AIMC Topic: Walking

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Effects of walking distance over robot-assisted training on walking ability in chronic stroke patients.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Oct 16, 2020
An understanding of the dose-response during training is important to identify the rehabilitation programs to obtain the improvement in chronic stroke patients. The purpose of this study was to determine whether distance-dose (distance walked across ...
Treatment Outcome Chronic Disease Robotics Adult Male Middle Aged Exercise Therapy Exoskeleton Device Stroke Rehabilitation Walk Test Stroke Walking Gait Humans Aged, 80 and over Young Adult Female Aged
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Hybrid Assistive Limb® for sporadic inclusion body myositis: A case series.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Oct 1, 2020
We evaluated the efficacy of rehabilitation therapy with Hybrid Assistive Limb® (HAL; hereafter HAL therapy) in three patients diagnosed with sporadic inclusion body myositis (sIBM) who were hospitalized to undergo HAL therapy. Among them, one patien...
Humans Female Exoskeleton Device Myositis, Inclusion Body Robotics Walking Exercise Therapy Aged Male Middle Aged
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Spring-loaded inverted pendulum modeling improves neural network estimation of ground reaction forces.

Journal of biomechanics Sep 30, 2020
Inertial-measurement-unit (IMU)-based wearable gait-monitoring systems provide kinematic information but kinetic information, such as ground reaction force (GRF) are often needed to assess gait symmetry and joint loading. Recent studies have reported...
Humans Neural Networks, Computer Walking Biomechanical Phenomena Gait Kinetics
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Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors.

Sensors (Basel, Switzerland) Sep 28, 2020
Quantitative assessments of patient movement quality in osteoarthritis (OA), specifically spatiotemporal gait parameters (STGPs), can provide in-depth insight into gait patterns, activity types, and changes in mobility after total knee arthroplasty (...
Osteoarthritis Arthroplasty, Replacement, Knee Deep Learning Walking Humans Gait
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Neurodynamic modeling of the fruit fly Drosophila melanogaster.

Bioinspiration & biomimetics Sep 14, 2020
This manuscript describes neuromechanical modeling of the fruit fly Drosophila melanogaster in the form of a hexapod robot, Drosophibot, and an accompanying dynamic simulation. Drosophibot is a testbed for real-time dynamical neural controllers model...
Feedback, Sensory Joints Foot Movement Biomimetics Insecta Drosophila melanogaster Neural Networks, Computer Robotics Walking Computer Simulation Animals
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Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals.

International journal of neural systems Sep 11, 2020
Human activity recognition and neural activity analysis are the basis for human computational neureoethology research dealing with the simultaneous analysis of behavioral ethogram descriptions and neural activity measurements. Wireless electroencepha...
Sitting Position Human Activities Monitoring, Ambulatory Standing Position Accelerometry Humans Machine Learning Adult Electroencephalography Walking
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Fast Wearable Sensor-Based Foot-Ground Contact Phase Classification Using a Convolutional Neural Network with Sliding-Window Label Overlapping.

Sensors (Basel, Switzerland) Sep 3, 2020
Classification of foot-ground contact phases, as well as the swing phase is essential in biomechanics domains where lower-limb motion analysis is required; this analysis is used for lower-limb rehabilitation, walking gait analysis and improvement, an...
Humans Gait Analysis Foot Neural Networks, Computer Wearable Electronic Devices Walking
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Mechanics of walking and running up and downhill: A joint-level perspective to guide design of lower-limb exoskeletons.

PloS one Aug 28, 2020
Lower-limb wearable robotic devices can improve clinical gait and reduce energetic demand in healthy populations. To help enable real-world use, we sought to examine how assistance should be applied in variable gait conditions and suggest an approach...
Hip Exoskeleton Device Knee Robotics Humans Locomotion Knee Joint Gait Male Female Gait Analysis Walking Running Lower Extremity Ankle Joint Adult Hip Joint Biomechanical Phenomena Ankle Muscle, Skeletal
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Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning.

Sensors (Basel, Switzerland) Aug 23, 2020
Activity recognition is one of the most active areas of research in ubiquitous computing. In particular, gait activity recognition is useful to identify various risk factors in people's health that are directly related to their physical activity. One...
Gait Analysis Stair Climbing Humans Deep Learning Walking
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General Distributed Neural Control and Sensory Adaptation for Self-Organized Locomotion and Fast Adaptation to Damage of Walking Robots.

Frontiers in neural circuits Aug 17, 2020
Walking animals such as invertebrates can effectively perform self-organized and robust locomotion. They can also quickly adapt their gait to deal with injury or damage. Such a complex achievement is mainly performed via coordination between the legs...
Adaptation, Physiological Robotics Neural Networks, Computer Central Pattern Generators Walking Computer Simulation Locomotion Neuronal Plasticity
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