Blog post by Marco Altini.
How does it work?
The Strava integration in HRV4Training is rather straightforward:
Get objective training data, a more meaningful History & Tags autocomplete
As shown in the images above, after linking HRV4Training to Strava you will be able to see your trainings under history, and get the trainings summaries (pace/speed, distance, time, heart rate, etc.) by tapping the training icons.
We will also pre-populate some of the training Tags so that you don't have to manually do it after taking your HRV measurement. While some information is straightforward to add, for example training distance, other data might be a bit more tricky. For now, apart from recording all extra parameters above (pace, time, heart rate, elevation), we will also pre-populate training intensity, training distance and sport type. We discuss here only training intensity. Training intensity
For the ones that want to know how we pre-populate the training intensity tag. Here is a quick summary:
Research opportunities & data products
As I often try to stress, one of the main goals of HRV4Training is to gather a unique dataset including physiological, lifestyle and training data, so that we can better understand these complex relations and provide better guidance at the individual level.
We submitted our first research paper a few weeks ago (you can find the abstract here), looking at the relation between self-reported training load and acute physiological responses. Collecting objective training data will open additional possibilities. For example, while we've been looking at providing you with features based on the latest research, we were limited on the ability to track longitudinally performance and related within-individual changes in HR and HRV, since we did not have reference points as typically collected in well designed research studies (e.g. the 3000 m run in the first study described here). However, by gathering actual training summaries, we will now be able to better track objective physical condition and performance and potentially build new individual models. As we experiment on these aspects, we will also be providing you with updated features, as usual. Limitations
The current Strava integration supports the following modalities:
Why Strava?
Mainly because of the broad userbase it serves (from the occasional runner to the professional athlete) and the effort they are making to use their data to provide actual useful insights and data products, similarly to what we try to do in HRV4Training.
Here are some more details, just my personal opinion, after trying most apps:
Like the app and the blog?
2 Comments
George Gray
6/2/2017 12:23:14 pm
Hi. I bought both your apps and measure HRV daily. Have also seen a couple YouTube interviews you've done.
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Marco Altini
6/2/2017 12:30:19 pm
Thanks a lot George! I hope you'll find the apps useful.
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Marco Altini, founder of HRV4Training Blog Index The Ultimate Guide to HRV 1: Measurement setup 2: Interpreting your data 3: Case studies and practical examples How To 1. Intro to HRV 2. How to use HRV, the basics 3. HRV guided training 4. HRV and training load 5. HRV, strength & power 6. Overview in HRV4Training Pro 7. HRV in team sports HRV Measurements Best Practices 1. Context & Time of the Day 2. Duration 3. Paced breathing 4. Orthostatic Test 5. Slides HRV overview 6. Normal values and historical data 7. HRV features Data Analysis 1a. Acute Changes in HRV (individual level) 1b. Acute Changes in HRV (population level) 1c. Acute Changes in HRV & measurement consistency 1d. Acute Changes in HRV in endurance and power sports 2a. Interpreting HRV Trends 2b. HRV Baseline Trends & CV 3. Tags & Correlations 4. Ectopic beats & motion artifacts 5. HRV4Training Insights 6. HRV4Training & Sports Science 7. HRV & fitness / training load 8. HRV & performance 9. VO2max models 10. Repeated HRV measurements 11. VO2max and performance 12. HR, HRV and performance 13. Training intensity & performance 14. Publication: VO2max & running performance 15. Estimating running performance 16. Coefficient of Variation 17. More on CV and the big picture 18. Case study marathon training 19. Case study injury and lifestyle stress 20. HRV and menstrual cycle 21. Cardiac decoupling 22. FTP, lactate threshold, half and full marathon time estimates 23. Training Monotony Camera & Sensors 1. ECG vs Polar & Mio Alpha 2a. Camera vs Polar 2b. Camera vs Polar iOS10 2c. iPhone 7+ vs Polar 2d. Comparison of PPG sensors 3. Camera measurement guidelines 4. Validation paper 5. Android camera vs Chest strap 6. Scosche Rhythm24 7. Apple Watch 8. CorSense 9. Samsung Galaxy App Features 1. Features and Recovery Points 2. Daily advice 3. HRV4Training insights 4. Sleep tracking 5. Training load analysis 6a. Integration with Strava 6b. Integration with TrainingPeaks 6c. Integration with SportTracks 6d. Integration with Genetrainer 6e. Integration with Apple Health 6f. Integration with Todays Plan 7. Acute HRV changes by sport 8. Remote tags in HRV4T Coach 9. VO2max Estimation 10. Acute stressors analysis 11. Training Polarization 12. Lactate Threshold Estimation 13. Functional Threshold Power(FTP) Estimation for cyclists 14. Aerobic Endurance analysis 15. Intervals Analysis 16. Training Planning 17. Integration with Oura 18. Aerobic efficiency and cardiac decoupling Other 1. HRV normal values 2. HRV normalization by HR 3. HRV 101 |