AIMC Topic: Gait Disorders, Neurologic
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Pattern analysis of computer keystroke time series in healthy control and early-stage Parkinson's disease subjects using fuzzy recurrence and scalable recurrence network features.
Journal of neuroscience methods
May 30, 2018
BACKGROUND: Identifying patients with early stages of Parkinson's disease (PD) in a home environment is an important area of neurological disorder research, because it is of therapeutic and economic benefits to optimal intervention and management of ...
Recovery and compensation after robotic assisted gait training in chronic stroke survivors.
Disability and rehabilitation. Assistive technology
May 9, 2018
Gait re-education is a primary rehabilitation goal after stroke. In the last decades, robots with different mechanical structures have been extensively used in the clinical practice for gait training of stroke survivors. However, the effectiveness o...
Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease.
Scientific reports
May 8, 2018
In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clinical, demographic and neuroimaging data from two independent initiatives (University of Michigan and Tel Aviv Sourasky Medical Center). Using machine l...
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification.
Artificial intelligence in medicine
Apr 16, 2018
BACKGROUND AND OBJECTIVE: Parkinson's disease (PD) is considered a degenerative disorder that affects the motor system, which may cause tremors, micrography, and the freezing of gait. Although PD is related to the lack of dopamine, the triggering pro...
Training for mobility with exoskeleton robot in spinal cord injury patients: a pilot study.
European journal of physical and rehabilitation medicine
Mar 7, 2018
BACKGROUND: Wearable robots are people-oriented robots designed to be worn all day, thus helping in the daily activities. They can assist in walking, running, jumping higher or even lifting objects too heavy in normal conditions.
A Poincare map based analysis of stroke patients' walking after a rehabilitation by a robot.
Mathematical biosciences
Mar 5, 2018
Since the past decade, rehabilitation robots have become common technologies for recovering gait ability after a stroke. Nevertheless, it is believed that these robots can be further enhanced. Hence, several researches are making progress in optimizi...
Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.
BioMed research international
Feb 6, 2018
The purpose of this study was to critically evaluate the effects of robot-assisted gait training (RAGT) on gait-related function in patients with acute/subacute stroke. We conducted a systematic review of randomized controlled trials published betwee...
Efficacy of the Regent Suit-based rehabilitation on gait EMG patterns in hemiparetic subjects: a pilot study.
European journal of physical and rehabilitation medicine
Jan 11, 2018
BACKGROUND: The recovery of the functional limb mobility of patients with cerebral damages can take great benefit of the role offered by proprioceptive rehabilitation. Recently have been developed a special Regent Suit (RS) for rehabilitative applica...
Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial.
European journal of physical and rehabilitation medicine
Dec 21, 2017
BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is believed to be associated with a better rehabilitation outcome. Virtual reality (VR) is an innovative approach to engage and motivate patients during trai...
Gait Disorders, Neurologic
Rehabilitation Centers
Stroke
Virtual Reality
Time Factors
Treatment Outcome
Follow-Up Studies
Activities of Daily Living
Physical Therapy Modalities
Stroke Rehabilitation
Robotics
Male
Disability Evaluation
Middle Aged
Single-Blind Method
Humans
Switzerland
Risk Assessment
Female
Pilot Projects
Aged
What does best evidence tell us about robotic gait rehabilitation in stroke patients: A systematic review and meta-analysis.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Dec 6, 2017
BACKGROUND: Studies about electromechanical-assisted devices proved the validity and effectiveness of these tools in gait rehabilitation, especially if used in association with conventional physiotherapy in stroke patients.
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