Tag Archives: visualizations

What We Are Reading

Enjoy this week’s list!

Articles
When ‘Special Measures’ Become Ordinary by David Beer. What does it mean to have measurement, personal and institutional, as part of our everyday experience? A nice article that begins to expose what it means to operate in this new world.

Building smarter wearables for healthcare, Part 1: Examining how healthcare can benefit from wearables and cognitive computing by Robi Sen. In this article, Robi Sen describes what IBM sees as the “analytics gap” in current wearable technology. Specifically, that devices and the data they present don’t fully understand and utilize contextual information, and therefore are not providing meaningful information. What’s the answer? IBM’s Watson, of course.

Doping scandals, open data, and the emergence of the quantified athlete by Glyn Moody. A short and interesting piece that wonders if opening up athlete performance data might be a useful part of combating doping and illegal performance enhancement in professional athletics.

N of 1 Trials and Personal Health Data with Dr. Nicholas Schork. The Health Data Exploration Network hosted their inaugural webinar this past Friday. The focus was on N of 1 trials: why they’re important, how to conduct them, and the role of Quantified Self and self-tracking data.

Lifelog: Pilot Tasks of NTCIR–12. Our good friend and lifelogging researcher, Cathal Gurrin, is spearheading an innovative project to improve search and information access to lifelogging and self-tracking data. If you’re a researcher or information systems specialist you may want to take a look at data and see if you can help push the field forward!

Show&Tell
sleepwalking_beddit Sleepwalking. Rather than point to one post over another we’re going to highlight this entire blog by one anonymous scientist who’s exploring his sleepwalking. The whole blog is chock full of insights into measurements, devices, and experiments to see what may or may not affect their sleepwalking. Start here to get a good overview.

How I Hacked Amazon’s $5 WiFi Button to track Baby Data by Ted Benson. Have $5 to spend on an Amazon Dash button? With a little bit of programming you can turn it into your own DIY internet-connected tracker!

FullSizeRender-1 10,000 Steps at a Music Festival by Tim Hanrahan. A fun post about tracking physical activity at the Lollapalooza festival.

Visualizations

vjo_2015-Aug-13 Basis Data Analysis by Victor Jolissaint. I saw this Victor tweet this visualization and was immediately drawn in. Turns out he’s been exploring ways to analyze and understand his Basis watch data using R. Check out the link for his code and take a crack at analyzing your own data!

My-Steps_thumb Tableau: Helping Me See and Understand Myselfb y Craig Bloodworth. Craig pulled all his self-tracking data into Tableau and designed his own personal dashboard to better understand what was going on with his activity, personal finances, and other lifestyle information.

From the Forum
How to acquire info about sent e-mails using gmail?
How to quantify myself
We want to track you!

 

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What We Are Reading

We’re back again with another round of What We’re Reading. Before diving into the great articles and links below why not take some time to subscribe to our QS Radio podcast! We just released our fourth episode and would love to know what you think!

Want to tell us in person? Why not join us for our fourth QS Europe Conference this September in Amsterdam! Register now to take advantage of our early bird pricing.

Articles
Got Sleep Problems? Try Tracking Your Rest with Radar. by Rachel Metz. Researchers at Cornell University, the University of Washington and Michigan state are conducting research using off the shelf components to see if non-contact sleep tracking is possible. Turns out it is!

Apple’s Fitness Guru Opens Up About the Watch by Scott Rosenfield. A nice interview with Jay Blahnik here, where he speaks to Apple’s focus on self-tracking and fitness with the Apple Watch.

To share is human by Laura DeFrancesco. In this great news feature, Laura DeFrancesco exposes some of the issues with sharing personal data, as well as the initiatives hoping to break through those issues to help bring more data into the public sphere.

Using Twitter data to study the world’s health by Elaine Reddy. A great post here profiling John Brownstein and his work in Computational Epidemiology, specifically how he and his research team use public data sources like Twitter to tease out signals for health research.

Show&Tell

Charts.001 Comparing Step Counts: Apple Watch, Fitbit Charge HR, And IOS Withings App by Victor Lee. An awesome and in-depth post comparing almost two months of steps counts from three different tracking methods by our friend Victor Lee. Glad to see he put our QS Access app to good use!

