AIMC Topic: Walking

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Prediction of lower limb kinematics from vision-based system using deep learning approaches.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The joint angular velocity during daily life exercises is an important clinical outcome for injury risk index, rehabilitation progress monitoring and athlete's performance evaluation. Recently, wearable sensors have been widely used to monitor lower ...
Humans Lower Extremity Knee Joint Walking Biomechanical Phenomena Deep Learning
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Predicting Future Mobility Limitation in Older Adults: A Machine Learning Analysis of Health ABC Study Data.

The journals of gerontology. Series A, Biological sciences and medical sciences May 5, 2022
BACKGROUND: Mobility limitation in older adults is common and associated with poor health outcomes and loss of independence. Identification of at-risk individuals remains challenging because of time-consuming clinical assessments and limitations of s...
Mobility Limitation Walking Walking Speed Humans Machine Learning Aged Body Mass Index
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Central pattern generator based on self-sustained oscillator coupled to a chain of oscillatory circuits.

Chaos (Woodbury, N.Y.) Mar 1, 2022
We have proposed and studied both numerically and experimentally a multistable system based on a self-sustained Van der Pol oscillator coupled to passive oscillatory circuits. The number of passive oscillators determines the number of multistable osc...
Central Pattern Generators Walking Gait Feedback Robotics
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[Research on gait recognition and prediction based on optimized machine learning algorithm].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2022
Aiming at the problems of individual differences in the asynchrony process of human lower limbs and random changes in stride during walking, this paper proposes a method for gait recognition and prediction using motion posture signals. The research a...
Humans Algorithms Walking Gait Neural Networks, Computer Machine Learning
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Gait robot-assisted rehabilitation in persons with spinal cord injury: A scoping review.

NeuroRehabilitation Jan 1, 2022
BACKGROUND: Many robots are available for gait rehabilitation (BWSTRT and ORET) and their application in persons with SCI allowed an improvement of walking function.
Spinal Cord Injuries Exoskeleton Device Humans Walking Gait Robotics
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Virtual reality combined with robot-assisted gait training to improve walking ability of children with cerebral palsy: A randomized controlled trial.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2022
BACKGROUND: Children with cerebral palsy (CP) have disorders of posture and movement and which can limit physical activities such as walkingOBJECTIVE: This study aims to investigate the effectiveness of virtual reality (VR) combined with robot-assist...
Cerebral Palsy Gait Exercise Therapy Weight Loss Child Robotics Walking Humans Virtual Reality
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Acoustic Based Footstep Detection in Pervasive Healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Passive detection of footsteps in domestic settings can allow the development of assistive technologies that can monitor mobility patterns of older adults in their home environment. Acoustic footstep detection is a promising approach for non-intrusiv...
Humans Aged Home Environment Walking Noise Neural Networks, Computer Acoustics Delivery of Health Care
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Channel Synergy-based Human-Robot Interface for a Lower Limb Walking Assistance Exoskeleton.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The human-robot interface (HRI) based on surface electromyography(sEMG) can realize the natural interaction between human and robot. It has been widely used in exoskeleton robots recently to help predict the wearer's movement. The sEMG signal of the ...
Walking Exoskeleton Device Robotics Electromyography Humans Lower Extremity
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Mechanical Efficiency Investigation of an Ankle-Assisted Robot for Human Walking With a Backpack-Load.

Journal of biomechanical engineering Nov 1, 2021
The purpose of this work is to investigate the efficiency of wearable assistive devices under different load-carriage walking. We designed an experimental platform with a lightweight ankle-assisted robot. Eight subjects were tested in three experimen...
Humans Weight-Bearing Female Biomechanical Phenomena Adult Mechanical Phenomena Robotics Male Walking Ankle
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Effect of robotic-assisted gait training on functional status, walking and quality of life in complete spinal cord injury.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation Sep 1, 2021
The purpose of this study was to investigate the effect of robotic-assisted gait training (RAGT) on functional status and the quality of life in patients with subacute complete spinal cord injury (SCI). Thirty-seven patients with complete SCI were in...
Walking Gait Spinal Cord Injuries Robotics Humans Functional Status Quality of Life
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