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      Analyzing biosignals using the R freeware (open source) tool

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          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.

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          Author and article information

          Journal
          2011-03-16
          2014-07-08
          Article
          1103.3624
          86350255-3707-4d6c-b950-1a0677f4f12c

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          18 pages and supplementary material. Added two new subsections. An error corrected in supplementary file EMGfuns.R
          physics.data-an cs.CE physics.bio-ph

          Applied computer science,Mathematical & Computational physics,Biophysics
          Applied computer science, Mathematical & Computational physics, Biophysics

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