How do sEMG segmentation parameters influence pattern recognition process? An approach based on wearable sEMG sensor-Reference-Cited by-同舟云学术

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How do sEMG segmentation parameters influence pattern recognition process? An approach based on wearable sEMG sensor

Published:2023-03 Issue: Volume:81 Page:104546
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Mendes Junior José Jair Alves,Pontim Carlos Eduardo,Dias Thiago Simões^ORCID,Campos Daniel Prado

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference46 articles.

1. Chapter 1 - biomedical engineering: A historical perspective;Bronzino,2012

2. A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration;Bi;Biomed. Signal Process. Control,2019

3. A review of technology, materials and R&D challenges of upper limb prosthesis for improved user suitability;Brack;J. Orthop.,2021

4. Myoelectric control systems—A survey;Asghari Oskoei;Biomed. Signal Process. Control,2007

5. Principles of electromyography;Hennenberg,2000

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM;Expert Systems with Applications;2024-03

2. Surgical Instrument Signaling Gesture Recognition Using Surface Electromyography Signals;Sensors;2023-07-07

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