Analysis of Surface Electromyographic Signals (sEMG) Using LabVIEW’s Biomedical Toolkit
- 4 January 2025
- book chapter
- Published by Springer Nature
- p. 449-461
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Upper Limb Muscle Fatigue Analysis Using Multi-channel Surface EMG2020
- Knowledge Based database of arm-muscle and activity characterization during load pull exercise using Diagnostic Electromyography (D-EMG) Signal.Cogent Engineering, 2020
- Increase in Muscle Activation during Physiotherapy with Electromyography Biofeedback for Patients with Acute Cervical Spinal Cord Injuries2019
- Electromyography in the Rehabilitation SciencesSalud Uninorte, 2019
- Biosignal monitoring using wearables: Observations and opportunitiesBiomedical Signal Processing and Control, 2017
- Rehabilitation of Motor Function after Stroke: A Multiple Systematic Review Focused on Techniques to Stimulate Upper Extremity RecoveryFrontiers in Human Neuroscience, 2016
- Myoelectric control of prosthetic hands: state-of-the-art reviewMedical Devices: Evidence and Research, 2016
- The Usefulness of Mean and Median Frequencies in Electromyography Analysis2012
- Surface EMG based muscle fatigue evaluation in biomechanicsClinical Biomechanics, 2009