English

Analyzing biosignals using the R freeware (open source) tool

Data Analysis, Statistics and Probability 2015-03-19 v3 Computational Engineering, Finance, and Science Biological Physics

Abstract

For researchers in electromyography (EMG), and similar biosginals, signal processing is naturally an essential topic. There are a number of excellent tools available. To these one may add the freely available open source statistical software package R, which is in fact also a programming language. It is becoming one the standard tools for scientists to visualize and process data. A large number of additional packages are continually contributed by an active community. The purpose of this paper is to alert biomechanics researchers to the usefulness of this versatile tool. We discuss a set of basic signal processing methods and their realizations with R which are provided in the supplementary material. The data used in the examples are EMG and force plate data acquired during a quiet standing test.

Keywords

Cite

@article{arxiv.1103.3624,
  title  = {Analyzing biosignals using the R freeware (open source) tool},
  author = {Frank Borg},
  journal= {arXiv preprint arXiv:1103.3624},
  year   = {2015}
}

Comments

18 pages and supplementary material. Added two new subsections. An error corrected in supplementary file EMGfuns.R

R2 v1 2026-06-21T17:41:21.711Z