Follow-up to how I lost over 40 pounds using HealthKit and Apple Watch by Jim Dalrymple. Jim tells his story of how using a variety of apps and tools, all linked to his Apple Healthkit app, helped him learn about himself and eventually put him on the path to sustained weight loss.

Tracking Confidence by Buster Benson. Buster always has something interesting to say about self-tracking. This time is no different. Here he briefly talks about asking himself, “how confident do I feel right now?”

Visualizations


The Heart Chamber Orchestra.

The Heart Chamber Orchestra – HCO – is an audiovisual performance. The orchestra consists of 12 classical musicians and the artist duo TERMINALBEACH. Using their heartbeats, the musicians control a computer composition and visualization environment. The musical score is generated in real time by the heartbeats of the musicians. They read and play this score from a computer screen placed in front of them.

From the Forum
How to acquire info about sent e-mails using gmail?
Looking for Android exercise tracking app
Resting Heart Rate tracking

This Week on QuantifiedSelf.com
QS Radio: Episode #4

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What We Are Reading

A long list for this week’s What We’re Reading. I actually had to stop myself from adding in even more visualizations and show&tell examples! We’re always on the lookout for more though, so make sure tweet us your favorite links!

Articles
Fitted by Moira Weigel. A very thoughtful essay on gender, identity, and confession – all while using the Fitbit as the narrative backdrop.

What kind of love does the FitBit prepare us to feel? Is it self-love? Or is even the self of the exorexic a kind of body armor?

How to Build a Smart Home Sensor by Dave Prochnow. If you have 2 hours, $95, and know how to solder, then you too can build this DIY sensor to measure the temperature, humidity, light, and noise for any room in your home. If someone builds and tests this please let me know (Would love to see air quality sensors included too!)

It’s Hard to Count Calories, Even for Researchers by Margot Sanger-Katz. New research shows Americans are eating less, but can we really trust the data? Margot does an excellent job here of rounding up the various ways we measure food consumption in the United States while coming to a commonly heard conclusion – food tracking is just plain hard.

Hadley Wickham, the Man Who Revolutionized R by Dan Kopf. If you’re knee deep in data analysis, or just like poking around in stats software, you’ve probably heard of and used R. And if you’ve used R, then there is a good chance you’ve used many of the packages written by Hadley Wickham. Great read, if for nothing else you learn what the “gg” in ggplot2 stands for.

Heart patient: Apple Watch got me in and out of hospital fast by Neil Versel. When Ken Robson wasn’t feeling well he turned to his Apple Watch. After noticing lower than normal heart rate readings his checked himself into the emergency room and soon found out his hunch was right, he had sick sinus syndrome.

New Australian experiment rewards joggers with 3D printed chocolate treats based on exercise data by Simon Cosimo. Sign me up!

Show&Tell

Screen_Shot_2015-07-24_at_11.41.15_AMHow Does Giving Blood Affect Your Iron Levels? by Ryan W. Cohen. Simple and to the point blog post by Ryan explaining how he discovered elevated iron levels in his blood, and the simple test he tried to find out why.

The Quantified Athlete by Matt Paré. Matt is a minor league catcher in the San Francisco Giants organization. In this post, the second in a series (read Part 1 here), Matt discusses how he became interested in tracking his biomarkers, and what he’s experimenting with.

What I Learned When I Stopped Wearing a Fitbit After Seven Years by Michael Wood. Michael writes up a brief post on how he felt when he was separated from his Fitbit activity tracker.

1*n0JEGs6Mzgiri0kAUYPDkgHow I tracked my house movements using iBeacons by Joe Johnston. Joe uses a few iBeacons to find out where he spend time in his house. Fascinating idea, makes me want to play with this technology as well!

Visualizations

Screen Shot 2015-06-30 at 8.55.26 amVisualizing a Simpler RunKeeper Training Plan by Andy Kriebel. Andy presented his running data, and how he uses a few tools to keep track and visualize his data as he trains for a marathon. Follow the link and you can see his Tableu workbook, which includes a screencast of his presentation, and links to his workflow.

gIV8BlGI decided to take a peek at my Netflix viewing data by Reddit user AmericanPicker69. This enterprising individual decided to take a peak into his user account to understand his Netflix viewing habits. Turns our a simple copy/past is all you need to do to get the raw data. Who knew?!

eUKFHBOMy weight loss journey by Reddit user IMovedYourCheese. Loved this graph and the implementation of BMI categories, a moving average, and lower/upper bounds for weight loss. He even provided the excel template if you’d like to use it with your own weight tracking.

