Yep, python and libraries around it like matplotlib/plotly/seaborn/pandas.

https://web.archive.org/web/20131221225841/http://iancackett.wordpress.com:80/2013/08/02/beyond-the-quantified-self

https://www.technologyreview.com/s/514886/the-quantified-brain-of-a-self-tracking-neuroscientist/

http://experimentable.com/qs-guide/#tools-analysis
wow, the coming soon thing is interesitng..

I’m a big Biostrap user. Easily the most comprehensive sleep tracking I’ve found yet. They even track leg movement, snoring and have a pretty neat report.

The EEG headbands are the most accurate by far. Dreem and Phillips Smartsleep. All the wristband actigraphy stuff has pretty poor correlations with actual lab results. They're good for knowing how long you slept and HRV but the error margins on individual sleep phases are pretty bad.

https://github.com/markwk/qs_ledger

To get started, we recommend downloading and using the Anaconda Distribution.

wonder if I need/could use conda for promnesia to easily integrate with my. package and stuff?

> Also, what do you want to use these sorted elements for? It's great if it's just for the sake of it too! But wondering if you're trying to find some cool correlations or something :)

Its a recurring problem in my project ideas where the dataset involves subjective attributes.

For example, one my ideas is creating a software that collects data about your personal day(hours slept, food eaten, medication taken, physical exercise, etc etc) and success metrics(money earned, how productive you are being, fat loss/muscle gain, etc etc) and give the user the correlations between the success metrics and the data describing the days, so the user have a 100% empirical and domain-blind feedback on what works for them. Kinda like what [this](https://medium.com/@mikebechtel/i-tracked-every-single-thing-i-ate-for-a-full-year-here-are-10-quick-a-has-2c259dd2f57b) guy did, but nicely packaged into a single software.

Then theres a lot of attributes that are too subjective(specially some of the success metrics), so having a consistent and methodical way of collecting this data would be useful. Also I have no idea if someone is working on something similar, would love to read some papers/articles about it so I can mature my ideas, see what works and what doesn't.

https://news.ycombinator.com/item?id=22793702

https://twitter.com/ilyaraz2/status/1294999170936221696
@ilyaraz2: Nothing containing caffeine during 95%+ of the days. After a decade of abusing coffee, I learned again to wake up and actually feel happy and energized. Before I seriously thought that only kids can experience that. (1/2) twitter.com/roydanroy/status/1...

figure out something mine?

• mouth taste
  
• 'eye sleepiness'
  
• weird stomach sensations
  
• weird head pulsations?
  

https://www.reddit.com/r/LanguageTechnology/comments/ekz9ii/processing_oneline_journal_entries_for_personal/
huh, quite similar to my workout processing parser..

https://github.com/mwaskom/seaborn/pull/1926

damn, fascinating, the guy committed to rexport and now I notice him in the pinoreer hackathon videos

https://en.wikipedia.org/wiki/Pulse_oximetry
sleep for android can connect to it apparently?

hmm, acceptable ranges are from 95 to 99%, so I won;t see much difference?

maybe i'll find smth to measure v02 though?

eh. before bci, way higher priority is voice control.

https://www.quantifiedbob.com/2014/12/visualizing-interstellar-viewing-experience/
TLDR normal HR is averaged; HRV is looking at the distribution

https://www.reddit.com/r/running/comments/4dvj3g/comment/d1uvilk
http://gadgetsandwearables.com/2018/06/04/best-heart-rate-chest-straps/

http://quantifiedself.com/2017/11/quantified-self-guide-tracking-cholesterol-hdl-triglycerides/
devices cost about 500-1000$, some even 2K, each test is 15$.

https://github.com/ActivityWatch/activitywatch

https://www.reddit.com/r/QuantifiedSelf/comments/9oyr73/apps_for_regularly_measuring_intelligence/e80h0xj/

There are quite a few very nicely done "brain training" apps (e.g. Lumosity and Elevate), but they want to show how you are improving by using their apps, rather than just giving you an assessment of your current state. Exporting results is another issue with these apps... Here are a few services that may be more suitable for doing regular measurements:

Cambridge Brain Sciences
Neurotrack
Braincheck

https://angel.co/skulpt

The world's first and only product that actually measures the quality of individual muscles and provides the advice and guidance tailored to the user’s unique physique and performance goals, all in an effort to improve muscle quality, address imbalances and weaknesses, and allowing for tracking true progress in the pursuit of achieving performance goals.

https://activitywatch.net/

https://github.com/markwk/qs_ledger

https://angel.co/quantified-self

https://www.corticalmetrics.com/quantifiedbob

https://community.jmp.com/t5/JMP-Blog/Assessing-my-Skulpt-Aim-data-with-JMP/ba-p/30634
not very conclusive, no clear trends

https://www.reddit.com/r/Digital_Immortality/comments/b5g7xw/xpost_with_lifelogging_whats_your_setup_to/

https://hyp.is/FG8Mci3-EemEMi8BZcadow/www.gwern.net/zeo/CO2

http://super-memory.com/articles/sleep.htm

Circadian graph and brainwork

some graphs and factors that impact sleep, I could look at them too…

Gadgetbridge (Communicate with Pebble/Mi Band/Amazfit Bip/Hplus devices and more) - https://f-droid.org/app/nodomain.freeyourgadget.gadgetbridge

http://www.thebioneer.com/self-quantification-explained-tons-ways-start-measuring-performance-progress/

Likewise measuring strength in a particular area is often just a matter of testing your 1RPM (1 rep max) on a particular exercise. Testing 1RPM without a spotter is a good way to crush yourself to death, so see how much you can lift for eight reps then add 20% for a rough estimate.
Note that muscle endurance is a separate thing from muscle strength. Likewise it’s sometimes useful to identify the specific muscles that are letting you down in particular movements. And note that the best way to train for muscle size is not necessarily the best way to train for muscle power.

http://theconversation.com/for-some-self-tracking-means-more-than-self-help-118235

Get the latest
23andMe experience
with the V5 chip

https://twitter.com/FTHopf/status/1138339813839462402
hmm. they are saying galvanic skin response captures skin conductivity as correlate of stress levels?

