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Data Science Cyclist
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Добавлен 2 дек 2018
This channel is devoted to assisting cyclists of all levels, from serious social riders to professionals, to use data to optimize their training for maximal efficiency and performance. The data science cyclist is an international expert in health data and analytics. He is the overall leader of an international network of university teams which drive bodies of data and analytical work to improve how country governments and global agencies like the World Bank and United Nations focus their resources and attention on what will have greatest impact for populations of people. He is now bringing this concept of precision targeting using data and analytics to the cycling community, where his passion and interests lie, to most efficiently maximize improvements in performance against an individuals’ desired objectives.
New cycling accomplishment metric: combine distance traveled and elevation gained
The Data Science Cyclist devises a new metric for combining distance traveled and elevation gained to measure overall accomplishments from a ride. It can be used to compare two rides with different profiles of ride length and elevation changes. Specifically, the flat-equivalency distance (FED) is the distance on flat road which would require the equivalent total work to cycle given typical riding and conditions. Statistical analysis revealed that the FED (in km) is calculated by distance (km) + 1/20 * elevation gained (in metres) - 1/70 * elevation loss (in metres). An imperial version is also provided.
Another metric is proposed to quantify the cumulative accomplishments of numerous ride...
Another metric is proposed to quantify the cumulative accomplishments of numerous ride...
Просмотров: 6 100
Видео
Retracing the 2018 Tour de France Queen Stage
Просмотров 2885 лет назад
The Data Science Cyclist, and a good cycling buddy, retraced the route of the queen stage of the 2018 Tour de France. This included three out-of-category (hors categorie) climbs (Col de la Madeleine, Col de la Croix de Fer, Alpe d'Huez) and a category three climb (Lacets du Montvernier, one of the most beautiful climbs in the world). Finishing on the most iconic climb in cycling, Alpe d'Huez, t...
Highlights package from cycling tour over the French Grand Alps
Просмотров 2895 лет назад
Highlights from a 10-day cycling adventure of a lifetime for the Data Science Cyclist and friend from Lake Geneva to Nice, over the French Grand Alps, .
Using data for precision-targeted cycling training
Просмотров 4675 лет назад
The Data Science Cyclist combines his professional expertise in health data analytics with his passion for cycling to document the extensive science-driven process he went through to train and prepare optimally for his cycling adventure across the French Alps. Good luck with your training: use your data to target your training for greatest efficiency to maximize your performance! Feel free to l...
Everesting: What is the optimal climb and riding strategy?
Просмотров 35 тыс.5 лет назад
Principles of optimization are explained and applied to the problem of determining the characteristics of a climb, riding intensity and position on the bike which are scientifically optimal for an Everesting challenge. Physics, data collection and data science are used together to calculate the optimal strategy for the Data Science Cyclist. But the findings are generally applicable to anyone re...
"find the best managable climb and ride at a sustanable pace" 12 minutes of goddamn remainders of how your are a scientist and a nerd and this is what you got? lmao... dude. If you spent 3 days riding different gradients and not 3 weeks of reading papers on bike wobble you would come to that mindblowing conclusion earlier. ffs the time i spend on crap like this....
Great tips. I did it on a very hot day, cold shower and ice were fundamental to keep my body away from overheating I did my first everesting last week on Alpe du Zwift, hard as hell but the satisfaction at the end is unbelievable!
Gibberish
really interesting, i never knew there was no limit , i have literally stopped 3semi-serious attempts as i fell below a 24 hour pace, now i know!
I would think also selecting for good road surface is also important? something at 10% on a rougher surface might be less efficient than new smooth tarmac at 9%? Then also favourable wind conditions.
thanks for teaching us the study's
very cool
Amazing, thank you!
too long, limited use. in summary, pick a climb you are comfortable on.
Fantastic video. You'd do well to spend some time in the gym correcting imbalances and building up some muscle to improve knee stability.
