Leveraging Surface Electromyography for Accurate Low Back Pain Classification Using Hybrid Deep Learning-Reference-Cited by-同舟云学术

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Leveraging Surface Electromyography for Accurate Low Back Pain Classification Using Hybrid Deep Learning

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Engineering Technology and its Applications (IICETA)
language:
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Author:

Obaid Mohammed Kadhim¹,Hassan Ahmed R.²,Hadi Maysam Reyad³,Mohammed Ibraheem Hatem⁴,Mohammed Aymen⁵,Al-Jawahry Hassan M.⁶

Affiliation:

1. Ahl Al Bayt University,College of Arts,Karbala,Iraq

2. National University of Science and Technology,Dhi Qar,Iraq

3. Altoosi University College,Najaf,Iraq

4. Al Rafidain University College,Department of Computer Communications Engineering,Bagdad,Iraq

5. Al-Farahidi University,Medical Technical College,Baghdad,Iraq

6. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351190/10351191/10351212.pdf?arnumber=10351212

Reference21 articles.

1. Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review

2. Exploration of physiological sensors, features, and machine learning models for pain intensity estimation

3. Prevention and treatment of low back pain: evidence, challenges, and promising directions

4. A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals

5. Recurrence of low back pain is common: a prospective inception cohort study

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