Todo
from Come as You Are by Emily Nagoski

https://twitter.com/sarahlovesdata/status/1209815315670093824

New tableau viz: My solitary culinary journey as a PhD student over past eight months.  The third IronQuest submission. Merry Christmas and have an awesome 2020 datafam. @sarahlovesdata
 @tableaupublic

https://github.com/markwk/qs_ledger

Pocket: articles read and read count from Pocket.

https://michaellustgarten.com/2019/10/08/resting-heart-rate-year-over-year-update/
looks like a pretty quantified blog..

http://www.markwk.com/2018/01/limits-to-mood-tracking.html

https://news.ycombinator.com/item?id=3680735

gwern on Mar 8, 2012 | parent | favorite | on: Learning from 20 years of personal analytics
It is pretty amazing, but in a way, Wolfram is also demonstrating how not to do Quantified Self: the point is not stamp-collecting, but data-collecting + experimentation + analysis. Right now, Wolfram has maybe #1 and #3, but he doesn't have any of #2, and he doesn't seem to really appreciate this:

https://mailchi.mp/5ece1f538885/quantified-bob-updates-hacking-jet-lag-holiday-wellness-tech-deals-more-2487133?e=458b1c350e

Curious if you exercised during the experiment and noticed an effect there? I find that even with just a couple hours less than my usual (~7.5), cardio exertion feels harder and my running is slower.

https://twitter.com/lehrjulian
right, interesting qs guy posting on HN

https://www.intelrealsense.com/lidar-camera-l515/

Intel® RealSense™ LiDAR camera L515

Introducing the world's smallest high‑resolution LiDAR depth camera.
Preorder now

The new generation of wearable magnetoencephalography (MEG) technology will certainly  revolutionise electrophysiological measures of brain activity. ⁦@NatureComms⁩  https://t.co/7w8Hz5Tf9b
https://twitter.com/neurodynamicsFR/status/1195459427039694849

http://quantifiedself.com/quantified-mind/

here was no single formula but one principle that comes up a lot is to change the difficulty of the test dynamically based on the user’s accuracy, to reach a steady state of some fixed accuracy, and apply Bayesian estimation to the parameters of interest. For example, in Digit Span we estimate the level in which the user would get exactly 50% of the trials correct. The reason that our verbal learning test doesn’t use a fixed number of items is that some people would find 10 items too hard and others would find 30 too easy, so any fixed number would waste a lot of their time testing them at an inappropriate level.

https://www.jvt.me/posts/2019/10/27/owning-step-count/

In the spirit of own your data, as well as get a bit more visibility for myself on how much I walk and maybe even add some accountability for days I don't walk as much, I thought I'd publish this data to my site.

hmm, indieweb thing

https://cloud.bluemaestro.com/logs
ok, can enable 'show log records' online..

That doesn't take second order effects into account

I love data. I love technology.  I love running.  I've got a crap ton of available data on virtually everything having to do with my running/health.  I have a high end Garmin watch, I run with my heart rate strap w/ Garmin Run Dynamics, I have a Stryd power meter, i used to track my HRV every morning, etc.

And it's almost all useless.  The more I've run, the more I've realized how little of it really matters.  Sure you can track your progress any number of ways.  My favorite, RE ratio (basically the amount of running power required for a given pace) very cleanly shows how much my efficiency has improved over long periods of time, but I can also look at long run pace for a given HR, resting HR, implied VO2Max, etc. etc. etc.  Or I could just look at old fashioned race times and see how they compare.

Almost all of this data is descriptive (and sometimes it isn't even meaningful) and it's almost never prescriptive.  The value of descriptive stats is minimal, beyond perhaps for some ongoing motivation to see improvement at regular intervals in the absence of races.  I really think tracking your mileage, pace, perceived exertion, and interval/workout details (when relevant) to be the key factors that are necessary.  It really doesn't take much to collect and track those.

So much of the data collected has false precision (just because a number is being spit out, doesn't mean it has inherent meaning or is accurate), and even more of it is useless without very detailed context.  Heart rate is the best example of this: the temperature, humidity, wind, your fatigue, whether you're sick, what you're wearing, if you had caffeine, if you ate before running, if you had a few beers the day before, etc. will all massively impact your HR on a given run.  Not to mention that people really need to know their max hr, min hr, vo2max hr, and lactate threshold hr for zones to have any meaning... and almost no one knows these numbers.

I have my training plan, and nothing really changes what i'm going to be running on a given day beyond how my body subjectively feels.

I'm interested in the process of quantified self and gathering information of your body with the help of wearable technology. It'd be interesting to hear from the community, what got you into quantified self and what for you is the value you get from it? What keeps you motivated to gather information or what made you stop?

At the moment I track my running pace and recovery times. I use the information to set a goal for each workout and plan them according to my energy levels. One of my friends is very organized in this sense and has tracked nearly all his runs this year. I've learned a great deal from him but I'd like to know more and understand what other ways there are to make use of the data that's out there.

https://www.reddit.com/r/QuantifiedSelf/comments/7jdhph/what_i_track_and_how/
could create similar post? people seems to like that one..

https://pinboard.in/u:mjochems/b:28abb0b17ee5

The Future of Quantified Self Devices - Aaron Parecki

https://github.com/OpenTracksApp/OpenTracks
use this instead of endomondo?

http://www.josiahzayner.com/2020/04/all-my-friends-are-dying.html

I order blood tests online and draw my own blood.

crowoy/Health-Analysis: Tool for visualising and analysing personal fitness data.

