Search Results for: weight
“The heartbeat is a treasure chest of information…”
Mark Leavitt has a unique perspective in that he is both an engineer and a physician. In his retirement, he is applying his wealth of knowledge to keeping himself healthy.
In this talk, Mark looks at how heart rate variability relates to his willpower. Does he lift more weight when his HRV is high? What happens to his eating habits when his HRV is low? And if the term “heart rate variability” is new to you, Mark gives a lucid explanation.
Also, you will get a glimpse of his amazing customized workstation with pedals to keep him active, a split keyboard on the armrests to keep his knees free and built-in copper strips for measuring HRV. Cue envy.
Historically, the most prevalent self-tracking tool in the home was the scale and the relationship between people and weight is complicated. Akhsar found healthy weight loss to be an emotionally difficult process. His breakthrough came with the Withings smart scale with which he lost 65 pounds in the first year and has kept it off for the last three. In this talk he discusses how the data helped him gain the self control to overcome temptations.
Weight has been a popular topic for Show&Tell talks:
Julie Price on the effect of running and family events.
Nan Shellabarger on seeing her life story in 26 years of weight data.
Kouris Kalligas on the relationship between his weight and sleep.
Jan Szelagiewicz on being motivated by family history.
Lisa Betts-LaCroix on using spreadsheets, forms and wireless scales changes the tracking experience.
Rob Portil on how he and his partner experience weight tracking differently.
Amelia Greenhall on using a 10-day moving average.
The Beacon Experiments: Low-Energy Bluetooth Devices in Action by Chaise Hocking. There is a lot of interest in using micro-location to support QS projects, with much excitement focused on Bluetooth beacons as a possible solution. If you’ve been curious about how well the fairly well known Estimote and Kontakt beacons work for estimating proximity, this post is for you. ‑Gary
Do-It-Yourself Medical Devices — Technology and Empowerment in American Health Care by Jeremy A. Greene. DIY healthcare technology has existed a lot longer than the devices designed to pair with your smartphone, but the “it” in DIY, as well as whom “yourself” is directed towards, has changed significantly over time. ‑Steven
Boundary Negotiating Artifacts in Personal Informatics: Patient-Provider Collaboration with Patient-Generated Data by Chia-Fang Chung et al. This sensitive research paper explores how self-collected data can be used to support collaboration between people seeking health care and their care providers. Based on surveys and interviews, Chung and her co-authors offer a detailed analytical framework for understanding common tensions and misunderstandings, and give extremely thoughtful suggestions for designers. ‑Gary
‘Superman Memory Crystal’ Could Store Data for 13.8 Billion Years by Stephanie Pappas. It’s probably foolish to get excited by a technology that may never escape the research facility, but I’m excited by the idea anyhow. The challenge of keeping data from degrading is a big one. Libraries burn down. Magnetic tapes disintegrate. Hard drives die suddenly. The idea of storing your data on a glass disc is poetically appealing, but I am surprised to learn of it’s practicality in terms of stability and capacity.‑Steven
The Most Famous Mice in the World Right Now by Steve Hamley. I’ve been following the slow transformation of nutritional science from anti-fat to anti-carb since reading Gary Taubes cover story for the New York Times: “What If It’s All Been A Big Fat Lie?” This week there was a minor chapter in which many media reports used some work by a New Zealand scientist purporting to show that high fat, low carb diets could be bad for your glycemic control after all. The above story by Steve Hamley is the best debunking. ‑Gary
Ann Douglas Details Her Hi-tech Weight Loss Journey by Lauren Pelley. Ann Douglas, an author of books on parenting and pregnancy, lost 135 pounds over two years. She didn’t have one killer device or app, but used a suite of tools that contributed in one way or another. “I had given up all hope of ever losing all this weight,” she says. “If you’re sitting there despairing, wondering how you’re ever going to do anything about your weight problem — I was there too.” ‑Steven
Using Heart Rate Variability to Analyze Stress in Conversation by Paul LaFontaine. “Vapor lock” is Paul’s term for that feeling when you are trying to retrieve something from memory in conversation, but because of the stress of the situation (especially if it is with a boss), you lock up and your recall fails. To better understand this phenomenon and learn how to prevent it, Paul measured his heart rate variability during 154 conversations with bosses and co-workers and discovered that the biggest cause of his “vapor lock” was not what he expected at all. ‑Steven
17 Years of Location Tracking by Stephen Cartwright. Steven has been tracking his latitude, longitude and elevation every hour since 1999. In this talk, Stephen shows how seventeen years of location tracking has given him a wealth of data to explore in the form of three-dimensional data visualization sculptures. He has even brought some of these to QS conferences. They are amazing to behold in person. ‑Steven
Marrying Age: This is when Americans get married by Nathan Yau. This interactive visualization looks at the average marrying age for different demographics. You can’t see the trends over time, but it is interesting, though not wholly surprising, to see smoother distributions for demographics that tend to have more stabile economic situations, like college graduates. (Though I’m not sure if that has more to do with the relative number of people in each group.) ‑Steven
Forget me nots by Lam Thuy Vo. This explores the relationship between a woman and her archive of email exchanges with exes. This visualization above is fairly standard, but the others in the piece are more like tone poems. Appropriate, considering that dives into your archive can leave you swirling in unleashed emotion (Speaking from personal experience here. You would be surprised by how much you can relive your life by looking at old bank statements). ‑Steven
Danielle by Anthony Cerniello. This is a video of a computer generated face that ages over the course of four minutes. The length is interesting in that you can tell that change is occurring, yet it is happening slow enough that it’s hard to see exactly what is changing moment to moment. ‑Steven
Thanks to Ernesto for sending a link our way. If you find an interesting article you’d like to recommend, email firstname.lastname@example.org. If you want to get these automatically in your inbox, you can subscribe here.
