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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User Rating
5 out of 5
1 ratings
in Japan
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Reviews
Nice app!
It is a nice app filling perfectly the purpose it was designed for. As athlete, I use it often the evening after a tough training to see how the HRV is evolving overnight and therefore to assess my recovery. In addition to the raw data, many metrics are precalculated and exported, which allow me to focus on the analysis of my body condition and not on preparing the data.