Glucometers (which measure glucose levels in blood) are medical devices familiar to diabetics, and notorious for being proprietary. Gentoo Linux developer [Flameeyes] has some good news about his open source tool to read and export data from a growing variety of glucometers. For [Flameeyes], the process started four years ago when he needed to send his glucometer readings to his doctor and ended up writing his own tool. Previously it was for Linux only, but now has Windows support.
Glucometers use a variety of different data interfaces, and even similar glucometers from the same manufacturer can use different protocols. Getting the data is one thing, but more is needed. [Flameeyes] admits that the tool is still crude in many ways, lacking useful features such as HTML output. Visualization and analysis are missing as well. If you’re interested in seeing if you can help, head over to the GitHub repository for glucomerutils. Also needed are details on protocols used by different devices; [Flameeyes] has only been able to reverse-engineer the protocols of meters he owns.
Speaking of glucometers, there is a project for a Universal Glucometer which aims to be able to use test strips from any manufacturer without needing to purchase a different meter.
Thanks for the tip, [Stuart]!
Blood glucose monitors are pretty ubiquitous today. For most people with diabetes, these cheap and reliable sensors are their primary means of managing their blood sugar. But what is the enterprising diabetic hacker to do if he wakes up and realizes, with horror, that a primary aspect of his daily routine doesn’t involve an Arduino?
Rather than succumb to an Arduino-less reality, he can hopefully use the shield [M. Bindhammer] is working on to take his glucose measurement into his own hands.
[Bindhammer]’s initial work is based around the popular one-touch brand of strips. These are the cheapest, use very little blood, and the included needle is not as bad as it could be. His first challenge was just getting the connector for the strips. Naturally he could cannibalize a monitor from the pharmacy, but for someone making a shield that needs a supply line, this isn’t the best option. Surprisingly, the connectors used aren’t patented, so the companies are instead just more rigorous about who they sell them to. After a bit of work, he managed to find a source.
The next challenge is reverse engineering the actual algorithm used by the commercial sensor. It’s challenging. A simple mixture of water and glucose, for example, made the sensor throw an error. He’ll get it eventually, though, making this a great entry for the Hackaday Prize.
We’ve covered a number of diabetes-related hacks in the past, but this project sets its goals especially high. [Tim] has diabetes and needs to monitor his blood glucose levels and administer insulin accordingly. As a first step, he and a community of other diabetics have been working on Android apps to log the data when combined with a self-made Bluetooth re-transmitter.
But [Tim] is taking his project farther than previous projects we’ve seen and aiming at eventually driving an insulin pump directly from the app. (Although he’s not there yet, and user input is still required.) To that end, he’s looking into the protocols that control the dosage pumps.
We just read about [Tim] in this article in the Guardian which covers the diabetic-hacker movement from a medical perspective — the author currently runs a healthcare innovation institute and is a former British health minister, so he’s not a noob. One passage made us pause a little bit. [Tim] speaks the usual praises of tech democratization through open source and laments “If you try to commercialize [your products], you run up against all sorts of regulatory barriers.” To which the author responds, “This should ring alarm bells. Regulatory barriers are there for a reason.”
We love health hacking, and we’re sure that if we had a medical condition that could be helped by constant monitoring, that we’d absolutely want at least local smart-phone logging of the relevant data. But how far is too far? We just ran an article on the Therac-25 case study in which subtle software race conditions ended up directly killing people. We’d maybe hesitate a bit before we automated the insulin pump, but perhaps we’re just chicken.
The solution suggested by [Lord Ara Darzi] in the Guardian piece is to form collaborations between patients motivated by the DIY spirit, and the engineers (software and hardware) who would bring their expertise, and presumably a modicum of additional safety margin, to the table. We like that a lot. Why don’t we see more of that?
In March of 2014, I knew my eight year old daughter was sick. Once borderline overweight, she was now skeletally thin and fading away from us. A pre-dawn ambulance ride to the hospital gave us the devastating news – our daughter had Type 1 diabetes, and would be dependent on insulin injections for the rest of her life.
