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Ieee Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society

The IEEE Transactions on Neural Systems and Rehabilitation Engineering is a prestigious journal published by the IEEE Engineering in Medicine and Biology Society. It focuses on the latest advancements in the field of neural systems and rehabilitation engineering, covering topics such as neural prostheses, brain-computer interfaces, neurorehabilitation, and assistive technologies. The journal serves as a platform for researchers, engineers, and clinicians to share their innovative research and contribute to the development of cutting-edge technologies for improving the quality of life for indiv

Details
Abbr. IEEE Trans Neural Syst Rehabil Eng
Publisher IEEE
Start 2001
End Continuing
Frequency Six no. a year, 2008-
p-ISSN 1534-4320
e-ISSN 1558-0210
Country United States
Language English
Metrics
h-index / Ranks: 1178 164
SJR / Ranks: 2424 1315
CiteScore / Ranks: 1874 8.80
JIF / Ranks: 1632 4.9
Recent Articles
1.
Chen J, Yang H, Xia Y, Gong T, Thomas A, Liu J, et al.
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40085468
Accurately assessing mental states-such as mental workload and fatigue- is crucial for ensuring the reliability and effectiveness of brain-computer interface (BCI)-based applications. Relying on signals from a limited brain region...
2.
Chen M, Zhou P
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40085467
High-density surface electromyography (EMG) decomposition provides a valuable non-invasive approach to accessing key motor unit information for a range of applications. This communication summarizes significant advances in high-density surface EMG...
3.
Ji D, Huang Y, Chen Z, Zhou X, Wang J, Xiao X, et al.
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40072857
Spatial division multiple access (SDMA) is a way of encoding BCI systems based on spatial distribution of brain signal characteristics. However, SDMA-BCI based on EEG had poor system performance limited...
4.
Yu R, Peng C, Zhu J, Chen M, Zhang R
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40063426
Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, have been widely used for computer-aided diagnosis of Alzheimer's disease (AD). Given the...
5.
Raz D, Joshi V, Umberger B, Ozay N
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40063425
Humans rely on ankle torque to maintain standing balance, particularly in the presence of small to moderate perturbations. Reductions in maximum torque (MT) production and maximum rate of torque development...
6.
Kopke J, Ellis M, Hargrove L
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40053619
The objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical position to improve...
7.
Ding L, Zhang K, Wang X, Tong S, Guo X, Jia J
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40053618
Mirror therapy (MT) is an effective approach in stroke recovery, but its impact on subcortical neural reorganization remains unclear. Thus, we aimed to investigate the neuroplastic effects on white matter...
8.
Moon K, Park Y, Park Y, Kim M, Jeong C
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; PP. PMID: 40048329
The visual sensory organ (VSO) serves as the primary channel for transmitting external information to the brain; therefore, damage to the VSO can severely limit daily activities. Visual-to-Auditory Sensory Substitution...
9.
Braaksma J, Groot S, Houdijk H, Vegter R
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; 33:1071-1078. PMID: 40048328
This study assessed the effect of increasing assistance levels of a Pushrim-Activated Power-assisted Wheelchair (PAPAW) on the physiological and biomechanical demands in non-disabled participants propelling a manual wheelchair on an...
10.
Ravi A, Wolfe P, Tung J, Jiang N
IEEE Trans Neural Syst Rehabil Eng . 2025 Mar; 33:1004-1013. PMID: 40036537
Motor imagery (MI)-based Brain-Computer Interfaces (BCIs) have shown promise in engaging the motor cortex for recovery. However, individual responses to MI-based BCIs are highly variable and relatively weak. Conversely, combined...