A year ago we released QS Access, a simple app that allows you to see your healthkit data in a table. Our idea was to make it easier for people to explore their data using familiar tools, such as Numbers, Excel, or any spreadsheet program that can open a .csv file. We’ve really enjoyed hearing its been useful, and we’ve received lots of good feedback. This week we released a new version of the QS Access App that contains some commonly requested features. You can now:
- See raw data from individual elements, such as running.
- Store the query details, so you don’t start from scratch each time.
- Choose units for many quantities.
- Get a table of your sleep data.
We’re still listening, so if you are using QS Access and have feedback for us please let us know by emailing firstname.lastname@example.org.
Eleven days and counting!
On September 18th and 19th the Quantified Europe conference returns to the beautiful and affordable Casa 400 hotel in Amsterdam. If you’ve been before you know how special this conference is. The dozens of high-handled guest bikes waiting just outside the hotel door suggest it’s going to be hard to stay inside, but we have a lot of experience programming both “with” and “against” the lure of the city and we expect that nobody will be riding away until the last session ends. With over 70 different talks and sessions scheduled between social breaks with excellent food, our “carefully curated unconference” is the fruition of nearly a year’s work getting to know what’s going on the QS community. We’ve been deeply inspired by what you’re thinking about. It’s time for everybody to get in on what we’ve been learning.
Especially notable themes this year include novel ways of measuring sleep; widening interest in blood glucose sensors; popularization of genome and microbiome tests, and, as always, an amazing range of handcrafted and deeply personal tracking stories about health, sports, emotion, and more.
You can read a preliminary program here. [PDF]
As you’ll see, we’re opening the conference with 10 special “how to” sessions covering topics from heart rate variability to accelerated learning. Our goal with these sessions is to give everybody a chance to learn practical tips from experienced trackers. The heart of the program will be our Quantified Self Show&Tell talks, first person stories on topics like home EEG measurements to improve reading skill, self-collected data on distracted driving, and measuring the effect of music on concentration.
Lively informal breakouts will help set the agenda for the Quantified Self movement in the coming year, and we’ll be joined by dozens of Quantified Self toolmakers bringing their ideas and demos, with special thanks owed to the generous sponsors and Friends of QS who make this meeting possible, including Bayer, Abbott Labs, Intel, Scanadu, Oura, Emfit, and Beddit.
Tickets are almost sold out so register today.
In the nearly 10 years since direct-to-consumer genetic testing was pioneered by 23andme, regulators have grown more watchful over the claims companies can make about the benefits of knowing your genome. In response, direct-to-consumer testing companies have changed their game plan, emphasizing ancestry and fun facts over physiological insight. Meanwhile, at Quantified Self meetings and conferences, interest in using direct-to-consumer genetic data for health and fitness has never let up.
This year at the QS Europe, Ralph Pethica, whose PhD in genetics and obsession with sports performance in surfing and cycling lead him to use his own DNA results to optimize his training, will be contributing two sessions. He’s going to lead a 30 minute “how-to” session on making better use of our genomic data to optimise fitness training; and, he’s going to give a fascinating 5 minute ignite talk about the cycling accident that lead him to explore the relationship between genomics and recovery from injury. You’re invited to join the discussion!
We program our QS conferences to support the exchange of ideas, and we’re always inspired by what we learn. Next up: QS Europe, September 18th and 19th in Amsterdam.
I first got a look at the Oura ring at the Quantified Self Public Health Symposium last May. I was surprised that the Oura engineers had managed to get sleep and activity tracking into a bit of jewelry the size of a ring, and ever since I’ve been deeply curious to experiment for myself. Although a few samples showed up at QS15, there was nothing we can could take home with us. But the Oura ring campaign on Kickstarter launches today, with delivery estimated for November 2015. The company is a QS sponsor, and they’re offering readers here and our followers on Twitter a few hours head start on the campaign’s very limited number of $199 rings. (They have just 500 0f these, after which the minimum pledge to get a ring rises to $229).
The Oura ring has both optical sensors and an accelerometer, an increasingly common duo, used in the Apple watch and quite a few other devices. But I thought that the combination of sensors and battery demands would make a ring-size sleep and activity sensor challenging.
