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The assessment of gait impairments requires a normative reference for comparison. For a fair assessment, comparisons must be made against a reference standing after controlling for sex, anthropometry, and walk...
The restoration of standing and walking after spinal cord injury (SCI) remains a top priority for individuals with paraplegia. Despite significant advancements in neuromodulation techniques, challenges such as...
Electroencephalogram (EEG) microstates provide insights into large-scale brain network coordination, revealing distinct neural dynamics within specific frequency bands associated with cognitive processes and n...
This study utilized artificial intelligence (AI)–based machine learning algorithms, alongside the shapley additive explanations (SHAP) framework, to identify lower-limb muscle force patterns associated with re...
Falls are an important patient safety concern and stroke patient are at high risk. Artificial intelligence (AI) could be leveraged to reduce patient falls in the hospital but there is scarcity of data. Therefo...
To map the scope, nature, and extent of evidence on using Vagus Nerve Stimulation (VNS) for post-stroke arm motor recovery in preclinical and clinical settings, identifying key findings, safety profiles, and e...
Mirror visual feedback (MVF) has been widely applied in the recovery of upper limb motor dysfunction after stroke, but its application in the neurological rehabilitation of the lower limbs is relatively rare, ...
Previous studies have shown that stroke often impairs neuromuscular coordination (i.e., muscle synergies) across various biomechanical conditions. In our previous study, we investigated the generalizability of...
Daily manual tasks require cognitive-motor interactions. There is limited research on cognitive-motor dual-tasks involving the upper extremity. In this study we used a manual visuomotor dual-task to measure po...
Elderly patients often face challenges in recovering from distal radius fractures (DRFs), and inadequately guided rehabilitation may lead to delayed healing or secondary injury.
Post-stroke spasticity is a prevalent complication of upper motor neuron injury, hindering motor recovery, independence, and quality of life. Transcutaneous electrical nerve stimulation (TENS) has been propose...
At present, the analysis of abnormal gait in post-stroke patients predominantly relies on wearable devices. However, with the advancements in computer vision technology, the integration of deep learning algori...
Early mobilization has become a cornerstone of critical care due to its benefits in mitigating adverse effects associated with prolonged immobility. Individuals with critical neurosurgical conditions face uniq...
Children with Duchenne muscular dystrophy (DMD) present with progressive gait pathology due to progressive muscle weakness and contractures. However, the associations between specific muscle impairments and sp...
Recent research has sought to use data-driven models to estimate walking energy expenditure across multiple speeds via wearable devices. Many studies employ a discrete step protocol-repeatedly walking at a con...
People with lower-limb amputation lack sensory inputs from their missing limb, which increases their risk of falling. We recently demonstrated that spinal cord stimulation (SCS) can restore sensation in the mi...
Multiple sclerosis (MS) remains a complex and costly neurological condition characterised by progressive disability, making early detection and accurate prognosis of disease progression imperative. While artif...
Accurate estimation of lower limb kinetic characteristics is critical for evaluating gait impairments and guiding rehabilitation in patients with stroke. Traditional three-dimensional (3D) optical motion captu...
Chronic pain affects over 30% of the global population, yet non-pharmacological interventions with clear neurophysiological mechanisms remain limited. While virtual reality (VR) and music therapy independently...
Lower limb dysfunction following stroke poses important challenges to patients’ mobility and quality of life. Repetitive transcranial magnetic stimulation (rTMS) using double-cone coils for deep stimulation of...
A lack of evidence of compelling clinical benefits is a key factor limiting the adoption of commercialized powered robotic knee prostheses into mainstream clinical practice. Previous studies have demonstrated ...
The absence of sensitive tools for quantifying movement dysfunction hinders our ability to study the underlying causes of motor impairments and makes it difficult to demonstrate the effectiveness of therapeuti...
The loss of hand and wrist function significantly impairs an individual’s ability to perform everyday tasks, resulting in reduced independence and a lower quality of life. Neurological disorders, such as cereb...
Subjective cognitive decline (SCD) is a self-perceived cognitive complaint in the absence of objective impairment, representing an at-risk state along the continuum of cognitive aging. High-frequency repetitiv...
Effective ankle plantarflexion assistance (PF assistance) requires precise timing and personalized adjustment using an ankle joint robot that assists both dorsiflexion and plantarflexion during walking. Previo...
