[基于卷积注意模块改进的多尺度卷积神经网络手肌强度预测模型研究]
Yihao Du1, Mengyu Sun1, Jingjin Li1
1Key Laboratory of Intelligent Rehabilitation and Neuroregulation of Hebei Province, School of Electrical Engineering, Key Laboratory of Intelligent Control and Neural Information Processing, Ministry of Education, Yanshan University, Qinhuangdao, Hebei 066000, P. R. China.
概括
一个新的深度学习模型结合了多尺度卷积神经网络 (MSCNN),卷积块注意模块 (CBAM) 和双向长期短期记忆 (BiLSTM) 提高了用于手部康复的肌肉强度预测精度. 该模型有效地捕捉空间和时间数据特征,改进康复策略.
科学领域:
- 生物医学工程 生物医学工程
- 康复科学科学 康复科学
- 医疗保健中的人工智能
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