Stroke significantly affects thousands of individuals annually, leading to considerable physical impairment and functional disability. Gait is one the most important activities daily living affected in stroke survivors. Recent technological developments powered robotics exoskeletons can create powerful adjunctive tools for rehabilitation potentially accelerate recovery. Here, we present development evaluation a novel lower limb robotic exoskeleton, namely H2 (Technaid S.L., Spain), gait has...

Objective. Powered exoskeletons promise to increase the quality of life people with lower-body paralysis or weakened legs by assisting restoring legged mobility while providing health benefits across multiple physiological systems. Here, a systematic review literature on powered addressed critical questions: What is current evidence clinical efficacy for lower-limb exoskeletons? are and risks individuals spinal cord injury (SCI)? levels considered in such studies? their outcome measures?...

Abstract Objective. Powered exoskeletons have been used to help persons with gait impairment regain some walking ability. However, little is known about its impact on neuromuscular coordination in stroke. The objective of this study investigate how a powered exoskeleton could affect the post-stroke hemiparesis. Approach. Eleven able-bodied subjects and ten stroke participated single-visit treadmill assessment, which their motion lower-limb muscle activities were captured. By comparing...

This study investigated electrocortical dynamics of human walking across different unconstrained conditions (i.e., level ground (LW), ramp ascent (RA), and stair (SA)). Non-invasive active-electrode scalp electroencephalography (EEG) signals were recorded a systematic EEG processing method was implemented to reduce artifacts. Source localization combined with independent component analysis k-means clustering revealed the involvement four clusters in brain during tasks: Left Right Occipital...

Objective Advancements in robot-assisted gait rehabilitation and brain-machine interfaces may enhance stroke physiotherapy by engaging patients while providing information about robot-induced cortical adaptations. We investigate the feasibility of decoding walking from brain activity survivors during therapy using a powered exoskeleton integrated with an electroencephalography-based interface. Design The H2 was designed for overground training actuated hip, knee, ankle joints. It...

Gait deficit after multiple sclerosis (MS) can be characterized by altered muscle activation patterns. There is preliminary evidence of improved walking with a lower limb exoskeleton in persons MS. However, the effects exoskeleton-assisted on neuromuscular modifications are relatively unclear. The objective this study was to investigate synergies, their patterns and differences neural strategies during (EXO) without (No-EXO) an exoskeleton.Ten subjects MS performed EXO No-EXO conditions....

Abstract Human locomotion is a complex process that requires the integration of central and peripheral nervous signalling. Understanding brain’s involvement in challenging traditionally investigated during locomotor imagination or observation. However, stationary imaging methods lack ability to infer information about signalling actual task execution. In this report, we present dataset containing simultaneously recorded electroencephalography (EEG), lower-limb electromyography (EMG), full...

Automated walking intention detection remains a challenge in lower-limb neuroprosthetic systems. Here, we assess the feasibility of extracting motor intent from scalp electroencephalography (EEG). First, evaluated corticomuscular coherence between central EEG electrodes (C1, Cz, C2) and muscles shank thigh during on level ground stairs. Second, trained decoders to predict linear envelope surface electromyogram (EMG). We observed significant EEG-led coupling sEMG (tibialis anterior) high...

Recent designs of neural-machine interfaces (NMIs) incorporating electroencephalography (EEG) or electromyography (EMG) have been used in lower limb assistive devices. While the results previous studies shown promise, a NMI which takes advantage early movement-related EEG activity preceding movement onset, as well improved signal-to-noise ratio EMG, could prove to be more accurate and responsive than current based solely on EMG. Previous demonstrated that sensorimotor cortex is coupled...

Steady-State Visual Evoked Potentials (SSVEPs) are widely used in spatial selective attention. In this process the two kinds of visual simulators, Light Emitting Diode (LED) and Liquid Crystal Display (LCD), commonly to evoke SSVEP. paper, differences SSVEP caused by these stimulators study attention were investigated. Results indicated that LED could stimulate strong component on occipital lobe, frequency evoked had high precision wide range as compared LCD. Moreover a significant...

AbstractContext: To investigate the feasibility of combining lower-limb exoskeleton and body weight unweighing technology for assisted walking in tetraplegia following spinal cord injury (SCI).Findings: A 66-year-old participant with a complete SCI at C7 level, graded on American Spinal Injury Association Impairment Scale (AIS) as AIS A, participated nine sessions overground assistance from system. The could tolerate intensity ambulate short distance acceptable appropriate gait kinematics...

This study investigates if the electrocortical amplitude modulations relative to mean gait cycle are different across walking conditions (i.e., level-ground (LW), ramp ascent (RA), and stair (SA)). Non-invasive electroencephalography (EEG) signals were recorded a systematic EEG processing method was implemented reduce artifacts. Source localization using independent component analysis k-means clustering revealed involvement of four clusters in brain (Left Right Occipital Lobe, Posterior...

This study investigates the neural features of locomotion mode transitions (i.e., level-ground walking to stair ascent) from non-invasive electroencephalography (EEG) signals. A systematic EEG processing method was implemented reduce artifacts. Source localization using independent component analysis and k-mean clustering algorithm revealed involvement four clusters in brain (Left Right Occipital Lobe, Posterior Parietal Cortex, Motor Cortex) during tasks. Our results show significant...

Independence afforded by functional mobility is invaluable yet inaccessible for those with spinal cord injury (SCI). Regaining skills like sit-to-stand (STS) promotes independence and recovery. Previously, electrical stimulation (FES) of leg muscles exoskeletons have assisted STS, but limitations exist. FES causes fatigue spasms while cannot activate directly nor suit poor trunk control. Thus, hybrid are promising rarely target muscles. This study examined erector spinae STS assistance a...

Spatial selective attention pattern recognition plays a significant role in specific people's (e.g.: pilot's) state monitoring. Steady-State Visual Evoked Potentials (SSVEP) were recorded from the scalp of 6 subjects who cued to attend flickering sequence displayed one visual field while ignoring similar with different rate opposite field. The SSVEP either stimulus was enhanced when lead same direction rather than direction. most enlargement is generally located on posterior contralateral...

The EEG recorded in fMRI scanner are totally submerged gradient, ballistocardiogram and ocular artifacts. Traditional ways to reduce these artifacts have many limitations. AAS has a high requirement on recording calculating ICA denoising can be hardly done objectively without extra references. In this paper, we try simplify improve the lower its requirements calculating. PCA dimension reduction is also introduced overcome problem of denoising. A various removal method developed based...

Objective·. Recent advances in robot-assisted gait rehabilitation and brain-machine interfaces (BMI) promise to increase the quality of life people with deficits bipedal locomotion such as stroke survivors. Moreover, BMI systems may enhance neurorehabilitation by engaging user while providing valuable information about cortical adaptations neural plasticity resulting from robot use. However, feasibility decoding walking brain activity survivors during therapy is unknown. To address this gap,...

This dataset contains full brain/body imaging data from ten able-bodied subjects during locomotion on an experimental course containing stairs, ramps, and level ground. We recorded 60-channel EEG the scalp 4-channel EOG face temples. Surface EMG was six muscle cites bilaterally thigh shank. The motion capture system consisted of seventeen wireless IMUs, allowing for unconstrained ambulation in space. research partly supported by NSF award IIS-1302339 NIH F99 Predoctoral Fellowship (NS105210)...