In this paper, we introduce an efficient tensor to vector projection algorithm for human gait feature representation and recognition. The proposed approach is based on the multidimensional or tensor signal processing technology, which finds a low-dimensional tensor subspace of original input gait sequence tensors while most of the data variation has been well captured. In order to further enhan...

Background: It is known that music influences gait parameters in Parkinson’s disease (PD). However, it remains unclear whether this effect merely due to temporal aspects of (rhythm and tempo) or other musical parameters. Objective: To examine the influence pleasant unpleasant on spatiotemporal PD, while controlling for rhythmic signal. Methods: We measured 18 patients suffering from mild PD (50...

Objectives. (a) To determine associations among motor evoked potential (MEP) amplitude, MEP latency, lower extremity (LE) impairment, and gait velocity and (b) determine the association between the presence of a detectable MEP signal with LE impairment and with gait velocity. Method. 35 subjects with chronic, stable LE hemiparesis were undergone TMS, the LE section of the Fugl-Meyer Impairment ...

Objectives: To determine gait characteristics of community-dwelling older adults at different speeds and during a crosswalk simulation. Methods: Twenty-two older adults completed walking trials at self-selected slow, usual, and fast paces, and at a crosswalk simulation, using the GAITRite walkway. These objective measures were complemented by self-report health and mobility questionnaires. Resu...

in this paper the simulation of pathological behavior in gait locomotion of central nervous system (cns) diseases and effects of rehabilitation techniques are investigated. these simulations noticeably deepen the knowledge of researches in neurorehabilitation realm about the neuroscientific basis of cns treatment after a neural disorder. however, only a limited number of these simulations have ...

Parkinson's disease (PD) is a neurodegenerative disease that occurs due to loss of dopamine, a neurotransmitter and slow destruction of neurons. Brain area affected by progressive destruction of neurons is responsible for controlling movements, rigid gestures of patients with PD, uncontrollable position, postural instability, and tremor. Commercial activity-promoting gaming systems such as the ...

BACKGROUND Analysis of gait features provides important information during the treatment of neurological disorders, including Parkinson's disease. It is also used to observe the effects of medication and rehabilitation. The methodology presented in this paper enables the detection of selected gait attributes by Microsoft (MS) Kinect image and depth sensors to track movements in three-dimensiona...

Under investigation is whether intramuscular (IM) electromyography can be used to trigger functional electrical stimulation (FES) to improve ambulation for the child with cerebral palsy (CP). In this study, bifilar percutaneous intramuscular (IM) recording electrodes were implanted bilaterally into a quadriceps muscle of a child with CP. Following implantation, 5 walking trials consisting of 2-...

In this paper, we present an approach to sense human body capacitance and apply it to recognize lower limb locomotion modes. The proposed wearable sensing system includes sensing bands, a signal processing circuit and a gait event detection module. Experiments on long-term working stability, adaptability to disturbance and locomotion mode recognition are carried out to validate the effectivenes...

Center for Adaptive Systems and Department of Cognitive and Neural Systems Boston University, 111 Cummington Street, Boston, MA 02215 A four-channel neural pattern generator is described in which both the frequency and the relative phase of oscillations are controlled by a scalar arousal or GO signal. The generator is used to simulate quadruped gaits; in particular, rapid transitions are simula...