Recognition of Lower Limb Movements Using Machine Learning Methods and Bispectral Maps of Wireless sEMG Measurements-Reference-Cited by-同舟云学术

Recognition of Lower Limb Movements Using Machine Learning Methods and Bispectral Maps of Wireless sEMG Measurements

Published:2023-09 Issue:9 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

K Arunganesh¹^ORCID,G Nagarajan²^ORCID,N Sivakumaran¹^ORCID,P A Karthick¹^ORCID

Affiliation:

1. Physiological Measurements and Instrumentation Lab, Department of Instrumentation and Control Engineering, National Institute of Technology, Tiruchirappalli, India

2. Department of Biomedical Engineering, Indian Institute of Technology, Hyderabad, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10214959/10225708.pdf?arnumber=10225708

Reference16 articles.

1. Enhancing Prediction of Prosthetic Fingers Movement Based on sEMG using Mixtures of Features and Random Forest

2. Patient classification based on sEMG signals using extreme gradient boosting algorithm;zhao;Proc 7th Int Workshop Adv Comput Intell Intell Inform,2021

3. A novel power-optimized CMOS sEMG device with ultra low-noise integrated with ConvNet (VGG16) for biomedical applications;ayman;J Cogn Neuro,2023

4. Walking activity recognition with semg sensor array on thigh circumference using convolutional neural network;md alias;Proc Int Conf Intell Eng Syst,2018

5. Deep Residual Neural Network for EMI Event Classification Using Bispectrum Representations

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