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.
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.
The current Strava integration supports the following modalities:
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:
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1. Context & Time of the Day
3. Paced breathing
4. Orthostatic Test
5. Slides HRV overview
1a. Acute Changes in HRV
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
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
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
7. HRV4T Coach advanced view
8. Acute HRV changes by sport
9. Remote tags in HRV4T Coach
10. VO2max Estimation
11. Acute stressors analysis
12. Training Polarization
13. Custom desirable range / SWC
1. Intro to HRV
2. HRV normal values
3. HRV by sport
4. HRV, strength & power
5. AngelSensor & HRV
6. HRV 101: How to
7. Top 5 most read articles
8. HRV normalization by HR