Of particular interest to me is the offer of “laboratory accurate” measurement of heart rate variability, or HRV, using the optical pulse sensor. Heart rate variability is the the variation in the time between heart rates, and it’s useful for Quantified Self experiments involving measurement of emotional arousal and stress. HRV is relatively easy to get, if you have an accurate heart rate monitor, but typically these have taken the form of elastic chest straps. Even Apple, with its relatively capacious watch, doesn’t yet promise accurate measurement of HRV. If the Oura ring ends up offering accurate HRV in a ring that is easy to keep on at all times, it will spark a lot of very interesting new projects.
Thank you to Petteri Lahtela and Hannu Kinnunen, the Oura founders, for giving us a few hours head start. We wish you good luck on your campaign!
For early access use this link: Quantified Self Access to Oura Kickstarter.
Note: both Petteri and Hannu will be at Quantified Self Europe conference in Amsterdam on September 18 & 19.
Two hundred sessions. Two thousand people. Thirty thousand square feet of exposition space on a San Francisco Pier. Did we really do that?
Over the next weeks we’ll be posting videos, photos, interviews and essays inspired by what happened last week at #QS15. But for the next day or two we’re just going to recover a bit, reflect on how things went, and enjoy the afterglow of spending 3 days with remarkable self-trackers, toolmakers, and scholars who share our interest in self-knowledge through numbers.
Our deepest thanks to to everybody who came to the event and to the hundreds of QS participants who worked with us for more than a year to create the program: to the speakers and session leaders who shared their self-tracking stories and ideas; to our courageous sponsors, whose support was indispensable; to the remarkable architects at The Living, who worked with us tirelessly to design an exposition space that supported conversation and discovery; and, to our friends at e2k events x entertainment, who managed the construction of the exposition from scratch.
We’re interested in the Apple Watch. So you might expect there to be a bunch of interesting self-tracking projects using the Apple Watch presented at QS15: The Quantified Self Global Conference and Exposition.
We expected that too. But, as you might have noticed, even devoted Apple fans are still (mostly) waiting for their watches to arrive. There hasn’t been enough time to learn very much.
So, to prime the pump, we got our hands on a new Apple Watch, and we’re going to give it away to somebody who has an idea for a QS project to try. The model is exactly as shown above: 42mm Space Grey Aluminum Case with Black Sport Band.
Here’s a picture of the actual watch, still in the brown delivery box.
Here’s a picture of the brown boxed, opened up.
And that’s where we’re stopping. The person who wins the watch should get to open it, right?
Let us know if you have a project to propose using our very short application form. We don’t expect there to be more than a few dozen entries, so your odds of winning are quite high compared to most promotions. But you do have to be at the conference on June 18 and 19, 2015, to receive the watch.
(You can register here: http://qs15.quantifiedself.com/register/)
How to Enter
Use this form to tell us what you want to learn about yourself and how an Apple Watch can help you make these discoveries. We will select an idea that we think will be especially meaningful for everybody to learn from, and we’ll hand over the watch to you on June 18. The conference starts in a couple of weeks, so please act fast!
You can share your ideas with us and the Quantified Self community on Twitter using #QSAppleWatch. We’d love to see what you want to learn!
Mark Wilson will be presenting his project at the QS15 Conference and Exposition. I wonder if we could get Tehching Hsei to present his?
On Wednesday this week we learned that the QS Access app we submitted to the Apple store was approved. This means you can download the QS Access app on iTunes. We hope you’ll find it useful. Our app is a very simple tool for accessing HealthKit data in a table so that you can explore it using Numbers, Excel, R, or any other CSV compatible tool.
It is still early days for HealthKit, but my conversations with toolmakers at Quantified Self events convinces me that there will be many device and software makers that integrate with Apple’s platform for collecting and analyzing personal data. I hope this will allow more people to learn from their own data by reflecting on changes over time and by combining multiple data streams – such as activity, sleep, and nutrition – into a single visualization for comparison.
To give you your HealthKit data in tabular format, we’ve had to simplify it. QS Access shows your data in either “hourly” or “daily” chunks. These won’t be appropriate for all uses, but many interesting questions can be asked of data that is presented as a time series using hourly and daily values. This is just a starting point, and we’re looking forward to making it do more based on your feedback.
We very much hope that if you learn something from your data using QS Access, you’ll share your project by participating in a Quantified Self Show&Tell meetup and by joining us at QS15 Conference and Exposition next year in San Francisco. Suggestions about the app itself and interesting examples of usage can be shared with us directly by emailing us: email@example.com,
The QS Access App was authored by our long time QS Labs friend and collaborator Robin Barooah.