The DIY Scientist, the Olympian, and the Mutated Gene by David Epstein. There are several surprising twists in this story of a non-professional scientist named Jill Viles, who made an important discovery about her own rare genetic disorder. What inspired me mostwas Viles’ tenacious reliance on her own capacity to reason, even in the face of skepticism from professionals who had less knowledge (though more confidence) than she did. Eventually, she connects with highly technical scientists whose research direction she influences with her ideas. Epstein got a fantasic quote from one of them when he asked the scientist if this has ever happened before. “In my life, no,” he says. “People from outside coming and giving me hope? New ideas? I have no other example of this kind of thing. You know, maybe it happens once in a scientific life.” I found myself wondering if this kind of thing will be less rare in the future. -Gary
A Drug to Cure Fear by Richard A. Friedman. This article intersects two of my interests that stem from my own self-experimentation. From my stress tracking I realized that many of my reactions in my day-to-day life are influenced by traumatic memories. From my spaced repetition practice I learned how memories can change over time through retrieval and consolidation. A study done in the Netherlands suggests that a memory can be decoupled from an associated fear response by using propranolol which blocks the effects of norepinephrine, a chemical that strengthens connections in the brain. The study has yet to be replicated, but hopefully it will increase our understanding of trauma. -Steven
Internet of Things security is so bad, there’s a search engine for sleeping kids by J.M. Porup. Ever since doing a research project on data flows for our first Quantified Self symposium we’ve had what you might describe as a below average level of confidence in the security and reliability of information traveling outside the immediate context of its collection, now that APIs connect to APIs connecting to yet other APIs. Still, even I was surprised by the recklessness and potential harm described in J.M. Porup’s brief account of a search engine that displays random pictures from internet connected consumer cameras around the world. -Gary
Algae bloom toxin linked to Alzheimer’s, other diseases by Amy Kraft. One consequence of the climate change and the depletion of fish stocks in ocean’s is the increase occurrence of algae blooms. Ethnobotanists found a correlation between algal blooms and neurodegenerative diseases among remote populations in the Pacific. New research suggests that cyanobacteria, the microorganism in these blooms, has a neurotoxin that can cause neurodegenerative precursors that develop. This neurotoxin enters the human food chain as it bioaccumulates in fish and shellfish. -Steven
Glass Half Full Succeeds in Unwinding Upsets by Paul LaFontaine. Most people have moments of irritation or worry throughout the day. Paul wanted to find out what worked better as a response to these moments. Option A was to step back and observe his emotions in a manner similar to that taught by some schools of meditation. Option B was to figure out the source of irritation or concern and think of a positive angle to the situation. What is great about this post is the very simple but illuminating experiment that he devised to explore this question. -Steven
Finding My Optimum Reading Speed by Kyrill Potapov
As an English teacher Kyrill Potapov spends a lot of time working with 12 year old kids who are trying to improve their reading, writing, comprehension, and analytical skills. In this talk, he explores a remarkable method of speed reading, called Spritz, that promises to let you “read Harry Potter in three hours” with full understanding and recall. Could such a promise possibly be true? -Gary
Heart Rate Variability, Body Metrics, and Cognitive Function by Justin Lawler. This is a great examination of how Justin’s HRV measurements correlate to all other personal data he has collected. -Steven
Using Spectrograms to Visualize Heart Rate Variability by Randy Sargent
Randy’s idea about using spectrograms, normally used for audio signals, to create a portrait of your own time series data, is completely novel as far as I know. -Gary
Spurious Correlations by Tyler Vigen. An entertaining collection of unrelated facts that can be correlated with a high degree of confidence. -Steven
Hackers Diet, FIRECalc and weight loss by u/Thebut_. This chart is a mess, but the idea behind it is fascinating. This reddit user was inspired by FIRECalc, a financial tool that “projects your future assets based on historical market data” and tried to apply it to his weight data. Instead of giving a single projection, the tool shows a range of possibilities. This is similar to how Baseball Prospectus’s PECOTA system uses a weighted range of possibilities (probability distribution) rather than a single guess (point estimate) for forecasting a prospect’s future performance. I would like to see more of this kind of thinking applied to personal data. -Steven
Darwin Tunes by Bob MacCallum, Armand Leroi, Matthias Mauch, Steve Welburn, and Carl Bussey. A fascinating project that treats pieces of music like organisms that can mate and reproduce based on listeners’ votes. These audio loops started off as random noise, but as the generations moved into the thousands, the presence of chords and higher order melodies emerged. At this point, there have been over 8700 generations. You can take part yourself! -Steven
Kouris Kalligas, a long time participant and contributor at Quantified Self meetings, is the creator of the very easy to use data aggregation service AddApp. AddApp is an iPhone app that makes it simple to gain insights from data gathered on dozens of different devices. While running his startup, Kouris has also been doing ongoing self-tracking experiments. At QS Europe 2014, he gave a excellent show&tell talk about his sleep, diet, and exercise data. In the talk below, he discusses using mood data in combination with calendar data to reflect on the relationship between emotion, experience, and self-image.
