This script extracts data from baseline task, maximum task as well as isometric torque generation task.Each modules contains helper functions that being used in different programs.This folder is a model folder that contains a collection of modules.Demo and Resultįour muscle synergies are decomposed when shoulder abduction load is 10 % MVT shoulder abduction, two muscle synergies are decomposed when that is 50% MVT shoulder abduction. The participant's testing arm was affixed to an isometric measurement device at 85° shoulder abduction, 40° shoulder flexion, and 90° elbow flexion. At the beginning of the testing session, the participant sat with their torso and waist strapped to the Biodex chair. The participant was requested to not exercise the day before and of testing to avoid muscle fatigue. A DAQ card acquires data from these sensors, and a Matlab program streams the data. The sEMG signals indicate the electrical activity within each of the eight testing muscles. In addition, the system quantifies muscle activity using eight surface electromyography (sEMG) electrodes (sEMG1: biceps, sEMG2: triceps lateral, sEMG3: anterior deltoid, sEMG4: medial deltoid, sEMG5: posterior deltoid, sEMG6: pectoralis major, sEMG7: lower trapezius, and sEMG8: middle trapezius). The acquired data, in conjunction with a biomechanical model, indicate the extent to which the participant flexes about the testing elbow and abducts about the shoulder. The system acquires torque data from a six-degree-of-freedom load cell. The experimental setup, as shown in Figure 3, was comprised of a custom mechatronic system, a monitor, speakers, and Biodex chair. As such, we can determine normal muscle activation patterns in a population that is neurologically and orthopaedically intact. Specifically, the goal is to determine how muscles concurrently activate when an individual abducts at the shoulder and flexes at the elbow. In this work, the focus is on muscle activation at the arm. Activation of muscle synergies, rather than individual muscles, allows for a simplified control of one’s limb. The activation of muscles in this grouped manner is termed muscle synergies and is part of a hierarchical control strategy. Instead of controlling each muscle individually, our brain is thought to recruit these muscles in set groups. There are more than 600 muscles in our body. In turn, muscles contract and the arm is raised and extended. To achieve this task, movement-related signals are generated from the motor cortex of our brain and relayed to muscle fibers via motor neurons. While seemingly simple, a motor task, such as retrieving an object from a high shelf, is very complicated. This project aims to identify how muscles are synergistically activated at the arm during a multi-joint task. This repository provides Python code for extracting and processing the experimental data as well as the code for muscle synergy identification and result plotting.įor details in experimental procedures, muscle synergy hypothesis as well as result analysis, please refer to my portfolio post Musheng He
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |