EffortNet: A Deep Learning Framework for Objective Assessment of Speech Enhancement Technologies Using EEG-Based Alpha Oscillations [0.03%]
基于EEG的α振荡的客观评估深度学习框架 EffortNet用于评估增强技术
Ching-Chih Sung,Cheng-Hung Hsin,Yu-Anne Shiah et al.
Ching-Chih Sung et al.
This paper presents EffortNet, a novel deep learning framework for decoding listening effort at the individual level from electroencephalography (EEG) during speech comprehension. Quantifying listening effort remains a significant challenge...
A Novel Sliding Mode Differentiator-Based Feature for EMG-Based Hand Gesture Characterization [0.03%]
一种基于肌电的手势滑模微分器特征的新方法
Frank Kulwa,Tolulope T Oyemakinde,Pengrui Tai et al.
Frank Kulwa et al.
Motor intent (MI)-based muscle computer interfaces (MCIs) have been widely explored for prosthetic control as a means of restoring functionality to the lost limb in amputees. However, persistent issues remain, such as insufficient robustnes...
Upper and Lower-Limb Motor Decoding for Adaptive and Generalized Neural Rehabilitation [0.03%]
自适应泛化神经康复的上下肢运动意图解码
Hunmin Lee,Daehee Seo
Hunmin Lee
Decoding motor intentions from electromyographic (EMG) signals holds transformative potential for neurorehabilitation and assistive technologies, yet existing approaches remain fundamentally constrained by limbspecific architectures, poor g...
Mobility Function and Aperiodic Electrocortical Activity in Younger and Older Adults [0.03%]
年轻和老年受试者的大脑运动功能区与非周期性脑电活动的关系研究
Charlotte R DeVol,Chang Liu,Jacob Salminen et al.
Charlotte R DeVol et al.
Mobility declines with age to the extent that walking speed is often considered a vital sign. Identifying electrocortical changes behind this decline would aid with early identification and intervention. Electroencephalography (EEG) metrics...
EEG Correlates of Upper Limb Function During the Box and Block Test After Stroke [0.03%]
卒中后改良版盒子与积木测试过程中上肢功能的脑电特征研究
Giulia Savina,Floriana Pichiorri,Emma Colamarino et al.
Giulia Savina et al.
Stroke frequently results in upper limb motor impairment, making accurate and objective motor assessment essential for guiding rehabilitation. Traditional clinical tools such as the Box and Block Test (BBT) provide global performance scores...
Attenuated Task-Related Changes of Heart-Brain Coupling During Cognitive Load in Post-Stroke Cognitive Impairment: An EEG-ECG Maximal Information Coefficient Study [0.03%]
缺血性卒中后认知障碍患者心脑耦合功能改变：最大信息系数研究
Hanrui Dong,Wei Liu,Han Xia et al.
Hanrui Dong et al.
Evidence linking cardiovascular health to cognitive function suggests that interactions within the central autonomic network (CAN) may contribute to the development and progression of post-stroke cognitive impairment (PSCI). Heart-brain cou...
Robotic exoskeleton-guided wrist motion assessment in young and older adults [0.03%]
年轻和老年成人机械外骨骼引导腕部运动评估
Manuela Gomez-Correa,Hellen Rivero-Pineda,Estefania Suarez-Perez et al.
Manuela Gomez-Correa et al.
This paper describes motion assessment in young adults (YA) and older adults (OA) during the use of an upper limb rehabilitation robot (ULRR). An experimental protocol was proposed to collect kinematic and surface electromyographic (sEMG) d...
User-Centered Design of a Dexterous Hand Prosthesis: Hierarchical Sensorimotor Controller based on the Three-axis Tactile Feedback and EMG Decoder [0.03%]
基于三轴触觉反馈和肌电解码的灵巧假手的用户中心设计：分层感觉运动控制器
Chenglong Guo,Zhenhua Gong,Li Jiang et al.
Chenglong Guo et al.
Humans can skillfully grasp a wide variety of things without crushing or dropping them, thanks to their tactile sensory abilities and sensorimotor reflexes. Moreover, humans are not only proficient at reaching and grasping objects but also ...
Fine-grained upper limb force control relies on distributed functional connectivity during motor planning: a scalp EEG study [0.03%]
基于头皮EEG的精细上肢力控制依赖于运动计划过程中的功能连接分布状态研究
Chunli Chen,Jiaxin Zhao,Xiabing Zhang et al.
Chunli Chen et al.
Motor behavior consists of two distinct stages, i.e., planning and execution. However, the underlying brain network patterns that distinguish these two stages remain insufficiently understood. Moreover, the modulation of these network dynam...
EEG-based Pain Classification via Sample Selection to Mitigate Subjective Label Bias [0.03%]
基于样本选择的主观标签偏差缓解的疼痛分类算法
Euijin Jung,Sung Chan Jun,Jinung An
Euijin Jung
Quantifying pain intensity is essential for enabling personalized pain management. Recently, electroen-cephalography (EEG)-based approaches have been investigated to estimate pain levels, particularly for patients who are unable to communic...