• https://github.com/joytafty-work/SleepModel
  
• https://github.com/search?l=Jupyter+Notebook&q=s_awakenings&type=Code&utf8=%E2%9C%93
  
• https://github.com/oshev/colifer/blob/592cc6b4d1ac9005c52fccdfb4e207513812baaa/colifer.py
  
• https://github.com/oshev/colifer/blob/592cc6b4d1ac9005c52fccdfb4e207513812baaa/reportextenders/jawbone/jawbone_sleep.py
  
• https://github.com/GlenCrawford/ruby_jawbone
  
• https://nyquist212.wordpress.com/2015/06/22/visualizing-jawbone-up-data-with-d3-js/
  

None
Data-Driven Health Trackers: An Actionable List - Mark Koester
in context

None
Data-Driven Health Trackers: An Actionable List - Mark Koester
in context

None
Data-Driven Health Trackers: An Actionable List - Mark Koester
in context

I’m going to be more intentional about taking screenshots of interesting moments or clips of things on my screen and I’ve set up an importer to automatically watch for new screenshot image files to import automatically.

This was a big thing with Tim Ferris when he was making an argument for "cheat days". Personally, I also found cheat days to be effective when on a restrictive diet. I think he ended up actually weighing his poop to prove the point.
I did notice that I couldn't breakthrough some key weight loss levels without both cheat days and intermittent fasting, with the cheat days seeming counter-intuitive to me.

Like, here timestamps vary across almost the whole hour??? the fuck is this?? seriously
I guess it's still sort of useful even with such resultion. but FUCK

dt	temp
2020-07-20T23:51:34.444000	21.0
2020-07-20T23:46:14.536000	21.3
2020-07-20T23:39:01.012000	21.3
2020-07-20T23:30:30.643000	21.3
2020-07-20T23:29:38.622000	21.3
2020-07-20T23:29:18.286000	21.3
2020-07-20T23:25:02.555000	21.3
2020-07-20T23:20:49.602000	21.3
2020-07-20T23:17:48.530000	21.3
2020-07-20T23:15:52.118000	21.3
2020-07-20T23:08:14.417000	21.3
2020-07-20T23:04:57.706000	21.3
2020-07-20T22:57:24.860000	21.3
2020-07-20T22:56:32.268000	21.3
2020-07-20T22:53:23.638000	21.3
2020-07-20T22:51:34.444000	21.3
2020-07-20T22:46:14.536000	21.8
2020-07-20T22:39:01.012000	21.8
2020-07-20T22:30:30.643000	21.8
2020-07-20T22:29:38.622000	21.8
2020-07-20T22:29:18.286000	21.8
2020-07-20T22:25:02.555000	21.8
2020-07-20T22:20:49.602000	21.8
2020-07-20T22:17:48.530000	21.8
2020-07-20T22:15:52.118000	21.8
2020-07-20T22:08:14.417000	21.8
2020-07-20T22:04:57.706000	21.8
2020-07-20T21:57:24.860000	21.8
2020-07-20T21:56:32.268000	21.8
2020-07-20T21:53:23.638000	21.8
2020-07-20T21:51:34.444000	21.8
2020-07-20T21:46:14.536000	22.3

FUCK. I should really cross check new data sources quicker before investing time in them. Fuck.

https://www.amazon.co.uk/UbiBot-Wireless-Thermometer-Temperature-Environment/dp/B071HVDDFB/ref=sr_1_1?ie=UTF8&qid=1551887603&sr=8-1&keywords=environment+sensor

http://ilbonte.github.io/rescuetime-again/

https://wger.de/en/software/features

https://en.wikipedia.org/wiki/Bristol_stool_scale

Synching/Exporting Body Temperature Data - Quantified Self / Apps & Tools - Quantified Self Forum

https://forum.quantifiedself.com/t/synching-exporting-body-temperature-data/4514/2

http://quantifiedself.com/2018/07/tracking-life-mark-krynsky/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+QuantifiedSelf+%28The+Quantified+Self%29

https://github.com/aquilax/hranoprovod-cli

https://shop.dreem.com/europe/

https://apizone.suunto.com/

Restrictions

The API will be provided to companies, organisations who are providing tools / apps / services for public audience. We currently don't offer the API access for personal use. We are reviewing the applicants based on for example the fit to our brand, interest from our customers and illustration of the innovation mindset We do not charge from the use of the API.

https://blog.bulletproof.com/step-4-learn-to-use-your-body/

Mobility Supplement 1: Hydrolyzed Collagen Peptides
This is a special tool I’ve been using for years to hack my flexibility. It’s helped me get to the level of flexibility I have now.

Collagen is the main building block of connective tissue.  When the collagen in your body begins to dry out and age, you lose flexibility.  Hydrolyzation is the process of breaking protein molecules into smaller ones.  This makes them more bioavailable and better absorbed into your joints and connective tissue.  Studies have shown this to be far more effective than other supplements such as glucosamine chondroitin and MSM.  I take 1-2 tablespoons a day before bed with extra small peptides that make it more effective.

Most food tracking apps have the ability to retrieve nutritional info via text search, barcode scan or recent favorites. Barcode search never works offline but typing search and 'favorites' do in some apps. Only a handful of apps have time stamping. I have three options:
Write code over OFF or USDA database using Automate, IFTTT or Waistline. The database may be out of date but it will never cease to exist, require internet or spy on user. Unfortunately this will require lots of work. Waistline just added a few useful features.
Pay 40$ per year for mfp. Chronometer without offline logging is useless in too many cases. I would be willing to pay 40$ for this product but not 'per year' partly because its guaranteed to change or even die at some point. So no, not really.
Or just use bitesnap. This would be the easy choice, but OFF database is way more detailed and I am afraid of Terminator models with better food identification algorithms.
'y' means Yes, has feature. 'n' means does not. ' ' is same as 'n'. 'p' means feature requires membership. 'w' means the feature exists but is not as good as a 'y'. '?' means I do not know.
name; search fave/recent barcode ; offline ; quantity timestamp notes export ; detailnutrition serv.choiceselect customfood ; addwater

