Multi-branch deep learning neural network prediction model for the development of angular biosensors based on sEMG
This study designed a human walking gait recognition and joint angle prediction model to achieve accurate human lower limb motion intention recognition.The model can be integrated into the sEMG sensor to design a angular biosensors, which can predict the human joint angle in real time.
Authors
- Ruming Jia
- Jiange Kou (ORCID: https://orcid.org/0000-0003-2088-9778)
- Juncheng Wang (ORCID: https://orcid.org/0000-0003-0539-0063)
- Zhijun Shi (ORCID: https://orcid.org/0000-0003-2637-1320)
- Liman Yang (ORCID: https://orcid.org/0000-0002-0692-1498)
- Minghua Du
- Chunrong Bian
Institutions
- Chinese PLA General Hospital (CN)
- Cixian People's Hospital (CN)
- Beihang University (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.3389/fbioe.2024.1492232
- Citations
- 5
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.92
Funders
- Beihang University
- State Grid Corporation of China