AIMC Topic: Walking
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Biomechanical mechanisms underlying exosuit-induced improvements in walking economy after stroke.
The Journal of experimental biology
Mar 7, 2018
Stroke-induced hemiparetic gait is characteristically asymmetric and metabolically expensive. Weakness and impaired control of the paretic ankle contribute to reduced forward propulsion and ground clearance - walking subtasks critical for safe and ef...
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...
Small-scale soft-bodied robot with multimodal locomotion.
Nature
Jan 24, 2018
Untethered small-scale (from several millimetres down to a few micrometres in all dimensions) robots that can non-invasively access confined, enclosed spaces may enable applications in microfactories such as the construction of tissue scaffolds by ro...
Automatic recognition of gait patterns in human motor disorders using machine learning: A review.
Medical engineering & physics
Jan 17, 2018
BACKGROUND: automatic recognition of human movement is an effective strategy to assess abnormal gait patterns. Machine learning approaches are mainly applied due to their ability to work with multidimensional nonlinear features.
Machine learning algorithms based on signals from a single wearable inertial sensor can detect surface- and age-related differences in walking.
Journal of biomechanics
Jan 12, 2018
The aim of this study was to investigate if a machine learning algorithm utilizing triaxial accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could detect surface- and age-related differences in walking. Seventeen old...
Motor modules during adaptation to walking in a powered ankle exoskeleton.
Journal of neuroengineering and rehabilitation
Jan 3, 2018
BACKGROUND: Modules of muscle recruitment can be extracted from electromyography (EMG) during motions, such as walking, running, and swimming, to identify key features of muscle coordination. These features may provide insight into gait adaptation as...
Forced Use of the Paretic Leg Induced by a Constraint Force Applied to the Nonparetic Leg in Individuals Poststroke During Walking.
Neurorehabilitation and neural repair
Nov 16, 2017
BACKGROUND: Individuals with stroke usually show reduced muscle activities of the paretic leg and asymmetrical gait pattern during walking.
Effect of robotic-assisted gait rehabilitation on dynamic equilibrium control in the gait of children with cerebral palsy.
Gait & posture
Nov 11, 2017
Due to the intensity and repetition of movement, roboticassisted gait training therapy could have a beneficial effect on the recovery and improvement of postural and locomotor functions of the patient. This study sought to highlight the effects of ro...
Estimating a person's age from walking over a sensor floor.
Computers in biology and medicine
Nov 7, 2017
Ageing has an effect on many parameters of the physical condition, and one of them is the way a person walks. This property, the gait pattern, can unintrusively be observed by letting people walk over a sensor floor. The electric capacitance sensors ...
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