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Recognition of Chronic Low Back Pain During Lumbar Spine Movements Based on Surface Electromyography Signals

  • Published:2018 Issue: Volume:6 Page:65027-65042
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Du WenjingORCID,Omisore Olatunji Mumini,Li Huihui,Ivanov KamenORCID,Han Shipeng,Wang Lei

Funder

National Natural Science Foundation of China

Applied Project for Scientific and Technological Research and Development

Foundation of Public Technology Service Platform of Biomedical Electronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 16 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. A Comprehensive Review on - Machine Learning in Bio-Signal Analysis for Chronic Pain Research;2023 International Conference on Emerging Research in Computational Science (ICERCS);2023-12-07

2. Leveraging Surface Electromyography for Accurate Low Back Pain Classification Using Hybrid Deep Learning;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15

3. A Model for Lumbar EMG Signal Recognition Based on Stacking Integration Learning;IEEE Sensors Journal;2023-02-15

4. A Critical Review on Risk Assessment Methods of Musculoskeletal Disorder (MSD);Lecture Notes in Mechanical Engineering;2023

5. Surface electromyography (sEMG) based pain intensity measurement using SVM algorithm;INTERNATIONAL CONFERENCE ON SMART MATERIALS AND STRUCTURES, ICSMS-2022;2023
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