From the Forum
Teach Arduino from Beginner to Making a Quantified Monitor
Google Fit

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What We Are Reading

Enjoy this week’s list!

Articles

Big Data for the Spirit by Casey N. Cep. Interesting piece here on SoulPulse, a study using text messages to examine spirituality. Can faith be measured and quantified? These researchers are trying to find out.

Big Data Not Doping: How The U.S. Olympic Women’s Cycling Team Competes On Analytics by Bernard Marr. Nice short article on Sky Christopherson and the personal data-driven training program that resulted in a silver medal at the 2012 Olympics for the Women’s track cycling team.

The Quantified Cow: Wearables Will Monitor Animals As Closely As Humans by Ben Schiller. First we put sensors on ourselves. Then we started putting them on our pets. Now, we’re working on putting them on our cattle. What’s next?

Show&Tell

stepCountingQuantified Self: Step Counting by Chad Lagore. Chad wrote up a great analysis of what he learned from analyzing step data natively tracked through his iPhone. Of course, special kudos to him for using our QS Access app to download his data.

Visualizations

JobsVisualizationWhere Are the Jobs? by Robert Manduca. Robert took data from the Census Bureau’s Longitudinal Employer-Household Dynamics dataset and visualized each job as a dot on the map. Fascinating to see where different industries cluster around the United States.

OkavengoHRHippoHippo Attack! by Jer Thorp. Ever wonder what happens when you’re attacked by a hippopotamus? Above is the plot of Dr. Steve Boyes’ heart rate during the attack. Make sure to click through for an amazing account of the event.

From the Forum

Resting Heart Rate Tracking
REMzen Sleep Tracking
Basis Peak

This Week on QuantifiedSelf.com

Mark Moschel: Parasites and Gut Repair
Steven Zhang: Concussions, Headaches and the Whole30 Elimination Diet
2014 QS Visualization Gallery: Part 2
QS Radio: Episode #3

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What We Are Reading

Hello again! Here we are with another list of articles, links, and visualizations for you. Enjoy!

QS15 Reactions
We’ve started to see a few great blog posts and articles describing the experience of attending the QS15 Conference and Expo. For the next few weeks we’ll be highlight a few here.

My Data, Your Data, Our Data by Murray Grigo-McMahon
Notes from the 2015 Quantified Self Conference by Arpit Mathur
Quantified Self 2015 by Phoebe V. Moore
QS15: Measurement with Meaning by Ben Bending

Articles

The Future of Food Data: Toward Transparency, Personalized Design, & Re-Thinking the Concept of a ‘Food Label’ by Sam Slover. We highlighted Sam’s work on visualizing his food last year and it nice to see that work is continuing. I’m interested to see where this goes.

An Evening with the Consciousness Hackers by Nellie Bowles. Brain tracking and augmentation is definitely on the rise. Great to see the Consciousness Hacking group get some attention. (We were honored to have Mikey Siegel and Ariel Garten participate at the QS15 Conference and Expo. Look for their talk soon!)

Make people the controllers of their data to help the NHS go digital by Andrew Chitty.

There’s a solution to this too. Make it the default assumption that the patient is the owner or controller of all data relating to them. They can then share this data with whichever parts of the health service they wish.

This might sound slightly outlandish but think about it: we’re increasingly going to see digitized records become the norm, with many of them self-generated by citizens as part of their self-care – which we want to encourage, not only because it engages people with their own care but because it short circuits the technical barriers around information sharing.

What if We Really Set Data Free by Elizabeth Nelson. I had the pleasure of speaking at length with Elizabeth about Quantified Self, data, and data access. Make sure to also check out this great interview with Josh Berson.

The Crying Baby and the Sympathetic Fitbit by Jocelyn Wiener. A great article by a mother with a new baby who learned how sleep tracking can be useful.

My sleep didn’t get any better just because Fitbit started quantifying how crappy it was. But I felt validated, if only by someone with a rechargeable battery for a heart. While I received plenty of clucking sympathy from family and friends, my new device gave me something arguably better: evidence.

Show&Tell
Basis_Sleep Is drunk sleep less restful than sober sleep? How much so? Why or why not? by Justin Lawler. Not sure where I saw this, probably in the #quantifiedself stream on Twitter, but this Quora answer is pretty fantastic. Justin takes the time to explain what he found when he ran a test on how alcohol affected his sleep using his Basis watch.

