Autonomic Nervous System Adaptation to Supernumerary Robotic Finger Use: Coherence Analysis of RR Intervals Before and After Training [0.03%]
附加机器人手指在日常活动中使用对自主神经系统的适应性：训练前后RR间期的相干分析
Sona Al Younis,Mohammad I Awad,Rateb Katmah et al.
Sona Al Younis et al.
Supernumerary robotic fingers (SRFs) are wearable assistive devices, which are increasingly incorporated into robotic rehabilitation programs aimed at restoring upper-limb function and promoting task-specific compensation. Despite growing e...
Effects of a Powered Knee-Ankle Prosthesis on Intact Joint Biomechanics Across Sustained Activities of Daily Life: A Case Series [0.03%]
一种膝踝假肢对日常生活中完整关节生物力学的影响：病例系列研究
Emily G Keller,Curt A Laubscher,Robert D Gregg
Emily G Keller
Lower-limb prosthesis users often overuse their intact joints due to the lack of positive work generated by their devices. This overreliance has been shown to increase joint loading, degeneration, and pain. While powered prostheses can gene...
Predicting Attention Decline: An Integrated Beta-Band and SSVEP Approach for Visual Brain-Computer Interfaces [0.03%]
基于β频段和稳态视觉诱发电位的脑机接口注意水平预测方法研究
Siwen Wei,Haiqing Yu,Yongzhi Huang et al.
Siwen Wei et al.
Real-time monitoring of sustained attention fluctuations during continuous complex tasks is vital for enhancing task performance and preventing accidents. Attention modulates neurons in the visual cortex in various ways to improve the visua...
Musculoskeletal Simulation-Based Multi-criteria Optimization Framework for Exoskeleton Design [0.03%]
基于肌肉骨骼模拟的外骨骼设计多准则优化框架
Ali KhalilianMotamed Bonab,Volkan Patoglu
Ali KhalilianMotamed Bonab
Robotic exoskeletons can enhance human locomotion by reducing its metabolic cost. Designing effective wearable assistive devices requires a systematic approach that accounts for the influence of device kinematics/ dynamics and effects of as...
Hui Huang,Zhaoxuan Zhu,Yisu Ge et al.
Hui Huang et al.
Brain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions derived from functional magnetic resonance imaging (fMRI). Recently, artificial intelligenc...
Biphasic Electrostimulation Artifact Model for ECAP Extraction in Spinal Cord Stimulation [0.03%]
脊髓刺激中用于提取ECAP的双相电刺激伪迹模型
Haochen Zhang,Xuesong Luo,Bozhi Ma et al.
Haochen Zhang et al.
Evoked compound action potential (ECAP) is extensively used as biomarker for neural activity in closed-loop spinal cord stimulation (SCS). However, accurate monitoring of neural activity is challenged by the low signal-to-noise ratio of ECA...
EEG-Based Gait Phase Decoding from Combined Action Observation and Motor Imagery [0.03%]
结合动作观察和运动想象的基于EEG的步态分期解码
Aravind Ravi,Ning Jiang,James Tung
Aravind Ravi
Gait recovery is a crucial component of stroke rehabilitation. While Brain-Computer Interfaces (BCIs) decoding motor intent from motor imagery (MI) have shown success, their application in the area of gait phase decoding remains limited. Co...
FastICA-Comb: A Novel Algorithm for Extracting Voluntary Electromyography and M-Wave in Functional Electrical Stimulation Scenarios [0.03%]
一种新的FastICA算法在功能性电刺激场景中提取自主肌电信号和M波
Xingjian Li,Xiang Chen,Penghui Lin et al.
Xingjian Li et al.
Functional electrical stimulation (FES) is commonly used in clinical practice to induce muscle contractions for rehabilitation therapy. However, the collected electromyography (EMG) under FES is a mixed signal containing voluntary electromy...
Technology-Enhanced Dual-Task Testing for Alzheimer's Disease and Related Dementias: A Review of Trends, Tools, and Emerging Directions [0.03%]
增强型双任务测试在阿尔茨海默病及相关痴呆症中的应用：趋势、工具及新兴方向综述
Mahmoud Seifallahi,Sohini Lahiri,James E Galvin et al.
Mahmoud Seifallahi et al.
Alzheimer's disease and related dementias (ADRD) are growing global health challenges, projected to affect over 82 million people by 2030. Early diagnosis is essential, offering the potential to extend life expectancy by over 50% and reduce...
Effects of sequential dual-target TMS on the dynamic characteristics of brain networks as revealed by fNIRS [0.03%]
双目标经颅磁刺激对脑网络动态特征影响的fNIRS研究
Lingling Chen,Yanglong Wang,Congcong Huo et al.
Lingling Chen et al.
Transcranial magnetic stimulation (TMS) modulates cortical excitability to promote neuroplasticity, but single-target TMS has limited effects on multi-region synergy. Sequential dual-target TMS may enhance brain network reorganization throu...