EMG Signal and Upper Limb Movement Dataset with Position and Angle Error Quantification.

Citation Author(s):
Camila
Clavijo
nstituto Politécnico Nacional
Valeria
Arias
Universidad Militar Nueva Granada
Rubén Darío
Hernández Beleño
Universidad Militar Nueva Granada
Edilberto
Mejía-Ruda
Universidad Militar Nueva Granada
Oscar I.
Caldas
Universidad Militar Nueva Granada
Paola Andrea
Niño-Suárez
nstituto Politécnico Nacional
Submitted by:
Camila Clavijo ...
Last updated:
Mon, 05/20/2024 - 19:10
DOI:
10.21227/p38b-7191
Data Format:
License:
0
0 ratings - Please login to submit your rating.

Abstract 

A database was created in .XLSX and .CSV formats containing the processing of an EMG signal and the position and angle error during the execution of three dynamic tasks based on the three-dimensional movement of the upper limb. This data was recorded from the quantification of the hand position error. The database comprises 166 rows and 18 columns, with parameters including the number of muscular activations, maximum muscular activation duration, minimum muscular activation duration, average muscular activation duration, standard deviation of muscular activation duration, maximum sample value, minimum sample value, average sample value, standard deviation of sample value, RMS (Root Mean Square), area under the curve, total power spectrum, median frequency, muscular fatigue, maximum power frequency, activity, joint angle, and position error.

Instructions: 

Open the folder containing the dataset and locate two documents: one with the extension .XLSX and the other with the extension .CSV. Each document contains a database that comprises 166 rows and 18 columns. The parameters included in the database are the number of muscular activations, maximum muscular activation duration, minimum muscular activation duration, average muscular activation duration, standard deviation of muscular activation duration, maximum sample value, minimum sample value, average sample value, standard deviation of sample value, RMS (Root Mean Square), area under the curve, total power spectrum, median frequency, muscular fatigue, maximum power frequency, activity, joint angle, and position error.

Comments

.

Submitted by Niloufar Besharatzad on Wed, 09/18/2024 - 20:00