Dynamic Muscle Fatigue State Recognition Based on Deep Learning Fusion Model
The timely and accurate recognition of dynamic muscle fatigued states in rehabilitation training helped in tailoring more scientifically effective training plans for patients. In this study, a CNN-LSTM-Transformer (CLT) model based on surface electromyographic signals (sEMG) was proposed to address...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10233862/ |