AIMC Topic: Walking

Clear Filters Showing 661 to 670 of 774 articles

Improving Ankle Muscle Recruitment via Plantar Pressure Biofeedback during Robot Resisted Gait Training in Cerebral Palsy.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Neurological impairment from stroke or cerebral palsy often presents with diminished ankle plantar flexor function during the propulsive phase of gait. This deficit often results in slow, energy-expensive walking patterns that limit community mobilit...

A stretchable sensor for force estimation in soft wearable robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Soft wearable robots to assist human movements, such as exosuits, have rapidly gained attention thanks to their compliance, low weight and accessibility. However, force measurement in exosuits still rely on load cells and rigid sensors that are not w...

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
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 ...

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
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...

Central pattern generator based on self-sustained oscillator coupled to a chain of oscillatory circuits.

Chaos (Woodbury, N.Y.)
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...

[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
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...

Gait robot-assisted rehabilitation in persons with spinal cord injury: A scoping review.

NeuroRehabilitation
BACKGROUND: Many robots are available for gait rehabilitation (BWSTRT and ORET) and their application in persons with SCI allowed an improvement of walking function.

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
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...

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
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...

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
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 ...