SparklePeople; y y y ; ; y n n p ; y n y ; y
\------looseit; y y y ;y; y n n y ; w n ? ; p
\----fooducate; y y y ; ; y n n p ; y n y ; n
\---cronometer; y y y ; ; y p - p ; y y y ; n
\----fatsecret; y y w ; ; y n n ? ; y y n ; w
\-myfitnesspal; y y y ;w; y p - w ; y y y ; y
\---eathismuch; w y w ; ; y n ? ? ; w y y ; n
\---mynetdairy; y y y ;y; y n n ? ; y y y ; w
\-----bitesnap; w y y ;y; y y y y ; y y n ; w
glucose buddy; w y y ; ; ? y n n ; y y n ; n
my diet diary; w y n ;w; y n n ? ; y y y ; y
\------MyPlate; y y y ;w; y n n ? ; w n y ; ?
\---smartplate; y y y ; ; n n n ? ; n n ? ; ?

openfoodfacts;  y y y ; ; n n n y ; y y y ; n most detailed database
has "share" option maybe just export to txt editor and automatically timestamp?
[https://ndb.nal.usda.gov/ndb/](https://ndb.nal.usda.gov/ndb/)
waistline calorie tracker FOSS. Exports. unfortunately no timestamp and reduced nutrition details. faves offline.
YAZIO Lifesum nutritionixTrack no timestamp and I am tired. Feels like most of these apps are clones. I guess shuffling the data through 3rd part apps could eventually get it into a csv but researching that is too hard. Apps could queue entries offline then later search.
webmd no longer tracks food?
[https://www.choosemyplate.gov/tools-supertracker](https://www.choosemyplate.gov/tools-supertracker) discontinued
I think I got every single app available on android.
oops. HealthWatch 360 no timestamps.
People at openfoodfacts suggested cc calorie counter but CC does not have timestamps nor does it have much nutritional detail or exporting. Also nutrition by curlybrace and [https://github.com/vrublack/TacoShell](https://github.com/vrublack/TacoShell).
prettier list
[https://alternativeto.net/list/9624/food-and-nutrition-tracking-apps-for-quantified-self](https://alternativeto.net/list/9624/food-and-nutrition-tracking-apps-for-quantified-self)

>openfoodfacts
is the database you want.
 Waistline   the open source app based on OFF database may get enough features.
Until then there is Bitesnap.

https://news.ycombinator.com/item?id=5588967

Far* more worrisome than QS's failure to run t-tests and ritually chant 'we calculate a p-value of <0.05 therefore we reject the null hypothesis of no difference' is the pervasive publication bias (who reports failed experiments?), the absence of blinding even where quite easy leading to severe placebo effects (many supplements), tiny sample sizes, and dodgy data collection (selection bias).

https://www.bestonlinereviews.com/dna-testing/ancestry-dna-test-vs-23andme-vs-myheritage/

The most extensive by far, testing X chromosome, Y chromosome, Autosomal, and Mitochondrial DNA as well. 23andMe offer additional angel on you DNA – DNA testing for health. Those genetic markers are not covered on the DNA Ancestry DNA test. 23andMe health DNA test is one of the leading products in that niche. If you wish to read more about on that topic, we strongly advise you to read our comparison review of the two leading health DNA tests: 23andMe vs Futura Genetica.

With 23andMe, you will probably get the most comprehensive DNA analysis results.

Endomondo uses an equation that is a curve fit from data found in the paper "Prediction of energy expenditure from heart rate monitoring during submaximal exercise."  If you read the paper, they use heart rate, gender, age, and weight to calculate energy expenditure, and the correlation coefficients are...OK.
Make sure that your weight, age and gender are accurate.  That should eliminate any vast variability in the equation.  At that point, if your HR is still way off what you would think is normal, it could be that you are one of the outlying points in their curve fit and that it'll never be that accurate.  100 ca/mile is a pretty solid average for easy exercise.  If you are running super hard, it could be more.
If you can upload your data to a Garmin account, they use 'FirstBeat' which DCRainmaker claims is accurate within about 10%, and you may be able to get a more accurate approximation there.

https://pinboard.in/u:nhaliday/b:51addc9d5f81

Fitness trackers accurately measure heart rate but not calories burned

https://forum.quantifiedself.com/t/all-in-one-daily-tracking-blood-pressure-oxygen-saturation-heart-rate-temperature-ecg-and-blood-glucose-data/4113
eh, apparently something won competition, but not a production grade

https://github.com/ActivityWatch/aw-android

https://www.scottaaronson.com/blog/?p=249#comment-6885

Apparently (cant remember the exact paper), but the woman orgasm caisea the brain to partially shut down amd reset. I wonder if an EEG node could give some extra data.
With other quantified self experiments I overlay multiple sensors and tests.
Eg subjectively grading orgasms then working back to check that HR and other tests actually correlate.
There is a pedo test which is a cock ring that sits at the base of a flassid cock. They are shown different pics and can see the change in temp and bloodflow. Some weird other sensors could also work eg if wrist blood low drops maybe that is cause it is going somewhere else.
Temp would be interesting and an IR external cam may pick that up as measurable.
Breath rhythm, depth and tempo is probably a sign of a good one coming.
Quivering thighs is usually a good sign.
I also suspect blood pressure could be relevant also.

I purchased the Heartmath Emwave2, and I love it.  It sells for $200; I bought it from eBay for $100.  It's pretty convenient because of the ear clip and finger sensor, and you can use it without any app.   There is no app, but the online dashboard is useful though.  It is not designed for all day use, just for HRV training and balancing out your mood.
I also bout the Lief from Lief Therapeutics, Getlief.com, and only used it a couple of times. It is a wearable that sticks under your chest and tracks your HRV all day long.  When it senses your stressed it will vibrate to notify you; then it will vibrate in a pattern to breathe in and out to relax.  It's a pretty cool device but costly at $280.
I also pre-ordered the Oura ring, this to will track your hrv all day long.  I don't have any experience with it, but I'm excited to see something called the readiness score.  This score will tell you when your system has recovered from exertion.  I am 35 years old and play basketball; my body doesn't heal like it used to.  I'll be using this recovery score to know when I can go back on the court.

