Heart Rate Variability Logger lets you record, plot and export time, frequency and non-linear HRV Features (includes experience sampling, RR-interval correction, DFA alpha 1 for aerobic threshold estimation in real-time, comparison between recordings, activity monitoring & step counting, location tracking).
Heart Rate Variability Logger requires a Bluetooth Low Energy (also called Bluetooth Smart or BLE or 4.0) heart rate sensor (we recommend Polar H7 or H10)
Main features:
- Extracts, plots, stores and exports heart rate, rr-intervals, time and frequency domain heart rate variability features (AVNN, SDNN, rMSSD, pNN50, LF, HF, LF/HF, alpha 1 from DFA)
- Configurable experience sampling for events annotation
- Comparison between up to 3 recordings lets you get a better understanding of differences in HRV under different contexts in a glance. The comparison modality includes also Outlier removal
- Activity tracking: step counter or accelerometer derived motion intensity for user context (step counter only for iPhones 5S)
- Location tracking, either using GSM/WiFi networks (low battery consumption) or GPS (high accuracy)
- Configurable time window for features computation (choose between 30 seconds, 1, 2 or 5 minutes)
- RR-intervals correction can be enabled to prevent ectopic beats or artifacts from affecting HRV features
- export for Kubios
- Filters data based on the selected threshold
- Shows HR in the app icon
- Data export using iTunes or Dropbox
- Tested for recordings longer than 24 hours
Please note that continued use of GPS running in the background can dramatically decrease battery life.
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2 out of 5
3 ratings
in Hungary
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Problem
I have already made the test and everything was perfect but when I finished I tried to send it to my trainer but I could not.
I tried to send it to the drop box but this section did not work, after I tried to download it with the iTunes but it did now work as well.
Could anybody find the solution? Thank you.
The program would be great if this section worked.
Good idea
Getting better all the time. Kubios is still better to analyse dfa a1, but this app has lots of potential!