heartbeatr
A Workflow to Process Data Collected with PULSE Systems
Given one or multiple paths to files produced by a PULSE multi-channel or a PULSE one-channel system (<https://electricblue.eu/pulse>) from a single experiment: [1] check pulse files for inconsistencies and read/merge all data, [2] split across time windows, [3] interpolate and smooth to optimize the dataset, [4] compute the heart rate frequency for each channel/window, and [5] facilitate quality control, summarising and plotting. Heart rate frequency is calculated using the Automatic Multi-scale Peak Detection algorithm proposed by Felix Scholkmann and team. For more details see Scholkmann et al (2012) <doi:10.3390/a5040588>. Check original code at <https://github.com/ig248/pyampd>. ElectricBlue is a non-profit technology transfer startup creating research-oriented solutions for the scientific community (<https://electricblue.eu>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling source/ R- | heartbeatr_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
rolling linux/jammy R-4.5 | heartbeatr_1.0.0.tar.gz |
2.2 MiB |
1.0.0 |
rolling linux/noble R-4.5 | heartbeatr_1.0.0.tar.gz |
2.2 MiB |
1.0.0 |
latest source/ R- | heartbeatr_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
latest linux/jammy R-4.5 | heartbeatr_1.0.0.tar.gz |
2.2 MiB |
1.0.0 |
latest linux/noble R-4.5 | heartbeatr_1.0.0.tar.gz |
2.2 MiB |
1.0.0 |
2026-04-23 source/ R- | heartbeatr_1.0.0.tar.gz |
2.3 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | heartbeatr_1.0.0.zip |
2.2 MiB |