Have you checked openhumans.org? You can submit your project to get sleep data from users that agree to it. It also has builtin jupyter notebooks to do data exploration.

I was reading [this](https://www.reddit.com/r/Biohackers/comments/aocnp3/i_need_help_improving_iq_for_med_school/) post about a fellow drug user who got into law school and needed help 'getting smart' and it was very relatable for me. I just got into law school with a massive scholarship, in which I need to do very well to continuously receive. This is good news, but I have been smoking weed nearly every day for 8-10 years at this point (and a lot of other related experimenting) and it can be hard to focus, and I sometimes have very bad brain fog. I was able to get my BA and MA through studying what I am genuinely interested in and being really good at writing, but law school is different and I won't be able to BS it the same.
In that post, u/toomuchbasalganglia mentioned the Vie Light which looked cool, and after some research, I decided why not. I got the most expensive [intranasal light device](https://vielight.com/product/vielight-810-infrared-brain/) that they offer for $500 and I don't see any detailed reviews of the product so I figured I'd give it a go. Not everybody can afford that price tag so I figure I should give back to the community. I'm using a throwaway not because I'm a corporate advertising agency but because my main hobby is arguing with people on reddit (mostly alt-right/lite people) and I don't want them to have any personal info of mine, even minor stuff such as me being a pothead.
I don't fully understand the science behind it because I'm not so familiar with the terms, but it seems legit. From what I figured out, it shoots a laser up your nose. That laser gives your brain nutrients much the same way that the sun gives us nutrients through our skin. That said, I will be focusing on the effects that I notice on myself, not on the device. I remember reading somewhere (amazon review?) that 20% of the people that try it don't notice anything, so I hope I'm not part of that, or that the placebo is strong enough. I will also be making some changes in my lifestyle, which will hopefully act in tandem with the vie light.
It should be coming tomorrow night and I'll keep ya'll posted.

https://github.com/ContinuumBridge/tempo_adaptor

http://www.markwk.com/why-people-self-track.html

http://www.markwk.com/day-well-tracked.html
well, lots of it is quite manual, not sure what he's getting from it

http://www.markwk.com/2017/07/finding-my-vo2-max.html

At the end of the test, I would be asked to identify my Perceived Effort or Relative Perceived Exertion.

shit, no way I would be able to evaluate it from 0 to 20

http://www.markwk.com/2018/01/limits-to-mood-tracking.html

https://medium.com/@elenaakm/%D1%80%D0%BE%D1%81%D1%81%D0%B8%D0%B9%D1%81%D0%BA%D0%B8%D0%B9-%D0%B1%D0%B8%D0%BE%D1%85%D0%B0%D0%BA%D0%B8%D0%BD%D0%B3-659cf11be6f0

http://gadgetsandwearables.com/2015/09/14/skulpt-aim-review-hand-held-body-fat-monitor/

reddit claims it's close to dexa scan, but android app is clunky

apparently there is also chisel, but it looks worse

all the reddit references are about 2 year old..

http://lesswrong.com/lw/i8n/how_to_measure_anything/

Your problem is not as unique as you think.
You have more data than you think. You need less data than you think.
An adequate amount of new data is more accessible than you think.

overall unclear how to map to a real life problem
read the comments though, example (how to measure programmer productivity)

Next up: @lehrjulian
 about building a digital copy of himself.

If you've seen his blog, you know it's not an exaggeration.

I constantly experiment with various tracking tools to find the best balance of 1) accuracy, 2) battery life, 3) ease-of-use, and 4) real-time data.

Data is aggreggated from multiple sources and merged based on the quality of each data set. When possible, data is gathered and processed in real-time, depending on the capabilities of each tracker.

eh, looks like withings is completely all over the place.
omron slightly better, but still quite big oscillations even within the same year on plot? maybe taking several measurements a day would make up for it?

Wearables For Motion Tracking +
Wireless Environment Monitoring

The MTR sensing solution is a mountable device that includes the following sensors:

BMI160 6-axis Accelerometer + Gyroscope
BME280 Barometer/Pressure/Altimeter
BME280 Humidity
BME280 Temperature
LTR-329ALS Luminosity/Ambient Light
NCP15XH103F03RC Thermistor
4MB Memory
CR2450 Coin-cell Battery
and also Bluetooth Low Energy, Battery, CPU, button, LED, and GPIOs

shit, this looks awesome!!

I tracked my hike this year with my Garmin Fenix 3.so I really can only talk about my experience of this male and model. (We even confirmed this with my girlfriends Garmin Fenix 3 too)
I used UltraTrack mode.
What I found out is that even this watch was super inaccurate! It did track the GPS and it looks good on the map. But the distance was always off. ALWAYS. It didn’t matter which tracking mode I used or option for GPS or Glonass (I hear the new watches have some new type of GPS type connection which may improve results.
When I say the distance was off you would suspect maybe due to the tree density and the being obscured from direct line of sight would lower the stats but I found it was the opposite. From day one to the last it always made the distance over what I actually did.
Some was due to when you’d stop for water and forget to pause and the GPS would ‘wonder’ within a radius. This would happen again if you stopped to take off a jacket or break for a rest. Now I hear you say, put on an auto pause feature. Now this works while running and cycling etc where there is an obvious difference in speed. But walking, at times can be painfully slow! Sometimes miles take a while, especially when it’s rocky and steep or muddy etc etc. It’s almost impossible for that feature to work.
Now I used my battery pack that I carried with my stuff anyway to charge (roughly every 2 days) so that side never bothered me. I’d typically charge it when I got to camp and take it off charge by bed time. It charges super quickly so even if I forgot I could charge it at lunch.
Now to be fair, other than it over estimating the mileage. It tracked my steps, my time walking, my time sleeping, I would have it set to give me a warning to eat and drink every hour or two. It would tell me my altitude and elevation gain and loss and predict weather patterns based on barometric changes. Its waterproof to more than anything even the Appalachian river can throw at it and more rugged than anything. Etc etc etc.
You have to remember to start and stop it every day! I’m anal and so in my whole time it ran out of battery once while walking. Forgot to be stopped at the end of the day a few times.
If I could change anything I would have liked to have tested it out before in similar conditions but I have used that watch for everything else from triathlons to snowboarding so thought it would be accurate as there.
I would have also liked to have something like the Fenix 3HR or the new Fenix 5 with the new satellite options and HR monitor built in. Purely so I could track that and see my heart rate to know if I was pushing to hard but mainly I’m a stats geek!
As for your other options I would say it would eat through your phone battery faster than you can eat 3 snickers bars. Don’t bother with a solar panel. So many of the people I knew with them sent them home.
I have my stuff on Strava if you would like to see.
Edited to add more information!