Quantified home birth by Morris Villarroel. A beautiful post by our friend Morris, who describes his tracking experience during the day his son was born.

Visualizations

New-image-web-FCP Food Chain Project by Itamar Gilboa.

The Israeli-Dutch artist kept a diary of everything he ate and drank for the duration of a year. He meticulously kept track of his daily consumption. Some three years later, the results can be seen in a sculpture installation, the Food Chain Project. His installation, a traveling pop-up supermarket consisting of more than 8,000 white plaster sculptural groceries, physically represents Gilboa’s yearly consumption.

 

2014_running From a Net to a Harpoon: 2014 Annual Review by Michael Anthony. I cannot stress how beautiful this annual review is. Maybe it’s the focus on running that gets to me, but the whole this is worth looking through. You can even go back in time and view Michael’s reports from 20112012, and 2013.

From the Forum
Quantifying Caloric Intake
How to Quantify Myself

This week on QuantifiedSelf.com
2015 QS Visualization Gallery: Part 1
2015 QS Europe Conference: Scholarship Application Now Open

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2015 QS Visualization Gallery: Part 1

In 2013, just prior to our our Quantified Self Global Conference, we asked conference attendees to send us examples of their own personal data visualizations that they found especially meaningful. We were blown away by what everyone shared with us. From visualizations of blood glucose readings to GPS traces and plots of time tracking and productivity, the range of visualizations was astounding (you can view some of those visualization by searching the blog for the QS Gallery tag).

This year, we sent out the request once again to attendees of our QS15 Conference and Expo. Once again, our inbox immediately started to fill up with images, graphs, and visualizations describing the tracking experiences of our amazing community. Today, we’re excited to start sharing those visualizations with you here.

Beau Name: Beau Gunderson
Description: A homemade polysomnogram with a Zephyr Bioharness as the only data
source.
Tools: IPython, matplotlib, pandas, seaborn, numpy.

 

Seasonal compliance Name: Shannon Conners
Description: This graph shows what initially looks like an interesting trend in my activity data. I seem to be less active during the summer months, but when I pair my activity and wear time for the BodyMedia FIT armband I used to generate the data, the real reason for the drop becomes clear. I’m wearing the armband less in the summer months to avoid upper arm strap tan! I know my own device usage patterns, so when I graphed the two measures together, it was immediately clear to me what was going on. To me, this is a simple example that illustrates one of the big challenges of looking at activity monitor data in the absence of data about device usage. Usage patterns can and do change over time and the reasons for these changes may not be as obvious as the change of the seasons. For example, something as simple as breaking the clip-on case you use to carry the phone that counts your steps could greatly impact how often you carry it, and therefore the quality of the data you collect. Some monitors don’t even record a usage metric with which to compare activity data. I like this graph as a reminder that interesting patterns may in fact be data collection or data quality issues in disguise.
Tools: BodyMedia FIT Core BW, JMP

 

HeadsUp Name:: David Korsunsky
Description: Mashing data from my favorite wearables, my medical records as well as data I track manually into a custom dashboard.
Tools: Heads Up Health is software that can enable anyone to create their own custom configurations.

 

4fcfb36b86f2241013000002_graph Name:: Daniel Reeves
Description: Number of (read) messages in my inbox over time.
Tools: Beeminder’s GmailZero.com

 

QSHRVSeasonalTrend Name:: Jo Beth Dow
Description: Trend analysis of my HRV over a 2.5 year period. Displays a stunning seasonal trend.
Tools: iPhone running SweetBeatLife app to measure clinical grade HRV on a daily basis.

Stay tuned here for more QS Gallery visualizations in the coming weeks. If you’ve learned something that you are willing to share from seeing your own data in a chart or a graph, please send it along. We’d love to see more!

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What We Are Reading

After a few weeks of we’re back for another round of What We’re Reading. As you may know, we just wrapped on amazing three day conference and expo in San Francisco. Thank you to all that came, participated, and helped make QS15 such a wonderful experience!

Couldn’t make it to QS15? You’re in luck! We just announced our fourth Quantified Self Europe Conference. Join us in Amsterdam for an intimate and engaging event. You don’t want to miss it! Early bird tickets are on sale now.

Now, on with the show!

