new participants. We could see this happening on the leader boards, but in this AMA we have numbers direct from the source. Before this month there were roughly thirty thousand regular contributors. Since then, several hundred thousands more started pitching in. This has overwhelmed their server infrastructure and resulted in what’s been termed a friendly-fire DDoS attack.

The most succinct information was posted by a folding support forum moderator.

Here’s a summary of current Folding@Home situation :
* We know about the work unit shortage
* It’s happening because of an approximately 20x increase in demand
* We are working on it and hope to have a solution very soon.
* Keep your machines running, they will eventually fold on their own.
* Every time we double our server resources, the number of Donors trying to help goes up by a factor of 4, outstripping whatever we do.

Why don’t they just buy more servers?

The answer can be found on Folding@Home donation FAQ. Most of their research grants have restrictions on how that funding is spent. These restrictions typically exclude capital equipment and infrastructure spending, meaning researchers can’t “just” buy more servers. Fortunately they are optimistic this recent fame has also attracted attention from enough donors with the right resources to help. As of this writing, their backend infrastructure has grown though not yet caught up to the flood. They’re still working on it, hang tight!

Computing hardware aside, there are human limitations on both input and output sides of this distributed supercomputer. Folding@Home need field experts to put together work units to be sent out to our computers, and such expertise is also required to review and interpret our submitted results. The good news is that our contribution has sped up their iteration cycle tremendously. Results that used to take weeks or months now return in days, informing where the next set of work units should investigate.

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