The previous study showed variable individual responses to the rehabilitation session in stroke patients. The cervical spondylotic myelopathy patients exhibited an exaggerated vagal response.
The aim of the study was to evaluate the heart rate variability and physiological cost index during the overground, treadmill, elliptical and exoskeleton robot gait training. All subject walking on the four gait training condition for 10 minutes, respectively.
The results showed that exoskeleton robot was similar to the other gait training condition in autonomic response. The overground, treadmill, elliptical are limited because a number of therapists are required to manually facilitate the step training. Three or more therapists have to place the paretic limb during the swing phase and to shift the patient’s weight onto the stance limb. The exoskeleton robot reduce therapists’ labor burden on the Clinical.

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Decoding human motor tasks from single trial electroencephalography (EEG) signals can help scientists better understand cortical neurophysiology and may lead to brain computer interfaces (BCI) for motor augmentation. Spatial characteristics of EEG have been used to distinguish left from right hand motor imagery and motor action. We used independent component analysis (ICA) of EEG to distinguish right knee action from right ankle action. We recorded 264-channel EEG while 5 subjects performed a variety of knee and ankle exercises. An adaptive mixture independent component analysis (ICA) algorithm generated two distinct mixture models from a merged set of EEG signals (including both knee and ankle actions) without prior knowledge of the underlying exercise. The ICA mixture models parsed EEG signals into maximally independent component (IC) processes representing electrocortical sources, muscle sources, and artifacts. We calculated a spatially fixed equivalent current dipole for each IC using an inverse modeling approach. The fit of the models to the single trial EEG signals distinguished knee exercises from ankle exercise with 90% accuracy. For 3 of 5 subjects, accuracy was 100%. Electrocortical current dipole locations revealed significant differences in the knee and ankle mixture models that were consistent with the somatotopy of the tasks. These data demonstrate that EEG mixture models can distinguish motor tasks that have different somatotopic arrangements, even within the same brain hemisphere.

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In this work, an exoskeleton type robot-assisted rehabilitation system called RehabRoby is developed for rehabilitation purposes. A control architecture, which contains a high-level controller and a low-level controller, is designed for RehabRoby to complete the rehabilitation task in a desired and safe manner. A hybrid system modeling technique is used for high-level controller. An admittance control with inner robust position control loop has been used for the low-level control of RehabRoby. Real-time experiments are performed to evaluate the control architecture of the robot-assisted rehabilitation system RehabRoby.

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A method of configuring a biomimetic mechanical joint for the efficient movement of a support member about a pivot device. The method includes providing a first fractional actuator and a second fractional actuator being operable with the support member and the pivot device, sizing the first fractional actuator for rated operation at a first boundary condition, and sizing the second fractional actuator so that the first and second fractional actuators, when recruited in combination, are rated for operation at a second boundary condition.

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Impaired upper limb function is one of the most common sequelae in central nervous system. In spinal cord injury (SCI) patients, upper limbs are affected in more than 50% of cases (Wyndaele and Wyndaele 2006). Upper limb strength is impaired to some extent in people who have suf-fered cervical SCI making it difficult for them to perform many activities of daily living (ADL) essential for their autonomy such as wheelchair manual propulsion, eating, drinking, and personal hygiene (Parker et al. 1986; Nakayama et al. 1994). In contrast with lower limbs, upper limbs have extensive functionally due to the mobility of numerous joints that can execute fine movements thanks to complex neuromuscular con-trol. Lower limbs movements have been broadly analyzed in biomechanical studies specially regarding gait analysis. Gait analysis has evolved over the last decades as an important technique to assist in the clinical assessment of patients with mobility dysfunction. These techniques are useful for evaluation, treatment, and surgical planning; in addition, sequential assessments help to provide a functional outcome evaluation. Motion analysis offers an objective method for quantifying movement and is considered a gold standard for evaluating lower limb function during gait in different types of patients.

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