Classification of EMG signals with CNN features and voting ensemble classifier-Reference-Cited by-同舟云学术

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Classification of EMG signals with CNN features and voting ensemble classifier

Published:2024-02-05 Issue: Volume: Page:1-15
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Emimal M.¹,Hans W. Jino¹,Inbamalar T. M.²,Lindsay N. Mahiban³

Affiliation:

1. Department of ECE, Sri Sivasubramaniya Nadar College of Engineering, Chennai, TamilNadu, India

2. Department of ECE, RMK College of Engineering and Technology, Chennai, TamilNadu, India

3. Department of EEE, Hindustan Institute of Technology and Science, Chennai, TamilNadu, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2310726

Reference70 articles.

1. Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study

2. Identification of EMG signals using discriminant analysis and SVM classifier

3. Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease

4. Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

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1. Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

2. Survival Prediction of Patients after Heart Attack and Breast Cancer Surgery with a Hybrid Model Built with Particle Swarm Optimization, Stacked AutoEncoders, and the Softmax Classifier;Biomimetics;2024-05-19

3. Smart Motorcycle Helmet: Utilizing CNN for Multi-Task Learning;Qeios;2024-02-19

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