Repetitive transcranial magnetic stimulation (rTMS) has demonstrated efficacy in alleviating cognitive symptoms in Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Although animal studies suggest ...
Following spinal cord injury (SCI), powered exoskeletons have been shown to enable assisted walking and may also positively impact secondary health conditions. The TWIICE exoskeleton is intended to enable indi...
Although transcranial magnetic stimulation (TMS) is the optimal tool for identifying individual motor hotspots–specific regions of the brain that are essential for controlling voluntary muscle movements–it inv...
The original article was published in Journal of NeuroEngineering and Rehabilitation 2025 22:98
Innovative technology allows for personalization of stimulation frequency in dual-site deep brain stimulation (DBS), offering promise for challenging symptoms in advanced Parkinson’s disease (PD), particularly...
The original article was published in Journal of NeuroEngineering and Rehabilitation 2025 22:152
The original article was published in Journal of NeuroEngineering and Rehabilitation 2025 22:69
Many individuals with hemiparesis after stroke are reluctant to transfer their body weight toward the affected side and rely more heavily on the unaffected leg while walking. Although visual feedback (VF) has ...
Brain-computer interface (BCI) has been shown to be beneficial in improving lower limb motility in stroke, but their effectiveness on balance and attention is unclear. In addition, current BCIs are mostly in s...
Multiple Sclerosis (MS) is a neurodegenerative disorder causing lower and upper-limb (UL) impairments and significantly affecting independence. Current assistive technologies for UL rehabilitation in People wi...
Brain–computer interface (BCI) technology based on motor imagery (MI) or motor attempt (MA) has shown promise in enhancing motor function recovery in stroke patients. This study aimed to evaluate the effective...
Post-stroke spasticity (PSS) in the ankle plantar flexors leads to abnormal gait, increased energy expenditure, and a higher risk of falls. Ultrasonographic measures, such as muscle fascicle length (MFL) and p...
Stroke is a leading cause of adult disability in the world. Upper limb impairments are common post-stroke, with nearly half of those initially affected continuing to live with long-term functional limitations,...
This study aimed to investigate the effects of four-week individualized transcranial direct current stimulation (tDCS) combined with foot core exercise (FCE) on foot and ankle sensorimotor function and postura...
Recent studies have demonstrated that speech can be decoded from brain activity which in turn can be used for brain-computer interface (BCI)-based communication. It is however also known that the area often us...
Robotic systems are increasingly utilized in rehabilitation contexts, offering tailored support for physical and cognitive functions. Enabling these systems to autonomously personalize treatments entails a cri...
Setting treatment goals is the core of the pediatric rehabilitation process. The participation of the children and their families is foundational to this approach. Goal setting would benefit from being standar...
C5 palsy is a debilitating complication that may occur after posterior cervical decompression or fusion surgery, characterized by acute deltoid and biceps weakness. While most cases resolve spontaneously, prol...
Upper limb impairments affect children with neuromotor disorders, limiting daily activities and participation. Videogames (ex: virtual reality, computer-based games) have emerged as promising tools for upper l...
Executive dysfunction is commonly impaired in individuals with mild cognitive impairment (MCI). Traditional tools like the Stroop test are widely used to evaluate this domain but lack ecological validity. Virt...
Lower limb muscle bionic devices have attracted significant attention in rehabilitation and assistive sports technology. Despite advancements in mimicking human movement, current devices still face challenges ...
The original article was published in Journal of NeuroEngineering and Rehabilitation 2025 22:135
Stroke is a leading cause of long-term disability, significantly impacting patients’ mobility and quality of life. Robot-assisted gait therapy (RAGT) and high-intensity interval training (HIIT) have individual...
Some individuals using brain-computer interfaces (BCIs) exhibit ineffective control during motor imagery-based BCI (MI-BCI) training. MI-BCI performance correlates with the activation in the frontoparietal att...
The brain-computer interface-based soft robotic glove (BCI-SRG) holds promise for upper limb rehabilitation in subacute stroke patients, yet its efficacy and neural mechanisms are unclear. This study aimed to ...
Citation Impact
Journal Impact Factor: 5.2 (2024)
5-year Journal Impact Factor: 6.0 (2024)
Source Normalized Impact per Paper (SNIP): 2.123 (2024)
SCImago Journal Rank (SJR): 1.287 (2024)
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