I think a watch like the Suunto Ambit 3 peak or traverse would work really well for you. It fits all your criteria and more.

I have an Ambit 3 and use it on every single hike and find it invaluable. It can be setup last 200 hours, you can plot routes, mark coordinates, it has an altimeter and a bunch of other functions.

Check it out  - https://www.outdoorgearlab.com/reviews/camping-and-hiking/altimeter-watch/suunto-ambit3-peak

I have an older version of this
http://www.qstarz.com/Products/GPS%20Products/BT-Q1000XT-F.htm
and it's great. Strangely the current version has been out for several years with no upgrades and with the price only going up (rivaling smartphone prices now), but it's a perfect recorder. This version is supposed to have a 42-hr battery life and you can get an extra battery for a couple of bucks (it's a super common Nokia BL-5C compatible).

Alternatively (and even more expensive), the Suunto Ambit3 Peak watch claims 200 hours of battery life with 1-minute track accuracy recording interval.

Get GPX

In the Quantified Self community, structuring your talk based on the three questions “What did I do?”, “How did I do it?” and “What did I learn?”

At the risk of deviating too much from the original question, it’s good to consider the physical requirements to track HRV. Tracking intervals between heartbeats requires a significantly higher sampling frequency than tracking regular heart rate (typically over 250hz!). This is a significant drain on battery.

The battery drain is why most consumer wearable devices opt for tracking HR instead of HRV. And the ones which track HRV typically track it in a limited fashion (only occasionally at night, only on-demand, etc.)

love my Oura but I’m extremely skeptical of its HRV tracking due to the tiny battery. I put more trust in the Emfit QS with a dedicated power source. Or even the Scosche Rhythm which is basically one giant battery.

Before you spend a lot of money, check to see if this is something that your smartphone can handle.  GaiaGPS is available for both Android and Apple products, and for the $20 it can make your average phone do most of (but not all) of the things that a handheld GPS can do.  You'll get the benefit of a large screen, an easy to use interface, loads of free maps that you can set up in layers, and an active user community that can help you out.  Depending upon your phone, you may have battery life issues, issues with water resistance, issues with durability, and so on.  I use my MotoX Pure for casual day hiking and shorter trips, but not for longer trips for reason I'll explain below.

If all you're interested in is creating a GPS track (and not navigation) then your phone plus any one of the many free GPS tracking tools out there will do the job too.

If you are still interested in a dedicated handheld GPS I would suggest Garmin brand products.  I've been using an eTrex 30 for 4 years now for longer trips (over 2 days) along with the free  maps from [GPSFiledepot](http://www.gpsfiledepot.com).  I went with the eTrex over the more expensive Garmin units mainly because of size-it weighs around 4 oz.  By using Energizer lithium AA's I can get up to 35~40 hours continuous runtime, which is good for 3~4 days of hiking.  This includes not only making a track but also using it for navigation too.  The big downside to the eTrex units is the small screen.  Good points besides the exceptional battery life is ruggedness combined with being totally waterproof-I can (and have) used it all day long in the rain and can't count how many times I've dropped it.  The eTrex 30 has been replaced with an upgraded model but mine still works fine and I can't see any reason to replace it yet.

https://www.reddit.com/r/selfhosted/comments/9zn0p4/selfhosted_location_tracking_alternative_to/

Try Traccar. It's open source, and it's android client is on F-Droid.

right, so seems they have to be synced manually and it kept last 3 months? need to pull to refresh for them to show up

• it starts logging right from when you put the tracker on… so would be harder to tell when I started/stopped running
  
• some random weird 1-2 minute workouts? maybe when I pressed on the sensor by accident??
  
• no way to see the data online? wonder if could sniff on the API..
  

The Oura ring performed near-perfect for resting heart rate (r² = 0.996) and extremely high for heart rate variability (r² = 0.980) when compared to a medical-grade ECG device.

alcohol reduces sleep quality (duh); but not always… some Sangria at dinner knocked my deep sleep to 23 minutes, while a few glasses of white wine + 2 gin&tonics + 1 beer were followed by 52 minutes of deep sleep. Offset by club dancing that night? Who knows.
being sick (cold or stomach flu) reduces sleep quality
sleeping on couches sucks
just sleeping more tends to result in more deep sleep and higher readiness (duh), but again, not always

ask about polar, also add suunto and garmin?

hmm maybe it's not that bad?

If you sleep with your arm pinned under your body or positioned in another manner that compromises blood flow, it could cause abnormally low sleep-time SpO₂ readings.

Garmin F6 does not support ANT+ FE-C (or the Bluetooth equivalent)

Hi, I took your data at resistance of 8 and (linear) regressed power against rpm^2. The R^2 for the regression was 0.996. The regression was:
(resistance 8) Power = 0.023 * rpm * rpm +14.7.
The number of observations at level 4 was much smaller, so the regression had a poor R^2 = 0.971.
(resistance 4) Power = 0.0066 * rpm * rpm + 10.6
So the coefficient for Rpm^2 does not scale properly with the nominal resistance value.

