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Journal of Biomedical Engineering

Supervisor:Sichuan Association for Science and Technology Sponsor:West China Hospital, Sichuan University; Sichuan Society of Biomedical Engineering
Editor-in-chief:LI Hong
Publishing period: Bimonthly ISSN:1001-5515 CN:51-1258/R

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  • Evaluation methods for the rehabilitation efficacy of bidirectional closed-loop motor imagery brain-computer interface active rehabilitation training systems

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  • Brain-computer interface technology and its applications for patients with disorders of consciousness

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  • Detection of motor intention in patients with consciousness disorder based on electroencephalogram and functional near infrared spectroscopy combined with motor brain-computer interface paradigm

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  • A portable steady-state visual evoked potential brain-computer interface system for smart healthcare

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  • Performance evaluation of a wearable steady-state visual evoked potential based brain-computer interface in real-life scenario

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  • Study on speech imagery electroencephalography decoding of Chinese words based on the CAM-Net model

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  • Research progress on brain mechanism of brain-computer interface technology in the upper limb motor function rehabilitation in stroke patients

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  • A study on electroencephalogram characteristics of depression in patients with aphasia based on resting state and emotional Stroop task

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  • Analysis of the global competitive landscape in artificial intelligence medical device research

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  • The analysis of invention patents in the field of artificial intelligent medical devices

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  • Analysis of the global registration status of clinical trials for artificial intelligence medical device

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  • Research on interdisciplinary issues of artificial intelligence medical devices

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  • Research on bimodal emotion recognition algorithm based on multi-branch bidirectional multi-scale time perception

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  • Effect of music therapy on brain function of autistic children based on power spectrum and sample entropy

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  • Fatigue driving detection based on prefrontal electroencephalogram asymptotic hierarchical fusion network

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  • Application of multi-scale spatiotemporal networks in physiological signal and facial action unit measurement

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  • Image-aware generative medical visual question answering based on image caption prompts

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  • Thyroid nodule segmentation method integrating receiving weighted key-value architecture and spherical geometric features

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  • Cross modal translation of magnetic resonance imaging and computed tomography images based on diffusion generative adversarial networks

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  • Modeling and finite element analysis of human trabecular meshwork outflow pathways

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  • Automatic measurement of acetabular cup anteversion angle using an accurate recognition technology based on improved Otsu algorithm and feature point

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  • Biomechanical study of lumbar vertebra during gait cycle in adolescent idiopathic scoliosis

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  • Development of a balloon sensor device for force-electrical coupling measurement of esophagus

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  • Research on the relationship between resting-state spontaneous electroencephalography and task-evoked electroencephalography

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  • The research progress on the improvement effect of repeated peripheral magnetic stimulation on upper limb and lower limb spasm after stroke

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  • Advances in low-dose cone-beam computed tomography image reconstruction methods based on deep learning

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  • Research progress in central aortic pressure estimation algorithms

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More...
  1. Prediction of recurrence-free survival in lung adenocarcinoma based on self-supervised pre-training and multi-task learning
  2. Design and experiment of online monitoring system for long-term culture of embryo
  3. A survey of loss function of medical image segmentation algorithms
  4. Research progress and challenges of deep learning in medical image registration
  5. Research on brain image segmentation based on deep learning
  6. Convolutional neural network based on temporal-spatial feature learning for motor imagery electroencephalogram signal decoding
  7. A review of deep learning methods for the detection and classification of pulmonary nodules
  8. Deep residual convolutional neural network for recognition of electrocardiogram signal arrhythmias
  9. Research progress of computer-aided diagnosis in cancer based on deep learning and medical imaging
  10. Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning
  1. An analysis of global research on SARS-CoV-2
  2. Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning
  3. Research progress of computer-aided diagnosis in cancer based on deep learning and medical imaging
  4. A survey of loss function of medical image segmentation algorithms
  5. Design and experiment of online monitoring system for long-term culture of embryo
  6. Research Progress of Implantable Biosensors for Continuous Glucose Monitoring
  7. Quantitative assessment of motor function in patients with Parkinson's disease using wearable sensors
  8. Research progress and challenges of deep learning in medical image registration
  9. Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning
  10. Deep residual convolutional neural network for recognition of electrocardiogram signal arrhythmias

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