QS15 Reactions

We’ve started to see a few great blog posts and articles describing the experience of attending the QS15 Conference and Expo. For the next few weeks we’ll be highlight a few here.

Quantified Self ’15 Day 1 Recap by Tim Hanrahan
Quantified Self Expo, Part 1 by Karl Etzel.
What you can learn from the 2015 Quantified-Self Conference by Guillaume Tourneur
What I learned at Quantified Self 2015 by Richard Sprague

Articles

Is Direct Access to Lab Results Helpful or Harmful? by Patricia Salber. Patricia updates a post, first written in 2011, about the pros and cons associated with having direct access to medical testing and lab results.

Jaguar wants to monitor its drivers’ brainwaves, heart rate, and breathing by Jacob Kastrenakes. Sounds a bit far-fetched, and we may never see this research project in our cars, but I was intrigued by this:

But Jaguar says that it should be able to monitor for brainwaves through sensors embedded in the steering wheel. It’s apparently looking into adapting tech that’s already used by NASA to monitor pilots’ concentration.

Sounds interesting, but I’m also left I’m also left wondering if it will be worth measuring my concentration when the cars of the future will be driving themselves!

Google Reveals Health-Tracking Wristband by Caroline Chen and Brian Womack. Interesting to see that Google X is getting into the wearables game. Anyone know the difference between this device and other similar tools like Basis?

Biggest winner of the Finals? Rest! by Tom Haberstroh. What helped the Golden State Warriors have one of the best seasons in NBA history and capture the championship? Quantified Self of course!

They Warriors are as nerdy as it gets. As clients of wearable technology provider Catapult Sports, they monitor their players’ workloads in practice with GPS monitors and analyze the data with acute attention to maximizing performance while minimizing injury risk.

Show&Tell
Sorry_RobinW
Sorry by Robin Weis. A fascinating and beautifully articulated exploration into apologies between Robin and her parter. (Note: This was first posted by Robin on our Quantified Self Facebook Group. Join us forfor some great conversation!)

TimeTracking_MelanieP
How Tracking What I Do Every Day Helped Me Find Better Work-Life Balance by Melanie Pinola.

Most importantly, time tracking has helped me think more clearly about how I spend my time. I can see at a glance where I’m spending too much time in one area and not enough in others and also find patterns in my behavior.

Visualizations

TimeSleep
Find Out How Much Less Sleep You’re Getting Than Everyone Else by Dave Johnson and Alexander Ho. Time and Withings paired up to create some great interactive visualizations on sleep.

RyanB_appswitch
Visualizing “Productivity” with Elasticsearch, Logstash and D3 by Ryan Brink. Ryan wanted to get “look into my life at the keyboard” so he decided to gather some data and use D3 to visualize it. Click for the graphs, stay for the in-depth how-to explanation.

JawboneMood
What Makes People Happy? We Have the Data. by Sukrit Mohan. Jawbone takes a peak into their data to see what impacts mood. Above we see “a clear relationship between steps on the previous day and the mood of the user in the morning: better moods correlate with more steps.”

From the Forum

Food choice motivation experiment – Looking for a few people
Recommendation for Unique HR Monitoring Situation
Looking for the Zeo app for iPhone

QuantifiedSelf.com

QS15: What Happened?
Comparing Apple Watch and Fitbit One for Step Tracking
Announcing the 2015 Quantified Self Europe Conference
Anand Sharma: Aprilzero, Gyroscope, and Me

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What We Are Reading

Enjoy this week’s list!

News

You’re invited to join us on June 20th for an amazing day of demos, talks, and sessions highlighting the very best of the Quantified Self at our QS15 Expo. Readers of What We’re Reading get a special discount. Just click here to get $10 off your ticket price.

We’ve received some amazing entries in our Future Normal QS15 Challenge, so amazing that we’ve extended the challenge a few days. If you’re reading this before Monday, June 1st make sure to enter nowfor your chance to win two free Ultimate Panels!

Articles

I’m the New CTO of HHS by Susannah Fox. So great to see this announcement. All of us at QS Labs have the utmost respect and admiration for Susannah and her dedication to positively impacting human health. Additional posts and articles about Susannah’s appointment can be found here and here.