This news hit me particularly hard. I’ve always been a preparedness-minded kind of guy, and I’ve worked to free myself and my family from as many of the systems of support as possible. As I sat in the dark of the Pediatric ICU watching my daughter slowly come back to us, I contemplated how tied to the medical system I had just become. She was going to need a constant supply of expensive insulin, doled out by a medical insurance system that doesn’t understand that a 90-day supply of life-saving medicine is a joke to a guy who stocks a year supply of toilet paper. Plus I had recently read an apocalyptic novel where a father watches his 12-year old diabetic daughter slip into a coma as the last of her now-unobtainable insulin went bad in an off-grid world. I swore to myself that I’d never let this happen, and set about trying to find ways to make my own insulin, just in case.
Continue reading “The Biohacking Movement and Open Source Insulin”
Diabetes affects almost 400 million people worldwide, and complications due to diabetes – blindness, cardiovascular disease, and kidney problems – can be reduced by regular monitoring of blood glucose. The usual way of measuring blood glucose is with a pin prick of blood and a small test strip that costs about $0.30. That’s a lot of test strips and blood used by 400 million diabetics every day. Wouldn’t it be better if there was a less invasive way of measuring blood glucose?
[marcelclaro]’s project for The Hackaday Prize aims to do just that. Instead of measuring blood directly, his project will measure blood glucose by shining light through a finger or an earlobe. Using light to detect blood glucose is something that has been studied in the lab, but so far, there aren’t any products on the market that use this technique.
There are two major problems [marcel] needs to overcome to turn this project into reality. The first is simply raw data for calibration. For [marcel], this is easy; he has Type 1 diabetes, and takes four glucose measurements a day. Patient heal thyself, or something.
The second problem is getting a photosensor that’s sensitive enough. By using an InGaAs PIN diode, a current-controlled oscillator, and a digital counter, [marcel] should have a sensor that’s good enough, with electronics that are cheap enough, to create some tech that is truly game changing for a few hundred million people around the world.
A surprising amount of entries for The Hackaday Prize are medical devices, and the regulatory problems associated with that domain. [John Costik]’s Diabetes Data, Everywhere is one of the few projects that is perfect for a world where the words ‘hack’ and ‘FDA’ simply cannot be found in the same sentence.
[John]’s son was diagnosed with Type 1 diabetes at a very young age, and very early [John], his family, and the school nurse have had to deal with the nearly innumerable tasks that type 1 diabetes management entails. A Dexcom continuous glucose monitor is a big help, providing a wealth of glucose logging in a small, wearable device.
This monitor, however, is relatively locked down; the stock device is unable to push data to the Internet. [John] reverse engineered the protocol for this glucose monitor, enabling [John] to monitor his son’s blood glucose levels from anywhere on the planet.
There’s a huge community of people waiting for the technological advancements of the last thirty years, like the Internet and portable, networked devices, to make it into medical devices. [John]’s project has already gotten a bit of local news coverage, and is a perfect example of expanding the capabilities of existing devices to make his and his family’s life more convenient.
Continue reading “THP Hacker Bio: John Costik”
[John] is the parent of a diabetic child, and his efforts to expand the communication options for his son’s CGM (continuous glucose monitor) have grown into a larger movement: #wearenotwaiting.
After receiving a new monitor—a Dexcom G4—[John] set about decoding its communication protocols. The first steps were relatively simple, using a laptop to snag the data from the CGM and storing it on a Google doc which he could access as the day went along. The next step involved connecting the monitor and a cellphone for around-the-clock data gathering. [John] managed to develop an Android app to accomplish just that, and shortly after people began to take notice. Both [Howard Look], the CEO of Tidepool, and [Lane Desborough], engineer and father of a child with diabetes, have thrown in their support, leading to further developments such as Nightscout, an open source solution for storing CGM data in the cloud.
This project is a victory not only for those with diabetes, but also for the open source community. [John] admits his initial hesitation for developing for the medical device platform: litigation from a corporation could cause devastation for him and his family despite his intentions to merely improve his son’s and others’ quality of life. Those fears have mostly subsided, however, because the project now belongs to both no one and to everyone. It’s community-owned through an open source repository. Check out the overview of [John’s] work for more pictures and links to different parts of the #wearenotwaiting community.