UCM: UCM analysis for Finger forces

In angelobj/ASAs: UCM analysis

Description

Function to process and analize Finger Force data and to calculate Variance across the (Good) UCM and Orthogonal to (Bad) UCM. Analysis is made across subjects Steps: 1. Load Ramp trials and computes Enslaving Matrix 2. Plot individual finger forces 3. Load Trials from text files 4. Filter data, with Butterworth 2nd order, low pass filter, 20Hz cutoff frequency by default. 5. Computes Total Force and Force modes based on Enslaving Matrix 6. UCM analysis

Usage

UCM(subjects=c("S01","S02"),wd=c("/Users/Trials/"),Task="ASA")

Arguments

subjects
wd
Task
timeR

\time

timeS Begining and End of search time (in seconds) for ASAs. It should be specified by concatenate function (i.e c(1,20)). By default starts at steady state up to the end c(6,20),

freq
cutfreq
order
J

Value

Names of subjects, timeR, timeS need to be concatenated (separately)

Author(s)

Angelo Bartsch, MSc

Examples

## The function is currently defined as
ASA<-UCM(subjects=c("Paula","Angelo"),wd=c("/Users/Trials/"),Task="ASA",cutfreq = 20)
{
  }

angelobj/ASAs documentation built on May 10, 2019, 11:47 a.m.