Calculating your Heart Rate Variability with SelfLoops

The SelfLoops HRV application calculates and displays the heart rate variability.

Heart rate variability (HRV) is the physiological phenomenon of variation in the time interval between heartbeats. It is measured by the variation in the beat-to-beat (called R-R) intervals. For an intro to HRV see: http://en.wikipedia.org/wiki/Heart_rate_variability

The metrics calculated at the moment are: SDNN, RMSSD, pNN50, AVNN.

To use the application you need a Bluetooth Low Energy heart rate monitor. We have personally tested the application with the Viiiva, Wahoo BlueHR and Polar H7 heart rate monitors.
The Viiiva is available at our store: http://store.selfloops.com/viiiiva-heart-rate-monitor-and-ant-bridge/

If you record the session you will be able to export the data, saved in csv format, to Dropbox, Google Drive, by email etc, and open it using Microsoft Excel, a text editor, Apple Numbers.

By using the application you expressly agree that SelfLoops is not providing medical advice with this application. Please, consult or ask for the advice to your physician or other medical professionals for any health related questions.

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Julián Sanz Ultra Cycling Rider uses SelfLoops

Julián Sanz is an ultra cycling rider from Spain. He rides with his bike an incredible amount of kilometers in a row. He is currently training for the famous RAAM (Race Across America). He uses the SelfLoops telemetry to allow the support car behind him to follow his conditions in real-time during the ride. SelfLoops is also there to analyze his rides afterward. You can only improve what you measure!

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Announcing lap support and data visualization improvements

We are constantly working to improve our advanced platform for performance analysis. Today we have introduced laps support and improvements on how the graphs show data.

You can now select the lap number and highlight the segment in the graph. For each lap we have calculated several metrics such as duration, elevation, average speed, power and cadence. You can visualize the lap in the map as well.

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Regarding the improvements with the graphs, we have maximized the information visualized at glance. Furthermore, the zoom function allows to show every single data point of the activity, reaching the maximum level of accuracy possible.

Enjoy!

 

Goals settings versus process

We are starting the new year, making new resolutions and setting our targets.

Are you wondering what metrics to track to evaluate your yearly progresses?

It is probably the case that there could be several metrics, and different objectives each year require different metrics.

However, in terms of supporting goals you establish or new year’s resolutions we’d suggest to focus on metrics that reflect process as opposed to outcome.

Track the things that are reasonably under your control like weekly hours of training, weekly time in various training levels, number of sessions of a certain type that match your training plan, weekly kj, etc.

That kind of stuff usually comes down to putting in the time and the effort. Not always of course as we have to allow for getting sick or life’s interruptions but we have far more control over the effort we put in than the results those efforts produce so we’d avoid goals like ‘raising my FTP to 400 watts’ or things like that unless you have very good reason to believe those goals are attainable based on previous history but still it’ll be the process goals that take you towards any outcome goals.

You can improve what you measure! Have a great 2014.