Robust Classification of Intramuscular EMG Signals to Aid the Diagnosis of Neuromuscular Disorders
<italic>Goal:</italic> This article presents the design and validation of an accurate automatic diagnostic system to classify intramuscular EMG (iEMG) signals into healthy, myopathy, or neuropathy categories to aid the diagnosis of neuromuscular diseases. <italic>Methods:</itali...
Saved in:
Main Authors: | Shobha Jose, S. Thomas George, M. S. P. Subathra, Vikram Shenoy Handiru, Poornaselvan Kittu Jeevanandam, Umberto Amato, Easter Selvan Suviseshamuthu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Open Journal of Engineering in Medicine and Biology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9169782/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spontaneous Intramuscular Hematomas in Patients with Severe COVID-19 (Case Report)
by: N. A. Lesteva, et al.
Published: (2022-02-01) -
STUDY OF PREDICTION AND CLASSIFICATION MODELS IN THE PROBLEMS OF DIABETES AMONG PATIENTS WITH A STROKE IN DIFFERENT LIVING CONDITIONS
by: Nural Huliiev, et al.
Published: (2023-08-01) -
Improving neural network training using dynamic learning rate schedule for PINNs and image classification
by: Veerababu Dharanalakota, et al.
Published: (2025-09-01) -
Neural network models for whisper to normal speech conversion
by: Cézar Yamamura, et al.
Published: (2025-03-01) -
Microsurgical treatment of a giant intramuscular hemangioma in the right hand: A case report
by: Wei Zhao, et al.
Published: (2025-07-01)