GaitNet: Transfer Learning-Enhanced CNN-GRU Architecture for Intention Detection in Healthy and Post-Stroke Participants [0.03%]
基于迁移学习的健康人和卒中患者意图识别CNN-GRU模型
S Hossein Sadat Hosseini,Rudri Purohit,Shuaijie Wang et al.
S Hossein Sadat Hosseini et al.
Highly accurate, data-efficient, and real-time detection of human motion intention is essential for the effective control of assistive and rehabilitation robots in post-stroke recovery. However, existing approaches focused on healthy partic...
Toward Sensor Fusion Neuromuscular Interface for Continuous Finger Joint Angle Estimation via Deep Transfer Learning [0.03%]
基于深度迁移学习的连续指关节角度估计传感器融合神经肌肉接口研究
Yun Chen,Xinyu Zhang,Hongsheng He et al.
Yun Chen et al.
Accurate decoding of motor intent from biosignals is an important step toward intuitive upper-limb prosthetic-control interfaces. We propose a novel high-dimensional multimodal deep learning framework that fuses surface electromyography (sE...
Feasibility of a Center of Mass Based Fuzzy-Logic Phase Detection Algorithm for Post-Spinal Cord Injury Gait [0.03%]
基于质心的模糊逻辑相检测算法在脊髓损伤后步行中的可行性研究
Gabrielle C Labrozzi,Musa L Audu,Nathaniel S Makowski et al.
Gabrielle C Labrozzi et al.
Current approaches for restoring walking post spinal cord injury (SCI) use feedforward systems to apply neuromuscular stimulation to lower extremities to realize stepping. However, abnormal gait patterns still persist. During neurotypical w...
Ultrasound-Derived Stretch Reflex Threshold Estimation Using Tendon-to-Bone Distance During Tendon Tapping in Post-Stroke Spasticity [0.03%]
超声导伸肌反射阈值估算在卒中后的肌张力障碍期间用肌腱到骨的距离进行 tendon tapping
Seongyeon Yang,Matthieu K Chardon,Vaheh Nazari et al.
Seongyeon Yang et al.
Spasticity assessment after stroke requires objective measures of stretch reflex excitability, yet clinically practical and structurally interpretable approaches for identifying stretch reflex thresholds (SRTs) remain limited. We present an...
Cross-view Multimodal Vision-Based Assessment Framework for Traditional Chinese Medicine Rehabilitation Training [0.03%]
基于跨视角多模态视觉的中医康复训练评估框架
Francis Xiatian Zhang,Hao Yao,Shengxuan Chen et al.
Francis Xiatian Zhang et al.
Vision-based assessment can provide convenient and cost-effective evaluation in Traditional Chinese Medicine (TCM) rehabilitation training, where action quality assessment (AQA) from computer vision offers a promising solution. Existing aut...
Multichannel Optimization Strategy for Functional Electrical Stimulation in Grasp Gesture Restoration: A Pilot Study [0.03%]
用于恢复抓握手势的经皮功能性电刺激多通道优化策略：一项初步研究
Kong Hoi Cheng,Jinxin Sun,Yuquan Leng et al.
Kong Hoi Cheng et al.
Grasping difficulties profoundly diminish the quality of life in individuals affected by stroke or spinal cord injury. Multi-channel functional electrical stimulation (FES) enables precise, targeted muscle activation through selectively act...
A Minimalist, Foot-Mounted IMU Approach to Parkinson's Disease Detection in Semi-Controlled Settings [0.03%]
一种检测帕金森病的最小化 foot-Mounted imu 方法（在半受控环境中）
Alberto Gascon,Alvaro Marco,Pablo Herrero et al.
Alberto Gascon et al.
Scalable tools for Parkinson's disease (PD) detection are needed beyond laboratory-bound assessments. We present and evaluate a deliberately minimalist approach: a single six-axis IMU per shoe coupled with a lightweight 1D-CNN, tested durin...
Noise-Driven Feature Enhancement of High-Frequency SSVEP through Underdamped Second-order Stochastic Resonance Energy Transfer [0.03%]
欠阻尼二阶随机共振能量传递的高频SSVEP特征增强及噪声驱动机制研究
Churui Fang,Guanghua Xu,Ruiquan Chen et al.
Churui Fang et al.
Brain-computer interfaces (BCIs) system leveraging high-frequency steady-state visual evoked potentials (SSVEP) enhance user comfort, but their signals suffer from significant amplitude attenuation, which challenges precise detection. To ad...
Self-Initialized Locomotion Mode Prediction with GPU-Free Terrain Reconstruction [0.03%]
基于无GPU地形重建的自主初始化运动模式预测方法
Shunyi Zhao,Zehuan Yu,Zhihao Zhou et al.
Shunyi Zhao et al.
Lower-limb wearable robots require accurate Locomotion Mode Prediction (LMP) to provide appropriate assistance across diverse terrains. Recent reconstructionbased LMP methods fuse high-dimensional multimodal sensor data to model the relatio...
Auditory Perception as a Surrogate for Auditory Imagery in EEG-Based BCI Training: Neural Evidence and a Feasibility Study [0.03%]
基于EEG的BCI训练中听觉感知作为听觉意象代理物的神经证据及可行性研究
Zhuohao Zhang,Haruto Hamada,Phurin Rangpong et al.
Zhuohao Zhang et al.
Brain-computer interface (BCI) systems are commonly classified as reactive or active. Reactive BCIs rely on responses to external stimuli, simplifying decoding but limiting direct user control. In contrast, active BCIs enable intuitive cont...