Fast and Accurate Parameter Optimization of Transcranial Temporal Interference Stimulation by Selectively Employing Target-Specific Candidate Electrodes [0.03%]
通过选择性地使用特定目标候选电极快速而准确地优化经颅临时干扰刺激的参数
Sangwoo Lee,Eun-Gyoung Yi,Jaehoon Jeong et al.
Sangwoo Lee et al.
Transcranial temporal interference (TI) stimulation offers non-invasive modulation of deep brain regions with limited neocortical activation. Achieving focal TI stimulation requires individualized optimization of the stimulation parameters,...
Muscle Coordination during an Endurance Walking Task With Elbow Exosuit Assistance [0.03%]
助力肘部外骨骼助行装置下的耐力行走任务中的肌肉协调性研究
Vladimiro Suglia,Ali KhalilianMotamed Bonab,Daniele Leonardis et al.
Vladimiro Suglia et al.
Exosuits have the potential to support human performance during daily and rehabilitation activities. Understanding how neuromuscular coordination adapts in response to external assistance is essential to designing assistive devices and cont...
Interpretable Dual-Stream EEG-MRI Fusion Uncovers Structure-Function Signatures of Stroke Motor Recovery [0.03%]
可解释的双流EEG-MRI融合揭示卒中运动恢复的功能结构特征
Eric J Bacon,Ming Lei,Frank Kulwa et al.
Eric J Bacon et al.
Motor recovery prediction after stroke is hindered by the inability of single-modality imaging to capture how structural damage and functional reorganization interact. Existing multimodal approaches often treat electroencephalography (EEG) ...
Shenghui Wu,Jose Principe,Yiwen Wang
Shenghui Wu
Transregional neural prostheses represent an emerging frontier in neural rehabilitation, integrating advances in clinical translation, neuroscience, and engineering. Damage to communication pathways within the interconnected nervous system ...
Compressing Ultra-Dense Neural Recordings in Space and Time: A Three-Dimensional Modeling Approach [0.03%]
空间和时间三维建模方法压缩超高密度神经记录
Yiping Wang,Guangsen Fan,Shanshan Yu et al.
Yiping Wang et al.
Increasing the number of channels is essential for improving neural signal acquisition in wireless implantable brain-computer interfaces (iBCIs). However, more channels raise power consumption and data rates, placing additional demands on t...
Physics-Informed Neural Networks for Real-Time Muscle-Tendon Force Estimation from Wearable Sensors [0.03%]
基于物理的神经网络实时估计穿戴式传感器肌腱力
Halldor Karason,Pierluigi Ritrovato,Nicola Maffulli et al.
Halldor Karason et al.
Clinicians currently lack practical tools to quantify muscle-tendon forces outside of research laboratories, limiting load-management decisions during rehabilitation to symptom-based progression. This article presents a physics-informed neu...
Individual-Specific Functional Connectivity-Based State Classification and Prognosis Prediction for Disorders of Consciousness [0.03%]
基于个体特异性功能连接的意识障碍状态分类及预后预测方法研究
Zhijiang Wan,Guangxiang Chen,Haijun Li et al.
Zhijiang Wan et al.
Accurate prognosis and treatment targeting for disorders of consciousness (DOC) remain challenging due to profound neurobiological heterogeneity. Current approaches to DOC state classification and prognostic prediction, which rely on restin...
Intra-Foot Energy Recycling Enhances Gait Economy in a Low-Profile Passive Foot Exoskeleton [0.03%]
一种低轮廓被动式足外骨骼通过足内能量回收提高步态经济性
Yueling Lyu,Jianrui Wei,Panjun Tang et al.
Yueling Lyu et al.
The human foot possesses passive elastic mechanisms that recycle energy during gait, yet these mechanisms are largely neglected in walking assistance exoskeletons, which predominantly focus on the ankle joint leaving the foot's distal energ...
Robust Sleep Behavior Monitoring Under Motion Artefacts via Motion-Conditioned Learning [0.03%]
基于动作条件学习的鲁棒睡眠行为监测方法
Chenyu Tang,Xuemeng Li,Liang Qi et al.
Chenyu Tang et al.
Motion artefacts remain a major barrier to reliable wearable sleep behavior analysis in real-world environments. Although recent advances in flexible and textile-based sensing technologies have enabled unobtrusive monitoring of respiratory ...
Generalization-Enhanced Cross-Set Upper-Limb Multi-Joint Torque Prediction via a Dual-Stream Time-Frequency Attention Network [0.03%]
一种基于双流时频注意力网络的跨数据集上肢多关节力矩预测方法
Kai Yang,Keping Liu,Mingjie Dong et al.
Kai Yang et al.
Mapping surface electromyography (sEMG) to multi-joint torque is critical for active stroke rehabilitation. While compounded non-ideal factors between discontinuous exercise sets impose stringent demands on amplitude-phase robustness, syner...