act_pattern

A data frame containing one activation pattern extracted from one wild type mouse
walking on a treadmill.

datasets

Provides a framework to factorise electromyography (EMG) data.
Tools are provided for raw data pre-processing, non negative matrix factorisation,
classification of factorised data and plotting of obtained outcomes.
In particular, reading from ASCII files is supported, along with wide-used
filtering approaches to process EMG data. All steps include one or more sensible
defaults that aim at simplifying the workflow. Yet, all functions are largely
tunable at need. Example data sets are included.

Alessandro Santuz

musclesyneRgies

Extract Muscle Synergies from Electromyography

act_pattern function

A data frame of two columns:
<dl>
<dt><code>time</code></dt>
<dd>Normalised time in points.</dd><dt><code>signal</code></dt>
<dd>Activation pattern</dd>
</dl>

Format

Single activation pattern example (30 cycles) — act_pattern

A data frame of two columns:
<dl>
<dt><code>time</code></dt>
<dd>Normalised time in points.</dd>

<dt><code>signal</code></dt>
<dd>Activation pattern</dd>


</dl>

act_pattern: Single activation pattern example (30 cycles)

Description

Usage

Arguments

Format