We recently released our QS Access app, which allows you to see HealthKit data in tabular format. Not very many tools feed data into HealthKit yet, but Apple’s platform does pick up step data gathered by the iPhone itself. I have step data on HealthKit going back about two weeks. When Ernesto Ramirez and I were playing around with QS Access, loading the data into Excel and looking at some simple charts, I learned something: Even when I’m active, I’m sedentary.
My daily step totals ranged from a depressing 3334 steps on Thursday, September 18 to an inspiring 21,634 steps on Friday, September 25, but – as these charts clearly show – even on the extreme days my activity was concentrated into relatively short periods when I got up from my desk and went out to do something. Most hours, every day, were spent with hardly any movement at all. I’m sitting at my desk, and sitting at my desk some more, and sitting at my desk still more. That’s probably not good. No, not good at all.
Pulling my data out of HealthKit and seeing a few simple charts gave me a bit of insight that I hope will lead to a change in how much I sit. It was a great to be able to easily make some simple analysis of my data. I hope you’ll find QS Access useful also (you can learn more about it here). Please share what you learn in the QS Access thread in the QS Forum or by emailing us about your projects: firstname.lastname@example.org.
Someday, you will have a question about yourself that impels you to take a look at some of your own data. It may be data about your activity, your spending at the grocery store, what medicines you’ve taken, where you’ve driven your car. And when you go to access your data, to analyze it or share it with somebody who can help you think about it, you’ll discover…
Now is the time to work hard to insure that the data we collect about ourselves using any kind of commercial, noncommercial, medical, or social service ought to be accessible to ourselves, as well as to our families, caregivers, and collaborators, in common formats using convenient protocols. In service to this aim, we’ve decided to work on a campaign for access, dedicated to helping people who are seeking access to their data by telling their stories and organizing in their support. Although QS Labs is a very small organization, we hope that our contribution, combined with the work of many others, will eventually make data access an acknowledged right.
The inspiration for this work comes from the pioneering self-trackers and access advocates who joined us last April in San Diego for a “QS Public Health Symposium.” Thanks to funding support from the Robert Wood Johnson Foundation, and program support from the US Department of Health And Human Services, Office of the CTO, and The Qualcomm Institute at Calit2, we convened 100 researchers, QS toolmakers, policy makers, and science leaders to discuss how to improve access to self-collected data for personal and public benefit. During our year-long investigation leading up to the meeting, we learned to see the connection between data access and public health research in a new light.
If yesterday’s research subjects were production factors in a scientist’s workshop; and if today’s participants are – ideally – fully informed volunteers with interests worthy of protection; then, the spread of self-tracking tools and practices opens the possibility of a new type of relationship in which research participants contribute valuable craft knowledge, vital personal questions, and intellectual leadership along with their data.
We have shared our lessons from this symposium in a full, in-depth report from the symposium, including links to videos of all the talks, and a list of attendees. We hope you find it useful. In particular, we hope you will share your own access story. Have you tried to use your personal data for personal reasons and faced access barriers? We want to hear about it.
You can tweet using the hashtag #qsaccess, send an email to email@example.com, or post to your own blog and send us a link. We want to hear from you.
The key finding in our report is that the solution to access to self-collected data for personal and public benefit hinges on individual access to our own data. The ability to download, copy, transfer, and store our own data allows us to initiate collaboration with peers, caregivers, and researchers on a voluntary and equitable basis. We recognize that access means more than merely “having a copy” of our data. Skills, resources, and access to knowledge are also important. But without individual access, we can’t even begin. Let’s get started now.
An extract from the QSPH symposium report:
[A]ccess means more than simply being able to acquire a copy of relevant data sets. The purpose of access to data is to learn. When researchers and self-trackers think about self-collected data, they interpret access to mean “Can the data be used in my own context?” Self-collected data will change public health research because it ties science to the personal context in which the data originates. Public health research will change self-tracking practices by connecting personal questions to civic concerns and by offering novel techniques of analysis and understanding. Researchers using self-collected data, and self-trackers collaborating with researchers, are engaged in a new kind of skillful practice that blurs the line between scientists and participants… and improving access to self-collected data for personal and public benefit means broadly advancing this practice.