ArticleIEEE journal of translational engineering in health and medicine2020
MyoNet: A Transfer-Learning-Based LRCN for Lower Limb Movement Recognition and Knee Joint Angle Prediction for Remote Monitoring of Rehabilitation Progress From sEMG.
Article in IEEE journal of translational engineering in health and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Ion-Driven Interfacial Engineering of MXene-Polyacrylamide Hydrogels for Advanced Wearable Electrocardiography and AI-Driven Blood Pressure Monitoring.Small science · 2026Article
- Attention-Enhanced Convolutional BiLSTM Model for Predicting Recovery Outcomes in Sports Injuries.Indian journal of orthopaedics · 2026Article
- Artificial Intelligence (AI) in Pharmaceutical Formulation and Dosage Calculations.Pharmaceutics · 2025Review
- Meta-Transfer-Learning-Based Multimodal Human Pose Estimation for Lower Limbs.Sensors (Basel, Switzerland) · 2025Article
- Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction.Frontiers in bioengineering and biotechnology · 2025Article
- Improved Surface Electromyogram-Based Hand-Wrist Force Estimation Using Deep Neural Networks and Cross-Joint Transfer Learning.Sensors (Basel, Switzerland) · 2024Article
- A multimodal framework based on deep belief network for human locomotion intent prediction.Biomedical engineering letters · 2024Article
- Recognition of Human Lower Limb Motion and Muscle Fatigue Status Using a Wearable FES-sEMG System.Sensors (Basel, Switzerland) · 2024Article
- Synergetic gait prediction and compliant control of SEA-driven knee exoskeleton for gait rehabilitation.Frontiers in bioengineering and biotechnology · 2024Article
- AI in Rehabilitation Medicine: Opportunities and Challenges.Annals of rehabilitation medicine · 2023Article
- Prediction of Gait Kinematics and Kinetics: A Systematic Review of EMG and EEG Signal Use and Their Contribution to Prediction Accuracy.Bioengineering (Basel, Switzerland) · 2023Review
- Continuous Motion Estimation of Knee Joint Based on a Parameter Self-Updating Mechanism Model.Bioengineering (Basel, Switzerland) · 2023Article
- Prediction of Joint Angles Based on Human Lower Limb Surface Electromyography.Sensors (Basel, Switzerland) · 2023Article
- Estimation of Knee Joint Angle from Surface EMG Using Multiple Kernels Relevance Vector Regression.Sensors (Basel, Switzerland) · 2023Article
- Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation.Micromachines · 2023Article
- Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients.Personal and ubiquitous computing · 2023Article
- CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise.IEEE journal of translational engineering in health and medicine · 2023Article
- A CNN-LSTM model for six human ankle movements classification on different loads.Frontiers in human neuroscience · 2023Article
- Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview.Biomedical engineering letters · 2022Review
- Multi-Day EMG-Based Knee Joint Torque Estimation Using Hybrid Neuromusculoskeletal Modelling and Convolutional Neural Networks.Frontiers in robotics and AI · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical assessment technology such as remote monitoring of rehabilitation progress for lower limb related ailments rely on the automatic evaluation of movement performed along with an estimation of joint angle information. In this paper, we introduce a transfer-learning based Long-term Recurrent Convolution Network (LRCN) named as '
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.