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We studied the effects of an anti-gravity treadmill (AlterG) training on walking capacity and corticospinal tract structure in children with Cerebral Palsy (CP). AlterG can help CP children walk on the treadmill by reducing their weights up to 80% and maintain their balance during locomotion. AlterG training thus has the potential to improve walking capacity permanently as it can provide systematic...
We evaluated the therapeutic effects of anti-gravity locomotor treadmill (AlterG) training on postural stability in children with Cerebral Palsy (CP) and spasticity, particularly in the lower extremity. AlterG can facilitate walking by reducing the weight of CP children by up to 80%; it can also help subjects maintain an appropriate posture during the locomotor AlterG training. Thus, we hypothesized...
We aimed to investigate the effects of the lower body weight support treadmill (AlterG) training on kinetics and kinematics of the lower extremities in children with cerebral palsy (CP). We provided a 45-minute training program, 3 times a week for 8 weeks. AlterG can support the subject's weight up to 70% so that the subject will be able to walk more comfortably to reach a more correct walking pattern...
Training of laparoscopic surgery in Virtual Reality (VR) environment has been proved as an effective step before clinical practice. Tracking the position of instruments in realtime is an essential part of developing a VR trainer. In this study, we used Microsoft Kinect and color markers instead of using similar traditional means such as mechanical sensors. The orientation and position of instruments...
Individuals with cerebral palsy (CP) usually suffer from different impairments including gait impairment and spasticity. Spastic hypertonia is a defining feature of spasticity and manifests as a mechanical abnormality. The objective of this study was to determine the relationship between spastic hypertonia and gait impairments in spastic children with CP, addressing an important controversial issue...
We studied the correlation between corticospinal signaling and neuromuscular properties in children with Cerebral Palsy (CP). Corticospinal signaling was evaluated using Transcranial Magnetic Stimulation (TMS). Neuromuscular properties were quantified using Hoffmann reflex (H-reflex), sonoelastography, clinical measurements, and isokinetic measures. In particular, we determined the relationship between...
We aimed to study the relationship between neuromuscular abnormalities associated with spasticity and gait impairments in spastic children with hemiplegia cerebral palsy (CP). Neuromuscular abnormalities of the tibialis anterior and medial gastrocnemius muscles of the spastic ankle were quantified using sonoelastography with two major features; i.e. entropy and histogram ratio of sonoelastography...
Alteration in spinal inputs from descending pathways following spinal cord injury (SCI) affects different mechanisms including reciprocal Ia inhibition. However, whether there is a consistent pattern of change in reciprocal inhibition following SCI is uncertain. Typical attempts to evaluate reciprocal inhibition have been restricted to electrophysiological measurements, which may have limited translation...
Previous attempts to investigate the effects of antispastic medications are limited to clinical studies using that use clinical evaluations to assess. Since these measures are neither objective nor quantitative, the therapeutic effects of such medications on neuromuscular properties have not been fully evaluated. In this study, as a first attempt, we examined the effect of tizanidine, an anti-spastic...
Our objectives were to explore the effects of robotic-orthosis (LOKOMAT) training on walking impairment recovery in subjects with incomplete spinal cord injury (SCI), and to develop robust predictors of these recovery patterns. Twelve SCI subjects with different degrees of ankle spasticity participated in a 12-session LOKOMAT training regimen. One-hour gait training sessions were provided three times...
We studied the effects of Robotic-Assisted Locomotor (LOKOMAT) Training on neuromuscular properties and muscle strength of the spastic ankle in persons with incomplete Spinal Cord Injury (SCI). LOKOMAT training was performed 3 days/week during a 1-hr period including set-up time. The training was provided for 4 weeks and subjects were evaluated before and after 1, 2, and 4 weeks of training. A system...
To explore the effect of LOKOMAT and LOKOMAT+Tizanidine on the improvement of walking capacity for people with spinal cord injury (SCI), 20 SCI subjects with hypertonia spasticity at their ankle joints participated in a 12-session Lokomat training; among them, 10 subjects received Tizanidine. 1-hour LOKOMAT training was provided 3 times per week for 4-weeks. Subjects were evaluated 4 times for Timed-Up-and-Go,...
We studied the effects of Robotic-Assisted Locomotor (LOKOMAT) Training on spasticity and volitional control of the spastic ankle in persons with incomplete Spinal Cord Injury (SCI). LOKOMAT training was performed 3 days/week during a 1-hr period including set-up time with up to 30 minutes of training during a single session. The training was provided for 4 weeks and subjects were evaluated before...
The objective of this study was to characterize the time-course of changes in motor impairment after stroke, and to use the kinematic and kinetic measures of elbow voluntary movement at 1 month to predict the ensuing recovery patterns over 1 year. The arm motor impairment was assessed using the Fugl-Meyer Assessment (FMA) of the upper extremity at 1, 2, 3, 6, and 12 months after stroke. Several kinematic...
We quantified the mechanical abnormalities of the spastic wrist in chronic stroke survivors, and determined whether these findings were representative of those recorded at the elbow and ankle joints. System identification techniques were used to characterize the mechanical abnormalities of these joints and to identify the contribution of intrinsic and reflex stiffness to these abnormalities. Modulation...
A neural network approach is presented to classify EEG signal for the propose of differential diagnosis between epilepsy and normal EEG states containing artifacts. The final set of features to be used as the input of the neural network is selected on the basis of the network intermediate performances. Computer simulations on both supervised and non-supervised networks show the fact that the features...
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