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heartbeatr  

A Workflow to Process Data Collected with PULSE Systems
View on CRAN: Click here


Download and install heartbeatr package within the R console
Install from CRAN:
install.packages("heartbeatr")

Install from Github:
library("remotes")
install_github("cran/heartbeatr")

Install by package version:
library("remotes")
install_version("heartbeatr", "1.0.0")



Attach the package and use:
library("heartbeatr")
Maintained by
Rui Seabra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-18
Latest Update: 2025-09-18
Description:
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>).
How to cite:
Rui Seabra (2025). heartbeatr: A Workflow to Process Data Collected with PULSE Systems. R package version 1.0.0, https://cran.r-project.org/web/packages/heartbeatr. Accessed 05 Jun. 2026.
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Complete documentation for heartbeatr
Functions, R codes and Examples using the heartbeatr R package
Full heartbeatr package functions and examples
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