A man who tracked five years of sneezes might have a fix for your pollen allergy by Akshat Rathi. Thomas Blomseth Christiansen has spoken about tracking his sneezes at QS conferences. This article is a good telling of Thomas’s story.
Good tool with too small market can get a second chance – a hardware hack saves Zeo by Portabla Media. A short article on how Philipp Kalwies responded to the demise of Zeo. Since the sensors in the headband need to be replaced every three months and official supplies were dwindling on the secondary market, Philipp began to make his own and hopes to have this resource available to the small group of users who continue to get value from their Zeo devices.
The Right to Repair Ourselves by Kim Bellard. A common question in the QS community is “who owns your data?” Another question that should be given more time and is explored here, is “who owns the knowledge of how to ‘fix’ yourself?”
The Habits of Tracking My Diet and Exercise Data by Shannon Connors. Shannon has some of the most impressive personal data sets that I have ever seen. In this post, she gives an overview of the tools that she uses, what about the data she finds useful, and how she integrates the data collection into her day.
What you can learn from 2 years of Coach.me habit tracking + Machine Learning by Bryan Dickens. Applying association analysis to his coach.me data, Bryan was able to see which of his habits tended to occur together. There are some intriguing insights in here.
Visualizing Data in My Sleep with Tableau by Robert Rouse. Robert shows how his sleep patterns changed after the birth of his child.
On with the links!
Get your electronic health record: It’s your right by Lisa Zamosky. Make sure to know your rights when you ask for your medical records. A good overview of the regulations and some good links to have in your arsenal.
Open Data Rockstar: Jennifer Pahlka by Maria Renninger. We’re big fans of what Code for America is doing to make open data useful for people in communities around the United States. Great to hear a bit from Executive Director.
Awash in Data, Thirsting for Truth by Margaret Sullivan. The public editor for the New York Times goes deep on how data can be used, and sometimes abused, in the new era of data-driven journalism.
Meet the Hackers Who Are Decrypting Your Brainwaves by Sean Captain. I’m fascinated by the growing presence of brain tracking devices out there. Great to see some grassroots groups looking to make sense of all that data.
When Discrimination Is Baked Into Algorithms by Lauren Kirchner. The code that governs our machines are written by people. Fallible people who have their own opinions and biases. Who make mistakes. But what kind of legal protections are needed when discrimination is the result of the computers that run that code?
Why your bathroom scales are lying to you and how to find your true weight by Martin Robbins. Brilliant and fascinating post by Martin Robbins, who weighed himself every hour over a three-day period.
Soylent: What Happened When I Went 30 Days Without Food by Josh Helton. Say what you will about the techno-utopian food replacement product, but this is a great write-up on a month-long experiment to live off the stuff even while running nearly 70 miles per week. (Don’t forget to check out the data!)
A Heatmap of Over 900 Days of Writing Data from My Google Docs Writing Tracker by Jamie Todd Rubin. Jamie shows us the data from the last two and a half years of tracking his writing.
This Week on QuantifiedSelf.com
Announcing the 2015 Quantified Self Europe Conference Program
Track HRV, Make a Dashboard, and Have Fun with Fitbit at QSEU15
The 2015 Quantified Self Europe Conference will commence in less than four weeks, bringing together the QS community to share what they’ve been learning with personal data.
Anyone who engages in any sort of self-tracking discovers that the data collected is not a mere recording of some aspect of your life. Rather, engaging with and reflecting on that data can change the way that you relate to an aspect of yourself. Something as simple as getting on a scale each morning can change the way you think about weight. Morris Villarroel has discovered a novel way that this relationship can develop. At this year’s conference, Morris will talk about how using a Narrative camera to keep a visual record of his days, along with detailed notes, has changed his subjective experience of time, “bringing it closer to the present.”
I experienced something similar when I used a spaced repetition system to memorize entries from my daybook. Frequently recalling recent events kept the past distinct and novel. When a month passed, it no longer seemed like a blur, but a container filled with distinct experiences that differentiated itself from any other month.
You can find out more about how Morris gleans value from his lifelog at the 2015 QS Europe Conference. In addition to his show&tell talk, Morris will be leading a breakout discussion on how we can learn more from our lifelogs. We invite you to join us in Amsterdam on September 18th & 19th for two full days of talks, breakout discussions, and working sessions! Early bird tickets are still on sale. Register today for only €149!
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.
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.
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?”
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.
This Week on QuantifiedSelf.com
QS Radio: Episode #4
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!
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!
How 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.
How 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!
Visualizing 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.
I 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?!
My 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.