A Garmin app that measures HRV(Heart Rate Variability) in a 3 minute test.

nice track visualization… ideally I'd have this for the whole day

Settings> User Profile> Wrist will allow you to change to left or right wrist (this affects gesture and which way the watch should expect movement in terms of step counting).

After extensive correspondence, and provision of data on tracked runs, Garmin eventually agreed that it was faulty but only offered a refurbished model - disgraceful!! Shame on you Garmin! Amazon on the other hand did not question my return of a faulty product. Lesson learned - don’t buy direct from Garmin! 

The pulse oximeter is not great. When compared to measurements with a professional fingertip pulse ox meter, the Fenix 6 is always lower. 

Max. battery GPS mode
Up to 50 hr./64 hr. with solar8
Up to 72 hr./93 hr. with solar9
Up to 120 hr./148 hr. with solar10

I basically did my own sleep studies (infrared cameras and such). Discovered that light really affects my sleep because I was more restless on clear full-moons. I blacked out my bedroom and it started feeling like I was getting much more sleep even though I wasn't. Faster to get to sleep and more rested when I wake up.
Bigger and firmer pillows also helped me.
I also felt like I toss and turn a lot in my sleep and always worried that I would disturb my girlfriend. Turns out I only toss in the last 30 minutes before I wake up on my own. I don't worry about it now, which probably helps me sleep some more.

https://twitter.com/altini_marco/status/1319191871281897472

@altini_marco: Some interesting data on the relationship between HRV (rMSSD), age, gender, BMI and physical activity level
N > 30 000
Higher levels of physical activity seem associated with better HRV regardless of gender, age and BMI
cc @dsquintana: dug a bit deeper, inspired by your paper pic.twitter.com/CtB7hm...

Heart rate recovery

Subtract your 2-minute heart rate from the heart rate you took immediately after exercising. The faster your heart rate recovers (or slows down) the fitter and healthier your heart.

hmm, nice from a quick glance, mine is 50-60? But would be nice to do a proper analysis

In the following example, the watch initially detected and locked onto the runner's pulse, but  around 20 minutes in it locked to their running cadence:

jesus!

hmm. maybe actually it's not badly wrong
seems that endomondo is reporting avg HR, so it's lower because of buildup and stops

it detected sleep while I was still awake and reading?? what the actual fuck???

Contrary to expectations (see poll below), resting heart rate decreased during the lockdown and remained lower in the first 6 months of the year

We get a smoothed version of the signal, because the fast variations have been lost when we have removed the high frequencies in the Fourier transform.

Therefore for random signals, the Fourier transform will not exist and their spectral density cannot be computed that way. Nevertheless, for such signals an indirect description, based on an autocorrelation measure, can also be defined, whose advantage being that the Fourier transform of it may exist. Therefore the PSD of a random process is defined as the Fourier transform of its ACF.

I wouldn't say the autocorrelation is particularly sensitive to noise, but it is sensitive to other frequency components. If you have multiple superimposed signals, this time-domain analysis becomes unreliable. That's where Fourier analysis shines, as it separates out the individual frequency components.

The blue is my running speed. I expect that a leaky capacitor model is a good first order approximation. From an engineering perspective, I think it corresponds to a PI controller https://en.wikipedia.org/wiki/PID_contr

[QS Forum] What Continuous Glucose Monitors (CGM) allow automated export of the data "out-of-the-box"?

fitness tracker accuracy

https://www.reddit.com/r/bodyweightfitness/comments/5o3gdz/recommended_fitness_tracker/dcgqku7/

Garmin VivoSmart HR+ here! I had the first VivoSmart and wore it to death so an upgrade to the new HR+ was made! I asolutely love it! Has everything I need as a keen runner! Heart rate, and GPS seem very accurate and it never fails to record data or connect to my phone, unlike my SO's fitbit, which she finds a nightmare! She is considering the purchase of Garmin after seeing mine.
My two kids have Garmin's too, the VivoFit Jr for my 6yo son and the VivoActive for my 10yo daughter. Both just as reliable and as fun as mine! Have fun!!

lots of interesting subjective/percieved stats

https://www.gwern.net/Nootropics#blinding-yourself
https://www.gwern.net/Nootropics#modalert-blind-day-trial

https://psychology-tools.com/

I really like GPS Logger on Android. It's really simple, highly configurable, and open source. Plus, it's not like I'm using my phone anyway. Setting it at 10-30 second intervals in airplane mode will last me a couple days. I haven't found a watch that won't break the bank that can do that.

https://play.google.com/store/apps/details?id=com.mendhak.gpslogger

It's just GPS points though. If you want to see them on map, you'll have to open it in a map program. I use GPX Viewer, but I don't think it's anything extra special. I also upload them automatically when I get internet again to Google Drive and Dropbox.

I pretty much have used my phone for everything since smart phones have been a thing. They are the ultimate multipurpose devices. I've never really felt the need or been able to justify things like smart watches, E-Readers, Cameras (once smartphones hit 5mp or so).

https://github.com/oliexdev/openScale

https://www.popsci.com/how-build-home-sensor

http://okinesio.org/development/how-to-get-raw-data-from-commercial-activity-trackers

https://news.ycombinator.com/item?id=22685537

the question of whether n-back training produces real-world improvements to working memory remains controversial.