If you are doing everesting on a 10% in 10 hours it should be an equivalent to 500km. It's too much. Should be closer to 350 km
Man start making videos again
I want to contact you coz I am also studying data science please
datasciencecyclist@gmail.com
All common sense stuff IMO and I’ve looked at doing this too. You’ve got to work with what you’ve got. Thanks for sharing. Ronan McLaughlins video and podcast is a tell all of how to do it. He’s connected with cycling tips and did 6:42 and holds world record. I’d need close to 24 hours at my age. Good luck with your attempt.
i am a cyclist too and i am learning data science too
By far the most detailed, yet for the general rider analysis by miles, no pun intended. Would be really interested to see a follow up of how you got on and whether you found if your hypothesis worked for you? Thank you
You sir are a fine sport scientist, I appreciate sharing this piece of wisdom with us.
Great video! Eigenvalue stability analysis seems a bit much but is a fun touch to make it more fully thought through! Great approach and great breakdown! Very appealing for people from an engineering or maths background
Thanks for the comment. You're right about the stability analysis - that was going a bit much but it was the rabbit hole I went down! :). Good luck with your Everesting!
What was your nutrition during the ride?
This was very helpful. Thank you. I now have a 2800' climb in 9 miles at a 5.6% grade.
Sounds like you've chosen a good climb. Very best of luck with it!
You went to such great lengths to make a good, informative video, but you didn't bother getting a decent microphone.
Did you finish tho?
I have a 12 mile hill with 3000 feet each time. I want to try this pretty soon...Wish me luck...
Good luck! You got this!
Oh no the audio is off I wanted to get the tips.
Basically, choose the steepest manageable climb that is possible to do for a long duration if you want to complete it the fastest or with lowest fatigue. But too steep and you’ll need too much recovery and damage muscles and if your climb is less steep you will have to do too much work to overcome aerodynamic drag and rolling resistance. Aim for the steepest possible climb that’s manageable. And try to make it as constant a gradient as possible.
@@davidwilson917 Thank you for the info.
I'm into cycling in a big way but eve resting doesn't really interest me.
I would love to be able to ride half-Everest. Best I did was Mt Ventoux in 3 hours. (1600m elevation).
Mt Ventoux is iconic and a great accomplishment! Well done! A half-Everesting is a great aspiration. Good luck!
Good gearing...take your time. Nothing is unachievable if you set the expectation right, prep properly and keep fuelling the body.
Just did an everesting this weekend. Video on my page 👍
Congratulations!
Very interesting videos! Please post more. My only criticism is the duration of the graphics’ appearance because I have to pause every couple seconds to be able to in-depth read through these great slides. Btw, did you succeed your everesting attempt?
I was going to watch this. But quickly realized it was over complicating a relatively simple challenge. Get fit. Ride hills. Pick a climb of any length. Ride it until you top 8488m Hydrate and fuel. Done.
Fantastic video. Loved it. Thank so much.
ruclips.net/video/zZeP52bIUWg/видео.html // Everest Challenge Muskiz / 112v 8.923m desnivel 189km 19h27' en movimiento 20h14' transcurrido
I agree with you where is begs
Thanks very much for taking the time to do this. I am hoping to complete an Everesting a few months from now and had selected a 10% 4 mile climb near my house. I was planning on getting a very large gear (34-40), staying seated as much as possible, and going as slow as possible (which will probably be about 7 kmh). Glad to hear that science has backed up my strategy. Again, thank you!
Glad it was useful. Sounds like you have a great strategy. Best of luck with your Everesting!
I'm sure its an interesting video but I literally can't hear a word you're saying.
Hi. Great video. There's an interesting new Metric that seems to have come out of the recent Everesting attempts by Pro's (see the latest Phil Gaimon video). The recent Everesting attempts are being done at Altitude which kind of goes against the grain as there is less oxygen. But the belief is that the air resistance going downhill is less which makes Everesting at altitude when your optimising for minimum time. It would be interesting to get your thoughts on this.
Great point, Phill. Altitude affects air density, which will lead to less aerodynamic resistance particularly when going downhill. If one chooses a low gradient then aerodynamics will be more important going uphill too. But assuming the slope is relatively steep to minimie time, then one will go faster downhill. This needs to be balanced with a possible reduction in power output due to less oxygen uptake, if oxygen intake is a limiter at the chosen altitude. This changes between people; oxygen intake is a limiter for me at altitude. Overall, I would want a warm day at lower to moderate altitude so my oxygen intake will be maximal to maximize my power output as this is more important that the very short time lost in not maximizing descent speed.
really interesting! did you publish??
