AIMC Topic: Walking

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Walking improvement in chronic incomplete spinal cord injury with exoskeleton robotic training (WISE): a randomized controlled trial.

Spinal cord Jan 29, 2022
STUDY DESIGN: Clinical trial.
Exoskeleton Device Gait Humans Exercise Therapy Robotics Spinal Cord Injuries Robotic Surgical Procedures Walking
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Real-time motion onset recognition for robot-assisted gait rehabilitation.

Journal of neuroengineering and rehabilitation Jan 28, 2022
BACKGROUND: Many patients with neurological movement disorders fear to fall while performing postural transitions without assistance, which prevents them from participating in daily life. To overcome this limitation, multi-directional Body Weight Sup...
Humans Walking Gait Robotics Spinal Cord Injuries Sitting Position
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Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2022
The purpose of this study was to compare a heuristic feature identification algorithm with output from the Beta Process Auto Regressive Hidden Markov Model (BP-AR-HMM) utilizing minimally sampled (≤ 100 Hz) human locomotion data for identification of...
Humans Walking Gait Biomechanical Phenomena Heuristics Algorithms Unsupervised Machine Learning
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Crab-inspired compliant leg design method for adaptive locomotion of a multi-legged robot.

Bioinspiration & biomimetics Jan 24, 2022
has unique limb structures composed of a hard exoskeleton and flexible muscles. They enable the crab to locomote adaptively and safely on various terrains. In this work, we investigated the limb structures, motion principle, and gaits of the crab usi...
Locomotion Leg Walking Lower Extremity Gait Robotics
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Learning robust perceptive locomotion for quadrupedal robots in the wild.

Science robotics Jan 19, 2022
Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into underexplored areas. Exteroceptive perception is crucial for fast and energy-efficient locomotion: Perceiving th...
Models, Biological Seasons Biomimetics Walking Gait Environment Proprioception Biomimetic Materials Locomotion Humans Neural Networks, Computer Computer Simulation Robotics Machine Learning
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Deep learning approach to estimate foot pressure distribution in walking with application for a cost-effective insole system.

Journal of neuroengineering and rehabilitation Jan 16, 2022
BACKGROUND: Foot pressure distribution can be used as a quantitative parameter for evaluating anatomical deformity of the foot and for diagnosing and treating pathological gait, falling, and pressure sores in diabetes. The objective of this study was...
Humans Pressure Foot Orthoses Shoes Gait Aged Walking Cost-Benefit Analysis Deep Learning
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Human Activity Recognition Based on Residual Network and BiLSTM.

Sensors (Basel, Switzerland) Jan 14, 2022
Due to the wide application of human activity recognition (HAR) in sports and health, a large number of HAR models based on deep learning have been proposed. However, many existing models ignore the effective extraction of spatial and temporal featur...
Running Human Activities Walking Humans Neural Networks, Computer Deep Learning
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Metaheuristics with Deep Learning-Enabled Parkinson's Disease Diagnosis and Classification Model.

Journal of healthcare engineering Jan 10, 2022
Parkinson's disease (PD) affects the movement of people, including the differences in writing skill, speech, tremor, and stiffness in muscles. It is significant to detect the PD at the initial stages so that the person can live a peaceful life for a ...
Rats Parkinson Disease Walking Deep Learning Speech Algorithms Animals Humans
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The Impact of Load Style Variation on Gait Recognition Based on sEMG Images Using a Convolutional Neural Network.

Sensors (Basel, Switzerland) Dec 15, 2021
Surface electromyogram (sEMG) signals are widely employed as a neural control source for lower-limb exoskeletons, in which gait recognition based on sEMG is particularly important. Many scholars have taken measures to improve the accuracy of gait rec...
Neural Networks, Computer Gait Male Electromyography Humans Support Vector Machine Walking
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The Effects of Over-Ground Robot-Assisted Gait Training for Children with Ataxic Cerebral Palsy: A Case Report.

Sensors (Basel, Switzerland) Nov 26, 2021
Poor balance and ataxic gait are major impediments to independent living in ataxic cerebral palsy (CP). Robot assisted-gait training (RAGT) has been shown to improve the postural balance and gait function in children with CP. However, there is no rep...
Gait Robotics Ataxia Time and Motion Studies Exercise Therapy Humans Postural Balance Cerebral Palsy Genetic Diseases, Inborn Child Walking
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