I tracked everything I ate for the last year, along with my exercise, sleep, vitals, and sense of well-being. I'm just starting to analyze the 500,000+ data points, but here are 10 quick blink reactions:
Full Article Here:
[https://medium.com/@mikebechtel/i-tracked-every-single-thing-i-ate-for-a-full-year-here-are-10-quick-a-has-2c259dd2f57b?source=friends\_link&sk=ed6113272876d866eeaa23ec05415495](https://medium.com/@mikebechtel/i-tracked-every-single-thing-i-ate-for-a-full-year-here-are-10-quick-a-has-2c259dd2f57b?source=friends_link&sk=ed6113272876d866eeaa23ec05415495)

tl/dr here:

1. Exercise is a Heckuva Anti-Depressant.
2. Sugar & Salt hangovers: Nearly as bad as alcohol hangovers.
3. Two Days of Bad Sleep in a Row Will Mess. You. Up.
4. Weight Loss != Fat Loss
5. Carbs aren't evil. But they're... sneaky.
6. 15% body fat (for a guy) is doable with tasty food. 10% requires you to eat fewer tasty things. 5% requires you to forgo taste (and friends) entirely.
7. Muscles recover strongest 2-3 days after a workout, and stay stronger-than-baseline for about 2-3 days after that. Beyond that, wimpy-ness resumes and you atrophy. (Which is why consistency is key.)
8. Food Scales are your Friend. Casseroles, stews, and buffets are your Enemy.
9. Processed foods are easiest to track (because they have SKU's) but not as good for you. Whole Foods vs. Whole Data.
10. Standard McDonald's Cheeseburgers are, as far as I can tell, the most nutritionally complete food on a macronutrient-per-dollar basis.

https://www.reddit.com/r/QuantifiedSelf/comments/43dd10/quantified_self_books/

Trackers by Richard MacManus and Your Life, Uploaded by Gordon Bell are two great books on QS, but neither have a practical focus.

https://www.youtube.com/watch?v=1SDNainePw8&list=WL&index=73
nothing new really.. just measures glucose, hrv and air quality. He's not even using anything really too special

https://thescarlet.org/10883/category_news/ted-chiang-gives-lecture-on-lifelogging/
huh, interesting..

Includes a coin cell battery that can last for over 500 hours of workouts.

http://www.thebioneer.com/self-quantification-explained-tons-ways-start-measuring-performance-progress/
ok, it's all pretty obvious to me, but could be useful for other people

https://ourworldindata.org/happiness-and-life-satisfaction
pretty interesting, a lot of data (with csv sources) on correlation of happiness with other things

https://www.reddit.com/r/Biohackers/comments/9780qa/finally_received_my_gen_2_oura_ring_with_some/e46dqtd/

 Received my ring last Friday. Had the 1st gen but returned it due to inaccurate sleep readings. Unfortunately, the new ring seems to be inaccurate for me as well. Both rings read that I was asleep when I was meditating, laying awake in bed, or even making coffee. Since the Readiness score is based in part on the Sleep score that’s inaccurate, too. I contacted customer service last night, no word back yet.
The new material of the 2nd gen ring feels cheap and plasticky, although a better size and weight than the 1st gen. Overall, so far, not impressed. Especially after waiting over 9 months. But I look forward to my initial impressions changing for the better with continued use. Would love to hear from other Ōura users as well.

https://www.withings.com/uk/en/thermo

• [2019-02-16] meh, it's not continuous measurement
  

I created a system for tracking these things through Airtable. 
Here it is, along with a little guide: https://airtable.com/universe/expJ6uvPux8mgLoYV/track-everything-you-consume
Just thought you guys might appreciate it. Any feedback is welcome. I am new to self tracking.

• [2019-04-11] eh, they are doing it pretty manually…
  

https://talk.automators.fm/t/how-i-track-my-life-with-integromat-airtable-shortcuts-and-timing-et-al/5507/27

hey, I looked at same thing for tunturi e35. A much cheaper bike. The problem is this not a linear function. In magnetic resistance bikes, torque increases as linear function of RPM.

• [2019-11-16] not sure what I meant here, but would be cool to make notebooks completely interactive so people could plug in their models?j
  

make the free coefficient positive.

eh, maybe just use "intercept" with a link to wikipedia? not sure if free variable is a common language

highlight

• how easy it is to import data (demonstrate lru_cache?)
  
• plot the data
  
• want to find out the correlation with other things
  
• autocorrelation + fft analysis then
  

https://twitter.com/cubicgarden/status/1222447798223802369

Ian Forrester | @cubicgarden@mastodon.cloud
@cubicgarden
Dropping @Rescuetime
 for the privacy first @ActivityWatchIt

What is the most detailed effort to create a "life-system" to map out (and "optimize") human life in accordance with various values, much like you might do in an RPG or "The Sims" or some other video game?
As for visualization, I imagine something with colorized 3-D graphs, and many graphics, all of which allow you to optimize your life. The "Quantified Self" movement might have elaborate graphics/dashboards to this effect.
I would be especially interested in how values were balanced against each other--like a "utilitarian" formula, though I'm probably using that term wrong.
Eating chips is an "ITM" value to me. The pleasure is "in the moment" (ITM) and then the pleasure vanishes. Working out at the gym gives ITM pleasure, but it also gives ATC ("around the clock") benefits to your life by making you feel/function better. So I would be fascinated to see how any "life-optimization" system would balance ITM vs. ATC values, especially since the former seem dominant in our society (spectation, junk food, etc.) and the latter seem to have so much to recommend them in terms of total value.
Various values could be "optimized" and balanced within a personal "life-system," including ITM vs. ATC values. A "Type A" person might want to all but extinguish "ITM" values, and focus obsessively on ATC values.
Also, the system might be able to coerce you to make sure that you serve the interests of your future self, even though the present self might be too lazy/unmotivated to pursue the future self's interests. This is Orwellian, but it might be highly effective, and it's something you sign on to, and it's something that serves the future self. The system could give away some of your money or do other punishments if you ever eat chips (for example) or do something against your future self's interests. In a sci-fi world, the system might even be able to shock you like we shock dogs with shock-collars, but that's more extreme. You would sign on to this system weekly, or something, so it would represent your voluntary desires when you are in a state of peak reflection, rather than your momentary whims/instincts/cravings.

#lifeengine

Hi there. I am trying to record my internet activity for text search purposes in visited websites. My current solution is recording HTTP request URLs and downloading the websites using wget as .html and performing searches on these files. Is there a better way to do this?

I am the author of Aidlab, a wearable device for bioresearchers ([https://www.aidlab.com/developer](https://www.aidlab.com/developer)). Maybe Aidlab will fit your needs?