Surface electromyographic signals collected during long-lasting ground walking of young able-bodied subjects

The present dataset is composed of long-lasting (around 5 minutes) surface
electromyographic (sEMG) signals recorded from 2011 and 2018 during ground
walking of 31 young (20 years < age < 30 years) able-bodied subjects in the
Movement Analysis Lab, Universita Politecnica delle Marche, Ancona, Italy.
Underweight, overweight, and obese people (body mass index, BMI < 18.5 Kg/m2
and BMI > 25 Kg/m2) and subjects affected by any pathological condition, joint
pain, or undergone orthopedic surgery are not included in the present dataset.
sEMG signals are acquired from the following ten different leg muscles (five
per leg): gastrocnemius lateralis (GL), tibialis anterior (TA), rectus femoris
(RF), hamstrings (Ham), and vastus lateralis (VL). Synchronized footswitch and
electrogoniometric data are provided in order to allow users to achieve a
spatial/temporal characterization of the sEMG signals. Data have been acquired
in subjects walking barefoot on level ground for around 5 min at their natural
speed and pace, following an eight-shaped path which includes rectilinear
segments and curves. The considerable length of the signals makes this dataset
very suitable for those studies where the numerosity of the data is essential,
such as machine/deep learning approaches, studies for analyzing and
quantifying the variability of muscle recruitment during physiological
walking, and creation of reference dataset in the characterization of
pathological conditions.

搜集汇总

背景与挑战

背景概述

该数据集包含31名20-30岁健康年轻受试者在5分钟地面行走过程中采集的表面肌电信号，覆盖双腿的10块肌肉，并同步提供足底开关和电测角仪数据。数据适用于机器学习、步态分析等研究，特别适合分析肌肉活动变异性和作为病理状态的参考数据集。