As technology savvy as Susannah is, it is her capacity to hold a huge vision, and keeping patients at the center of that vision, that make her so deeply qualified for this job. No body asked me who the next CTO of the government was going to be, and frankly I was a little worried about who would be next. Bryan Sivak and Todd Park (her predecessors in this role) leave pretty damn big shoes to fill. Someone in the Whitehouse/HHS is casting a net wide enough to know who the really transformational thinkers in our industry are. – Fred Trotter

Special Report: Hacking the Human OS by IEEE Spectrum. A fantastic three-part report here by folks over at IEEE. This collection of articles, infographics, and op-eds is a must read.

Public Health and Tech: Long Lost Lovers? by Vanessa Mason. A short but nice article outlining how technology may interface with Public Health practices and program implementation. Great to see a mention our RWFJ supported Quantified Self Public Health Symposium.

The quantified self in a complex system: A systems perspective on mental workload by Steven Shorrock. A great post here by Steven concerning the role of quantitative information in dynamic and often complex human systems (like your workplace).

For these reasons, most numerical measures concerning human experience and system parameters should be treated as social objects. Any data on mental workload, sector capacity values, traffic numbers, or whatever, are a reason for a conversation, the start of a conversation – not an end point.

Show&Tell
milesCompBar
Apple Health App and My Quantified Self by Nadine Fischoff. One day Nadine realized her iPhone was keep track of her daily activity (steps and distance walked) so she decided to dive into the data to see what she could learn. With the help out our QS Access app (download it today – it’s free!) she was able to access, download, and analyze her data. What did she learn? Moving to New York City from Mountain View increased her daily walking 48%!

2014 Writing Progress by Ben Wilson. A great post here by Ben describing his writing progress over 2014. Ben tracked his goal of writing two novels in 2014, and ended up tracking over 90,000 words written.(Found via the always excellent Exist.io Blog.)

Visualizations
Screen Shot 2015-05-30 at 11.43.17 AM
Withings Health Observatory: Blood Pressure by Withings. Great to see Withings has added blood pressure to their real-time data dashboards.

Visualizing the Quantified Self: Giving Form to Lifelogging by Fil Greenwich. A nice overview post of different data visualizations.

From the Forum

GPX Import to Google Fit
Measuring Anxiety Using Smartphone Sensors
Is there a smartwatch app akin to Reporter or KeepTrack?

This Week on QuantifiedSelf.com

Welcome to Our QS15 Friends of QS

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What We Are Reading

WWAR_Header

One quick note today before we dive into this week’s set of articles and ideas: Did you know we started a podcast? Check out our first episode here and subscribe on iTunes!

Articles

Who Owns Medical Records: 50 State Comparison by George Washington University’s Hirsh Health Law and Policy Program. You’ll never guess how many states have laws that give patients ownership rights for their medical records. Spoiler: ONE.

Want to Improve Health? Help People Use and Share Their Data by Risa Lavizzo-Mourey. Dr. Lavizzo-Mourey, president and CEO of the Robert Wood Johnson Foundation, shares her thoughts about how access to and sharing data can bring about a Culture of Health:

I believe that, fundamentally, data is all about helping people find new opportunities to pursue optimal health and participate in their own care. That means promoting ways to get, use, and share information about themselves easily and securely.

Technology That Prods You to Take Action, Not Just Collect Data by Natasha Singer. A nice article here that includes some great insights from our friend and community contributor, Natasha Dow Schüll. Are devices being “dumbed down” or are we when we “cede [our] free will to machine algorithms”? Only time will tell.

Can healthy people benefit from health apps? by Iltifat Husain & Des Spence. In this debate, Iltifat Husain and Des Spence discuss different types of health tools, applications, and devices being used by healthy individuals. Do they impact our health for the better? These two physicians duke it out through spoken and written word.

Excavating Old-School Self-Tracking Tools by Jamie Todd Rubin. A short but interesting thought experiment here by Jamie. What would happen if we analyzed the vast troves of “soft” data found in the diaries and journals? What could we find out about our past, our history?

Show&Tell
How We Are Measuring Happiness at Whitesmith by Daniel F. Lopes. Another interesting example of using the workplace team communication tool, Slack, to gauge and collect information about the emotional wellbeing of employees.

MK_musicListening
Impact of music streaming on my listening habits by Maciej Konieczny. Maciej switched to streaming music in 2013, and it completely changed how he experienced music. In this great post Maciej he describes how exploring his music listening data (from Last.fm, of course), he was able to see just how his listening habits were impacted.

