AIMC Topic: Walking

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Effectiveness of robot-assisted gait training in children with cerebral palsy: a bicenter, pragmatic, randomized, cross-over trial (PeLoGAIT).

BMC pediatrics Mar 2, 2017
BACKGROUND: Walking ability is a priority for many children with cerebral palsy (CP) and their parents when considering domains of importance regarding treatment interventions. Partial body-weight supported treadmill training has become an establishe...
Male Adolescent Child Treatment Outcome Humans Female Gait Exercise Therapy Cross-Over Studies Cerebral Palsy Clinical Protocols Follow-Up Studies Robotics Single-Blind Method Walking
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Metric learning for Parkinsonian identification from IMU gait measurements.

Gait & posture Feb 27, 2017
Diagnosis of people with mild Parkinson's symptoms is difficult. Nevertheless, variations in gait pattern can be utilised to this purpose, when measured via Inertial Measurement Units (IMUs). Human gait, however, possesses a high degree of variabilit...
Aged, 80 and over Adult Male Middle Aged Gait Gait Disorders, Neurologic Parkinson Disease Walking Machine Learning Algorithms Female Aged Humans
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The effectiveness of Robot-Assisted Gait Training versus conventional therapy on mobility in severely disabled progressIve MultiplE sclerosis patients (RAGTIME): study protocol for a randomized controlled trial.

Trials Feb 27, 2017
BACKGROUND: Gait and mobility impairments affect the quality of life (QoL) of patients with progressive multiple sclerosis (MS). Robot-assisted gait training (RAGT) is an effective rehabilitative treatment but evidence of its superiority compared to ...
Single-Blind Method Italy Walking Gait Recovery of Function Robotics Postural Balance Disability Evaluation Clinical Protocols Multiple Sclerosis, Chronic Progressive Exercise Therapy Exercise Tolerance Muscle Fatigue Mobility Limitation Middle Aged Severity of Illness Index Surveys and Questionnaires Adolescent Treatment Outcome Neuronal Plasticity Muscle, Skeletal Time Factors Persons with Disabilities Young Adult Humans Adult Biomechanical Phenomena Male Research Design Biomarkers Female Aged
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A convolutional neural network for steady state visual evoked potential classification under ambulatory environment.

PloS one Feb 22, 2017
The robust analysis of neural signals is a challenging problem. Here, we contribute a convolutional neural network (CNN) for the robust classification of a steady-state visual evoked potentials (SSVEPs) paradigm. We measure electroencephalogram (EEG)...
Visual Perception Humans Neural Networks, Computer Walking Brain Algorithms Brain-Computer Interfaces Electroencephalography Evoked Potentials, Visual
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Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer.

PloS one Feb 15, 2017
Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations over weeks and months based on questionnaires, which may not accurately map ...
Aged, 80 and over Male Middle Aged Support Vector Machine Humans Parkinson Disease Female Walking Aged Activities of Daily Living Accelerometry
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In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury.

Journal of neuroengineering and rehabilitation Feb 6, 2017
BACKGROUND: Although commercially available activity trackers can aid in tracking therapy and recovery of patients, most devices perform poorly for patients with irregular movement patterns. Standard machine learning techniques can be applied on reco...
Spinal Cord Injuries Movement Humans Machine Learning Female Walking Adult Male Monitoring, Ambulatory Posture Accelerometry
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Robotic-assisted gait training improves walking abilities in diplegic children with cerebral palsy.

European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society Feb 2, 2017
The robotic-assisted gait training therapy (RAGT), based on intensity and repetition of movement, presents beneficial effects on recovery and improvement of postural and locomotor functions of the patient. This study sought to highlight the effect of...
Humans Female Biomechanical Phenomena Male Walking Child Gait Robotics Exercise Therapy Postural Balance Cerebral Palsy
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WAKE-Up Exoskeleton to Assist Children With Cerebral Palsy: Design and Preliminary Evaluation in Level Walking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 11, 2017
This paper presents the modular design and control of a novel compliant lower limbmulti-joint exoskeleton for the rehabilitation of ankle kneemobility and locomotion of pediatric patients with neurological diseases, such as Cerebral Palsy (CP). The d...
Equipment Failure Analysis Exoskeleton Device Gait Disorders, Neurologic Neurological Rehabilitation Equipment Design Walking Gait Cerebral Palsy Pilot Projects Humans Child, Preschool Female Treatment Outcome Reproducibility of Results Robotics Sensitivity and Specificity Male
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The effectiveness of robotic-assisted gait training for paediatric gait disorders: systematic review.

Journal of neuroengineering and rehabilitation Jan 5, 2017
BACKGROUND: Robotic-assisted gait training (RAGT) affords an opportunity to increase walking practice with mechanical assistance from robotic devices, rather than therapists, where the child may not be able to generate a sufficient or correct motion ...
Child Robotics Walking Humans Adolescent Outcome Assessment, Health Care Physical Therapy Modalities Gait Disorders, Neurologic
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Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Dec 8, 2016
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double-integration approaches to extract these parameters from inertial sensor data are, however, limited in their...
Foot Signal Processing, Computer-Assisted Humans Walking Neural Networks, Computer Gait Machine Learning Accelerometry Regression Analysis
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