Thanks :). The analyses have only been released here. I was thinking about publishing but got too busy with regular work. Hope you find it useful!
Interesting calculations and science! I tried to create a excel spreadsheet using my data to find the optimal gradient and power for my everesting. However I struggle to put the 24hrs/12hrs curve into the diagram. Any chance you could explain how to calculate this part?
Or maybe there is a ready made spreadsheet? I'd highly appreciate some support here.
Thanks for your comment. These curves are calculated using the physics equation included, for different times (t=12 hours, 24 hours) and different gradients calculate the power required to balance the equation; then enter a new gradient and calculate the new power required. This can be done using solving algorithms or adjusting numbers in excel until the balance is right. I wish you the best in your calculations and even more in your Everesting attempt. Even without doing the calculation directly for yourself, the principle which generally applies is that the best approach is usually the climb with the highest manageable gradient for you. Happy riding!
A thing that nearly everyone forgets to mention that everesting is a very rare challenge where searching for a windy place is an advantage. If you can find a climb in that area that mostly has a big tailwind then it makes the challenge hell a lot "easier" even if the descent will be slower due to the headwind.
Where can one find electromyography shorts?
I got mine from Myontec (www.myontec.com/). Be warned though that they have a limited offer on the accompanying software to get to all the granular detailed data and then the subscription is very expensive. Without the subscription just average data are available from the accopanying phone app. There are other companies who sell these types of shorts.
really interesting video...just went a bit beyond my physics knowledge ;-) But just one question concerning the EMG measurements...did you just looked at amplitude or also at the frequency spectrum of the signal. Just intuitively I would rather ride at a slightly higher cadence, so that less "force per contraction" is needed and thus the load can be carried by the more fatigue resistant motor units (which ty my knowledge also are activated with a lower frequency, thus the question about the frequency content).. cheers and greetings from switzerland :D
The EMG measurements are highly frequent. They were also strongly correlated with power. You are right that a higher cadence will use more of the aerobic energy system and you can save some of the higher force output per contraction. I agree that higher cadences are better, provided it is naturally comfortable. This can be trained to increase though and will help. Happy cycling and Everesting!
Maybe good to review your RUclips video for quality first - your voice volume is too low, or the background added stuff is too loud - too bad i wanted to watch
...turn up the volume. Gasp. I know right. Yes it's not balanced properly but aint hard to adjust the volume yourself lol
This guy is good! I sat thru this whole video totally focused!
Fantastic video. Thanks.
Super low volume, turn up your mic
Fantastic ... Really interesting, detailed and easy to understand :)
Your aerobic system and endurance have a lot of room for improvement looking at your power values, a good training program would make you improve substantially!
Awesome video! Did you ever get around to Everesting? You missed out one crucial factor about a climb though - rep length! I'm getting ready for my third Everesting and will be doing it on a climb that is just under 10 metres of elevation difference. Short & sharp reps seem optimal, as opposed to more drawn-out efforts, it feels like.
Number of reps would be an important psychological factor - good point. Congratulations on completing two Everestings and good luck with your third!
@@davidwilson917 Thanks, it's not only psychological though. Shorter reps mean you get to recover more often, so potentially don't build up lactate or burn energy in the same way as longer, sustained efforts. Definitely something I'd love to see someone dig into in a more sports science-y way!
10 metre reps sounds nuts. There'd be a bit of energy being wasted getting going for each rep, as opposed to maintaining a steady longer climb wouldn't it? I Just did one at 8.5 repeats to complete and the hardest thing was starting up again at the bottom. At least for me rhythm is key. Which also goes to steady gradient climbs or mixed gradient climbs. So many factors.
@@out_spocken Nice work! Having done three (100m, 30m and 10m climbs) I found the shortest ones to be easier and was my fastest. I think it's definitely down to personal preference though - mostly whatever makes a long day in the saddle psychologically easiest for you
Great work! This is really very detailed analysis. I am curious to know the result. What was the actual result when the learning was implemented?
I got tired only thinking the whole video about it
Quality content! Good work