Visualizations

QuantifyingAboutTown Quantified Self About Town by Changyeon Lee. This visualization is part of a project by Changyeon to map artificial light in New York City. Above you see a data visualization of artificial light data around the NYU Tisch Building

 

WeightDiet My year in calories/weight.Data exported from MyFitnesspal by reddit user qwerty2020.

Access Links

In world of health data, enemies may become friends
Why should patients have the right to a copy of their imaging data?
WHO: Share Trial Data
California Launches Initiative to Advance Precision Medicine

From the Forum

Body Analyzing Scales – the maths?
Sleep Apnea Treatments
Central repository for QS dataComparing Steps with BodyMedia FIT and Fitbit Charge HR
How to calculate the impact of activities on pain levels

 

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What We Are Reading

WWAR_Header
Enjoy this week’s list!

Articles
Antebellum Data Journalism: Or, How Big Data Busted Abe Lincoln by Scott Klein. A fascinating look back at the history of using data in periodicals. Particular emphasis is give to the story of how Horace Greely, a newspaper editor and congressman, used data journalism techniques commonly employed today to expose issues with congressman travel reimbursement policy in 1848.

Imagining the Future of Health Data by Susannah Fox. Having followed, and participated in, the Data4Health events, all of us here at QS Labs are excited for the release of the full report next week. We’ll also be watching the live webcast. Join us!

2014 Motor Trend’s Best Driver’s Car: How We Test by Kim Reynold. I know what you’re thinking, “What is a car review article doing on this list?” Well, it turns out that Motor Trend not only tracked the vehicles in this year’s testing, but also the drivers. This short article described they methods they used to track the biological signals and facial characteristics of their test drivers to derive emotion, focus, and other data.

Why you patient partners on your research team by Holly Witteman. A brilliant essay on the experiences of a researcher, who also lives with a chronic disease, regarding including patients as part of the research design process.

“[…] these people have saved our research projects countless trips down wrong paths.”

Are We at a Tipping Point for Open Data? by Phill Jones. A fascinating post with a rich amount of information and background on where the research community is in regards to data sharing and data access, and considerations for continuing to move forward.

By The Numbers by Abby Norman. Haunting and special. A must read.

Show&Tell
Narrative Clock By Morris Villarroel. Morris is a great member of our community and the organizer of the Mardid QS Meetup group. In this post he looks back on his nearly 400,000 Narrative Clip photos and breaks down what you can learn from just looking at slices of time across many days.

Quantified Myself – The Beginning By Norbert Berencsy. Norbert takes the reader on a journey of testing and experimenting with different sleep apps. I can’t wait for more posts!

Sweet Dreams are Made of These: Wearable Tech and Extra ZZZ… by Dave Champman. Dave is using an UP24 to track his activity and now this sleep. In this short post, he explains his own sleep tracking and the benefit he gets out of seeing his friend’s an colleague’s data.

Comparing my Fitbit One and iPhone 6 by Eddie Smith. A brilliant and thorough dive into the actual differences in step counts and floor estimation from two devices over daily living and a few specific experiments. My favorite part:

”Rather than get hung up on data accuracy, I think it makes sense to focus on the main goal: move more. I’m absolutely fascinated with the fact that small computers can constantly measure my motion and give me incentive to move more by constantly informing me about my movement patterns.”

Visualizations

GordonBleu_Moves
A Year at Work. Gordon Mei visualizes his time spent at work during 2014 using the Moves app. Makes sure to click through for the full visualization.

purchase_history
Four Years of Purchases by Matt Yancey. Matt was curious how his purchasing habits changed as he moved around, from the suburbs into cities. Fascinating and easy to understand visualization.

FitbitWeather
Weathering the Winter by Fitbit. An interesting visualization of the differences within and across states for physical activity during winter months vs summer months.

Access Links
Astronaut twins study raises questions about genetic privacy
Our Data, Our Health
Study Shows People Act To Protect Privacy When Told How Often Phone Apps Share Personal Information
Data accessibility is key to a successful activity tracking system
The Heart of the Matter: I can’t access the data generated by my implanted defibrillator. That’s absurd.

From the Forum
Heart Rate Monitor for Cardiac Patient
Food allergy/intolerance tests
Want an app or device to track my hormones (esp. estrogen and progesterone)
HRV Expert by Cardiomood data export from phone to excel or some other place

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